Rui Li created HIVE-8610:
----------------------------
Summary: Compile time skew join optimization doesn't work with
auto map join
Key: HIVE-8610
URL: https://issues.apache.org/jira/browse/HIVE-8610
Project: Hive
Issue Type: Bug
Reporter: Rui Li
NPE is thrown if both {{hive.optimize.skewjoin.compiletime}} and
{{hive.auto.convert.join}} are enabled:
{code}
java.lang.NullPointerException
at
org.apache.hadoop.hive.ql.optimizer.MapJoinProcessor.convertMapJoin(MapJoinProcessor.java:329)
at
org.apache.hadoop.hive.ql.optimizer.MapJoinProcessor.genMapJoinOpAndLocalWork(MapJoinProcessor.java:236)
at
org.apache.hadoop.hive.ql.optimizer.physical.CommonJoinTaskDispatcher.convertTaskToMapJoinTask(CommonJoinTaskDispatcher.java:181)
at
org.apache.hadoop.hive.ql.optimizer.physical.CommonJoinTaskDispatcher.processCurrentTask(CommonJoinTaskDispatcher.java:463)
at
org.apache.hadoop.hive.ql.optimizer.physical.AbstractJoinTaskDispatcher.dispatch(AbstractJoinTaskDispatcher.java:182)
at
org.apache.hadoop.hive.ql.lib.TaskGraphWalker.dispatch(TaskGraphWalker.java:111)
at
org.apache.hadoop.hive.ql.lib.TaskGraphWalker.walk(TaskGraphWalker.java:194)
at
org.apache.hadoop.hive.ql.lib.TaskGraphWalker.startWalking(TaskGraphWalker.java:139)
at
org.apache.hadoop.hive.ql.optimizer.physical.CommonJoinResolver.resolve(CommonJoinResolver.java:79)
at
org.apache.hadoop.hive.ql.optimizer.physical.PhysicalOptimizer.optimize(PhysicalOptimizer.java:107)
at
org.apache.hadoop.hive.ql.parse.MapReduceCompiler.optimizeTaskPlan(MapReduceCompiler.java:275)
at
org.apache.hadoop.hive.ql.parse.TaskCompiler.compile(TaskCompiler.java:223)
at
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.analyzeInternal(SemanticAnalyzer.java:10028)
at
org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:221)
at
org.apache.hadoop.hive.ql.parse.ExplainSemanticAnalyzer.analyzeInternal(ExplainSemanticAnalyzer.java:74)
at
org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:221)
at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:415)
at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:303)
at org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1068)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1130)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1005)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:995)
at
org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:246)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:198)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:408)
at
org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:781)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:675)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:614)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
{code}
A simple way to reproduce this issue is to add {{set
hive.auto.convert.join=true}} to one of the skew join qfile, e.g.
{{skewjoinopt2.q}}.
While reduce side join can produce correct results, we kind of lost the point
of skew join optimization - join skewed data via a map join to avoid one
reducer getting too much records.
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