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Posted to dev@drill.apache.org by GitBox <gi...@apache.org> on 2022/12/19 07:45:27 UTC
[GitHub] [drill] weijunlu opened a new issue, #2723: Failed to execute an insert statement across the database
weijunlu opened a new issue, #2723:
URL: https://github.com/apache/drill/issues/2723
Failed to execute an insert statement across the database.
Steps to reproduce the behavior:
1. Prepare the mysql and postgresql table structures and data
mysql：
create table t1(c1 int, c2 int);
insert into t1 values (1,1), (2,2);
postgres:
create table t1(c1 int, c2 int);
2. Create mysql and postgresql Plugins in Storage label via http://localhost:8047/storage pages.
3.Execute the following sql statement using sqlline.
Jupiter> insert into pg.public.t1 select c1, c2 from mysql.test.t1;
Error: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.
Sql: INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`)
Fragment: 0:0
[Error Id: a5b3ee38-38f5-4945-afda-8a7d4746df4c on DESKTOP-PHHB7LC:31010] (state=,code=0)
4. The execution plan in the log is as follows：
2022-12-19 14:36:32,447 [1c5ffc63-764a-c5ab-4d06-90e658b8e132:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Drill Physical:
00-00 Screen : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 614
00-01 Jdbc(sql=[INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) ]) : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 604
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[GitHub] [drill] weijunlu commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
weijunlu commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1366575973
2022-12-28 19:03:07,204 [main] DEBUG o.a.d.j.impl.DrillStatementRegistry - Adding to open-statements registry: org.apache.drill.jdbc.impl.DrillStatementImpl@71df3d2b
2022-12-28 19:03:07,204 [main] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query listener created.
2022-12-28 19:03:07,204 [main] DEBUG o.apache.drill.jdbc.impl.DrillCursor - Setting timeout as 0
2022-12-28 19:03:07,206 [UserServer-1] DEBUG o.a.d.e.r.u.UserServerRequestHandler - Received query to run. Returning query handle.
2022-12-28 19:03:07,215 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested PREPARING --> PLANNING
2022-12-28 19:03:07,215 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] INFO o.a.drill.exec.work.foreman.Foreman - Query text for query with id 1c53dd94-4277-9ab0-effe-18b1ab8989ac issued by anonymous: insert into pg.public.t1 select c1, c2 from mysql.test.t1
2022-12-28 19:03:07,215 [Client-1] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Received query ID: 1c53dd94-4277-9ab0-effe-18b1ab8989ac.
2022-12-28 19:03:07,215 [Client-1] DEBUG o.a.d.e.rpc.user.QueryResultHandler - Received QueryId 1c53dd94-4277-9ab0-effe-18b1ab8989ac successfully. Adding results listener org.apache.drill.jdbc.impl.DrillCursor$ResultsListener@29741514.
2022-12-28 19:03:07,222 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE org.apache.calcite.sql.parser - After unconditional rewrite: INSERT INTO `pg`.`public`.`t1`
(SELECT `c1`, `c2`
FROM `mysql`.`test`.`t1`)
2022-12-28 19:03:07,308 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE org.apache.calcite.sql.parser - After validation: INSERT INTO `pg`.`public`.`t1`
(SELECT `t1`.`c1`, `t1`.`c2`
FROM `mysql`.`test`.`t1` AS `t1`)
2022-12-28 19:03:07,308 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'pg'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'mysql'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'AS'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,309 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false
2022-12-28 19:03:07,312 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false
2022-12-28 19:03:07,312 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'pg'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'mysql'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'AS'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'pg'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'mysql'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'AS'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,313 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false
2022-12-28 19:03:07,315 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG org.apache.calcite.sql2rel - Plan after converting SqlNode to RelNode
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[false])
LogicalProject(c1=[$0], c2=[$1])
JdbcTableScan(table=[[mysql, test, t1]])
2022-12-28 19:03:07,316 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - INITIAL:
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 91
LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 90
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,317 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#96:HepRelVertex(rel#95:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#94,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#95:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#94,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#94:HepRelVertex(rel#93:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#92,inputs=0..1)) = rel#93:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#92,inputs=0..1), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#92:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [SubQueryRemoveRule:Filter]
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [SubQueryRemoveRule:Project]
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [SubQueryRemoveRule:Join]
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#95:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#94,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#93:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#92,inputs=0..1)
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,318 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP:Sub-queries rewrites (1ms):
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 95
LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 93
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#101:HepRelVertex(rel#100:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#99,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#100:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#99,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#99:HepRelVertex(rel#98:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#97,inputs=0..1)) = rel#98:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#97,inputs=0..1), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#97:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ReduceExpressionsRule(Calc)]
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ProjectToWindowRule:project]
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#100:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#99,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#98:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#97,inputs=0..1)
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,319 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP:Window Function rewrites (1ms):
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 100
LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 98
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#108:HepRelVertex(rel#107:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#106,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#107:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#106,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#106:HepRelVertex(rel#105:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#104,inputs=0..1)) = rel#105:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#104,inputs=0..1), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#104:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.ProjectOnScan]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterOnScan]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterProjectScan]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Project]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Scan]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PartitionColumnScanPruningRule:Prune_On_Scan]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ConvertCountToDirectScanRule:Agg_on_proj_on_scan]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ConvertCountToDirectScanRule:Agg_on_scan]
2022-12-28 19:03:07,321 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#107:LogicalTableModify.NONE.ANY([]).[](input=HepRelVertex#106,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#105:LogicalProject.NONE.ANY([]).[](input=HepRelVertex#104,inputs=0..1)
2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,322 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Directory Prune Planning (1ms):
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {2.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 107
LogicalProject(c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0000001E9 rows, 2.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,323 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]] cost was {inf} now {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) in rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]
2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#110:LogicalProject.NONE.ANY([]).[](input=RelSubset#109,inputs=0..1) in rel#111:RelSubset#1.NONE.ANY([]).[]
2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ProjectRemoveRule] rels [#110]
2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillProjectRule] rels [#110]
2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ReduceAndSimplifyProjectRule] rels [#110]
2022-12-28 19:03:07,324 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ReduceExpressionsRule(Project)] rels [#110]
2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#113:RelSubset#2.NONE.ANY([]).[]
2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [DrillTableModifyRule] rels [#112]
2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
2022-12-28 19:03:07,325 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]) in rel#114:RelSubset#2.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#115]
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf}
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
LogicalTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 112
LogicalProject(subset=[rel#111:RelSubset#1.NONE.ANY([]).[]], c1=[$0], c2=[$1]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 2.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 110
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#1, type: RecordType(INTEGER c1, INTEGER c2)
rel#111:RelSubset#1.NONE.ANY([]).[], best=null
rel#110:LogicalProject.NONE.ANY([]).[](input=RelSubset#109,inputs=0..1), rowcount=1.0E9, cumulative cost={inf}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=null
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
}
subgraph cluster1{
label="Set 1 RecordType(INTEGER c1, INTEGER c2)";
rel110 [label="rel#110:LogicalProject\ninput=RelSubset#109,inputs=0..1\nrows=1.0E9, cost={inf}",shape=box]
subset111 [label="rel#111:RelSubset#1.NONE.ANY([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]",color=red]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset111 -> rel110; rel110 -> subset109;
subset113 -> rel112; rel112 -> subset111;
subset114 -> rel115; rel115 -> subset113;
}
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ProjectRemoveRule] rels [#110]
rule [ReduceAndSimplifyProjectRule] rels [#110]
rule [ReduceExpressionsRule(Project)] rels [#110]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
rule [DrillProjectRule] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ProjectRemoveRule] rels [#110]
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Apply rule [ProjectRemoveRule] to [rel#110:LogicalProject]
2022-12-28 19:03:07,326 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#116 via ProjectRemoveRule
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Full plan for rule input [rel#110:LogicalProject]:
LogicalProject(c1=[$0], c2=[$1])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Rule [ProjectRemoveRule] produced [rel#116:RelSubset]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169: Full plan for [rel#116:RelSubset]:
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Merge set#1 into set#0
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rename #112 from 'LogicalTableModify.NONE.ANY([]).[](input=RelSubset#111,table=[pg, public, t1],operation=INSERT,flattened=true)' to 'LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true)'
