[jira] [Updated] (SPARK-17204) Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data corruption

2017-03-23 Thread Wenchen Fan (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-17204: Fix Version/s: 2.0.3 > Spark 2.0 off heap RDD persistence with replication factor 2 leads to > in-

[jira] [Updated] (SPARK-17204) Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data corruption

2016-11-29 Thread Michael Allman (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Allman updated SPARK-17204: --- Description: We use the {{OFF_HEAP}} storage level extensively with great success. We've tri

[jira] [Updated] (SPARK-17204) Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data corruption

2016-11-29 Thread Michael Allman (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Allman updated SPARK-17204: --- Description: We use the {{OFF_HEAP}} storage level extensively with great success. We've tri

[jira] [Updated] (SPARK-17204) Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data corruption

2016-08-24 Thread Michael Allman (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Allman updated SPARK-17204: --- Description: We use the OFF_HEAP storage level extensively with great success. We've tried o

[jira] [Updated] (SPARK-17204) Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data corruption

2016-08-24 Thread Michael Allman (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Allman updated SPARK-17204: --- Description: We use the OFF_HEAP storage level extensively with great success. We've tried o

[jira] [Updated] (SPARK-17204) Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data corruption

2016-08-24 Thread Michael Allman (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Allman updated SPARK-17204: --- Description: We use the OFF_HEAP storage level extensively with great success. We've tried o

[jira] [Updated] (SPARK-17204) Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data corruption

2016-08-23 Thread Michael Allman (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Allman updated SPARK-17204: --- Summary: Spark 2.0 off heap RDD persistence with replication factor 2 leads to in-memory data