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Yuechen Chen updated SPARK-22814:
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Docs Text: (was: https://github.com/apache/spark/pull/1)
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Yuechen Chen updated SPARK-22814:
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Comment: was deleted
(was: https://github.com/apache/spark/pull/1)
> JDBC support
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Yuechen Chen updated SPARK-22814:
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Docs Text: https://github.com/apache/spark/pull/1
External issue URL: (was:
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Yuechen Chen updated SPARK-22814:
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External issue URL: https://github.com/apache/spark/pull/1
> JDBC support date/timestamp
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Yuechen Chen commented on SPARK-22814:
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https://github.com/apache/spark/pull/1
> JDBC support
Yuechen Chen created SPARK-22814:
Summary: JDBC support date/timestamp type as partitionColumn
Key: SPARK-22814
URL: https://issues.apache.org/jira/browse/SPARK-22814
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-20608?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16007561#comment-16007561
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Yuechen Chen commented on SPARK-20608:
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I try this solution, but meet with some problems.
I
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Yuechen Chen commented on SPARK-20608:
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I know what you mean and that's exactly right.
But since
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Yuechen Chen commented on SPARK-20608:
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All said, I think it is unreasonable that spark application
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Yuechen Chen commented on SPARK-20608:
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Thanks [~liuml07], [~vanzin]. My colleague in charge of
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Yuechen Chen commented on SPARK-20608:
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[~vanzin] By my knowledge, Spark will gain token in two
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Yuechen Chen commented on SPARK-20608:
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[~ste...@apache.org] Your worry is reasonable. In our tests,
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Yuechen Chen updated SPARK-20608:
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Description:
If one Spark Application need to access remote namenodes,
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Yuechen Chen updated SPARK-20608:
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Description:
If one Spark Application need to access remote namenodes,
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Yuechen Chen updated SPARK-20608:
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Description:
If one Spark Application need to access remote namenodes,
Yuechen Chen created SPARK-20608:
Summary: Standby namenodes should be allowed to included in
yarn.spark.access.namenodes to support HDFS HA
Key: SPARK-20608
URL: https://issues.apache.org/jira/browse/SPARK-20608
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https://issues.apache.org/jira/browse/SPARK-19894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15904621#comment-15904621
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Yuechen Chen commented on SPARK-19894:
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https://github.com/apache/spark/pull/17238
> Tasks entirely
Yuechen Chen created SPARK-19894:
Summary: Tasks entirely assigned to one executor on Yarn-cluster
mode for default-rack
Key: SPARK-19894
URL: https://issues.apache.org/jira/browse/SPARK-19894
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