[
https://issues.apache.org/jira/browse/HIVE-8621?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14204470#comment-14204470
]
Hive QA commented on HIVE-8621:
-------------------------------
{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/12680275/HIVE-8621.2-spark.patch
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 7232 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_optimize_nullscan
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_optimize_nullscan
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_vectorization_14
org.apache.hadoop.hive.ql.exec.spark.TestHiveKVResultCache.testResultList
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/335/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/335/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-335/
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: 5 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12680275 - PreCommit-HIVE-SPARK-Build
> Dump small table join data for map-join [Spark Branch]
> ------------------------------------------------------
>
> Key: HIVE-8621
> URL: https://issues.apache.org/jira/browse/HIVE-8621
> Project: Hive
> Issue Type: Sub-task
> Reporter: Suhas Satish
> Assignee: Jimmy Xiang
> Fix For: spark-branch
>
> Attachments: HIVE-8621.1-spark.patch, HIVE-8621.2-spark.patch
>
>
> This jira aims to re-use a slightly modified approach of map-reduce
> distributed cache in spark to dump map-joined small tables as hash tables
> onto spark DFS cluster.
> This is a sub-task of map-join for spark
> https://issues.apache.org/jira/browse/HIVE-7613
> This can use the baseline patch for map-join
> https://issues.apache.org/jira/browse/HIVE-8616
> The original thought process was to use broadcast variable concept in spark,
> for the small tables.
> The number of broadcast variables that must be created is m x n where
> 'm' is the number of small tables in the (m+1) way join and n is the number
> of buckets of tables. If unbucketed, n=1
> But it was discovered that objects compressed with kryo serialization on
> disk, can occupy 20X or more when deserialized in-memory. For bucket join,
> the spark Driver has to hold all the buckets (for bucketed tables) in-memory
> (to provide for fault-tolerance against Executor failures) although the
> executors only need individual buckets in their memory. So the broadcast
> variable approach may not be the right approach.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
