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https://issues.apache.org/jira/browse/FLINK-5677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17328836#comment-17328836
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Flink Jira Bot commented on FLINK-5677:
---------------------------------------
This major issue is unassigned and itself and all of its Sub-Tasks have not
been updated for 30 days. So, it has been labeled "stale-major". If this ticket
is indeed "major", please either assign yourself or give an update. Afterwards,
please remove the label. In 7 days the issue will be deprioritized.
> Validation layer should check whether field can be used as grouping key
> -----------------------------------------------------------------------
>
> Key: FLINK-5677
> URL: https://issues.apache.org/jira/browse/FLINK-5677
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / API
> Reporter: Timo Walther
> Priority: Major
> Labels: stale-major
>
> When grouping on a GenericType (e.g. {{Object}}). The validation layer does
> no checking of types. The {{groupBy/keyBy}} of DataSet/DataStream API throws
> the exception. The validation layer should check this before.
> {code}
> public static class OuterPojo {
> public Object object = new Object();
> }
> tEnv.sql("SELECT testing.object FROM testing GROUP BY testing.object")
> {code}
> leads to
> {code}
> Exception in thread "main"
> org.apache.flink.api.common.InvalidProgramException: This type
> (GenericType<java.lang.Object>) cannot be used as key.
> at
> org.apache.flink.api.common.operators.Keys$ExpressionKeys.<init>(Keys.java:270)
> at
> org.apache.flink.api.common.operators.Keys$ExpressionKeys.<init>(Keys.java:223)
> at org.apache.flink.api.java.DataSet.groupBy(DataSet.java:692)
> at
> org.apache.flink.table.plan.nodes.dataset.DataSetAggregate.translateToPlan(DataSetAggregate.scala:134)
> at
> org.apache.flink.table.api.BatchTableEnvironment.translate(BatchTableEnvironment.scala:305)
> at
> org.apache.flink.table.api.BatchTableEnvironment.translate(BatchTableEnvironment.scala:289)
> at
> org.apache.flink.table.api.java.BatchTableEnvironment.toDataSet(BatchTableEnvironment.scala:146)
> {code}
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