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#169 generated 1 successors: [rel#116:RelSubset#0.NONE.ANY([]).[]]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf}
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
LogicalTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 112
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=null
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]",color=red]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
}
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ReduceAndSimplifyProjectRule] rels [#110]
rule [ReduceExpressionsRule(Project)] rels [#110]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
rule [DrillProjectRule] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [ReduceAndSimplifyProjectRule] rels [#110]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ReduceExpressionsRule(Project)] rels [#110]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
rule [DrillProjectRule] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [ReduceExpressionsRule(Project)] rels [#110]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
rule [DrillProjectRule] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
2022-12-28 19:03:07,327 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#89:JdbcTableScan]
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#117 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Full plan for rule input [rel#89:JdbcTableScan]:
JdbcTableScan(table=[[mysql, test, t1]])
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#117:VertexDrel]
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165: Full plan for [rel#117:VertexDrel]:
VertexDrel
JdbcTableScan(table=[[mysql, test, t1]])
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#119:RelSubset#0.LOGICAL.ANY([]).[]] cost was {inf} now {1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109) in rel#119:RelSubset#0.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#165 generated 1 successors: [rel#117:VertexDrel.LOGICAL.ANY([]).[](input=JdbcTableScan#89)]
2022-12-28 19:03:07,328 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf}
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
LogicalTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 112
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=null
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]",color=red]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
}
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [DrillProjectRule] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [DrillProjectRule] rels [#110]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.mysql)] rels [#110]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Skip match: rule [DrillJdbcProjectRule(in:NONE,out:JDBC.pg)] rels [#110]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [DrillTableModifyRule] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [DrillTableModifyRule] rels [#112]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Apply rule [DrillTableModifyRule] to [rel#112:LogicalTableModify]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#120 via DrillTableModifyRule
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Full plan for rule input [rel#112:LogicalTableModify]:
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Rule [DrillTableModifyRule] produced [rel#120:DrillTableModify]
2022-12-28 19:03:07,329 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198: Full plan for [rel#120:DrillTableModify]:
DrillTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#114:RelSubset#2.LOGICAL.ANY([]).[]] cost was {inf} now {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#114:RelSubset#2.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120]
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#198 generated 1 successors: [rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true)]
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue];
}
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[GitHub] [drill] weijunlu commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
weijunlu commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1366577871
2022-12-28 19:03:07,401 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Drill Plan :
{
"head" : {
"version" : 1,
"generator" : {
"type" : "InsertHandler",
"info" : ""
},
"type" : "APACHE_DRILL_PHYSICAL",
"options" : [ ],
"queue" : 0,
"hasResourcePlan" : false,
"scannedPluginNames" : [ "mysql", "pg" ],
"resultMode" : "EXEC"
},
"graph" : [ {
"pop" : "jdbc-scan",
"@id" : 1,
"sql" : "INSERT INTO `public`.`t1` (`c1`, `c2`)\r\n(SELECT *\r\nFROM `test`.`t1`)",
"columns" : [ "`ROWCOUNT`" ],
"config" : {
"type" : "jdbc",
"driver" : "com.mysql.jdbc.Driver",
"url" : "jdbc:mysql://localhost:3316",
"username" : "root",
"caseInsensitiveTableNames" : true,
"writable" : true,
"authMode" : "SHARED_USER",
"writerBatchSize" : 10000,
"enabled" : true
},
"userName" : "anonymous",
"cost" : {
"memoryCost" : 1.6777216E7,
"outputRowCount" : 1.0E9
}
}, {
"pop" : "screen",
"@id" : 0,
"child" : 1,
"initialAllocation" : 1000000,
"maxAllocation" : 10000000000,
"cost" : {
"memoryCost" : 1.6777216E7,
"outputRowCount" : 1.0E9
}
} ]
}
2022-12-28 19:03:07,402 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.f.SimpleParallelizer - Root fragment:
handle {
query_id {
part1: 2041218684968999600
part2: -1153457303194072660
}
major_fragment_id: 0
minor_fragment_id: 0
}
leaf_fragment: true
assignment {
address: "DESKTOP-PHHB7LC"
user_port: 31010
control_port: 31011
data_port: 31012
version: "2.0.0-SNAPSHOT"
state: STARTUP
}
foreman {
address: "DESKTOP-PHHB7LC"
user_port: 31010
control_port: 31011
data_port: 31012
version: "2.0.0-SNAPSHOT"
state: STARTUP
}
mem_initial: 1000000
mem_max: 10000000000
credentials {
user_name: "anonymous"
}
context {
query_start_time: 1672225387214
time_zone: 299
default_schema_name: ""
session_id: "0b3af775-337f-4db3-8ce4-52e20d5c50ee"
}
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.drill.exec.work.foreman.Foreman - PlanFragments for query part1: 2041218684968999600
part2: -1153457303194072660
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested PLANNING --> ENQUEUED
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested ENQUEUED --> STARTING
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.exec.rpc.control.WorkEventBus - Adding fragment status listener for queryId 1c53dd94-4277-9ab0-effe-18b1ab8989ac.
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.work.foreman.FragmentsRunner - Submitting fragments to run.
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.exec.ops.FragmentContextImpl - Getting initial memory allocation of 1000000
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.exec.ops.FragmentContextImpl - Fragment max allocation: 10000000000
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.work.batch.IncomingBuffers - Came up with a list of 0 required fragments. Fragments {}
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.work.foreman.FragmentsRunner - Fragments running.
2022-12-28 19:03:07,403 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested STARTING --> RUNNING
2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.physical.impl.BaseRootExec - BaseRootExec(60762332) operators: org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch 654876346
2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.physical.impl.ImplCreator - Took 17 ms to create RecordBatch tree
2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.fragment.FragmentExecutor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State change requested AWAITING_ALLOCATION --> RUNNING
2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.f.FragmentStatusReporter - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State to report: RUNNING
2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.work.foreman.QueryManager - New fragment status was provided to QueryManager of profile {
state: RUNNING
minor_fragment_id: 0
operator_profile {
input_profile {
records: 0
batches: 0
schemas: 0
}
operator_id: 1
operator_type: 44
setup_nanos: 0
process_nanos: 9931000
peak_local_memory_allocated: 0
wait_nanos: 0
operator_type_name: "JDBC_SCAN"
}
operator_profile {
input_profile {
records: 0
batches: 0
schemas: 0
}
operator_id: 0
operator_type: 13
setup_nanos: 0
process_nanos: 0
peak_local_memory_allocated: 0
wait_nanos: 0
operator_type_name: "SCREEN"
}
start_time: 1672225387403
end_time: 1672225387421
memory_used: 2000000
max_memory_used: 2000000
endpoint {
address: "DESKTOP-PHHB7LC"
user_port: 31010
control_port: 31011
data_port: 31012
version: "2.0.0-SNAPSHOT"
state: STARTUP
}
}
handle {
query_id {
part1: 2041218684968999600
part2: -1153457303194072660
}
major_fragment_id: 0
minor_fragment_id: 0
}
2022-12-28 19:03:07,421 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.fragment.FragmentExecutor - Starting fragment 0:0 on DESKTOP-PHHB7LC:31010
2022-12-28 19:03:07,456 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.store.jdbc.JdbcBatchReader - User Error Occurred: The JDBC storage plugin failed while trying setup the SQL query. (Table 'public.t1' doesn't exist)
org.apache.drill.common.exceptions.UserException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.
Sql: INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`)
[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 ]
at org.apache.drill.common.exceptions.UserException$Builder.build(UserException.java:675)
at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:155)
at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211)
at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76)
at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129)
at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103)
at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93)
at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762)
at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310)
at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at com.mysql.jdbc.Util.handleNewInstance(Util.java:403)
at com.mysql.jdbc.Util.getInstance(Util.java:386)
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254)
at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44)
at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java)
at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136)
... 21 common frames omitted
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] ERROR o.a.d.e.physical.impl.BaseRootExec - Batch dump started: dumping last 1 failed batches
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] ERROR o.a.d.e.p.i.p.OperatorRecordBatch - OperatorRecordBatch[batchAccessor=org.apache.drill.exec.physical.impl.protocol.VectorContainerAccessor@16ed85d5, lastOutcome=null]
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] ERROR o.a.d.e.physical.impl.BaseRootExec - Batch dump completed.
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.fragment.FragmentExecutor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State change requested RUNNING --> FAILED
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.ops.OperatorContextImpl - Closing context for org.apache.drill.exec.store.jdbc.JdbcSubScan
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.physical.impl.BaseRootExec - closed operator 654876346
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.ops.OperatorContextImpl - Attempted to close Operator context for org.apache.drill.exec.store.jdbc.JdbcSubScan, but context is already closed
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.ops.OperatorContextImpl - Closing context for org.apache.drill.exec.physical.config.Screen
2022-12-28 19:03:07,457 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] INFO o.a.d.e.w.fragment.FragmentExecutor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0: State change requested FAILED --> FINISHED
2022-12-28 19:03:07,463 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.work.foreman.QueryManager - New fragment status was provided to QueryManager of profile {
state: FAILED
error {
error_id: "160a04a4-caff-42ae-ac68-06669b926853"
endpoint {
address: "DESKTOP-PHHB7LC"
user_port: 31010
control_port: 31011
data_port: 31012
version: "2.0.0-SNAPSHOT"
state: STARTUP
}
error_type: DATA_READ
message: "DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query. \n\nSql: INSERT INTO `public`.`t1` (`c1`, `c2`)\r\n(SELECT *\r\nFROM `test`.`t1`)\r\nFragment: 0:0\r\n\r\n[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010]"
exception {
exception_class: "com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException"
message: "Table \'public.t1\' doesn\'t exist"
stack_trace {
class_name: "..."
line_number: 0
method_name: "..."
