[jira] [Created] (SPARK-47687) When creating a table through ThriftServer, set the table owner to the connected user

Yun Zhao created SPARK-47687: Summary: When creating a table through ThriftServer, set the table owner to the connected user Key: SPARK-47687 URL: https://issues.apache.org/jira/browse/SPARK-47687 Project

[jira] [Closed] (SPARK-10879) spark on yarn support priority option

[ https://issues.apache.org/jira/browse/SPARK-10879?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yun Zhao closed SPARK-10879. Resolution: Later > spark on yarn support priority option > - > >

[jira] [Commented] (SPARK-10879) spark on yarn support priority option

[ https://issues.apache.org/jira/browse/SPARK-10879?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14948324#comment-14948324 ] Yun Zhao commented on SPARK-10879: -- Thanks for Marcelo Vanzin's reminder. I'll reopen t

[jira] [Updated] (SPARK-10879) spark on yarn support priority option

[ https://issues.apache.org/jira/browse/SPARK-10879?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yun Zhao updated SPARK-10879: - Component/s: YARN Spark Submit > spark on yarn support priority option > ---

[jira] [Created] (SPARK-10879) spark on yarn support priority option

Yun Zhao created SPARK-10879: Summary: spark on yarn support priority option Key: SPARK-10879 URL: https://issues.apache.org/jira/browse/SPARK-10879 Project: Spark Issue Type: Improvement

[jira] [Created] (SPARK-10839) SPARK_DAEMON_MEMORY has effect on heap size of thriftserver

Yun Zhao created SPARK-10839: Summary: SPARK_DAEMON_MEMORY has effect on heap size of thriftserver Key: SPARK-10839 URL: https://issues.apache.org/jira/browse/SPARK-10839 Project: Spark Issue Ty

[jira] [Updated] (SPARK-10838) Repeat to join one DataFrame twice，there will be AnalysisException.

[ https://issues.apache.org/jira/browse/SPARK-10838?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yun Zhao updated SPARK-10838: - Description: The detail of exception is: {quote} Exception in thread "main" org.apache.spark.sql.Analysis

[jira] [Created] (SPARK-10838) Repeat to join one DataFrame twice，there will be AnalysisException.

Yun Zhao created SPARK-10838: Summary: Repeat to join one DataFrame twice，there will be AnalysisException. Key: SPARK-10838 URL: https://issues.apache.org/jira/browse/SPARK-10838 Project: Spark

[jira] [Created] (SPARK-10837) TimeStamp could not work on sparksql very well

Yun Zhao created SPARK-10837: Summary: TimeStamp could not work on sparksql very well Key: SPARK-10837 URL: https://issues.apache.org/jira/browse/SPARK-10837 Project: Spark Issue Type: Bug

[jira] [Updated] (SPARK-10149) Locality Level is ANY on "Details for Stage" WebUI page

[ https://issues.apache.org/jira/browse/SPARK-10149?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yun Zhao updated SPARK-10149: - Description: Locality Level is ANY on "Details for Stage" WebUI page When a sc.textFile(XX) program is

[jira] [Created] (SPARK-10149) Locality Level is ANY on "Details for Stage" WebUI page

Yun Zhao created SPARK-10149: Summary: Locality Level is ANY on "Details for Stage" WebUI page Key: SPARK-10149 URL: https://issues.apache.org/jira/browse/SPARK-10149 Project: Spark Issue Type: B

[jira] [Created] (SPARK-7630) Going with Terasort,when test data's partitions is larger than 200,the sorted data cann't be passed by TeraValidate.

Yun Zhao created SPARK-7630: --- Summary: Going with Terasort,when test data's partitions is larger than 200,the sorted data cann't be passed by TeraValidate. Key: SPARK-7630 URL: https://issues.apache.org/jira/browse/SPAR