[jira] [Comment Edited] (SPARK-23427) spark.sql.autoBroadcastJoinThreshold causing OOM exception in the driver

[ https://issues.apache.org/jira/browse/SPARK-23427?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16368823#comment-16368823 ] Kazuaki Ishizaki edited comment on SPARK-23427 at 2/19/18 7:01 AM: --- I

[jira] [Commented] (SPARK-23427) spark.sql.autoBroadcastJoinThreshold causing OOM exception in the driver

[ https://issues.apache.org/jira/browse/SPARK-23427?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16368823#comment-16368823 ] Kazuaki Ishizaki commented on SPARK-23427: -- I got the OOM with the same stack trace for both

[jira] [Comment Edited] (SPARK-23427) spark.sql.autoBroadcastJoinThreshold causing OOM exception in the driver

[ https://issues.apache.org/jira/browse/SPARK-23427?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16368728#comment-16368728 ] Kazuaki Ishizaki edited comment on SPARK-23427 at 2/19/18 12:49 AM:

[jira] [Commented] (SPARK-23427) spark.sql.autoBroadcastJoinThreshold causing OOM exception in the driver

[ https://issues.apache.org/jira/browse/SPARK-23427?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16368728#comment-16368728 ] Kazuaki Ishizaki commented on SPARK-23427: -- Thank you. I ran this program several times with

[jira] [Created] (SPARK-23462) Improve the error message in `StructType`

Xiao Li created SPARK-23462: --- Summary: Improve the error message in `StructType` Key: SPARK-23462 URL: https://issues.apache.org/jira/browse/SPARK-23462 Project: Spark Issue Type: Bug

[jira] [Updated] (SPARK-23462) Improve the error message in `StructType`

[ https://issues.apache.org/jira/browse/SPARK-23462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiao Li updated SPARK-23462: Labels: starter (was: ) > Improve the error message in `StructType` >

[jira] [Updated] (SPARK-23461) vignettes should include model predictions for some ML models

[ https://issues.apache.org/jira/browse/SPARK-23461?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Felix Cheung updated SPARK-23461: - Description: eg.  Linear Support Vector Machine (SVM) Classifier h4. Logistic Regression Tree

[jira] [Commented] (SPARK-23423) Application declines any offers when killed+active executors rich spark.dynamicAllocation.maxExecutors

[ https://issues.apache.org/jira/browse/SPARK-23423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16368594#comment-16368594 ] Igor Berman commented on SPARK-23423: - [~skonto] today I haven't managed to run with dynamic

[jira] [Updated] (SPARK-23423) Application declines any offers when killed+active executors rich spark.dynamicAllocation.maxExecutors

[ https://issues.apache.org/jira/browse/SPARK-23423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Igor Berman updated SPARK-23423: Attachment: no-dyn-allocation-failed-no-statusUpdate.txt > Application declines any offers when

[jira] [Resolved] (SPARK-23402) Dataset write method not working as expected for postgresql database

[ https://issues.apache.org/jira/browse/SPARK-23402?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-23402. --- Resolution: Cannot Reproduce > Dataset write method not working as expected for postgresql database

[jira] [Commented] (SPARK-23053) taskBinarySerialization and task partitions calculate in DagScheduler.submitMissingTasks should keep the same RDD checkpoint status

[ https://issues.apache.org/jira/browse/SPARK-23053?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16368560#comment-16368560 ] Apache Spark commented on SPARK-23053: -- User 'ivoson' has created a pull request for this issue:

[jira] [Created] (SPARK-23461) vignettes should include model predictions for some ML models

Felix Cheung created SPARK-23461: Summary: vignettes should include model predictions for some ML models Key: SPARK-23461 URL: https://issues.apache.org/jira/browse/SPARK-23461 Project: Spark