[jira] [Created] (FLINK-30841) Incorrect calc merge in streaming

["lincoln lee (Jira)" <ji...@apache.org>]

lincoln lee created FLINK-30841:
-----------------------------------

             Summary: 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
             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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