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https://issues.apache.org/jira/browse/CALCITE-2630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
pengzhiwei updated CALCITE-2630:
--------------------------------
Description:
Currently Calcite translate "IN" to "OR" expression when the count of IN's
operands less than "inSubQueryThreshold" or to "Join" when the operands count
greater than "inSubQueryThreshold" to get better performance.
However this translation to "JOIN" is so complex. Especially when the "IN"
expression located in the "select" or "join on condition".
For example:
{code:java}
select case when deptno in (1,2) then 0 else 1 end from emp
{code}
the logical plan generated as follow:
{code:java}
LogicalProject(EXPR$0=[CASE(CAST(CASE(=($9, 0), false, IS NOT NULL($13), true,
IS NULL($11), null, <($10, $9), null, false)):BOOLEAN NOT NULL, 0, 1)])
LogicalJoin(condition=[=($11, $12)], joinType=[left])
LogicalProject(EMPNO=[$0], ENAME=[$1], JOB=[$2], MGR=[$3], HIREDATE=[$4],
SAL=[$5], COMM=[$6], DEPTNO=[$7], SLACKER=[$8], $f0=[$9], $f1=[$10],
DEPTNO0=[$7])
LogicalJoin(condition=[true], joinType=[inner])
LogicalTableScan(table=[[CATALOG, SALES, EMP]])
LogicalAggregate(group=[{}], agg#0=[COUNT()], agg#1=[COUNT($0)])
LogicalProject(ROW_VALUE=[$0], $f1=[true])
LogicalValues(tuples=[[{ 1 }, { 2 }]])
LogicalAggregate(group=[{0}], agg#0=[MIN($1)])
LogicalProject(ROW_VALUE=[$0], $f1=[true])
LogicalValues(tuples=[[{ 1 }, { 2 }]])
{code}
The generated logical plan is so complex for such a simple sql！
I think we can treat "IN" as a function like "plus" and "minus".So there is no
translation on "IN" and just keep it as it is.This would be much clear in the
logical plan!
In the execute stage,We can provide a "InExpression":
{code:java}
InExpression(left,condition0,condition1,...){code}
We can put all the constant conditions to a "Set".In that way,the
computational complexity can reduce from O（n）to O(1).
It would be much clear and have a good performance.And we have implemented it
in our streaming-sql system.
was:
Currently Calcite translate "IN" to "OR" expression when the count of IN's
operands less than "inSubQueryThreshold" or to "Join" when the operands count
greater than "inSubQueryThreshold" to get better performance.
However this translation to "JOIN" is so complex. Especially when the "IN"
expression located in the "select" or "join on condition".
For example:
{code:java}
select case when deptno in (1,2) then 0 else 1 end from emp
{code}
the logical plan generated as follow:
{code:java}
LogicalProject(EXPR$0=[CASE(CAST(CASE(=($9, 0), false, IS NOT NULL($13), true,
IS NULL($11), null, <($10, $9), null, false)):BOOLEAN NOT NULL, 0, 1)])
LogicalJoin(condition=[=($11, $12)], joinType=[left])
LogicalProject(EMPNO=[$0], ENAME=[$1], JOB=[$2], MGR=[$3], HIREDATE=[$4],
SAL=[$5], COMM=[$6], DEPTNO=[$7], SLACKER=[$8], $f0=[$9], $f1=[$10],
DEPTNO0=[$7])
LogicalJoin(condition=[true], joinType=[inner])
LogicalTableScan(table=[[CATALOG, SALES, EMP]])
LogicalAggregate(group=[{}], agg#0=[COUNT()], agg#1=[COUNT($0)])
LogicalProject(ROW_VALUE=[$0], $f1=[true])
LogicalValues(tuples=[[{ 1 }, { 2 }]])
LogicalAggregate(group=[{0}], agg#0=[MIN($1)])
LogicalProject(ROW_VALUE=[$0], $f1=[true])
LogicalValues(tuples=[[{ 1 }, { 2 }]])
{code}
The generated logical plan is so complex for such a simple sql！
I think we can treat "IN" as a function like "plus" and "minus".So there is no
translation on "IN" and just keep it as it is.This would be much clear in the
logical plan!
In the execute stage,We can provide a "InExpression":
{code:java}
InExpression(left,condition0,condition1,...){code}
We can put all the constant conditions to a "Set".In that way,the
computational complexity can reduce from O（n）to O(1).
It would be much clear and have a good performance.And we have implemented it
in our streaming-sql system.
> Convert SqlInOperator to In-Expression
> --------------------------------------
>
> Key: CALCITE-2630
> URL: https://issues.apache.org/jira/browse/CALCITE-2630
> Project: Calcite
> Issue Type: Improvement
> Components: core
> Affects Versions: 1.17.0
> Reporter: pengzhiwei
> Assignee: Julian Hyde
> Priority: Major
>
> Currently Calcite translate "IN" to "OR" expression when the count of IN's
> operands less than "inSubQueryThreshold" or to "Join" when the operands
> count greater than "inSubQueryThreshold" to get better performance.
> However this translation to "JOIN" is so complex. Especially when the "IN"
> expression located in the "select" or "join on condition".
> For example:
> {code:java}
> select case when deptno in (1,2) then 0 else 1 end from emp
> {code}
> the logical plan generated as follow:
>
> {code:java}
> LogicalProject(EXPR$0=[CASE(CAST(CASE(=($9, 0), false, IS NOT NULL($13),
> true, IS NULL($11), null, <($10, $9), null, false)):BOOLEAN NOT NULL, 0, 1)])
> LogicalJoin(condition=[=($11, $12)], joinType=[left])
> LogicalProject(EMPNO=[$0], ENAME=[$1], JOB=[$2], MGR=[$3], HIREDATE=[$4],
> SAL=[$5], COMM=[$6], DEPTNO=[$7], SLACKER=[$8], $f0=[$9], $f1=[$10],
> DEPTNO0=[$7])
> LogicalJoin(condition=[true], joinType=[inner])
> LogicalTableScan(table=[[CATALOG, SALES, EMP]])
> LogicalAggregate(group=[{}], agg#0=[COUNT()], agg#1=[COUNT($0)])
> LogicalProject(ROW_VALUE=[$0], $f1=[true])
> LogicalValues(tuples=[[{ 1 }, { 2 }]])
> LogicalAggregate(group=[{0}], agg#0=[MIN($1)])
> LogicalProject(ROW_VALUE=[$0], $f1=[true])
> LogicalValues(tuples=[[{ 1 }, { 2 }]])
> {code}
> The generated logical plan is so complex for such a simple sql！
>
> I think we can treat "IN" as a function like "plus" and "minus".So there is
> no translation on "IN" and just keep it as it is.This would be much clear in
> the logical plan!
> In the execute stage,We can provide a "InExpression":
>
> {code:java}
> InExpression(left,condition0,condition1,...){code}
>
> We can put all the constant conditions to a "Set".In that way,the
> computational complexity can reduce from O（n）to O(1).
> It would be much clear and have a good performance.And we have implemented it
> in our streaming-sql system.
>
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