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https://issues.apache.org/jira/browse/HIVE-14448?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15419697#comment-15419697
]
Matt McCline commented on HIVE-14448:
-------------------------------------
[~sershe] Thank you very much for your code reviewing.
> Queries with predicate fail when ETL split strategy is chosen for ACID tables
> -----------------------------------------------------------------------------
>
> Key: HIVE-14448
> URL: https://issues.apache.org/jira/browse/HIVE-14448
> Project: Hive
> Issue Type: Bug
> Components: Transactions
> Affects Versions: 2.2.0
> Reporter: Saket Saurabh
> Assignee: Matt McCline
> Priority: Critical
> Fix For: 2.2.0, 2.1.1
>
> Attachments: HIVE-14448.01.patch, HIVE-14448.02.patch,
> HIVE-14448.03.patch, HIVE-14448.04.patch, HIVE-14448.patch
>
>
> When ETL split strategy is applied to ACID tables with predicate pushdown
> (SARG enabled), split generation fails for ACID. This bug will be usually
> exposed when working with data at scale, because in most otherwise cases only
> BI split strategy is chosen. My guess is that this is happening because the
> correct readerSchema is not being picked up when we try to extract SARG
> column names.
> Quickest way to reproduce is to add the following unit test to
> ql/src/test/org/apache/hadoop/hive/ql/TestTxnCommands2.java
> {code:title=ql/src/test/org/apache/hadoop/hive/ql/TestTxnCommands2.java|borderStyle=solid}
> @Test
> public void testETLSplitStrategyForACID() throws Exception {
> hiveConf.setVar(HiveConf.ConfVars.HIVE_ORC_SPLIT_STRATEGY, "ETL");
> hiveConf.setBoolVar(HiveConf.ConfVars.HIVEOPTINDEXFILTER, true);
> runStatementOnDriver("insert into " + Table.ACIDTBL + " values(1,2)");
> runStatementOnDriver("alter table " + Table.ACIDTBL + " compact 'MAJOR'");
> runWorker(hiveConf);
> List<String> rs = runStatementOnDriver("select * from " + Table.ACIDTBL
> + " where a = 1");
> int[][] resultData = new int[][] {{1,2}};
> Assert.assertEquals(stringifyValues(resultData), rs);
> }
> {code}
> Back-trace for this failed test is as follows:
> {code}
> exec.Task: Job Submission failed with exception
> 'java.lang.RuntimeException(ORC split generation failed with exception:
> java.lang.NegativeArraySizeException)'
> java.lang.RuntimeException: ORC split generation failed with exception:
> java.lang.NegativeArraySizeException
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1570)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSplits(OrcInputFormat.java:1656)
> at
> org.apache.hadoop.hive.ql.io.HiveInputFormat.addSplitsForGroup(HiveInputFormat.java:370)
> at
> org.apache.hadoop.hive.ql.io.HiveInputFormat.getSplits(HiveInputFormat.java:488)
> at
> org.apache.hadoop.mapreduce.JobSubmitter.writeOldSplits(JobSubmitter.java:329)
> at
> org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:321)
> at
> org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:197)
> at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1297)
> at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1294)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1656)
> at org.apache.hadoop.mapreduce.Job.submit(Job.java:1294)
> at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:562)
> at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:557)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1656)
> at
> org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:557)
> at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:548)
> at
> org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:417)
> at
> org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:141)
> at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:197)
> at
> org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100)
> at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1962)
> at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1653)
> at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1389)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1131)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1119)
> at
> org.apache.hadoop.hive.ql.TestTxnCommands2.runStatementOnDriver(TestTxnCommands2.java:1292)
> at
> org.apache.hadoop.hive.ql.TestTxnCommands2.testETLSplitStrategyForACID(TestTxnCommands2.java:280)
> 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: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.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26)
> at
> org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27)
> at org.junit.rules.TestWatcher$1.evaluate(TestWatcher.java:55)
> at org.junit.rules.RunRules.evaluate(RunRules.java:20)
> 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.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:254)
> at
> org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:149)
> at
> org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
> at
> org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
> at
> org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
> at
> org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
> Caused by: java.util.concurrent.ExecutionException:
> java.lang.NegativeArraySizeException
> at java.util.concurrent.FutureTask.report(FutureTask.java:122)
> at java.util.concurrent.FutureTask.get(FutureTask.java:192)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1560)
> ... 57 more
> Caused by: java.lang.NegativeArraySizeException
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSargColumnNames(OrcInputFormat.java:378)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.extractNeededColNames(OrcInputFormat.java:444)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.extractNeededColNames(OrcInputFormat.java:439)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.access$2800(OrcInputFormat.java:146)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.callInternal(OrcInputFormat.java:1274)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.access$2600(OrcInputFormat.java:1068)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1248)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1245)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1656)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:1245)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$ETLSplitStrategy.runGetSplitsSync(OrcInputFormat.java:883)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$ETLSplitStrategy.access$1300(OrcInputFormat.java:700)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$ETLSplitStrategy$1.run(OrcInputFormat.java:857)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$ETLSplitStrategy$1.run(OrcInputFormat.java:854)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1656)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$ETLSplitStrategy.call(OrcInputFormat.java:854)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$ETLSplitStrategy.call(OrcInputFormat.java:700)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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