[jira] [Updated] (SPARK-23801) Consistent SIGSEGV after upgrading to Spark v2.3.0

2018-03-27 Thread Nathan Kleyn (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-23801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nathan Kleyn updated SPARK-23801: - Description: After upgrading to Spark v2.3.0 from Spark v2.1.1, we are seeing consistent

[jira] [Updated] (SPARK-23801) Consistent SIGSEGV after upgrading to Spark v2.3.0

2018-03-27 Thread Nathan Kleyn (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-23801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nathan Kleyn updated SPARK-23801: - Environment: MesosĀ coarse grained executor 18 * r3.4xlarge (16 core boxes) with 105G of executor

[jira] [Updated] (SPARK-23801) Consistent SIGSEGV after upgrading to Spark v2.3.0

2018-03-27 Thread Nathan Kleyn (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-23801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nathan Kleyn updated SPARK-23801: - Environment: 18 * r3.4xlarge (16 core boxes) with 105G of executor memory > Consistent SIGSEGV

[jira] [Updated] (SPARK-23801) Consistent SIGSEGV after upgrading to Spark v2.3.0

2018-03-27 Thread Nathan Kleyn (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-23801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nathan Kleyn updated SPARK-23801: - Attachment: spark-executor-failure.coredump.log > Consistent SIGSEGV after upgrading to Spark