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Posted to issues@flink.apache.org by "Andy (Jira)" <ji...@apache.org> on 2021/03/21 13:14:00 UTC

[jira] [Closed] (FLINK-21893) A ValidationException will be thrown out if partition key of Rank is an expression result of input Node.

     [ https://issues.apache.org/jira/browse/FLINK-21893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Andy closed FLINK-21893.
------------------------
    Resolution: Fixed

> A ValidationException will be thrown out if partition key of Rank is an expression result of input Node.
> --------------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-21893
>                 URL: https://issues.apache.org/jira/browse/FLINK-21893
>             Project: Flink
>          Issue Type: Bug
>          Components: Table SQL / Planner
>            Reporter: Andy
>            Priority: Major
>         Attachments: image-2021-03-21-21-07-43-230.png
>
>
> A ValidationException will be thrown out if partition key of Rank is an expression result of input Node. e.g If run the following sql, A validationException will be thrown out.
>  
> {code:java}
> //代码占位符
> @Test
> def test(): Unit = {
>   val data = List(
>     (2001L, 2L),
>     (2002L, 3L)
>   )
>   val ds = failingDataSource(data).toTable(tEnv, 'video_id, 'cnt, 'proctime.proctime)
>   tEnv.registerTable("T", ds)
>   val sql =
>     """
>       |SELECT
>       |  video_id,
>       |  cnt,
>       |  rownum_2
>       |FROM
>       |(
>       |  SELECT
>       |    video_id,
>       |    cnt,
>       |    ROW_NUMBER() OVER (
>       |      ORDER BY cnt DESC
>       |    ) AS rownum_2
>       |    FROM
>       |    (
>       |      SELECT
>       |        video_id,
>       |        cnt,
>       |        ROW_NUMBER() OVER (
>       |          PARTITION BY bucket_id
>       |          ORDER BY cnt DESC
>       |        ) AS rownum_1
>       |        FROM
>       |        (
>       |           SELECT
>       |             video_id,
>       |             cnt,
>       |             MOD(video_id, 64) as bucket_id
>       |             FROM T
>       |         )
>       |    )
>       |    WHERE rownum_1 <= 1000
>       |)
>       |WHERE rownum_2 <= 1000
>       |""".stripMargin
>   val sink = new TestingRetractSink
>   tEnv.sqlQuery(sql).toRetractStream[Row].addSink(sink).setParallelism(1)
>   env.execute()
> }
> {code}
> Exception detail
> {code:java}
> //代码占位符
> org.apache.flink.table.api.ValidationException: Field names must be unique. Found duplicates: [$2]org.apache.flink.table.api.ValidationException: Field names must be unique. Found duplicates: [$2]
>  at org.apache.flink.table.types.logical.RowType.validateFields(RowType.java:277) at org.apache.flink.table.types.logical.RowType.<init>(RowType.java:158) at org.apache.flink.table.types.logical.RowType.<init>(RowType.java:162) at org.apache.flink.table.types.logical.RowType.of(RowType.java:294) at org.apache.flink.table.planner.calcite.FlinkTypeFactory$.toLogicalRowType(FlinkTypeFactory.scala:503) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecRank.translateToPlanInternal(StreamExecRank.scala:212) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecRank.translateToPlanInternal(StreamExecRank.scala:53) at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecRank.translateToPlan(StreamExecRank.scala:53) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:54) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:39) at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalcBase.translateToPlan(StreamExecCalcBase.scala:38) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:84) at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:44) at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58) {code}
>  
> When apply `FlinkLogicalRankRuleBase`  on `FlinkLogicalCalc`-`FlinkLogicalOverAggregate`,  a `FlinkLogicalRank` with following rowType will be get. Then a `StreamExecRank` with same rowType would be generated 
> !image-2021-03-21-21-07-43-230.png!



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