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https://issues.apache.org/jira/browse/HIVE-11525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14987839#comment-14987839
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Hive QA commented on HIVE-11525:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12770276/HIVE-11525.1.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 9761 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_bucketpruning1
org.apache.hadoop.hive.cli.TestHBaseCliDriver.testCliDriver_hbase_queries
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_uri_import
org.apache.hadoop.hive.hwi.TestHWISessionManager.testHiveDriver
org.apache.hive.jdbc.TestSSL.testSSLVersion
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/5903/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/5903/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-5903/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
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: 5 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12770276 - PreCommit-HIVE-TRUNK-Build
> Bucket pruning
> --------------
>
> Key: HIVE-11525
> URL: https://issues.apache.org/jira/browse/HIVE-11525
> Project: Hive
> Issue Type: Improvement
> Components: Logical Optimizer
> Affects Versions: 0.13.0, 0.14.0, 0.13.1, 1.0.0, 1.1.0
> Reporter: Maciek Kocon
> Assignee: Gopal V
> Labels: gsoc2015
> Attachments: HIVE-11525.1.patch, HIVE-11525.WIP.patch
>
>
> Logically and functionally bucketing and partitioning are quite similar -
> both provide mechanism to segregate and separate the table's data based on
> its content. Thanks to that significant further optimisations like
> [partition] PRUNING or [bucket] MAP JOIN are possible.
> The difference seems to be imposed by design where the PARTITIONing is
> open/explicit while BUCKETing is discrete/implicit.
> Partitioning seems to be very common if not a standard feature in all current
> RDBMS while BUCKETING seems to be HIVE specific only.
> In a way BUCKETING could be also called by "hashing" or simply "IMPLICIT
> PARTITIONING".
> Regardless of the fact that these two are recognised as two separate features
> available in Hive there should be nothing to prevent leveraging same existing
> query/join optimisations across the two.
> BUCKET pruning
> Enable partition PRUNING equivalent optimisation for queries on BUCKETED
> tables
> Simplest example is for queries like:
> "SELECT … FROM x WHERE colA=123123"
> to read only the relevant bucket file rather than all file-buckets that
> belong to a table.
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