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Posted to dev@flink.apache.org by "Yuhao Zhao (Jira)" <ji...@apache.org> on 2020/06/22 12:43:00 UTC
[jira] [Created] (FLINK-18409) The FilterJoinRule.FILTER_ON_JOIN
optimizer rule cause 'Join With a Temporal Table' not working properly
Yuhao Zhao created FLINK-18409:
----------------------------------
Summary: The FilterJoinRule.FILTER_ON_JOIN optimizer rule cause 'Join With a Temporal Table' not working properly
Key: FLINK-18409
URL: https://issues.apache.org/jira/browse/FLINK-18409
Project: Flink
Issue Type: Bug
Components: Table SQL / Planner
Affects Versions: 1.10.0
Reporter: Yuhao Zhao
When use 'left join xxx for system_time as of xxx ' ，the FilterJoinRule.FILTER_ON_JOIN optimizer rule cause that the eval function of RedisLookupTableSource don't match problem and some other problem。
* Flink Version:1.10
* Blink Planner
AsyncTableFunction implement：
{code:java}
public class RedisAsyncLookupFunction extends AsyncTableFunction<Row> {
// key is the redis key
public void eval(CompletableFuture<Collection<Row>> resultFutre, String key) {
.....
}
}
{code}
{color:#de350b}Flink SQL-01:{color}
{code:java}
// code placeholder
select
t1.col_key as col_key,
t1.col_val as col_val,
t2.PID as pid,
t2.DD_APDATE,
t2.SID,
t2.TRX_AMOUNT
from coll_source_1 as t1
left join redis_dimension_1 FOR SYSTEM_TIME AS OF t1.proctime as t2
on t1.col_key = t2.PID where t2.SID = '2'
{code}
{color:#de350b}Error-01{color}
{code:java}
Expected: eval(java.util.concurrent.CompletableFuture, java.lang.String, java.lang.String)
Actual: eval(java.util.concurrent.CompletableFuture, java.lang.String)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin$$anonfun$13.apply(CommonLookupJoin.scala:436)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin$$anonfun$13.apply(CommonLookupJoin.scala:431)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin.checkEvalMethodSignature(CommonLookupJoin.scala:431)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin.translateToPlanInternal(CommonLookupJoin.scala:263)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLookupJoin.translateToPlanInternal(StreamExecLookupJoin.scala:99)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLookupJoin.translateToPlanInternal(StreamExecLookupJoin.scala:40)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLookupJoin.translateToPlan(StreamExecLookupJoin.scala:40)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:54)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:39)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalcBase.translateToPlan(StreamExecCalcBase.scala:38)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToTransformation(StreamExecSink.scala:184)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:153)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:48)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlan(StreamExecSink.scala:48)
at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:60)
at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:59)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
{code}
{color:#de350b}Flink SQL-02{color}
{code:java}
select
t1.col_key as col_key,
t1.col_val as col_val,
t2.PID as pid,
t2.DD_APDATE,
t2.SID,
t2.TRX_AMOUNT
from coll_source_1 as t1
left join redis_dimension_1 FOR SYSTEM_TIME AS OF t1.proctime as t2
on t1.col_key = t2.PID where CAST(t2.SID AS INTEGER) = 2
{code}
{color:#de350b}Error-02{color}
{code:java}
java.lang.RuntimeException: Error while applying rule StreamExecSnapshotOnCalcTableScanRule, args [rel#260:FlinkLogicalJoin.LOGICAL.any.None: 0.false.UNKNOWN(left=RelSubset#254,right=RelSubset#259,condition==($0, $2),joinType=inner), rel#253:FlinkLogicalCalc.LOGICAL.any.None: 0.false.UNKNOWN(input=RelSubset#252,select=col_key, col_val), rel#258:FlinkLogicalSnapshot.LOGICAL.any.None: 0.false.UNKNOWN(input=RelSubset#257,period=$cor0.proctime), rel#256:FlinkLogicalCalc.LOGICAL.any.None: 0.false.UNKNOWN(input=RelSubset#255,select=PID, DD_APDATE, SID, TRX_AMOUNT,where==(CAST(SID), 2)), rel#216:FlinkLogicalTableSourceScan.LOGICAL.any.None: 0.false.UNKNOWN(table=[default_catalog, default_database, redis_dimension_1, source: [RedisLookupTableSource(PID, DD_APDATE, SEQNO, SID, UID, btest, APPID, CLIENT_ID, TRX_AMOUNT)]],fields=PID, DD_APDATE, SEQNO, SID, UID, btest, APPID, CLIENT_ID, TRX_AMOUNT)] 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.java.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.java:351)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toAppendStream(StreamTableEnvironmentImpl.java:259)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toAppendStream(StreamTableEnvironmentImpl.java:250)
at com.huawei.fi.rtd.flinksql.connector.redis.RedisDimensionTest.testCollectionJoinRedis(RedisDimensionTest.java:71)
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 org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:68)
at com.intellij.rt.execution.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:47)
at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:242)
at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:70)
Caused by: scala.MatchError: (CAST($3):INTEGER,2) (of class scala.Tuple2)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin.org$apache$flink$table$planner$plan$nodes$common$CommonLookupJoin$$extractConstantField(CommonLookupJoin.scala:601)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin.extractConstantFieldsFromEquiCondition(CommonLookupJoin.scala:591)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin.analyzeLookupKeys(CommonLookupJoin.scala:551)
at org.apache.flink.table.planner.plan.nodes.common.CommonLookupJoin.<init>(CommonLookupJoin.scala:129)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecLookupJoin.<init>(StreamExecLookupJoin.scala:49)
at org.apache.flink.table.planner.plan.rules.physical.stream.StreamExecLookupJoinRule$.org$apache$flink$table$planner$plan$rules$physical$stream$StreamExecLookupJoinRule$$doTransform(StreamExecLookupJoinRule.scala:88)
at org.apache.flink.table.planner.plan.rules.physical.stream.StreamExecLookupJoinRule$SnapshotOnCalcTableScanRule.transform(StreamExecLookupJoinRule.scala:65)
at org.apache.flink.table.planner.plan.rules.physical.common.BaseSnapshotOnCalcTableScanRule.onMatch(CommonLookupJoinRule.scala:172)
at org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:208)
... 45 more
{code}
I debug the program，the root cause is that FilterJoinRule.FILTER_ON_JOIN rule。I think that it should be forbid when join with a temporal table.
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