[jira] [Resolved] (SPARK-17495) Hive hash implementation
[ https://issues.apache.org/jira/browse/SPARK-17495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Takeshi Yamamuro resolved SPARK-17495. -- Fix Version/s: 2.2.0 Resolution: Fixed Resolved by [https://github.com/apache/spark/pull/17062] > Hive hash implementation > > > Key: SPARK-17495 > URL: https://issues.apache.org/jira/browse/SPARK-17495 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 2.2.0 >Reporter: Tejas Patil >Assignee: Tejas Patil >Priority: Minor > Fix For: 2.2.0 > > > Spark internally uses Murmur3Hash for partitioning. This is different from > the one used by Hive. For queries which use bucketing this leads to different > results if one tries the same query on both engines. For us, we want users to > have backward compatibility to that one can switch parts of applications > across the engines without observing regressions. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-17495) Hive hash implementation
[ https://issues.apache.org/jira/browse/SPARK-17495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li resolved SPARK-17495. - Resolution: Fixed > Hive hash implementation > > > Key: SPARK-17495 > URL: https://issues.apache.org/jira/browse/SPARK-17495 > Project: Spark > Issue Type: Sub-task > Components: SQL >Reporter: Tejas Patil >Assignee: Tejas Patil >Priority: Minor > Fix For: 2.2.0 > > > Spark internally uses Murmur3Hash for partitioning. This is different from > the one used by Hive. For queries which use bucketing this leads to different > results if one tries the same query on both engines. For us, we want users to > have backward compatibility to that one can switch parts of applications > across the engines without observing regressions. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-17495) Hive hash implementation
[ https://issues.apache.org/jira/browse/SPARK-17495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-17495. - Resolution: Fixed > Hive hash implementation > > > Key: SPARK-17495 > URL: https://issues.apache.org/jira/browse/SPARK-17495 > Project: Spark > Issue Type: Sub-task > Components: SQL >Reporter: Tejas Patil >Assignee: Tejas Patil >Priority: Minor > Fix For: 2.2.0 > > > Spark internally uses Murmur3Hash for partitioning. This is different from > the one used by Hive. For queries which use bucketing this leads to different > results if one tries the same query on both engines. For us, we want users to > have backward compatibility to that one can switch parts of applications > across the engines without observing regressions. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-17495) Hive hash implementation
[ https://issues.apache.org/jira/browse/SPARK-17495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin resolved SPARK-17495. - Resolution: Fixed Fix Version/s: 2.2.0 > Hive hash implementation > > > Key: SPARK-17495 > URL: https://issues.apache.org/jira/browse/SPARK-17495 > Project: Spark > Issue Type: Sub-task > Components: SQL >Reporter: Tejas Patil >Assignee: Tejas Patil >Priority: Minor > Fix For: 2.2.0 > > > Spark internally uses Murmur3Hash for partitioning. This is different from > the one used by Hive. For queries which use bucketing this leads to different > results if one tries the same query on both engines. For us, we want users to > have backward compatibility to that one can switch parts of applications > across the engines without observing regressions. -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-17495) Hive hash implementation
[ https://issues.apache.org/jira/browse/SPARK-17495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Herman van Hovell resolved SPARK-17495. --- Resolution: Fixed Assignee: Tejas Patil Fix Version/s: 2.1.0 > Hive hash implementation > > > Key: SPARK-17495 > URL: https://issues.apache.org/jira/browse/SPARK-17495 > Project: Spark > Issue Type: Bug > Components: SQL >Reporter: Tejas Patil >Assignee: Tejas Patil >Priority: Minor > Fix For: 2.1.0 > > > Spark internally uses Murmur3Hash for partitioning. This is different from > the one used by Hive. For queries which use bucketing this leads to different > results if one tries the same query on both engines. For us, we want users to > have backward compatibility to that one can switch parts of applications > across the engines without observing regressions. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
