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https://issues.apache.org/jira/browse/FLINK-30841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated FLINK-30841:
-----------------------------------
Labels: pull-request-available (was: )
> Incorrect calc merge in streaming
> ---------------------------------
>
> Key: FLINK-30841
> URL: https://issues.apache.org/jira/browse/FLINK-30841
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Affects Versions: 1.16.1
> Reporter: lincoln lee
> Assignee: lincoln lee
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.17.0
>
>
> currently we have a `FlinkCalcMergeRuleTest`, take one test as example:
> {code}
> @Test
> def testCalcMergeWithNonDeterministicExpr1(): Unit = {
> val sqlQuery = "SELECT a, a1 FROM (SELECT a, random_udf(a) AS a1 FROM
> MyTable) t WHERE a1 > 10"
> util.verifyRelPlan(sqlQuery)
> }
> {code}
> the current final optimized plan will be wrong in streaming:
> {code}
> Calc(select=[a, random_udf(b) AS a1], where=[(random_udf(b) > 10)])
> +- LegacyTableSourceScan(table=[[default_catalog, default_database, MyTable,
> source: [TestTableSource(a, b, c)]]], fields=[a, b, c])
> {code}
> the merged calc contains two `random_udf` call, users may encounter the
> result satisfied by where predicate (>10) but the selected column <= 10,
> that's counter-intuitive for users
> the expected plan for streaming is:
> {code}
> Calc(select=[a, a1], where=[(a1 > 10)])
> +- Calc(select=[a, random_udf(b) AS a1])
> +- LegacyTableSourceScan(table=[[default_catalog, default_database,
> MyTable, source: [TestTableSource(a, b, c)]]], fields=[a, b, c])
> {code}
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