[jira] [Resolved] (SPARK-48690) SPJ: Support auto-shuffle one side + less join keys than partition keys

[ https://issues.apache.org/jira/browse/SPARK-48690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sun Chao resolved SPARK-48690. -- Fix Version/s: 4.0.0 Resolution: Fixed > SPJ: Support auto-shuffle one side + less join keys

[jira] [Resolved] (SPARK-35959) Add a new Maven profile "no-shaded-client" for older Hadoop 3.x versions

[ https://issues.apache.org/jira/browse/SPARK-35959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sun Chao resolved SPARK-35959. -- Resolution: Won't Fix > Add a new Maven profile "no-shaded-client" for older Hadoop 3.x versions >

[jira] [Commented] (SPARK-43197) Clean up the code written for compatibility with Hadoop 2

[ https://issues.apache.org/jira/browse/SPARK-43197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17714403#comment-17714403 ] Sun Chao commented on SPARK-43197: -- Thanks for the ping [~gurwls223] . Subscribed. > Clean up the code

[jira] [Commented] (SPARK-42539) User-provided JARs can override Spark's Hive metadata client JARs when using "builtin"

[ https://issues.apache.org/jira/browse/SPARK-42539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17713801#comment-17713801 ] Sun Chao commented on SPARK-42539: -- Oops my bad [~xkrogen] - you're right, this is not in Spark 3.5

[jira] [Assigned] (SPARK-42539) User-provided JARs can override Spark's Hive metadata client JARs when using "builtin"

[ https://issues.apache.org/jira/browse/SPARK-42539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sun Chao reassigned SPARK-42539: Assignee: Erik Krogen > User-provided JARs can override Spark's Hive metadata client JARs when

[jira] [Resolved] (SPARK-42977) spark sql Disable vectorized faild

[ https://issues.apache.org/jira/browse/SPARK-42977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sun Chao resolved SPARK-42977. -- Resolution: Not A Problem This is an issue on Iceberg side. Closing now. > spark sql Disable

[jira] [Commented] (SPARK-40703) Performance regression for joins in Spark 3.3 vs Spark 3.2

[ https://issues.apache.org/jira/browse/SPARK-40703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17614200#comment-17614200 ] Sun Chao commented on SPARK-40703: -- [~bryanck] In the above case, what is the partition spec for the

[jira] [Comment Edited] (SPARK-40703) Performance regression for joins in Spark 3.3 vs Spark 3.2

[ https://issues.apache.org/jira/browse/SPARK-40703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17614199#comment-17614199 ] Sun Chao edited comment on SPARK-40703 at 10/7/22 6:08 PM: --- cc [~yumwang]

[jira] [Commented] (SPARK-40703) Performance regression for joins in Spark 3.3 vs Spark 3.2

[ https://issues.apache.org/jira/browse/SPARK-40703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17614199#comment-17614199 ] Sun Chao commented on SPARK-40703: -- cc @yumwang > Performance regression for joins in Spark 3.3 vs

[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning

[ https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607919#comment-17607919 ] Sun Chao commented on SPARK-40508: -- Great to know. Thanks! > Treat unknown partitioning as

[jira] [Commented] (SPARK-40508) Treat unknown partitioning as UnknownPartitioning

[ https://issues.apache.org/jira/browse/SPARK-40508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17607902#comment-17607902 ] Sun Chao commented on SPARK-40508: -- Oh, thanks [~viirya] ! For some reason the merge script was