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https://issues.apache.org/jira/browse/FLINK-12249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887179#comment-16887179
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Hequn Cheng commented on FLINK-12249:
-------------------------------------
Hi [~dawidwys],
You are right. I think you have pointed out the most important, i.e., the
default SqlReturnTypeInference(ReturnTypes.AGG_SUM) in SqlSumAggFunction does
not fit window aggregate well(same for avg).
To solve this, we can create a new SqlReturnTypeInference in a new
SqlSumAggFunction(SqlWindowSumAggFunction). A rule can be used to replace the
SqlSumAggFunction to a SqlWindowSumAggFunction for window aggregate. After
this, there will be no check fails in LogicalWindowAggregateRule.
I have opened a PR and welcome to have your suggestions. Thank you very much.
Best, Hequn
> Type equivalence check fails for Window Aggregates
> --------------------------------------------------
>
> Key: FLINK-12249
> URL: https://issues.apache.org/jira/browse/FLINK-12249
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Legacy Planner, Tests
> Affects Versions: 1.9.0
> Reporter: Dawid Wysakowicz
> Assignee: Hequn Cheng
> Priority: Blocker
> Fix For: 1.9.0
>
>
> Creating Aggregate node fails in rules: {{LogicalWindowAggregateRule}} and
> {{ExtendedAggregateExtractProjectRule}} if the only grouping expression is a
> window and
> we compute aggregation on NON NULLABLE field.
> The root cause for that, is how return type inference strategies in calcite
> work and how we handle window aggregates. Take
> {{org.apache.calcite.sql.type.ReturnTypes#AGG_SUM}} as an example, based on
> {{groupCount}} it adjusts type nullability based on groupCount.
> Though we pass a false information as we strip down window aggregation from
> groupSet (in {{LogicalWindowAggregateRule}}).
> One can reproduce this problem also with a unit test like this:
> {code}
> @Test
> def testTumbleFunction2() = {
>
> val innerQuery =
> """
> |SELECT
> | CASE a WHEN 1 THEN 1 ELSE 99 END AS correct,
> | rowtime
> |FROM MyTable
> """.stripMargin
> val sql =
> "SELECT " +
> " SUM(correct) as cnt, " +
> " TUMBLE_START(rowtime, INTERVAL '15' MINUTE) as wStart " +
> s"FROM ($innerQuery) " +
> "GROUP BY TUMBLE(rowtime, INTERVAL '15' MINUTE)"
> val expected = ""
> streamUtil.verifySql(sql, expected)
> }
> {code}
> This causes e2e tests to fail:
> https://travis-ci.org/apache/flink/builds/521183361?utm_source=slack&utm_medium=notificationhttps://travis-ci.org/apache/flink/builds/521183361?utm_source=slack&utm_medium=notification
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