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.Util"
file_name: "Util.java"
line_number: 403
method_name: "handleNewInstance"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.Util"
file_name: "Util.java"
line_number: 386
method_name: "getInstance"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.SQLError"
file_name: "SQLError.java"
line_number: 944
method_name: "createSQLException"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 3933
method_name: "checkErrorPacket"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 3869
method_name: "checkErrorPacket"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 2524
method_name: "sendCommand"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 2675
method_name: "sqlQueryDirect"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.ConnectionImpl"
file_name: "ConnectionImpl.java"
line_number: 2465
method_name: "execSQL"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.PreparedStatement"
file_name: "PreparedStatement.java"
line_number: 1915
method_name: "executeInternal"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.PreparedStatement"
file_name: "PreparedStatement.java"
line_number: 1254
method_name: "execute"
is_native_method: false
}
stack_trace {
class_name: "com.zaxxer.hikari.pool.ProxyPreparedStatement"
file_name: "ProxyPreparedStatement.java"
line_number: 44
method_name: "execute"
is_native_method: false
}
stack_trace {
class_name: "com.zaxxer.hikari.pool.HikariProxyPreparedStatement"
file_name: "HikariProxyPreparedStatement.java"
line_number: -1
method_name: "execute"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.store.jdbc.JdbcBatchReader"
file_name: "JdbcBatchReader.java"
line_number: 136
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework"
file_name: "ManagedScanFramework.java"
line_number: 211
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader"
file_name: "ShimBatchReader.java"
line_number: 76
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.ReaderState"
file_name: "ReaderState.java"
line_number: 224
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec"
file_name: "ScanOperatorExec.java"
line_number: 286
method_name: "nextAction"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec"
file_name: "ScanOperatorExec.java"
line_number: 242
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver"
file_name: "OperatorDriver.java"
line_number: 201
method_name: "doNext"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver"
file_name: "OperatorDriver.java"
line_number: 179
method_name: "start"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver"
file_name: "OperatorDriver.java"
line_number: 129
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch"
file_name: "OperatorRecordBatch.java"
line_number: 149
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.BaseRootExec"
file_name: "BaseRootExec.java"
line_number: 103
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot"
file_name: "ScreenCreator.java"
line_number: 81
method_name: "innerNext"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.BaseRootExec"
file_name: "BaseRootExec.java"
line_number: 93
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor"
file_name: "FragmentExecutor.java"
line_number: 321
method_name: "lambda$run$0"
is_native_method: false
}
stack_trace {
class_name: "..."
line_number: 0
method_name: "..."
is_native_method: false
}
stack_trace {
class_name: "org.apache.hadoop.security.UserGroupInformation"
file_name: "UserGroupInformation.java"
line_number: 1762
method_name: "doAs"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor"
file_name: "FragmentExecutor.java"
line_number: 310
method_name: "run"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.common.SelfCleaningRunnable"
file_name: "SelfCleaningRunnable.java"
line_number: 38
method_name: "run"
is_native_method: false
}
stack_trace {
class_name: "..."
line_number: 0
method_name: "..."
is_native_method: false
}
}
}
minor_fragment_id: 0
operator_profile {
input_profile {
records: 0
batches: 0
schemas: 0
}
operator_id: 1
operator_type: 44
setup_nanos: 0
process_nanos: 45495300
peak_local_memory_allocated: 0
wait_nanos: 0
operator_type_name: "JDBC_SCAN"
}
operator_profile {
input_profile {
records: 0
batches: 0
schemas: 0
}
operator_id: 0
operator_type: 13
setup_nanos: 0
process_nanos: 2097
peak_local_memory_allocated: 0
wait_nanos: 1501
operator_type_name: "SCREEN"
}
start_time: 1672225387403
end_time: 1672225387457
memory_used: 0
max_memory_used: 2000000
endpoint {
address: "DESKTOP-PHHB7LC"
user_port: 31010
control_port: 31011
data_port: 31012
version: "2.0.0-SNAPSHOT"
state: STARTUP
}
}
handle {
query_id {
part1: 2041218684968999600
part2: -1153457303194072660
}
major_fragment_id: 0
minor_fragment_id: 0
}
2022-12-28 19:03:07,469 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested RUNNING --> FAILED
2022-12-28 19:03:07,471 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] WARN o.a.d.exec.rpc.control.WorkEventBus - Fragment 1c53dd94-4277-9ab0-effe-18b1ab8989ac:0:0 manager is not found in the work bus.
2022-12-28 19:03:07,472 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.drill.exec.work.foreman.Foreman - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: cleaning up.
2022-12-28 19:03:07,472 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.exec.rpc.control.WorkEventBus - Removing fragment status listener for queryId 1c53dd94-4277-9ab0-effe-18b1ab8989ac.
2022-12-28 19:03:07,473 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] TRACE o.a.drill.exec.rpc.user.UserServer - Sending result to client with query_state: FAILED
query_id {
part1: 2041218684968999600
part2: -1153457303194072660
}
error {
error_id: "160a04a4-caff-42ae-ac68-06669b926853"
endpoint {
address: "DESKTOP-PHHB7LC"
user_port: 31010
control_port: 31011
data_port: 31012
version: "2.0.0-SNAPSHOT"
state: STARTUP
}
error_type: DATA_READ
message: "DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query. \n\nSql: INSERT INTO `public`.`t1` (`c1`, `c2`)\r\n(SELECT *\r\nFROM `test`.`t1`)\r\nFragment: 0:0\r\n\r\n[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010]"
exception {
exception_class: "com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException"
message: "Table \'public.t1\' doesn\'t exist"
stack_trace {
class_name: "..."
line_number: 0
method_name: "..."
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.Util"
file_name: "Util.java"
line_number: 403
method_name: "handleNewInstance"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.Util"
file_name: "Util.java"
line_number: 386
method_name: "getInstance"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.SQLError"
file_name: "SQLError.java"
line_number: 944
method_name: "createSQLException"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 3933
method_name: "checkErrorPacket"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 3869
method_name: "checkErrorPacket"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 2524
method_name: "sendCommand"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.MysqlIO"
file_name: "MysqlIO.java"
line_number: 2675
method_name: "sqlQueryDirect"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.ConnectionImpl"
file_name: "ConnectionImpl.java"
line_number: 2465
method_name: "execSQL"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.PreparedStatement"
file_name: "PreparedStatement.java"
line_number: 1915
method_name: "executeInternal"
is_native_method: false
}
stack_trace {
class_name: "com.mysql.jdbc.PreparedStatement"
file_name: "PreparedStatement.java"
line_number: 1254
method_name: "execute"
is_native_method: false
}
stack_trace {
class_name: "com.zaxxer.hikari.pool.ProxyPreparedStatement"
file_name: "ProxyPreparedStatement.java"
line_number: 44
method_name: "execute"
is_native_method: false
}
stack_trace {
class_name: "com.zaxxer.hikari.pool.HikariProxyPreparedStatement"
file_name: "HikariProxyPreparedStatement.java"
line_number: -1
method_name: "execute"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.store.jdbc.JdbcBatchReader"
file_name: "JdbcBatchReader.java"
line_number: 136
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework"
file_name: "ManagedScanFramework.java"
line_number: 211
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader"
file_name: "ShimBatchReader.java"
line_number: 76
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.ReaderState"
file_name: "ReaderState.java"
line_number: 224
method_name: "open"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec"
file_name: "ScanOperatorExec.java"
line_number: 286
method_name: "nextAction"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.scan.ScanOperatorExec"
file_name: "ScanOperatorExec.java"
line_number: 242
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver"
file_name: "OperatorDriver.java"
line_number: 201
method_name: "doNext"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver"
file_name: "OperatorDriver.java"
line_number: 179
method_name: "start"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorDriver"
file_name: "OperatorDriver.java"
line_number: 129
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch"
file_name: "OperatorRecordBatch.java"
line_number: 149
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.BaseRootExec"
file_name: "BaseRootExec.java"
line_number: 103
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot"
file_name: "ScreenCreator.java"
line_number: 81
method_name: "innerNext"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.physical.impl.BaseRootExec"
file_name: "BaseRootExec.java"
line_number: 93
method_name: "next"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor"
file_name: "FragmentExecutor.java"
line_number: 321
method_name: "lambda$run$0"
is_native_method: false
}
stack_trace {
class_name: "..."
line_number: 0
method_name: "..."
is_native_method: false
}
stack_trace {
class_name: "org.apache.hadoop.security.UserGroupInformation"
file_name: "UserGroupInformation.java"
line_number: 1762
method_name: "doAs"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.exec.work.fragment.FragmentExecutor"
file_name: "FragmentExecutor.java"
line_number: 310
method_name: "run"
is_native_method: false
}
stack_trace {
class_name: "org.apache.drill.common.SelfCleaningRunnable"
file_name: "SelfCleaningRunnable.java"
line_number: 38
method_name: "run"
is_native_method: false
}
stack_trace {
class_name: "..."
line_number: 0
method_name: "..."
is_native_method: false
}
}
}
2022-12-28 19:03:07,476 [Client-1] DEBUG o.a.d.e.rpc.user.QueryResultHandler - resultArrived: queryState: FAILED, queryId = 1c53dd94-4277-9ab0-effe-18b1ab8989ac
2022-12-28 19:03:07,476 [Client-1] TRACE o.a.d.e.rpc.user.QueryResultHandler - For QueryId [part1: 2041218684968999600
part2: -1153457303194072660
], retrieved results listener org.apache.drill.jdbc.impl.DrillCursor$ResultsListener@29741514
2022-12-28 19:03:07,476 [Client-1] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - Received query failure: 2 {}
org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.
