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https://issues.apache.org/jira/browse/HIVE-14448?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412791#comment-15412791
]
Sergey Shelukhin commented on HIVE-14448:
-----------------------------------------
[~ekoifman] the difference in this case is that fileSchema has the actual file
schema, with acid cols and user portion, whereas readerSchema only has the user
portion. So it would always be different (assuming the code passing this in is
consistent...). See the test in the description that triggers this condition.
> 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: Sergey Shelukhin
> Attachments: 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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