[
https://issues.apache.org/jira/browse/FLINK-23135?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zhengjiewen updated FLINK-23135:
--------------------------------
Description:
When I updated version from 1.12.1 to 1.12.4, the follow SQL was cannot run.
{code:sql}
//代码占位符
String retailSql = "SELECT\n" +
" customer_id,\n" +
" ware_virtual_category,\n" +
" min(pay_datetime) as pay_datetime\n" +
" FROM " +
"
`kudu`.`default_database`.`impala::cube_kudu.dwd_order_retail_order_pay` \n" +
" WHERE " +
" pay_date = TO_TIMESTAMP('" + partitionTime + "')" +
" AND " +
" freight_flag in (0) " +
" AND " +
" order_pay_type <> '3' " +
" GROUP BY \n" +
" customer_id," +
" ware_virtual_category";{code}
the error message is follow:
{code:java}
//代码占位符
Exception in thread "main" java.lang.RuntimeException: Error while applying
rule AggregateReduceGroupingRule, args
[rel#833:FlinkLogicalAggregate.LOGICAL.any.[](input=RelSubset#832,group={0,
1},pay_datetime=MIN($2))]Exception in thread "main" java.lang.RuntimeException:
Error while applying rule AggregateReduceGroupingRule, args
[rel#833:FlinkLogicalAggregate.LOGICAL.any.[](input=RelSubset#832,group={0,
1},pay_datetime=MIN($2))] at
org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:256)
at
org.apache.calcite.plan.volcano.IterativeRuleDriver.drive(IterativeRuleDriver.java:58)
at
org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:510)
at org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:312) 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.BatchCommonSubGraphBasedOptimizer.optimizeTree(BatchCommonSubGraphBasedOptimizer.scala:86)
at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer.org$apache$flink$table$planner$plan$optimize$BatchCommonSubGraphBasedOptimizer$$optimizeBlock(BatchCommonSubGraphBasedOptimizer.scala:57)
at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer$$anonfun$doOptimize$1.apply(BatchCommonSubGraphBasedOptimizer.scala:45)
at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer$$anonfun$doOptimize$1.apply(BatchCommonSubGraphBasedOptimizer.scala:45)
at scala.collection.immutable.List.foreach(List.scala:392) at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer.doOptimize(BatchCommonSubGraphBasedOptimizer.scala:45)
at
org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77)
at
org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:287)
at
org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:160)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1329)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:676)
at
org.apache.flink.table.api.internal.StatementSetImpl.execute(StatementSetImpl.java:98)
at
com.kad.cube.dws.day.DwsAllWareCategoryCustomerPayTimeDay.sinkToKudu(DwsAllWareCategoryCustomerPayTimeDay.java:54)
at
com.kad.cube.dws.day.DwsAllWareCategoryCustomerPayTimeDay.main(DwsAllWareCategoryCustomerPayTimeDay.java:45)Caused
by: java.lang.IllegalArgumentException at
org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:122) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:197)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroupsOfProject(FlinkRelMdUniqueGroups.scala:131)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:92)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroupsOfProject(FlinkRelMdUniqueGroups.scala:131)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:92)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.rules.logical.AggregateReduceGroupingRule.onMatch(AggregateReduceGroupingRule.scala:56)
at
org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:229)
... 29 more{code}
!image-2021-06-24-18-04-03-473.png!
!image-2021-06-24-18-20-54-752.png!
rel#208:FlinkLogicalTableSourceScan.LOGICAL.any.[](table=[kudu,
default_database, impala::cube_kudu.dwd_order_retail_order_pay,
filter=[equals(pay_date, 2021-06-23T00:00)], project=[customer_id,
order_source_id, order_sale_channel_id, pay_datetime,
order_pay_type]],fields=customer_id, order_source_id, order_sale_channel_id,
pay_datetime, order_pay_type)
Compare to version 1.12.1 :
!image-2021-06-24-18-13-16-056.png!
was:
When I updated version from 1.12.1 to 1.12.4, the follow SQL was cannot run.
