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https://issues.apache.org/jira/browse/HIVE-9188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14296359#comment-14296359
]
Hive QA commented on HIVE-9188:
-------------------------------
{color:red}Overall{color}: -1 at least one tests failed
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12695124/HIVE-9188.5.patch
{color:red}ERROR:{color} -1 due to 56 failed/errored test(s), 7430 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_orc_create
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_orc_split_elimination
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_join38
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_subquery_in
org.apache.hadoop.hive.ql.io.orc.TestColumnStatistics.testHasNull
org.apache.hadoop.hive.ql.io.orc.TestInputOutputFormat.testMROutput
org.apache.hadoop.hive.ql.io.orc.TestInputOutputFormat.testSplitElimination
org.apache.hadoop.hive.ql.io.orc.TestInputOutputFormat.testSplitEliminationNullStats
org.apache.hive.hcatalog.mapreduce.TestHCatDynamicPartitioned.testHCatDynamicPartitionedTableMultipleTask[3]
org.apache.hive.hcatalog.mapreduce.TestHCatDynamicPartitioned.testHCatDynamicPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatExternalDynamicPartitioned.testHCatDynamicPartitionedTableMultipleTask[3]
org.apache.hive.hcatalog.mapreduce.TestHCatExternalDynamicPartitioned.testHCatDynamicPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatExternalDynamicPartitioned.testHCatExternalDynamicCustomLocation[3]
org.apache.hive.hcatalog.mapreduce.TestHCatExternalNonPartitioned.testHCatNonPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatExternalPartitioned.testHCatPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatMutableDynamicPartitioned.testHCatDynamicPartitionedTableMultipleTask[3]
org.apache.hive.hcatalog.mapreduce.TestHCatMutableDynamicPartitioned.testHCatDynamicPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatMutableNonPartitioned.testHCatNonPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatMutablePartitioned.testHCatPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatNonPartitioned.testHCatNonPartitionedTable[3]
org.apache.hive.hcatalog.mapreduce.TestHCatPartitioned.testHCatPartitionedTable[3]
org.apache.hive.hcatalog.pig.TestE2EScenarios.testReadOrcAndRCFromPig
org.apache.hive.hcatalog.pig.TestHCatLoader.testProjectionsBasic[3]
org.apache.hive.hcatalog.pig.TestHCatLoader.testReadDataBasic[3]
org.apache.hive.hcatalog.pig.TestHCatLoader.testReadPartitionedBasic[3]
org.apache.hive.hcatalog.pig.TestHCatLoaderComplexSchema.testMapNullKey[3]
org.apache.hive.hcatalog.pig.TestHCatLoaderComplexSchema.testMapWithComplexData[3]
org.apache.hive.hcatalog.pig.TestHCatLoaderComplexSchema.testSyntheticComplexSchema[3]
org.apache.hive.hcatalog.pig.TestHCatLoaderComplexSchema.testTupleInBagInTupleInBag[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testBagNStruct[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testDateCharTypes[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testDynamicPartitioningMultiPartColsInDataNoSpec[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testDynamicPartitioningMultiPartColsInDataPartialSpec[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testMultiPartColsInData[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testPartColsInData[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testStoreFuncAllSimpleTypes[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testStoreFuncSimple[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testStoreInPartiitonedTbl[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testStoreMultiTables[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testStoreWithNoCtorArgs[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testStoreWithNoSchema[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteChar[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteDate2[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteDate3[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteDate[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteDecimalXY[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteDecimalX[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteDecimal[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteSmallint[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteTimestamp[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteTinyint[3]
org.apache.hive.hcatalog.pig.TestHCatStorer.testWriteVarchar[3]
org.apache.hive.hcatalog.pig.TestHCatStorerMulti.testStoreBasicTable[3]
org.apache.hive.hcatalog.pig.TestHCatStorerMulti.testStorePartitionedTable[3]
org.apache.hive.hcatalog.pig.TestHCatStorerMulti.testStoreTableMulti[3]
org.apache.hive.hcatalog.templeton.TestWebHCatE2e.getHiveVersion
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2561/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2561/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-2561/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 56 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12695124 - PreCommit-HIVE-TRUNK-Build
> BloomFilter in ORC row group index
> ----------------------------------
>
> Key: HIVE-9188
> URL: https://issues.apache.org/jira/browse/HIVE-9188
> Project: Hive
> Issue Type: New Feature
> Components: File Formats
> Affects Versions: 0.15.0
> Reporter: Prasanth Jayachandran
> Assignee: Prasanth Jayachandran
> Labels: orcfile
> Attachments: HIVE-9188.1.patch, HIVE-9188.2.patch, HIVE-9188.3.patch,
> HIVE-9188.4.patch, HIVE-9188.5.patch
>
>
> BloomFilters are well known probabilistic data structure for set membership
> checking. We can use bloom filters in ORC index for better row group pruning.
> Currently, ORC row group index uses min/max statistics to eliminate row
> groups (stripes as well) that do not satisfy predicate condition specified in
> the query. But in some cases, the efficiency of min/max based elimination is
> not optimal (unsorted columns with wide range of entries). Bloom filters can
> be an effective and efficient alternative for row group/split elimination for
> point queries or queries with IN clause.
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