Sql: INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`)
Fragment: 0:0
[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010]
at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:125)
at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:422)
at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:96)
at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:271)
at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:241)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:88)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:327)
at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:299)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:286)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919)
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:166)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:722)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496)
at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986)
at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
at java.lang.Thread.run(Thread.java:750)
Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist
at .......(:0)
at com.mysql.jdbc.Util.handleNewInstance(Util.java:403)
at com.mysql.jdbc.Util.getInstance(Util.java:386)
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254)
at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44)
at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java)
at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136)
at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211)
at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76)
at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129)
at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103)
at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93)
at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321)
at .......(:0)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762)
at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310)
at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38)
at .......(:0)
2022-12-28 19:03:07,476 [Client-1] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query listener closing.
2022-12-28 19:03:07,477 [Client-1] INFO o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query failed:
org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.
Sql: INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`)
Fragment: 0:0
[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010]
at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:125)
at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:422)
at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:96)
at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:271)
at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:241)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:88)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:327)
at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:299)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:286)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919)
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:166)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:722)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496)
at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986)
at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
at java.lang.Thread.run(Thread.java:750)
Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist
at .......(:0)
at com.mysql.jdbc.Util.handleNewInstance(Util.java:403)
at com.mysql.jdbc.Util.getInstance(Util.java:386)
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254)
at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44)
at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java)
at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136)
at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211)
at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76)
at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129)
at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103)
at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93)
at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321)
at .......(:0)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762)
at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310)
at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38)
at .......(:0)
2022-12-28 19:03:07,477 [main] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Dequeued query failure exception: {}.
org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: The JDBC storage plugin failed while trying setup the SQL query.
Sql: INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`)
Fragment: 0:0
[Error Id: 160a04a4-caff-42ae-ac68-06669b926853 on DESKTOP-PHHB7LC:31010]
at org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:125)
at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:422)
at org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:96)
at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:271)
at org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:241)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:88)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:327)
at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:299)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:286)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1410)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:919)
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:166)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:722)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496)
at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986)
at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
at java.lang.Thread.run(Thread.java:750)
Caused by: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'public.t1' doesn't exist
at .......(:0)
at com.mysql.jdbc.Util.handleNewInstance(Util.java:403)
at com.mysql.jdbc.Util.getInstance(Util.java:386)
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:944)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3933)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3869)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2524)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2675)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2465)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1915)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1254)
at com.zaxxer.hikari.pool.ProxyPreparedStatement.execute(ProxyPreparedStatement.java:44)
at com.zaxxer.hikari.pool.HikariProxyPreparedStatement.execute(HikariProxyPreparedStatement.java)
at org.apache.drill.exec.store.jdbc.JdbcBatchReader.open(JdbcBatchReader.java:136)
at org.apache.drill.exec.physical.impl.scan.framework.ManagedScanFramework.open(ManagedScanFramework.java:211)
at org.apache.drill.exec.physical.impl.scan.framework.ShimBatchReader.open(ShimBatchReader.java:76)
at org.apache.drill.exec.physical.impl.scan.ReaderState.open(ReaderState.java:224)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.nextAction(ScanOperatorExec.java:286)
at org.apache.drill.exec.physical.impl.scan.ScanOperatorExec.next(ScanOperatorExec.java:242)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.doNext(OperatorDriver.java:201)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.start(OperatorDriver.java:179)
at org.apache.drill.exec.physical.impl.protocol.OperatorDriver.next(OperatorDriver.java:129)
at org.apache.drill.exec.physical.impl.protocol.OperatorRecordBatch.next(OperatorRecordBatch.java:149)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:103)
at org.apache.drill.exec.physical.impl.ScreenCreator$ScreenRoot.innerNext(ScreenCreator.java:81)
at org.apache.drill.exec.physical.impl.BaseRootExec.next(BaseRootExec.java:93)
at org.apache.drill.exec.work.fragment.FragmentExecutor.lambda$run$0(FragmentExecutor.java:321)
at .......(:0)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762)
at org.apache.drill.exec.work.fragment.FragmentExecutor.run(FragmentExecutor.java:310)
at org.apache.drill.common.SelfCleaningRunnable.run(SelfCleaningRunnable.java:38)
at .......(:0)
2022-12-28 19:03:07,478 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.f.QueryStateProcessor - 1c53dd94-4277-9ab0-effe-18b1ab8989ac: State change requested FAILED --> COMPLETED
2022-12-28 19:03:07,478 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] WARN o.a.d.e.w.f.QueryStateProcessor - Dropping request to move to COMPLETED state as query is already at FAILED state (which is terminal).
2022-12-28 19:03:07,478 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:frag:0:0] DEBUG o.a.d.e.w.f.FragmentStatusReporter - Closing org.apache.drill.exec.work.fragment.FragmentStatusReporter@26ac4f8b
2022-12-28 19:03:07,480 [main] DEBUG o.a.d.j.i.DrillCursor$ResultsListener - [#2] Query listener closing.
2022-12-28 19:03:07,480 [main] DEBUG o.a.d.j.impl.DrillStatementRegistry - Removing from open-statements registry: org.apache.drill.jdbc.impl.DrillStatementImpl@71df3d2b
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[GitHub] [drill] weijunlu commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
weijunlu commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1366577503
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#130]
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#264: Apply rule [ExpandConversionRule] to [rel#130:AbstractConverter]
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#264 generated 0 successors.
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
}
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Apply rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] to [rel#130:AbstractConverter]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#140 via VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Full plan for rule input [rel#130:AbstractConverter]:
AbstractConverter(convention=[JDBC.pg], DrillDistributionTraitDef=[ANY([])], sort=[[]])
JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] produced [rel#140:VertexDrel]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271: Full plan for [rel#140:VertexDrel]:
VertexDrel
AbstractConverter(convention=[JDBC.pg], DrillDistributionTraitDef=[ANY([])], sort=[[]])
JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#141:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#123) in rel#119:RelSubset#0.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#271 generated 1 successors: [rel#140:VertexDrel.LOGICAL.ANY([]).[](input=AbstractConverter#130)]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#141:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset119 -> rel141; rel141 -> subset123;
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
}
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#134:VertexDrel,rel#121:JdbcTableModify]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#142 via JDBC_PREL_ConverterJDBC.mysql
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Full plan for rule input [rel#134:VertexDrel]:
VertexDrel
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Full plan for rule input [rel#121:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#142:JdbcIntermediatePrel]
2022-12-28 19:03:07,351 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281: Full plan for [rel#142:JdbcIntermediatePrel]:
JdbcIntermediatePrel
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#144:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]) in rel#114:RelSubset#2.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#144]
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#122) in rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#281 generated 1 successors: [rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#122)]
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#141:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#144:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142
rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset119 -> rel141; rel141 -> subset123;
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
subset114 -> rel144; rel144 -> subset143;
subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue];
}
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130]
rule [ExpandConversionRule] rels [#144]
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Apply rule [JDBC_PREL_ConverterJDBC.pg] to [rel#136:VertexDrel,rel#124:JdbcTableModify]
2022-12-28 19:03:07,352 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#145 via JDBC_PREL_ConverterJDBC.pg
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Full plan for rule input [rel#136:VertexDrel]:
VertexDrel
LogicalTableModify(subset=[rel#125:RelSubset#2.JDBC.pg.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Full plan for rule input [rel#124:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Rule [JDBC_PREL_ConverterJDBC.pg] produced [rel#145:JdbcIntermediatePrel]
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289: Full plan for [rel#145:JdbcIntermediatePrel]:
JdbcIntermediatePrel
LogicalTableModify(subset=[rel#125:RelSubset#2.JDBC.pg.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#125) in rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#289 generated 1 successors: [rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#125)]
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#141:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#144:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142
rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset119 -> rel141; rel141 -> subset123;
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
subset114 -> rel144; rel144 -> subset143;
subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue];
subset143 -> rel145; rel145 -> subset125;
}
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130]
rule [ExpandConversionRule] rels [#144]
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.pg] rels [#141,#130]
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Apply rule [JDBC_PREL_ConverterJDBC.pg] to [rel#141:VertexDrel,rel#130:AbstractConverter]
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#146 via JDBC_PREL_ConverterJDBC.pg
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Full plan for rule input [rel#141:VertexDrel]:
VertexDrel
JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Full plan for rule input [rel#130:AbstractConverter]:
AbstractConverter(convention=[JDBC.pg], DrillDistributionTraitDef=[ANY([])], sort=[[]])
JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,353 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Rule [JDBC_PREL_ConverterJDBC.pg] produced [rel#146:JdbcIntermediatePrel]
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296: Full plan for [rel#146:JdbcIntermediatePrel]:
JdbcIntermediatePrel
JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#123) in rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#296 generated 1 successors: [rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#123)]
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#141:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#144:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142
rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
rel146 [label="rel#146:JdbcIntermediatePrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset119 -> rel141; rel141 -> subset123;
subset127 -> rel146; rel146 -> subset123;
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
subset114 -> rel144; rel144 -> subset143;
subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue];
subset143 -> rel145; rel145 -> subset125;
}
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ExpandConversionRule] rels [#144]
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#144]
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#298: Apply rule [ExpandConversionRule] to [rel#144:AbstractConverter]
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#298 generated 0 successors.
