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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-
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https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Allman updated SPARK-17204:
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Description:
We use the {{OFF_HEAP}} storage level extensively with great success. We've
tri
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https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Allman updated SPARK-17204:
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Description:
We use the {{OFF_HEAP}} storage level extensively with great success. We've
tri
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https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Allman updated SPARK-17204:
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Description:
We use the OFF_HEAP storage level extensively with great success. We've tried
o
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https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Allman updated SPARK-17204:
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Description:
We use the OFF_HEAP storage level extensively with great success. We've tried
o
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https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Allman updated SPARK-17204:
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Description:
We use the OFF_HEAP storage level extensively with great success. We've tried
o
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https://issues.apache.org/jira/browse/SPARK-17204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Allman updated SPARK-17204:
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Summary: Spark 2.0 off heap RDD persistence with replication factor 2 leads
to in-memory data