Paul Staab created SPARK-40155:
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Summary: Optionally use a serialized storage level for
DataFrame.localCheckpoint()
Key: SPARK-40155
URL: https://issues.apache.org/jira/browse/SPARK-40155
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-40154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Paul Staab updated SPARK-40154:
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Description:
The docstring of the `DataFrame.cache()` method currently states that it uses a
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https://issues.apache.org/jira/browse/SPARK-40154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Paul Staab updated SPARK-40154:
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Priority: Minor (was: Major)
> PySpark: DataFrame.cache docstring gives wrong storage level
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Paul Staab created SPARK-40154:
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Summary: PySpark: DataFrame.cache docstring gives wrong storage
level
Key: SPARK-40154
URL: https://issues.apache.org/jira/browse/SPARK-40154
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21063?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16516990#comment-16516990
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Paul Staab edited comment on SPARK-21063 at 6/19/18 12:01 PM:
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I was able
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Paul Staab edited comment on SPARK-21063 at 6/19/18 11:59 AM:
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I was able
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Paul Staab edited comment on SPARK-21063 at 6/19/18 11:59 AM:
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I was able
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Paul Staab edited comment on SPARK-21063 at 6/19/18 11:58 AM:
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I was able
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Paul Staab commented on SPARK-21063:
I was able to find a workaround for this problem on Spark