2022-12-28 19:03:07,354 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,355 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#141:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#144:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142
rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
rel146 [label="rel#146:JdbcIntermediatePrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset119 -> rel141; rel141 -> subset123;
subset127 -> rel146; rel146 -> subset123;
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
subset114 -> rel144; rel144 -> subset143;
subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue];
subset143 -> rel145; rel145 -> subset125;
}
2022-12-28 19:03:07,355 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] INFO o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#141:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#146:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#123), rowcount=1.0E9, cumulative cost={inf}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#144:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[], best=rel#142
rel#142:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#145:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel141 [label="rel#141:VertexDrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
rel146 [label="rel#146:JdbcIntermediatePrel\ninput=RelSubset#123\nrows=1.0E9, cost={inf}",shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
rel144 [label="rel#144:AbstractConverter\ninput=RelSubset#143,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel142 [label="rel#142:JdbcIntermediatePrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel145 [label="rel#145:JdbcIntermediatePrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
subset143 [label="rel#143:RelSubset#2.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset119 -> rel141; rel141 -> subset123;
subset127 -> rel146; rel146 -> subset123;
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
subset114 -> rel144; rel144 -> subset143;
subset143 -> rel142[color=blue]; rel142 -> subset122[color=blue];
subset143 -> rel145; rel145 -> subset125;
}
2022-12-28 19:03:07,355 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for VolcanoPlanner
2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
ExpandConversionRule 5 256
JDBC_PREL_ConverterJDBC.mysql 3 1,987
VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 3 1,496
VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL) 2 722
JDBC_PREL_ConverterJDBC.pg 2 658
JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql) 1 7,641
DrillTableModifyRule 1 643
JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg) 1 566
ProjectRemoveRule 1 493
JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql) 1 257
JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg) 1 228
* Total 21 14,947
2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Cheapest plan:
VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 148
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 147
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Provenance:
rel#148:VertexDrel.LOGICAL.ANY([]).[](input=JdbcTableModify#147)
direct
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122)
call#239 rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)]
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true)
call#202 rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)]
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true)
no parent
rel#147:JdbcTableModify.JDBC.mysql.ANY([]).[](input=JdbcTableScan#89,table=[pg, public, t1],operation=INSERT,flattened=true)
direct
rel#121 (see above)
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
no parent
2022-12-28 19:03:07,356 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - VOLCANO:Logical Planning (no pruning or join). (34ms):
VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 148
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 147
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#153:HepRelVertex(rel#152:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#151)) = rel#152:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#151), rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#151:HepRelVertex(rel#150:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#149,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#150:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#149,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#149:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [JoinPushTransitivePredicatesRule]
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilterIntoJoinRule]
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilterRemoveIsNotDistinctFromRule]
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterAggregateTransposeRule]
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilterMergeRule]
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,357 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#152:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#151)
2022-12-28 19:03:07,358 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#150:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#149,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,358 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,358 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP:Transitive closure (1ms):
VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 152
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 150
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#158:HepRelVertex(rel#157:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#156)) = rel#157:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#156), rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#156:HepRelVertex(rel#155:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#154,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#155:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#154,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#154:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.ProjectOnScan]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterOnScan]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillFilterItemStarReWriterRule.FilterProjectScan]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Project]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DirPruneScanRule:Filter_On_Scan]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PruneScanRule:Filter_On_Project_Parquet]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PruneScanRule:Filter_On_Scan_Parquet]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushLimitToScanRule_LimitOnProject]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushLimitToScanRule_LimitOnScan]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [PartitionColumnScanPruningRule:Prune_On_Scan]
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#157:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#156)
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#155:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#154,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,360 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Partition Prune Planning (1ms):
VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 157
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 155
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#163:HepRelVertex(rel#162:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#161)) = rel#162:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#161), rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#161:HepRelVertex(rel#160:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#159,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#160:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#159,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#159:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [JoinToMultiJoinRule]
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [LoptOptimizeJoinRule]
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [ProjectRemoveRule]
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#162:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#161)
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#160:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#159,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,362 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:LOPT Join Planning (1ms):
VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 162
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 160
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#168:HepRelVertex(rel#167:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#166)) = rel#167:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#166), rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#166:HepRelVertex(rel#165:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#164,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#165:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#164,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#164:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushRowKeyJoinToScanRule_Join]
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#167:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#166)
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#165:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#164,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,364 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Convert Join to RowKeyJoin (1ms):
VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 167
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 165
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#173:HepRelVertex(rel#172:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#171)) = rel#172:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#171), rowcount=1.0E9, cumulative cost={2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#171:HepRelVertex(rel#170:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#169,table=[pg, public, t1],operation=INSERT,flattened=true)) = rel#170:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#169,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#169:HepRelVertex(rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])) = rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillConvertSumToSumZero]
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillConvertWindowSumToSumZero]
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#172:VertexDrel.LOGICAL.ANY([]).[](input=HepRelVertex#171)
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#170:JdbcTableModify.JDBC.mysql.ANY([]).[](input=HepRelVertex#169,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1])
2022-12-28 19:03:07,366 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Convert SUM to $SUM0 (2ms):
VertexDrel: rowcount = 1.0E9, cumulative cost = {2.000001E8 rows, 1.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 172
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.000001E8 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 170
JdbcTableScan(table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]] cost was {inf} now {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]) in rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]] cost was {inf} now {101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176]
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#179:RelSubset#5.LOGICAL.ANY([]).[]] cost was {inf} now {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,368 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177) in rel#179:RelSubset#5.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176]
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#181:RelSubset#6.LOGICAL.ANY([]).[]] cost was {inf} now {2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#179) in rel#181:RelSubset#6.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [Prel.ScreenPrule] rels [#180,#178]
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf}
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#3, type: RecordType(INTEGER c1, INTEGER c2)
rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#4, type: RecordType(BIGINT ROWCOUNT)
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#5, type: RecordType(BIGINT ROWCOUNT)
rel#179:RelSubset#5.LOGICAL.ANY([]).[], best=rel#178
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#6, type: RecordType(BIGINT ROWCOUNT)
rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#179), rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster3{
label="Set 3 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"]
}
subgraph cluster4{
label="Set 4 RecordType(BIGINT ROWCOUNT)";
rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"]
}
subgraph cluster5{
label="Set 5 RecordType(BIGINT ROWCOUNT)";
rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset179 [label="rel#179:RelSubset#5.LOGICAL.ANY([]).[]"]
}
subgraph cluster6{
label="Set 6 RecordType(BIGINT ROWCOUNT)";
rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#179\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"]
subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red]
}
root -> subset182;
subset175 -> rel89[color=blue];
subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue];
subset179 -> rel178[color=blue]; rel178 -> subset177[color=blue];
subset181 -> rel180[color=blue]; rel180 -> subset179[color=blue];
}
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176]
rule [Prel.ScreenPrule] rels [#180,#178]
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#89]
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#89:JdbcTableScan]
2022-12-28 19:03:07,369 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#183 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Full plan for rule input [rel#89:JdbcTableScan]:
JdbcTableScan(table=[[mysql, test, t1]])
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#183:VertexDrel]
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327: Full plan for [rel#183:VertexDrel]:
VertexDrel
JdbcTableScan(table=[[mysql, test, t1]])
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#185:RelSubset#3.LOGICAL.ANY([]).[]] cost was {inf} now {1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#184:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#175) in rel#185:RelSubset#3.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89]
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#327 generated 1 successors: [rel#183:VertexDrel.LOGICAL.ANY([]).[](input=JdbcTableScan#89)]
2022-12-28 19:03:07,370 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf}
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#3, type: RecordType(INTEGER c1, INTEGER c2)
rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184
rel#184:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#4, type: RecordType(BIGINT ROWCOUNT)
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#5, type: RecordType(BIGINT ROWCOUNT)
rel#179:RelSubset#5.LOGICAL.ANY([]).[], best=rel#178
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#6, type: RecordType(BIGINT ROWCOUNT)
rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#179), rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster3{
label="Set 3 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"]
subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"]
}
subgraph cluster4{
label="Set 4 RecordType(BIGINT ROWCOUNT)";
rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"]
}
subgraph cluster5{
label="Set 5 RecordType(BIGINT ROWCOUNT)";
rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset179 [label="rel#179:RelSubset#5.LOGICAL.ANY([]).[]"]
}
subgraph cluster6{
label="Set 6 RecordType(BIGINT ROWCOUNT)";
rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#179\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"]
subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red]
}
root -> subset182;
subset175 -> rel89[color=blue];
subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue];
subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue];
subset179 -> rel178[color=blue]; rel178 -> subset177[color=blue];
subset181 -> rel180[color=blue]; rel180 -> subset179[color=blue];
}
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176]
