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https://issues.apache.org/jira/browse/SPARK-19623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jaeboo Jung closed SPARK-19623.
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Resolution: Cannot Reproduce
Fix Version/s: 2.1.0
> Take rows from DataFrame with empty first
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https://issues.apache.org/jira/browse/SPARK-19623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15996344#comment-15996344
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Jaeboo Jung commented on SPARK-19623:
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It no longer appears if I upgrade spark version to 2.1.0.
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https://issues.apache.org/jira/browse/SPARK-19623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870990#comment-15870990
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Jaeboo Jung edited comment on SPARK-19623 at 2/17/17 2:15 AM:
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Increasing
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https://issues.apache.org/jira/browse/SPARK-19623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870990#comment-15870990
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Jaeboo Jung commented on SPARK-19623:
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Increasing driver memory can't clear this issue because memory
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https://issues.apache.org/jira/browse/SPARK-19623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jaeboo Jung updated SPARK-19623:
Description:
I use Spark 1.6.2 with 1 master and 6 workers. Assuming we have partitions
having a
Jaeboo Jung created SPARK-19623:
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Summary: Take rows from DataFrame with empty first partition
Key: SPARK-19623
URL: https://issues.apache.org/jira/browse/SPARK-19623
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-5997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15035156#comment-15035156
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Jaeboo Jung commented on SPARK-5997:
This is good idea to increase parallelism without shuffle. But
jaeboo jung created SPARK-8304:
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Summary: Table with a large number of columns
Key: SPARK-8304
URL: https://issues.apache.org/jira/browse/SPARK-8304
Project: Spark
Issue Type: Bug
Affects