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https://issues.apache.org/jira/browse/CALCITE-3160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16876680#comment-16876680
 ] 

Feng Zhu commented on CALCITE-3160:
-----------------------------------

I have also noticed such kind of issues.

(1)When sum(empid), AggregateToAggregateUnifyRule will be matched. However, it 
uses "!=" to compare Projects in query and target.
{code:java}
if (query.getInput() != target.getInput()) {
  return null;
}
{code}
But for the Projects matched in TrivialRule, the result still use that in query 
without replacing it into target. Consequently, in the next iteration, 
AggregateToAggregateUnifyRule cannot reuse the MV.
{code:java}
public UnifyResult apply(UnifyRuleCall call) {
  if (call.query.equals(call.target)) {
    return call.result(call.query);
  }
  return null;
}
{code}
(2)When sum(salary), ProjectToProjectUnifyRule will replace child Projects and 
AggregateOnProjectToAggregateUnifyRule can reuse the MV.

Therefore, I think we need to fix the logic in TrivialRule as 
*_call.result(call.result)_* or unify the condition as 
"_*!query.getInput.equals(target.getInput)*_". We also need to check other 
rules.

> Failed to materialize when the aggregate function uses group key
> ----------------------------------------------------------------
>
>                 Key: CALCITE-3160
>                 URL: https://issues.apache.org/jira/browse/CALCITE-3160
>             Project: Calcite
>          Issue Type: Bug
>            Reporter: Haisheng Yuan
>            Priority: Major
>
> Repro:
> {code:java}
> @Test public void testAggregateGroupSetsRollUp() {
>     checkMaterialize(
>         "select \"empid\", \"deptno\", count(*) as c, sum(\"empid\") as s 
> from \"emps\" "
>             + "group by \"empid\", \"deptno\"",
>         "select count(*) + 1 as c,  \"deptno\" from \"emps\" group by 
> cube(\"empid\",\"deptno\")",
>         HR_FKUK_MODEL,
>         CalciteAssert.checkResultContains(
>             "EnumerableCalc(expr#0..2=[{inputs}], expr#3=[1], "
>                 + "expr#4=[+($t2, $t3)], C=[$t4], deptno=[$t1])\n"
>                 + "  EnumerableAggregate(group=[{0, 1}], groups=[[{0, 1}, 
> {0}, {1}, {}]], agg#0=[$SUM0($2)])\n"
>                 + "    EnumerableTableScan(table=[[hr, m0]])"));
>   }
> {code}
> Note that if we change sum(\"empid\") to sum("salary"), it can materialize 
> successfully.



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