{code:sql}
//代码占位符
String retailSql = "SELECT\n" +
" customer_id,\n" +
" ware_virtual_category,\n" +
" min(pay_datetime) as pay_datetime\n" +
" FROM " +
"
`kudu`.`default_database`.`impala::cube_kudu.dwd_order_retail_order_pay` \n" +
" WHERE " +
" pay_date = TO_TIMESTAMP('" + partitionTime + "')" +
" AND " +
" freight_flag in (0) " +
" AND " +
" order_pay_type <> '3' " +
" GROUP BY \n" +
" customer_id," +
" ware_virtual_category";{code}
the error message is follow:
{code:java}
//代码占位符
Exception in thread "main" java.lang.RuntimeException: Error while applying
rule AggregateReduceGroupingRule, args
[rel#833:FlinkLogicalAggregate.LOGICAL.any.[](input=RelSubset#832,group={0,
1},pay_datetime=MIN($2))]Exception in thread "main" java.lang.RuntimeException:
Error while applying rule AggregateReduceGroupingRule, args
[rel#833:FlinkLogicalAggregate.LOGICAL.any.[](input=RelSubset#832,group={0,
1},pay_datetime=MIN($2))] at
org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:256)
at
org.apache.calcite.plan.volcano.IterativeRuleDriver.drive(IterativeRuleDriver.java:58)
at
org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:510)
at org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:312) 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$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
at scala.collection.Iterator$class.foreach(Iterator.scala:891) at
scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at
scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at
scala.collection.AbstractIterable.foreach(Iterable.scala:54) at
scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157) at
scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104) at
org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.optimize(FlinkChainedProgram.scala:57)
at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer.optimizeTree(BatchCommonSubGraphBasedOptimizer.scala:86)
at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer.org$apache$flink$table$planner$plan$optimize$BatchCommonSubGraphBasedOptimizer$$optimizeBlock(BatchCommonSubGraphBasedOptimizer.scala:57)
at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer$$anonfun$doOptimize$1.apply(BatchCommonSubGraphBasedOptimizer.scala:45)
at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer$$anonfun$doOptimize$1.apply(BatchCommonSubGraphBasedOptimizer.scala:45)
at scala.collection.immutable.List.foreach(List.scala:392) at
org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer.doOptimize(BatchCommonSubGraphBasedOptimizer.scala:45)
at
org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77)
at
org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:287)
at
org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:160)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1329)
at
org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:676)
at
org.apache.flink.table.api.internal.StatementSetImpl.execute(StatementSetImpl.java:98)
at
com.kad.cube.dws.day.DwsAllWareCategoryCustomerPayTimeDay.sinkToKudu(DwsAllWareCategoryCustomerPayTimeDay.java:54)
at
com.kad.cube.dws.day.DwsAllWareCategoryCustomerPayTimeDay.main(DwsAllWareCategoryCustomerPayTimeDay.java:45)Caused
by: java.lang.IllegalArgumentException at
org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:122) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:197)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroupsOfProject(FlinkRelMdUniqueGroups.scala:131)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:92)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroupsOfProject(FlinkRelMdUniqueGroups.scala:131)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:92)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source) at
GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
at
org.apache.flink.table.planner.plan.rules.logical.AggregateReduceGroupingRule.onMatch(AggregateReduceGroupingRule.scala:56)
at
org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:229)
... 29 more{code}
!image-2021-06-24-18-04-03-473.png!
rel#208:FlinkLogicalTableSourceScan.LOGICAL.any.[](table=[kudu,
default_database, impala::cube_kudu.dwd_order_retail_order_pay,
filter=[equals(pay_date, 2021-06-23T00:00)], project=[customer_id,
order_source_id, order_sale_channel_id, pay_datetime,
order_pay_type]],fields=customer_id, order_source_id, order_sale_channel_id,
pay_datetime, order_pay_type)
Compare to version 1.12.1 :
!image-2021-06-24-18-13-16-056.png!
> Flink SQL Error while applying rule AggregateReduceGroupingRule
> ---------------------------------------------------------------
>
> Key: FLINK-23135
> URL: https://issues.apache.org/jira/browse/FLINK-23135
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Affects Versions: 1.12.4
> Reporter: zhengjiewen
> Priority: Critical
> Attachments: image-2021-06-24-18-04-03-473.png,
> image-2021-06-24-18-13-16-056.png, image-2021-06-24-18-20-54-752.png, yarn.txt
>
>
> When I updated version from 1.12.1 to 1.12.4, the follow SQL was cannot run.
