[jira] [Updated] (SPARK-18750) spark should be able to control the number of executor and should not throw stack overslow

2017-01-25 Thread Marcelo Vanzin (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-18750?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Marcelo Vanzin updated SPARK-18750: --- Fix Version/s: 2.0.3 > spark should be able to control the number of executor and should not

[jira] [Updated] (SPARK-18750) spark should be able to control the number of executor and should not throw stack overslow

2017-01-20 Thread Marcelo Vanzin (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-18750?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Marcelo Vanzin updated SPARK-18750: --- Description: When running Sql queries on large datasets. Job fails with stack overflow

[jira] [Updated] (SPARK-18750) spark should be able to control the number of executor and should not throw stack overslow

2016-12-06 Thread Neerja Khattar (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-18750?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Neerja Khattar updated SPARK-18750: --- Description: When running Sql queries on large datasets. Job fails with stack overflow