rule [Prel.ScreenPrule] rels [#180,#178]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#176]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#176:JdbcTableModify]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#186 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Full plan for rule input [rel#176:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#186:VertexDrel]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340: Full plan for [rel#186:VertexDrel]:
VertexDrel
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#187 is equivalent to rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177)
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register #179 rel#179:RelSubset#5.LOGICAL.ANY([]).[], and merge sets
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Merge set#5 into set#4
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#188:RelSubset#4.LOGICAL.ANY([]).[]] cost was {inf} now {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rename #180 from 'DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#179)' to 'DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#188)'
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#340 generated 1 successors: [rel#186:VertexDrel.LOGICAL.ANY([]).[](input=JdbcTableModify#176)]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf}
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#3, type: RecordType(INTEGER c1, INTEGER c2)
rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184
rel#184:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#4, type: RecordType(BIGINT ROWCOUNT)
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#6, type: RecordType(BIGINT ROWCOUNT)
rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#188), rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster3{
label="Set 3 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"]
subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"]
}
subgraph cluster4{
label="Set 4 RecordType(BIGINT ROWCOUNT)";
rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"]
subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"]
}
subgraph cluster6{
label="Set 6 RecordType(BIGINT ROWCOUNT)";
rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"]
subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red]
}
root -> subset182;
subset175 -> rel89[color=blue];
subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue];
subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue];
subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue];
subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue];
}
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176]
rule [Prel.ScreenPrule] rels [#180,#178]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#178,#176]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#178:VertexDrel,rel#176:JdbcTableModify]
2022-12-28 19:03:07,371 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#189 via JDBC_PREL_ConverterJDBC.mysql
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Full plan for rule input [rel#178:VertexDrel]:
VertexDrel
JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Full plan for rule input [rel#176:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#189:JdbcIntermediatePrel]
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353: Full plan for [rel#189:JdbcIntermediatePrel]:
JdbcIntermediatePrel
JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177) in rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#353 generated 1 successors: [rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177)]
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {inf}
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#3, type: RecordType(INTEGER c1, INTEGER c2)
rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184
rel#184:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#4, type: RecordType(BIGINT ROWCOUNT)
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189
rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#6, type: RecordType(BIGINT ROWCOUNT)
rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#188), rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=null
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster3{
label="Set 3 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"]
subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"]
}
subgraph cluster4{
label="Set 4 RecordType(BIGINT ROWCOUNT)";
rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"]
subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"]
subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster6{
label="Set 6 RecordType(BIGINT ROWCOUNT)";
rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"]
subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]",color=red]
}
root -> subset182;
subset175 -> rel89[color=blue];
subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue];
subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue];
subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue];
subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue];
subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue];
}
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [Prel.ScreenPrule] rels [#180,#178]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89]
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [Prel.ScreenPrule] rels [#180,#178]
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Apply rule [Prel.ScreenPrule] to [rel#180:DrillScreenRel,rel#178:VertexDrel]
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#191 via Prel.ScreenPrule
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Full plan for rule input [rel#180:DrillScreenRel]:
DrillScreenRel
VertexDrel(subset=[rel#188:RelSubset#4.LOGICAL.ANY([]).[]])
JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Full plan for rule input [rel#178:VertexDrel]:
VertexDrel
JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Rule [Prel.ScreenPrule] produced [rel#191:ScreenPrel]
2022-12-28 19:03:07,372 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357: Full plan for [rel#191:ScreenPrel]:
ScreenPrel
JdbcIntermediatePrel(subset=[rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]])
JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#191:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#190) in rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#357 generated 1 successors: [rel#191:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#190)]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#3, type: RecordType(INTEGER c1, INTEGER c2)
rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184
rel#184:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#4, type: RecordType(BIGINT ROWCOUNT)
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189
rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#6, type: RecordType(BIGINT ROWCOUNT)
rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#188), rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=rel#191
rel#191:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#190), rowcount=1.0E9, cumulative cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster3{
label="Set 3 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"]
subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"]
}
subgraph cluster4{
label="Set 4 RecordType(BIGINT ROWCOUNT)";
rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"]
subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"]
subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster6{
label="Set 6 RecordType(BIGINT ROWCOUNT)";
rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel191 [label="rel#191:ScreenPrel\ninput=RelSubset#190\nrows=1.0E9, cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"]
subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset182;
subset175 -> rel89[color=blue];
subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue];
subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue];
subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue];
subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue];
subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue];
subset182 -> rel191[color=blue]; rel191 -> subset190[color=blue];
}
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#184,#89]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#184:VertexDrel,rel#89:JdbcTableScan]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#192 via JDBC_PREL_ConverterJDBC.mysql
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Full plan for rule input [rel#184:VertexDrel]:
VertexDrel
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Full plan for rule input [rel#89:JdbcTableScan]:
JdbcTableScan(table=[[mysql, test, t1]])
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#192:JdbcIntermediatePrel]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380: Full plan for [rel#192:JdbcIntermediatePrel]:
JdbcIntermediatePrel
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#175) in rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#380 generated 1 successors: [rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#175)]
2022-12-28 19:03:07,373 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#3, type: RecordType(INTEGER c1, INTEGER c2)
rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184
rel#184:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[], best=rel#192
rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#4, type: RecordType(BIGINT ROWCOUNT)
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189
rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#6, type: RecordType(BIGINT ROWCOUNT)
rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#188), rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=rel#191
rel#191:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#190), rowcount=1.0E9, cumulative cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster3{
label="Set 3 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel192 [label="rel#192:JdbcIntermediatePrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"]
subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"]
subset193 [label="rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster4{
label="Set 4 RecordType(BIGINT ROWCOUNT)";
rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"]
subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"]
subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster6{
label="Set 6 RecordType(BIGINT ROWCOUNT)";
rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel191 [label="rel#191:ScreenPrel\ninput=RelSubset#190\nrows=1.0E9, cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"]
subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset182;
subset175 -> rel89[color=blue];
subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue];
subset193 -> rel192[color=blue]; rel192 -> subset175[color=blue];
subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue];
subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue];
subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue];
subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue];
subset182 -> rel191[color=blue]; rel191 -> subset190[color=blue];
}
2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] INFO o.apache.calcite.plan.RelOptPlanner - Root: rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#3, type: RecordType(INTEGER c1, INTEGER c2)
rel#175:RelSubset#3.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#185:RelSubset#3.LOGICAL.ANY([]).[], best=rel#184
rel#184:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[], best=rel#192
rel#192:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#175), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#4, type: RecordType(BIGINT ROWCOUNT)
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[], best=rel#176
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#188:RelSubset#4.LOGICAL.ANY([]).[], best=rel#178
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[], best=rel#189
rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177), rowcount=1.0E9, cumulative cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#6, type: RecordType(BIGINT ROWCOUNT)
rel#181:RelSubset#6.LOGICAL.ANY([]).[], best=rel#180
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#188), rowcount=1.0E9, cumulative cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[], best=rel#191
rel#191:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#190), rowcount=1.0E9, cumulative cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster3{
label="Set 3 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel184 [label="rel#184:VertexDrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel192 [label="rel#192:JdbcIntermediatePrel\ninput=RelSubset#175\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset175 [label="rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]"]
subset185 [label="rel#185:RelSubset#3.LOGICAL.ANY([]).[]"]
subset193 [label="rel#193:RelSubset#3.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster4{
label="Set 4 RecordType(BIGINT ROWCOUNT)";
rel176 [label="rel#176:JdbcTableModify\ninput=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel178 [label="rel#178:VertexDrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel189 [label="rel#189:JdbcIntermediatePrel\ninput=RelSubset#177\nrows=1.0E9, cost={1.000000101E9 rows, 1.000000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset177 [label="rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]"]
subset188 [label="rel#188:RelSubset#4.LOGICAL.ANY([]).[]"]
subset190 [label="rel#190:RelSubset#4.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster6{
label="Set 6 RecordType(BIGINT ROWCOUNT)";
rel180 [label="rel#180:DrillScreenRel\ninput=RelSubset#188\nrows=1.0E9, cost={2.00000101E8 rows, 2.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel191 [label="rel#191:ScreenPrel\ninput=RelSubset#190\nrows=1.0E9, cost={1.100000101E9 rows, 1.100000102E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset181 [label="rel#181:RelSubset#6.LOGICAL.ANY([]).[]"]
subset182 [label="rel#182:RelSubset#6.PHYSICAL.SINGLETON([]).[]"]
}
root -> subset182;
subset175 -> rel89[color=blue];
subset185 -> rel184[color=blue]; rel184 -> subset175[color=blue];
subset193 -> rel192[color=blue]; rel192 -> subset175[color=blue];
subset177 -> rel176[color=blue]; rel176 -> subset175[color=blue];
subset188 -> rel178[color=blue]; rel178 -> subset177[color=blue];
subset190 -> rel189[color=blue]; rel189 -> subset177[color=blue];
subset181 -> rel180[color=blue]; rel180 -> subset188[color=blue];
subset182 -> rel191[color=blue]; rel191 -> subset190[color=blue];
}
2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for VolcanoPlanner
2022-12-28 19:03:07,374 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
JDBC_PREL_ConverterJDBC.mysql 5 2,691
VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL) 5 2,468
ExpandConversionRule 5 256
VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL) 2 722
JDBC_PREL_ConverterJDBC.pg 2 658
JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql) 1 7,641
DrillTableModifyRule 1 643
JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg) 1 566
ProjectRemoveRule 1 493
Prel.ScreenPrule 1 486
JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql) 1 257
JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg) 1 228
* Total 26 17,109
2022-12-28 19:03:07,375 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Cheapest plan:
ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 196
JdbcIntermediatePrel: rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 195
JdbcTableModify(subset=[rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 176
JdbcTableScan(subset=[rel#175:RelSubset#3.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
2022-12-28 19:03:07,375 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Provenance:
rel#196:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=JdbcIntermediatePrel#195)
direct
rel#191:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#190)
call#357 rule [Prel.ScreenPrule]
rel#180:DrillScreenRel.LOGICAL.ANY([]).[](input=RelSubset#188)
no parent
rel#178:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#177)
no parent
rel#195:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177)
direct
