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https://issues.apache.org/jira/browse/FLINK-13869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jark Wu updated FLINK-13869:
----------------------------
Affects Version/s: (was: 1.9.0)
> Hive functions can not work in blink planner stream mode
> --------------------------------------------------------
>
> Key: FLINK-13869
> URL: https://issues.apache.org/jira/browse/FLINK-13869
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Hive, Table SQL / Planner
> Reporter: Terry Wang
> Assignee: Jingsong Lee
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.10.0
>
> Attachments: image-2019-08-27-15-36-57-662.png,
> image-2019-08-27-15-37-11-230.png
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> In flink, specifying the StreamTableEnvironment through the
> EnvironmentSetting using the blink planner, when using the UDAF in hive in
> the table API, the error is reported.
> The hive function should been make by correct constants and argTypes.
> Otherwise it will throw an exception. (See HiveAggSqlFunction)
> In this isTableAggregate, it just want to check the aggregate function class
> type, so the better way is get the function instead of make a function.
> {code:java}
> Caused by: java.lang.NullPointerException
> at java.util.Arrays.stream(Arrays.java:5004)
> at java.util.stream.Stream.of(Stream.java:1000)
> at
> org.apache.flink.table.types.utils.TypeConversions.fromLogicalToDataType(TypeConversions.java:67)
> at
> org.apache.flink.table.planner.functions.utils.HiveFunctionUtils.invokeSetArgs(HiveFunctionUtils.java:59)
> at
> org.apache.flink.table.planner.functions.utils.HiveAggSqlFunction.makeFunction(HiveAggSqlFunction.java:68)
> at
> org.apache.flink.table.planner.functions.utils.HiveAggSqlFunction.makeFunction(HiveAggSqlFunction.java:47)
> at
> org.apache.flink.table.planner.plan.utils.AggregateUtil$$anonfun$isTableAggregate$2.apply(AggregateUtil.scala:750)
> at
> org.apache.flink.table.planner.plan.utils.AggregateUtil$$anonfun$isTableAggregate$2.apply(AggregateUtil.scala:750)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.flink.table.planner.plan.utils.AggregateUtil$.isTableAggregate(AggregateUtil.scala:750)
> at
> org.apache.flink.table.planner.plan.utils.RelExplainUtil$.streamGroupAggregationToString(RelExplainUtil.scala:346)
> at
> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupAggregate.explainTerms(StreamExecGroupAggregate.scala:109)
> at
> org.apache.calcite.rel.AbstractRelNode.explain(AbstractRelNode.java:307)
> at
> org.apache.calcite.rel.AbstractRelNode.computeDigest(AbstractRelNode.java:388)
> at
> org.apache.calcite.rel.AbstractRelNode.recomputeDigest(AbstractRelNode.java:351)
> at
> org.apache.calcite.rel.AbstractRelNode.onRegister(AbstractRelNode.java:345)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1668)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:1939)
> at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.transformTo(VolcanoRuleCall.java:129)
> ... 60 more
> {code}
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