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https://issues.apache.org/jira/browse/FLINK-35976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17870971#comment-17870971
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Feng Jin commented on FLINK-35976:
----------------------------------

A similar issue.

[https://issues.apache.org/jira/projects/FLINK/issues/FLINK-27519|https://issues.apache.org/jira/projects/FLINK/issues/FLINK-35976]

> StreamPhysicalOverAggregate should handle column name confliction
> -----------------------------------------------------------------
>
>                 Key: FLINK-35976
>                 URL: https://issues.apache.org/jira/browse/FLINK-35976
>             Project: Flink
>          Issue Type: Bug
>          Components: Table SQL / Planner
>    Affects Versions: 1.20.0, 1.19.1
>            Reporter: lincoln lee
>            Assignee: lincoln lee
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 2.0.0
>
>
> Duplicate column name exception occurred when use a nested over aggregate 
> query,
> e.g., a repro case:
> {code}
> @Test
> def testNestedOverAgg(): Unit = {
> util.addTable(s"""
> |CREATE TEMPORARY TABLE src (
> | a STRING,
> | b STRING,
> | ts TIMESTAMP_LTZ(3),
> | watermark FOR ts as ts
> |) WITH (
> | 'connector' = 'values'
> |)
> |""".stripMargin)
> util.verifyExecPlan(s"""
> |SELECT *
> |FROM (
> | SELECT
> | *, count(*) OVER (PARTITION BY a ORDER BY ts) AS c2
> | FROM (
> | SELECT
> | *, count(*) OVER (PARTITION BY a,b ORDER BY ts) AS c1
> | FROM src
> | )
> |)
> |""".stripMargin)
> }
> {code}
>  
> {code}
> org.apache.flink.table.api.ValidationException: Field names must be unique. 
> Found duplicates: [w0$o0]
>  
> at 
> org.apache.flink.table.types.logical.RowType.validateFields(RowType.java:273)
> at org.apache.flink.table.types.logical.RowType.<init>(RowType.java:158)
> at org.apache.flink.table.types.logical.RowType.of(RowType.java:298)
> at org.apache.flink.table.types.logical.RowType.of(RowType.java:290)
> at 
> org.apache.flink.table.planner.calcite.FlinkTypeFactory$.toLogicalRowType(FlinkTypeFactory.scala:678)
> at 
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamPhysicalOverAggregate.translateToExecNode(StreamPhysicalOverAggregate.scala:57)
> at 
> org.apache.flink.table.planner.plan.nodes.physical.FlinkPhysicalRel.translateToExecNode(FlinkPhysicalRel.scala:53)
> at 
> org.apache.flink.table.planner.plan.nodes.physical.FlinkPhysicalRel.translateToExecNode$(FlinkPhysicalRel.scala:52)
> at 
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamPhysicalOverAggregateBase.translateToExecNode(StreamPhysicalOverAggregateBase.scala:35)
> at 
> org.apache.flink.table.planner.plan.nodes.exec.ExecNodeGraphGenerator.generate(ExecNodeGraphGenerator.java:74)
> at 
> org.apache.flink.table.planner.plan.nodes.exec.ExecNodeGraphGenerator.generate(ExecNodeGraphGenerator.java:54)
> at 
> org.apache.flink.table.planner.delegation.PlannerBase.translateToExecNodeGraph(PlannerBase.scala:407)
> at 
> org.apache.flink.table.planner.utils.TableTestUtilBase.assertPlanEquals(TableTestBase.scala:1076)
> at 
> org.apache.flink.table.planner.utils.TableTestUtilBase.doVerifyPlan(TableTestBase.scala:920)
> at 
> org.apache.flink.table.planner.utils.TableTestUtilBase.verifyExecPlan(TableTestBase.scala:675)
> at 
> org.apache.flink.table.planner.plan.stream.sql.agg.OverAggregateTest.testNestedOverAgg(OverAggregateTest.scala:460)
> {code}
>  
> This is a similar case In https://issues.apache.org/jira/browse/FLINK-22121, 
> but missed the fixing in streaming over agg scenario.
>  



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