rel#189:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#177)
call#353 rule [JDBC_PREL_ConverterJDBC.mysql]
rel#178 (see above)
rel#176:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#175,table=[pg, public, t1],operation=INSERT,flattened=true)
no parent
rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]
subset rel#177:RelSubset#4.JDBC.mysql.ANY([]).[]
rel#176 (see above)
2022-12-28 19:03:07,391 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'INSERT INTO'; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'public'; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c1'; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ','; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'c2'; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false
2022-12-28 19:03:07,392 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '('; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'SELECT'; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '*'; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'FROM'; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 'test'; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is '.'; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is 't1'; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ''; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.a.c.sql.pretty.SqlPrettyWriter - Token is ')'; result is false
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - VOLCANO:Physical Planning (27ms):
ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 200
JdbcPrel(sql=[INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) ]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197
2022-12-28 19:03:07,393 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Physical RelNode after Top and Rename Project inserting: :
ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 201
JdbcPrel(sql=[INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) ]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner -
Breadth-first from root: {
rel#206:HepRelVertex(rel#205:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=HepRelVertex#204)) = rel#205:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=HepRelVertex#204), rowcount=1.0E9, cumulative cost={1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#204:HepRelVertex(rel#197:JdbcPrel.PHYSICAL.SINGLETON([]).[](sql=INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) )) = rel#197:JdbcPrel.PHYSICAL.SINGLETON([]).[](sql=INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) ), rowcount=1.0E9, cumulative cost={1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
}
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Setting match order to BOTTOM_UP
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - collecting garbage
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilePushDownFilter:Filter_On_Project]
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [FilePushDownFilter:Filter_On_Scan]
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Applying rule set [DrillPushProjectIntoScanRule:physical]
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary - Rule Attempts Info for HepPlanner
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.c.p.A.rule_execution_summary -
Rules Attempts Time (us)
* Total 0 0
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#205:ScreenPrel.PHYSICAL.SINGLETON([]).[](input=HepRelVertex#204)
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - For final plan, using rel#197:JdbcPrel.PHYSICAL.SINGLETON([]).[](sql=INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) )
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - HEP_BOTTOM_UP:Physical Partition Prune Planning (0ms):
ScreenPrel: rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 205
JdbcPrel(sql=[INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) ]): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197
2022-12-28 19:03:07,394 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.a.d.e.p.s.h.DefaultSqlHandler - Drill Physical:
00-00 Screen : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.1E9 rows, 1.1E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 207
00-01 Jdbc(sql=[INSERT INTO `public`.`t1` (`c1`, `c2`)
(SELECT *
FROM `test`.`t1`) ]) : rowType = RecordType(BIGINT ROWCOUNT): rowcount = 1.0E9, cumulative cost = {1.0E9 rows, 1.0E9 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 197
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[GitHub] [drill] cgivre commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
cgivre commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1365555578
Can you please enable verbose logging and post the stack trace? Without that, we really can't debug this.
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[GitHub] [drill] weijunlu commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
weijunlu commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1366570466
I opened the trace log, included the calcite log.
Log configurations are as follows:
<logger name="org.apache.drill" additivity="false">
<level value="trace" />
<appender-ref ref="FILE" />
</logger>
<logger name="org.apache.calcite" additivity="false">
<level value="trace" />
<appender-ref ref="FILE" />
</logger>
<logger name="query.logger" additivity="false">
<level value="trace" />
<appender-ref ref="QUERY" />
<!-- <appender-ref ref="SOCKET" /> -->
</logger>
<!--
<logger name="org.apache.drill" additivity="false">
<level value="debug" />
<appender-ref ref="SOCKET" />
</logger>
-->
<root>
<level value="error" />
<appender-ref ref="STDOUT" />
</root>
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[GitHub] [drill] weijunlu commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
weijunlu commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1363564470
@cgivre yes, I used the master version.
apache drill> select version, commit_message, commit_time from sys.version;
+----------------+----------------------------------------------------------------------------------+---------------------------+
| version | commit_message | commit_time |
+----------------+----------------------------------------------------------------------------------+---------------------------+
| 2.0.0-SNAPSHOT | DRILL-8314: Add support for automatically retrying and disabling broken storage plugins (#2655) | 18.10.2022 @ 18:15:31 CST |
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[GitHub] [drill] cgivre commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
cgivre commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1362913019
What version of Drill are you using?
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[GitHub] [drill] weijunlu commented on issue #2723: Failed to execute an insert statement across the database
Posted by GitBox <gi...@apache.org>.
weijunlu commented on issue #2723:
URL: https://github.com/apache/drill/issues/2723#issuecomment-1366576817
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] rels [#112]
2022-12-28 19:03:07,330 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] to [rel#112:LogicalTableModify]
2022-12-28 19:03:07,337 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#121 via JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Full plan for rule input [rel#112:LogicalTableModify]:
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:NONE,out:JDBC.mysql)] produced [rel#121:JdbcTableModify]
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202: Full plan for [rel#121:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]] cost was {inf} now {101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#202 generated 1 successors: [rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true)]
2022-12-28 19:03:07,338 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue];
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
}
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
rule [ExpandConversionRule] rels [#115]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] rels [#112]
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] to [rel#112:LogicalTableModify]
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#124 via JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Full plan for rule input [rel#112:LogicalTableModify]:
LogicalTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#116:RelSubset#0.NONE.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:NONE,out:JDBC.pg)] produced [rel#124:JdbcTableModify]
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204: Full plan for [rel#124:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true) in rel#125:RelSubset#2.JDBC.pg.ANY([]).[]
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#204 generated 1 successors: [rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true)]
2022-12-28 19:03:07,339 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue];
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
}
2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ExpandConversionRule] rels [#115]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#115]
2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#206: Apply rule [ExpandConversionRule] to [rel#115:AbstractConverter]
2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#206 generated 0 successors.
2022-12-28 19:03:07,340 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue];
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
}
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#89]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#118:VertexDrel,rel#89:JdbcTableScan]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#126 via JDBC_PREL_ConverterJDBC.mysql
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Full plan for rule input [rel#118:VertexDrel]:
VertexDrel
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Full plan for rule input [rel#89:JdbcTableScan]:
JdbcTableScan(table=[[mysql, test, t1]])
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#126:JdbcIntermediatePrel]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223: Full plan for [rel#126:JdbcIntermediatePrel]:
JdbcIntermediatePrel
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]) in rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#128]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]) in rel#119:RelSubset#0.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#129]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]) in rel#123:RelSubset#0.JDBC.pg.ANY([]).[]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [ExpandConversionRule] rels [#130]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]] cost was {inf} now {1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109) in rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#223 generated 1 successors: [rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109)]
2022-12-28 19:03:07,341 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue];
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
}
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120]
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
rule [ExpandConversionRule] rels [#128]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] rels [#120]
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] to [rel#120:DrillTableModify]
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#131 via JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Full plan for rule input [rel#120:DrillTableModify]:
DrillTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.mysql)(in:LOGICAL,out:JDBC.mysql)] produced [rel#131:JdbcTableModify]
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230: Full plan for [rel#131:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#131 is equivalent to rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#230 generated 1 successors: [rel#131:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true)]
2022-12-28 19:03:07,342 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue];
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
}
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
rule [ExpandConversionRule] rels [#128]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] rels [#120]
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Apply rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] to [rel#120:DrillTableModify]
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#132 via JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Full plan for rule input [rel#120:DrillTableModify]:
DrillTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Rule [JdbcTableModificationRule(in:NONE,out:JDBC.pg)(in:LOGICAL,out:JDBC.pg)] produced [rel#132:JdbcTableModify]
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232: Full plan for [rel#132:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#132 is equivalent to rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true)
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#232 generated 1 successors: [rel#132:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true)]
2022-12-28 19:03:07,343 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
DrillTableModify(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E10 rows, 0.0 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}, id = 120
VertexDrel(subset=[rel#119:RelSubset#0.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 2.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 118
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#120
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120[color=blue]; rel120 -> subset119[color=blue];
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
}
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
rule [ExpandConversionRule] rels [#128]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#121]
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#121:JdbcTableModify]
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#133 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Full plan for rule input [rel#121:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#133:VertexDrel]
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239: Full plan for [rel#133:VertexDrel]:
VertexDrel
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Subset cost changed: subset [rel#114:RelSubset#2.LOGICAL.ANY([]).[]] cost was {1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory} now {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122) in rel#114:RelSubset#2.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#239 generated 1 successors: [rel#133:VertexDrel.LOGICAL.ANY([]).[](input=JdbcTableModify#121)]
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,345 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
}
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
rule [ExpandConversionRule] rels [#128]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#124]
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Apply rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] to [rel#124:JdbcTableModify]
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#135 via VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Full plan for rule input [rel#124:JdbcTableModify]:
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] produced [rel#135:VertexDrel]
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246: Full plan for [rel#135:VertexDrel]:
VertexDrel
JdbcTableModify(table=[[pg, public, t1]], operation=[INSERT], flattened=[true])
JdbcTableScan(subset=[rel#123:RelSubset#0.JDBC.pg.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125) in rel#114:RelSubset#2.LOGICAL.ANY([]).[]
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule-match queued: rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#246 generated 1 successors: [rel#135:VertexDrel.LOGICAL.ANY([]).[](input=JdbcTableModify#124)]
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,346 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
}
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ExpandConversionRule] rels [#128]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#128]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#248: Apply rule [ExpandConversionRule] to [rel#128:AbstractConverter]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#248 generated 0 successors.
