You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@calcite.apache.org by "Danny Chen (Jira)" <ji...@apache.org> on 2019/10/12 03:50:00 UTC
[jira] [Created] (CALCITE-3404) Promote plan for
AggregateExpandDistinctAggregatesRule when all the agg expressions are
distinct and have same arguments
Danny Chen created CALCITE-3404:
-----------------------------------
Summary: Promote plan for AggregateExpandDistinctAggregatesRule when all the agg expressions are distinct and have same arguments
Key: CALCITE-3404
URL: https://issues.apache.org/jira/browse/CALCITE-3404
Project: Calcite
Issue Type: Improvement
Components: core
Affects Versions: 1.21.0
Reporter: Danny Chen
Assignee: Danny Chen
Fix For: 1.22.0
After CALCITE-3159, the distinct constraint for MAX/MIN/BIT_OR/BIT_AND are removed automatically, so if we have a query:
{code:sql}
select sum(distinct deptno), count(distinct deptno), max(deptno) from emp
{code}
Than plan has regression from
{code:xml}
LogicalAggregate(group=[{}], EXPR$0=[SUM($0)], EXPR$1=[COUNT($0)], EXPR$2=[MAX($0)])
LogicalAggregate(group=[{0}])
LogicalProject(DEPTNO=[$7])
LogicalTableScan(table=[[CATALOG, SALES, EMP]])
{code}
to
{code:xml}
LogicalAggregate(group=[{}], EXPR$0=[SUM($0) FILTER $2], EXPR$1=[COUNT($0) FILTER $2], EXPR$2=[MIN($1) FILTER $3])
LogicalProject(DEPTNO=[$0], EXPR$2=[$1], $g_0=[=($2, 0)], $g_1=[=($2, 1)])
LogicalAggregate(group=[{0}], groups=[[{0}, {}]], EXPR$2=[MAX($0)], $g=[GROUPING($0)])
LogicalProject(DEPTNO=[$7])
LogicalTableScan(table=[[CATALOG, SALES, EMP]])
{code}
The distinct trait actually can be reused.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)