Hi, Is there any update for this issue? I have had the same problem just like Karl's. After I remove query like "select collect(data) ..." from one of the joined tables, the sql can be executed correctly without throwing any NPE.
Best regards, Tony Wei Xingcan Cui <xingc...@gmail.com> 於 2019年2月27日 週三 下午12:53寫道： > Hi Karl, > > I think this is a bug and created FLINK-11769 > <https://issues.apache.org/jira/browse/FLINK-11769> to track it. > > Best, > Xingcan > > On Feb 26, 2019, at 2:02 PM, Karl Jin <karl....@gmail.com> wrote: > > I removed the multiset<map<string,string>> field and the join worked fine. > The field was created from a Kafka source through a query that looks like > "select collect(data) as i_data from ... group by pk" > > Do you think this is a bug or is this something I can get around using > some configuration? > > On Tue, Feb 26, 2019 at 1:20 AM Xingcan Cui <xingc...@gmail.com> wrote: > >> Yes. Please check that. If it's the nested type's problem, this might be >> a bug. >> >> On Mon, Feb 25, 2019, 21:50 Karl Jin <karl....@gmail.com> wrote: >> >>> Do you think something funky might be happening with Map/Multiset types? >>> If so how do I deal with it (I think I can verify by removing those columns >>> and retry?)? >>> >>> On Mon, Feb 25, 2019 at 6:28 PM Karl Jin <karl....@gmail.com> wrote: >>> >>>> Thanks for checking in quickly, >>>> >>>> Below is what I got on printSchema on the two tables (left joining the >>>> second one to the first one on uc_pk = i_uc_pk). rowtime in both are >>>> extracted from the string field uc_update_ts >>>> >>>> root >>>> |-- uc_pk: String >>>> |-- uc_update_ts: String >>>> |-- rowtime: TimeIndicatorTypeInfo(rowtime) >>>> |-- uc_version: String >>>> |-- uc_type: String >>>> |-- data_parsed: Map<String, String> >>>> >>>> root >>>> |-- i_uc_pk: String >>>> |-- i_uc_update_ts: TimeIndicatorTypeInfo(rowtime) >>>> |-- image_count: Long >>>> |-- i_data: Multiset<Map<String, String>> >>>> >>>> On Mon, Feb 25, 2019 at 4:54 PM Xingcan Cui <xingc...@gmail.com> wrote: >>>> >>>>> Hi Karl, >>>>> >>>>> It seems that some field types of your inputs were not properly >>>>> extracted. >>>>> Could you share the result of `printSchema()` for your input tables? >>>>> >>>>> Best, >>>>> Xingcan >>>>> >>>>> > On Feb 25, 2019, at 4:35 PM, Karl Jin <karl....@gmail.com> wrote: >>>>> > >>>>> > Hello, >>>>> > >>>>> > First time posting, so please let me know if the formatting isn't >>>>> correct, etc. >>>>> > >>>>> > I'm trying to left join two Kafka sources, running 1.7.2 locally, >>>>> but getting the below exception. Looks like some sort of query >>>>> optimization >>>>> process but I'm not sure where to start investigating/debugging. I see >>>>> things are marked as NONE in the object so that's a bit of a flag to me, >>>>> although I don't know for sure. Any pointer would be much appreciated: >>>>> > >>>>> > Exception in thread "main" java.lang.RuntimeException: Error while >>>>> applying rule FlinkLogicalJoinConverter, args >>>>> [rel#94:LogicalJoin.NONE(left=rel#84:Subset#0.NONE,right=rel#93:Subset#5.NONE,condition==($0, >>>>> $6),joinType=left)] >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:236) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:646) >>>>> > at >>>>> org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:339) >>>>> > at >>>>> org.apache.flink.table.api.TableEnvironment.runVolcanoPlanner(TableEnvironment.scala:373) >>>>> > at >>>>> org.apache.flink.table.api.TableEnvironment.optimizeLogicalPlan(TableEnvironment.scala:292) >>>>> > at >>>>> org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:812) >>>>> > at >>>>> org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:860) >>>>> > at >>>>> org.apache.flink.table.api.scala.StreamTableEnvironment.toRetractStream(StreamTableEnvironment.scala:205) >>>>> > at >>>>> org.apache.flink.table.api.scala.StreamTableEnvironment.toRetractStream(StreamTableEnvironment.scala:185) >>>>> > at >>>>> org.apache.flink.table.api.scala.TableConversions.toRetractStream(TableConversions.scala:143) >>>>> > ... >>>>> > Caused by: java.lang.RuntimeException: Error occurred while applying >>>>> rule FlinkLogicalJoinConverter >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoRuleCall.transformTo(VolcanoRuleCall.java:149) >>>>> > at >>>>> org.apache.calcite.plan.RelOptRuleCall.transformTo(RelOptRuleCall.java:234) >>>>> > at >>>>> org.apache.calcite.rel.convert.ConverterRule.onMatch(ConverterRule.java:141) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:212) >>>>> > ... 11 more >>>>> > Caused by: java.lang.NullPointerException >>>>> > at >>>>> org.apache.flink.table.plan.nodes.FlinkRelNode$class.estimateDataTypeSize(FlinkRelNode.scala:84) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.logical.FlinkLogicalJoinBase.estimateDataTypeSize(FlinkLogicalJoinBase.scala:29) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.FlinkRelNode$class.estimateDataTypeSize(FlinkRelNode.scala:104) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.logical.FlinkLogicalJoinBase.estimateDataTypeSize(FlinkLogicalJoinBase.scala:29) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.FlinkRelNode$$anonfun$estimateRowSize$2.apply(FlinkRelNode.scala:80) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.FlinkRelNode$$anonfun$estimateRowSize$2.apply(FlinkRelNode.scala:79) >>>>> > at >>>>> scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57) >>>>> > at >>>>> scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66) >>>>> > at >>>>> scala.collection.mutable.ArrayBuffer.foldLeft(ArrayBuffer.scala:48) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.FlinkRelNode$class.estimateRowSize(FlinkRelNode.scala:79) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.logical.FlinkLogicalJoinBase.estimateRowSize(FlinkLogicalJoinBase.scala:29) >>>>> > at >>>>> org.apache.flink.table.plan.nodes.logical.FlinkLogicalJoinBase.computeSelfCost(FlinkLogicalJoinBase.scala:51) >>>>> > at >>>>> org.apache.calcite.rel.metadata.RelMdPercentageOriginalRows.getNonCumulativeCost(RelMdPercentageOriginalRows.java:162) >>>>> > 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:953) >>>>> > at >>>>> org.apache.calcite.plan.volcano.RelSubset.propagateCostImprovements0(RelSubset.java:339) >>>>> > at >>>>> org.apache.calcite.plan.volcano.RelSubset.propagateCostImprovements(RelSubset.java:322) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoPlanner.addRelToSet(VolcanoPlanner.java:1643) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1579) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:859) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:879) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:1755) >>>>> > at >>>>> org.apache.calcite.plan.volcano.VolcanoRuleCall.transformTo(VolcanoRuleCall.java:135) >>>>> >>>>> >