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
}
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [JDBC_PREL_ConverterJDBC.mysql] rels [#118,#128]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Apply rule [JDBC_PREL_ConverterJDBC.mysql] to [rel#118:VertexDrel,rel#128:AbstractConverter]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#137 via JDBC_PREL_ConverterJDBC.mysql
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Full plan for rule input [rel#118:VertexDrel]:
VertexDrel
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Full plan for rule input [rel#128:AbstractConverter]:
AbstractConverter(convention=[JDBC.mysql], DrillDistributionTraitDef=[ANY([])], sort=[[]])
JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Rule [JDBC_PREL_ConverterJDBC.mysql] produced [rel#137:JdbcIntermediatePrel]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254: Full plan for [rel#137:JdbcIntermediatePrel]:
JdbcIntermediatePrel
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#137 is equivalent to rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109)
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#254 generated 1 successors: [rel#137:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109)]
2022-12-28 19:03:07,347 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
}
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] rels [#128]
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Apply rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] to [rel#128:AbstractConverter]
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Transform to: rel#138 via VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Full plan for rule input [rel#128:AbstractConverter]:
AbstractConverter(convention=[JDBC.mysql], DrillDistributionTraitDef=[ANY([])], sort=[[]])
JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Rule [VertexDrelConverterRuleJDBC.mysql(in:JDBC.mysql,out:LOGICAL)] produced [rel#138:VertexDrel]
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256: Full plan for [rel#138:VertexDrel]:
VertexDrel
AbstractConverter(convention=[JDBC.mysql], DrillDistributionTraitDef=[ANY([])], sort=[[]])
JdbcIntermediatePrel(subset=[rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]])
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]])
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Register: rel#139 is equivalent to rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109)
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#256 generated 1 successors: [rel#138:VertexDrel.LOGICAL.ANY([]).[](input=AbstractConverter#128)]
2022-12-28 19:03:07,348 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
}
2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Rule queue:
rule [ExpandConversionRule] rels [#129]
rule [ExpandConversionRule] rels [#130]
rule [VertexDrelConverterRuleJDBC.pg(in:JDBC.pg,out:LOGICAL)] rels [#130]
rule [JDBC_PREL_ConverterJDBC.mysql] rels [#134,#121]
rule [JDBC_PREL_ConverterJDBC.pg] rels [#136,#124]
2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Pop match: rule [ExpandConversionRule] rels [#129]
2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#258: Apply rule [ExpandConversionRule] to [rel#129:AbstractConverter]
2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - call#258 generated 0 successors.
2022-12-28 19:03:07,349 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] DEBUG o.apache.calcite.plan.RelOptPlanner - Best cost before rule match: {1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
2022-12-28 19:03:07,350 [1c53dd94-4277-9ab0-effe-18b1ab8989ac:foreman] TRACE o.apache.calcite.plan.RelOptPlanner - Root: rel#114:RelSubset#2.LOGICAL.ANY([]).[]
Original rel:
VertexDrel(subset=[rel#114:RelSubset#2.LOGICAL.ANY([]).[]]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 1.0E8 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 134
JdbcTableModify(subset=[rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]], table=[[pg, public, t1]], operation=[INSERT], flattened=[true]): rowcount = 1.0E9, cumulative cost = {1.0E8 rows, 0.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 121
JdbcTableScan(subset=[rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]], table=[[mysql, test, t1]]): rowcount = 1.0E9, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 89
Sets:
Set#0, type: RecordType(INTEGER c1, INTEGER c2)
rel#109:RelSubset#0.JDBC.mysql.ANY([]).[], best=rel#89
rel#89:JdbcTableScan.JDBC.mysql.ANY([]).[](table=[mysql, test, t1]), rowcount=1.0E9, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#128:AbstractConverter.JDBC.mysql.ANY([]).[](input=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#116:RelSubset#0.NONE.ANY([]).[], best=null
rel#119:RelSubset#0.LOGICAL.ANY([]).[], best=rel#118
rel#118:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#129:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#123:RelSubset#0.JDBC.pg.ANY([]).[], best=null
rel#130:AbstractConverter.JDBC.pg.ANY([]).[](input=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[], best=rel#126
rel#126:JdbcIntermediatePrel.PHYSICAL.SINGLETON([]).[](input=RelSubset#109), rowcount=1.0E9, cumulative cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}
Set#2, type: RecordType(BIGINT ROWCOUNT)
rel#113:RelSubset#2.NONE.ANY([]).[], best=null
rel#112:LogicalTableModify.NONE.ANY([]).[](input=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
rel#114:RelSubset#2.LOGICAL.ANY([]).[], best=rel#134
rel#115:AbstractConverter.LOGICAL.ANY([]).[](input=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]), rowcount=1.0E9, cumulative cost={inf}
rel#120:DrillTableModify.LOGICAL.ANY([]).[](input=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}
rel#134:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#122), rowcount=1.0E9, cumulative cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#136:VertexDrel.LOGICAL.ANY([]).[](input=RelSubset#125), rowcount=1.0E9, cumulative cost={inf}
rel#122:RelSubset#2.JDBC.mysql.ANY([]).[], best=rel#121
rel#121:JdbcTableModify.JDBC.mysql.ANY([]).[](input=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}
rel#125:RelSubset#2.JDBC.pg.ANY([]).[], best=null
rel#124:JdbcTableModify.JDBC.pg.ANY([]).[](input=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true), rowcount=1.0E9, cumulative cost={inf}
Graphviz:
digraph G {
root [style=filled,label="Root"];
subgraph cluster0{
label="Set 0 RecordType(INTEGER c1, INTEGER c2)";
rel89 [label="rel#89:JdbcTableScan\ntable=[mysql, test, t1]\nrows=1.0E9, cost={100.0 rows, 101.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel118 [label="rel#118:VertexDrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.000001E8 rows, 2.00000101E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel128 [label="rel#128:AbstractConverter\ninput=RelSubset#127,convention=JDBC.mysql,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel129 [label="rel#129:AbstractConverter\ninput=RelSubset#127,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel130 [label="rel#130:AbstractConverter\ninput=RelSubset#127,convention=JDBC.pg,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel126 [label="rel#126:JdbcIntermediatePrel\ninput=RelSubset#109\nrows=1.0E9, cost={1.0000001E9 rows, 1.000000101E9 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
subset109 [label="rel#109:RelSubset#0.JDBC.mysql.ANY([]).[]"]
subset116 [label="rel#116:RelSubset#0.NONE.ANY([]).[]",color=red]
subset119 [label="rel#119:RelSubset#0.LOGICAL.ANY([]).[]"]
subset123 [label="rel#123:RelSubset#0.JDBC.pg.ANY([]).[]",color=red]
subset127 [label="rel#127:RelSubset#0.PHYSICAL.SINGLETON([]).[]"]
}
subgraph cluster2{
label="Set 2 RecordType(BIGINT ROWCOUNT)";
rel112 [label="rel#112:LogicalTableModify\ninput=RelSubset#116,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel115 [label="rel#115:AbstractConverter\ninput=RelSubset#113,convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]\nrows=1.0E9, cost={inf}",shape=box]
rel120 [label="rel#120:DrillTableModify\ninput=RelSubset#119,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={1.01000001E10 rows, 2.00000101E8 cpu, 1.000000001E10 io, 0.0 network, 0.0 memory}",shape=box]
rel121 [label="rel#121:JdbcTableModify\ninput=RelSubset#109,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={101.0 rows, 102.0 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel124 [label="rel#124:JdbcTableModify\ninput=RelSubset#123,table=[pg, public, t1],operation=INSERT,flattened=true\nrows=1.0E9, cost={inf}",shape=box]
rel134 [label="rel#134:VertexDrel\ninput=RelSubset#122\nrows=1.0E9, cost={1.00000101E8 rows, 1.00000102E8 cpu, 0.0 io, 0.0 network, 0.0 memory}",color=blue,shape=box]
rel136 [label="rel#136:VertexDrel\ninput=RelSubset#125\nrows=1.0E9, cost={inf}",shape=box]
subset113 [label="rel#113:RelSubset#2.NONE.ANY([]).[]"]
subset114 [label="rel#114:RelSubset#2.LOGICAL.ANY([]).[]"]
subset122 [label="rel#122:RelSubset#2.JDBC.mysql.ANY([]).[]"]
subset125 [label="rel#125:RelSubset#2.JDBC.pg.ANY([]).[]"]
}
root -> subset114;
subset109 -> rel89[color=blue];
subset119 -> rel118[color=blue]; rel118 -> subset109[color=blue];
subset109 -> rel128; rel128 -> subset127;
subset119 -> rel129; rel129 -> subset127;
subset123 -> rel130; rel130 -> subset127;
subset127 -> rel126[color=blue]; rel126 -> subset109[color=blue];
subset113 -> rel112; rel112 -> subset116;
subset114 -> rel115; rel115 -> subset113;
subset114 -> rel120; rel120 -> subset119;
subset122 -> rel121[color=blue]; rel121 -> subset109[color=blue];
subset125 -> rel124; rel124 -> subset123;
subset114 -> rel134[color=blue]; rel134 -> subset122[color=blue];
subset114 -> rel136; rel136 -> subset125;
}
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