> {code:sql}
> //代码占位符
> String retailSql = "SELECT\n" +
> " customer_id,\n" +
> " ware_virtual_category,\n" +
> " min(pay_datetime) as pay_datetime\n" +
> " FROM " +
> "
> `kudu`.`default_database`.`impala::cube_kudu.dwd_order_retail_order_pay` \n" +
> " WHERE " +
> " pay_date = TO_TIMESTAMP('" + partitionTime + "')" +
> " AND " +
> " freight_flag in (0) " +
> " AND " +
> " order_pay_type <> '3' " +
> " GROUP BY \n" +
> " customer_id," +
> " ware_virtual_category";{code}
>
> the error message is follow:
> {code:java}
> //代码占位符
> Exception in thread "main" java.lang.RuntimeException: Error while applying
> rule AggregateReduceGroupingRule, args
> [rel#833:FlinkLogicalAggregate.LOGICAL.any.[](input=RelSubset#832,group={0,
> 1},pay_datetime=MIN($2))]Exception in thread "main"
> java.lang.RuntimeException: Error while applying rule
> AggregateReduceGroupingRule, args
> [rel#833:FlinkLogicalAggregate.LOGICAL.any.[](input=RelSubset#832,group={0,
> 1},pay_datetime=MIN($2))] at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:256)
> at
> org.apache.calcite.plan.volcano.IterativeRuleDriver.drive(IterativeRuleDriver.java:58)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:510)
> at org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:312)
> 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.BatchCommonSubGraphBasedOptimizer.optimizeTree(BatchCommonSubGraphBasedOptimizer.scala:86)
> at
> org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer.org$apache$flink$table$planner$plan$optimize$BatchCommonSubGraphBasedOptimizer$$optimizeBlock(BatchCommonSubGraphBasedOptimizer.scala:57)
> at
> org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer$$anonfun$doOptimize$1.apply(BatchCommonSubGraphBasedOptimizer.scala:45)
> at
> org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer$$anonfun$doOptimize$1.apply(BatchCommonSubGraphBasedOptimizer.scala:45)
> at scala.collection.immutable.List.foreach(List.scala:392) at
> org.apache.flink.table.planner.plan.optimize.BatchCommonSubGraphBasedOptimizer.doOptimize(BatchCommonSubGraphBasedOptimizer.scala:45)
> at
> org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77)
> at
> org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:287)
> at
> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:160)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1329)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:676)
> at
> org.apache.flink.table.api.internal.StatementSetImpl.execute(StatementSetImpl.java:98)
> at
> com.kad.cube.dws.day.DwsAllWareCategoryCustomerPayTimeDay.sinkToKudu(DwsAllWareCategoryCustomerPayTimeDay.java:54)
> at
> com.kad.cube.dws.day.DwsAllWareCategoryCustomerPayTimeDay.main(DwsAllWareCategoryCustomerPayTimeDay.java:45)Caused
> by: java.lang.IllegalArgumentException at
> org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:122) at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:197)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroupsOfProject(FlinkRelMdUniqueGroups.scala:131)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:92)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroupsOfProject(FlinkRelMdUniqueGroups.scala:131)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:92)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
> at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMdUniqueGroups.getUniqueGroups(FlinkRelMdUniqueGroups.scala:411)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups_$(Unknown Source)
> at GeneratedMetadataHandler_UniqueGroups.getUniqueGroups(Unknown Source) at
> org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery.getUniqueGroups(FlinkRelMetadataQuery.java:196)
> at
> org.apache.flink.table.planner.plan.rules.logical.AggregateReduceGroupingRule.onMatch(AggregateReduceGroupingRule.scala:56)
> at
> org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:229)
> ... 29 more{code}
> !image-2021-06-24-18-04-03-473.png!
> !image-2021-06-24-18-20-54-752.png!
> rel#208:FlinkLogicalTableSourceScan.LOGICAL.any.[](table=[kudu,
> default_database, impala::cube_kudu.dwd_order_retail_order_pay,
> filter=[equals(pay_date, 2021-06-23T00:00)], project=[customer_id,
> order_source_id, order_sale_channel_id, pay_datetime,
> order_pay_type]],fields=customer_id, order_source_id, order_sale_channel_id,
> pay_datetime, order_pay_type)
>
> Compare to version 1.12.1 :
> !image-2021-06-24-18-13-16-056.png!
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