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Posted to issues@hive.apache.org by "Krisztian Kasa (Jira)" <ji...@apache.org> on 2020/01/31 14:48:00 UTC
[jira] [Updated] (HIVE-22808) HiveRelFieldTrimmer does not handle
HiveTableFunctionScan
[ https://issues.apache.org/jira/browse/HIVE-22808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Krisztian Kasa updated HIVE-22808:
----------------------------------
Attachment: HIVE-22808.1.patch
> HiveRelFieldTrimmer does not handle HiveTableFunctionScan
> ---------------------------------------------------------
>
> Key: HIVE-22808
> URL: https://issues.apache.org/jira/browse/HIVE-22808
> Project: Hive
> Issue Type: Bug
> Components: Query Planning
> Reporter: Krisztian Kasa
> Assignee: Krisztian Kasa
> Priority: Major
> Attachments: HIVE-22808.1.patch
>
>
> *Repro*
> {code:java}
> CREATE TABLE table_16 (
> timestamp_col_19 timestamp,
> timestamp_col_29 timestamp,
> int_col_27 int,
> int_col_39 int,
> boolean_col_18 boolean,
> varchar0045_col_23 varchar(45)
> );
> CREATE TABLE table_7 (
> int_col_10 int,
> bigint_col_3 bigint
> );
> CREATE TABLE table_10 (
> boolean_col_8 boolean,
> boolean_col_16 boolean,
> timestamp_col_5 timestamp,
> timestamp_col_15 timestamp,
> timestamp_col_30 timestamp,
> decimal3825_col_26 decimal(38, 25),
> smallint_col_9 smallint,
> int_col_18 int
> );
> explain cbo
> SELECT
> DISTINCT COALESCE(a4.timestamp_col_15, IF(a4.boolean_col_16, a4.timestamp_col_30, a4.timestamp_col_5)) AS timestamp_col
> FROM table_7 a3
> RIGHT JOIN table_10 a4
> WHERE (a3.bigint_col_3) >= (a4.int_col_18)
> INTERSECT ALL
> SELECT
> COALESCE(LEAST(
> COALESCE(a1.timestamp_col_19, CAST('2010-03-29 00:00:00' AS TIMESTAMP)),
> COALESCE(a1.timestamp_col_29, CAST('2014-08-16 00:00:00' AS TIMESTAMP))
> ),
> GREATEST(COALESCE(a1.timestamp_col_19, CAST('2013-07-01 00:00:00' AS TIMESTAMP)),
> COALESCE(a1.timestamp_col_29, CAST('2028-06-18 00:00:00' AS TIMESTAMP)))
> ) AS timestamp_col
> FROM table_16 a1
> GROUP BY COALESCE(LEAST(
> COALESCE(a1.timestamp_col_19, CAST('2010-03-29 00:00:00' AS TIMESTAMP)),
> COALESCE(a1.timestamp_col_29, CAST('2014-08-16 00:00:00' AS TIMESTAMP))
> ),
> GREATEST(
> COALESCE(a1.timestamp_col_19, CAST('2013-07-01 00:00:00' AS TIMESTAMP)),
> COALESCE(a1.timestamp_col_29, CAST('2028-06-18 00:00:00' AS TIMESTAMP)))
> );
> {code}
> CBO Plan contains unnecessary columns or all columns from a table in projections like:
> {code:java}
> HiveProject(int_col_10=[$0], bigint_col_3=[$1], BLOCK__OFFSET__INSIDE__FILE=[$2], INPUT__FILE__NAME=[$3], CAST=[CAST($4):RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid)])
> {code}
> *Cause*
> The plan contains a HiveTableFunctionScan operator:
> {code:java}
> HiveTableFunctionScan(invocation=[replicate_rows($0, $1)], rowType=[RecordType(BIGINT $f0, TIMESTAMP(9) $f1)])
> {code}
> HiveTableFunctionScan is not handled by HiveRelFieldTrimmer nor RelFieldTrimmer which suppose to remove unused columns in the CalcitePlanner.applyPreJoinOrderingTransforms(...) phase. The whole subtree rooted from HiveTableFunctionScan is ignored.
> Whole plan:
> {code:java}
> CBO PLAN:
> HiveProject($f0=[$1])
> HiveTableFunctionScan(invocation=[replicate_rows($0, $1)], rowType=[RecordType(BIGINT $f0, TIMESTAMP(9) $f1)])
> HiveProject($f0=[$2], $f1=[$0])
> HiveFilter(condition=[=($1, 2)])
> HiveAggregate(group=[{0}], agg#0=[count($1)], agg#1=[min($1)])
> HiveProject($f0=[$0], $f1=[$1])
> HiveUnion(all=[true])
> HiveProject($f0=[$0], $f1=[$1])
> HiveAggregate(group=[{0}], agg#0=[count()])
> HiveProject($f0=[$0])
> HiveAggregate(group=[{0}])
> HiveProject($f0=[CASE(IS NOT NULL($7), $7, if($5, $8, $6))])
> HiveJoin(condition=[>=($1, $13)], joinType=[inner], algorithm=[none], cost=[not available])
> HiveProject(int_col_10=[$0], bigint_col_3=[$1], BLOCK__OFFSET__INSIDE__FILE=[$2], INPUT__FILE__NAME=[$3], CAST=[CAST($4):RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid)])
> HiveFilter(condition=[IS NOT NULL($1)])
> HiveTableScan(table=[[default, table_7]], table:alias=[a3])
> HiveProject(boolean_col_16=[$0], timestamp_col_5=[$1], timestamp_col_15=[$2], timestamp_col_30=[$3], int_col_18=[$4], BLOCK__OFFSET__INSIDE__FILE=[$5], INPUT__FILE__NAME=[$6], ROW__ID=[$7], CAST=[CAST($4):BIGINT])
> HiveFilter(condition=[IS NOT NULL(CAST($4):BIGINT)])
> HiveTableScan(table=[[default, table_10]], table:alias=[a4])
> HiveProject($f0=[$0], $f1=[$1])
> HiveAggregate(group=[{0}], agg#0=[count()])
> HiveProject($f0=[$0])
> HiveAggregate(group=[{0}])
> HiveProject($f0=[CASE(IS NOT NULL(least(CASE(IS NOT NULL($0), $0, 2010-03-29 00:00:00:TIMESTAMP(9)), CASE(IS NOT NULL($1), $1, 2014-08-16 00:00:00:TIMESTAMP(9)))), least(CASE(IS NOT NULL($0), $0, 2010-03-29 00:00:00:TIMESTAMP(9)), CASE(IS NOT NULL($1), $1, 2014-08-16 00:00:00:TIMESTAMP(9))), greatest(CASE(IS NOT NULL($0), $0, 2013-07-01 00:00:00:TIMESTAMP(9)), CASE(IS NOT NULL($1), $1, 2028-06-18 00:00:00:TIMESTAMP(9))))])
> HiveTableScan(table=[[default, table_16]], table:alias=[a1])
> {code}
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