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https://issues.apache.org/jira/browse/FLINK-16936?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17073417#comment-17073417
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Jeff Zhang commented on FLINK-16936:
------------------------------------
[~godfreyhe] [~lzljs3620320] [~danny0405] [~tiwalter]
> TablEnv creation and planner execution must be in the same thread
> ------------------------------------------------------------------
>
> Key: FLINK-16936
> URL: https://issues.apache.org/jira/browse/FLINK-16936
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Affects Versions: 1.10.0
> Reporter: Jeff Zhang
> Priority: Major
>
> I hit this issue in zeppelin. Let me first describe the thread mode of
> zeppelin. In Zeppelin there're 3 threads. scalashell-thread is thread where
> tableenv created, python thread is the python process thread,
> python-javagateway-thread is the thread handling request from python
> thread(same as pyflink).
> Now if I use following table api, I will get the following exception.
> {code:java}
> st_env.from_path("cdn_access_log")\
> .select("uuid, "
> "ip_to_province(client_ip) as province, "
> "response_size, request_time")\
> .group_by("province")\
> .select(
> "province, count(uuid) as access_count, "
> "sum(response_size) as total_download, "
> "sum(response_size) * 1.0 / sum(request_time) as download_speed") \
> .insert_into("cdn_access_statistic") {code}
> Errors I get
> {code:java}
> Py4JJavaError: An error occurred while calling o60.insertInto.
> : java.lang.RuntimeException: Error while applying rule
> FlinkLogicalAggregateStreamConverter(in:NONE,out:LOGICAL), args
> [rel#107:LogicalAggregate.NONE.any.None:
> 0.false.UNKNOWN(input=RelSubset#106,group={1},EXPR$0=COUNT($0),EXPR$1=SUM($2),EXPR$2=SUM($3))]
> at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:235)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:631)
> at org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:327)
> at
> org.apache.flink.table.planner.plan.optimize.program.FlinkVolcanoProgram.optimize(FlinkVolcanoProgram.scala:64)
> at
> org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:62)
> at
> org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:58)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at
> scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
> at scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104)
> at
> org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.optimize(FlinkChainedProgram.scala:57)
> at
> org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.optimizeTree(StreamCommonSubGraphBasedOptimizer.scala:170)
> at
> org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.doOptimize(StreamCommonSubGraphBasedOptimizer.scala:90)
> at
> org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77)
> at
> org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:248)
> at
> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:151)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:682)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.insertIntoInternal(TableEnvironmentImpl.java:355)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.insertInto(TableEnvironmentImpl.java:334)
> at
> org.apache.flink.table.api.internal.TableImpl.insertInto(TableImpl.java:411)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:238)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.RuntimeException: Error occurred while applying rule
> FlinkLogicalAggregateStreamConverter(in:NONE,out:LOGICAL)
> at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.transformTo(VolcanoRuleCall.java:143)
> at
> org.apache.calcite.plan.RelOptRuleCall.transformTo(RelOptRuleCall.java:236)
> at
> org.apache.calcite.rel.convert.ConverterRule.onMatch(ConverterRule.java:146)
> at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:208)
> ... 34 more
> Caused by: java.lang.NullPointerException
> at scala.Predef$.Double2double(Predef.scala:365)
> at
> org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalAggregate.computeSelfCost(FlinkLogicalAggregate.scala:78)
> at
> org.apache.calcite.rel.metadata.RelMdPercentageOriginalRows.getNonCumulativeCost(RelMdPercentageOriginalRows.java:174)
> at
> GeneratedMetadataHandler_NonCumulativeCost.getNonCumulativeCost_$(Unknown
> Source)
> at GeneratedMetadataHandler_NonCumulativeCost.getNonCumulativeCost(Unknown
> Source)
> at
> org.apache.calcite.rel.metadata.RelMetadataQuery.getNonCumulativeCost(RelMetadataQuery.java:301)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.getCost(VolcanoPlanner.java:936)
> at
> org.apache.calcite.plan.volcano.RelSubset.propagateCostImprovements0(RelSubset.java:347)
> at
> org.apache.calcite.plan.volcano.RelSubset.propagateCostImprovements(RelSubset.java:330)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.addRelToSet(VolcanoPlanner.java:1828)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1764)
> 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)
> ... 37 more
> (<class 'py4j.protocol.Py4JJavaError'>, Py4JJavaError('An error occurred
> while calling o60.insertInto.\n', JavaObject id=o61), <traceback object at
> 0x10fa9efc8>) {code}
> But it works for flink sql. After some investigation, I find the root cause
> is that in flink sql,
> this following code will be called in `SqlToRelConverter.java`
> {code}
> RelMetadataQuery.THREAD_PROVIDERS.set(
> JaninoRelMetadataProvider.of(cluster.getMetadataProvider()));
> {code}
> But in table api, no such code is called. In that case RelMetadataProvider
> wont' be set properly if tablenv creation and planner execution in different
> thread.
> It still works if tableenv creation and planner execution are in the same
> thread, because tableenv creation will set RelMetadataProvider properly in
> FlinkRelOptClusterFactory
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