Till Rohrmann created FLINK-2964:
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Summary: MutableHashTable fails when spilling partitions without
overflow segments
Key: FLINK-2964
URL: https://issues.apache.org/jira/browse/FLINK-2964
Project: Flink
Issue Type: Bug
Affects Versions: 0.10
Reporter: Till Rohrmann
Assignee: Till Rohrmann
Priority: Critical
When one performs a join operation with many and large records then the join
operation fails with the following exception when it tries to spill a
{{HashPartition}}.
{code}
java.lang.RuntimeException: Bug in Hybrid Hash Join: Request to spill a
partition with less than two buffers.
at
org.apache.flink.runtime.operators.hash.HashPartition.spillPartition(HashPartition.java:302)
at
org.apache.flink.runtime.operators.hash.MutableHashTable.spillPartition(MutableHashTable.java:1108)
at
org.apache.flink.runtime.operators.hash.MutableHashTable.nextSegment(MutableHashTable.java:1277)
at
org.apache.flink.runtime.operators.hash.HashPartition$BuildSideBuffer.nextSegment(HashPartition.java:524)
at
org.apache.flink.runtime.memory.AbstractPagedOutputView.advance(AbstractPagedOutputView.java:140)
at
org.apache.flink.runtime.memory.AbstractPagedOutputView.write(AbstractPagedOutputView.java:201)
at
org.apache.flink.runtime.memory.AbstractPagedOutputView.write(AbstractPagedOutputView.java:178)
at
org.apache.flink.api.common.typeutils.base.array.BytePrimitiveArraySerializer.serialize(BytePrimitiveArraySerializer.java:74)
at
org.apache.flink.api.common.typeutils.base.array.BytePrimitiveArraySerializer.serialize(BytePrimitiveArraySerializer.java:30)
at
org.apache.flink.runtime.operators.hash.HashPartition.insertIntoBuildBuffer(HashPartition.java:257)
at
org.apache.flink.runtime.operators.hash.MutableHashTable.insertIntoTable(MutableHashTable.java:856)
at
org.apache.flink.runtime.operators.hash.MutableHashTable.buildInitialTable(MutableHashTable.java:685)
at
org.apache.flink.runtime.operators.hash.MutableHashTable.open(MutableHashTable.java:443)
at
org.apache.flink.runtime.operators.hash.HashTableTest.testSpillingWhenBuildingTableWithoutOverflow(HashTableTest.java:234)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at
org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:47)
at
org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at
org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:44)
at
org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:271)
at
org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:70)
at
org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:238)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:63)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:236)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:53)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:229)
at org.junit.runners.ParentRunner.run(ParentRunner.java:309)
at org.junit.runner.JUnitCore.run(JUnitCore.java:160)
at
com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:78)
at
com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:212)
at
com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:68)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
{code}
The reason is that the {{HashPartition}} does not include the number of used
memory segments by the {{BuildSideBuffer}} when it counts the currently
occupied memory segments.
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