jingzhang created FLINK-6067:
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Summary: ProjectNode and FilterNode cannot merge in Batch TableAPI
Key: FLINK-6067
URL: https://issues.apache.org/jira/browse/FLINK-6067
Project: Flink
Issue Type: Bug
Components: Table API & SQL
Reporter: jingzhang
Assignee: jingzhang
{code}
val table1 = tEnv.scan( "tb1")
val table2 = tEnv.scan("tb2")
val result = table2
.where("d < 3")
.select('d *2, 'e, 'g.upperCase())
.unionAll(table1.select('a *2, 'b, 'c.upperCase()))
{code}
we run the above code in the BatchTableAPI, we would get the following
optimizedPlan
{code}
DataSetUnion(union=[_c0, e, _c2])
DataSetCalc(select=[*(d, 2) AS _c0, e, UPPER(g) AS _c2])
DataSetCalc(select=[d, e, g], where=[<(d, 3)])
BatchTableSourceScan(table=[[tb2]], fields=[d, e, g])
DataSetCalc(select=[*(a, 2) AS _c0, b, UPPER(c) AS _c2])
BatchTableSourceScan(table=[[tb1]], fields=[a, b, c])
{code}
However, we run the above code in the Stream TableAPI, we would get the
following optimizedPlan
{code}
DataStreamUnion(union=[_c0, e, _c2])
DataStreamCalc(select=[*(d, 2) AS _c0, e, UPPER(g) AS _c2], where=[<(d, 3)])
StreamTableSourceScan(table=[[test, db2, tb2]], fields=[d, e, g])
DataStreamCalc(select=[*(a, 2) AS _c0, b, UPPER(c) AS _c2])
StreamTableSourceScan(table=[[test, db1, tb1]], fields=[a, b, c])
{code}
we can find that in the batch tableAPI, the project and filterNode don't merge
into a single node. However, in the Stream tableAPI, these two nodes could
merge into one.
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