[
https://issues.apache.org/jira/browse/FLINK-6067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
jingzhang updated FLINK-6067:
-----------------------------
Description:
{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=[[tb2]], fields=[d, e, g])
DataStreamCalc(select=[*(a, 2) AS _c0, b, UPPER(c) AS _c2])
StreamTableSourceScan(table=[[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.
was:
{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.
> 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=[[tb2]], fields=[d, e, g])
> DataStreamCalc(select=[*(a, 2) AS _c0, b, UPPER(c) AS _c2])
> StreamTableSourceScan(table=[[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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