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Davies Liu resolved SPARK-8461.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 6898
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https://issues.apache.org/jira/browse/SPARK-8320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-8320.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 6862
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https://issues.apache.org/jira/browse/SPARK-8432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-8432:
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Assignee: Davies Liu
Fix hashCode and equals() of BinaryType in Row
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https://issues.apache.org/jira/browse/SPARK-8431?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14592264#comment-14592264
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Davies Liu commented on SPARK-8431:
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In Python, we convert the list into JavaList, then
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https://issues.apache.org/jira/browse/SPARK-6813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14591315#comment-14591315
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Davies Liu commented on SPARK-6813:
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The lint tools is only used by Jenkins (or
Davies Liu created SPARK-8432:
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Summary: Fix hashCode and equals() of BinaryType in Row
Key: SPARK-8432
URL: https://issues.apache.org/jira/browse/SPARK-8432
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-6390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-6390.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 6354
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https://issues.apache.org/jira/browse/SPARK-7605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7605.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 6346
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https://issues.apache.org/jira/browse/SPARK-7199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7199.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 5984
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https://issues.apache.org/jira/browse/SPARK-8348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-8348:
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Component/s: SparkR
Add in operator to DataFrame Column
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Davies Liu created SPARK-8346:
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Summary: User InternalRow instread of catalyst.InternalRow
Key: SPARK-8346
URL: https://issues.apache.org/jira/browse/SPARK-8346
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-8346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-8346:
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Summary: Use InternalRow instread of catalyst.InternalRow (was: User
InternalRow instread of
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https://issues.apache.org/jira/browse/SPARK-8307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-8307:
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Summary: Improve timestamp from parquet (was: Improve timestamp from
parquet/hive)
Improve timestamp
Davies Liu created SPARK-8307:
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Summary: Improve timestamp from parquet/hive
Key: SPARK-8307
URL: https://issues.apache.org/jira/browse/SPARK-8307
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-6419?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14580900#comment-14580900
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Davies Liu commented on SPARK-6419:
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Fixed by SPARK-7956
GenerateOrdering does not
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https://issues.apache.org/jira/browse/SPARK-7186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-7186:
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Assignee: Davies Liu
Decouple internal Row from external Row
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Davies Liu resolved SPARK-6419.
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Resolution: Fixed
Fix Version/s: 1.5.0
GenerateOrdering does not support BinaryType and
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https://issues.apache.org/jira/browse/SPARK-7814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7814.
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Resolution: Duplicate
Fix Version/s: 1.5.0
Turn code generation on by default
Davies Liu created SPARK-8305:
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Summary: Improve codegen
Key: SPARK-8305
URL: https://issues.apache.org/jira/browse/SPARK-8305
Project: Spark
Issue Type: Bug
Components: SQL
Davies Liu created SPARK-8202:
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Summary: PySpark: infinite loop during external sort
Key: SPARK-8202
URL: https://issues.apache.org/jira/browse/SPARK-8202
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-8202?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14578425#comment-14578425
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Davies Liu commented on SPARK-8202:
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Workaround: increase the number of partitions
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https://issues.apache.org/jira/browse/SPARK-8144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14576081#comment-14576081
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Davies Liu commented on SPARK-8144:
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We could do something, but it will be tricky,
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https://issues.apache.org/jira/browse/SPARK-8071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14575877#comment-14575877
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Davies Liu commented on SPARK-8071:
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I think It may be related to JDK 8 (we didn't test
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Davies Liu commented on SPARK-8144:
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[~josephkb] It's not a typo, it's correct. Could
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Davies Liu commented on SPARK-8071:
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It failed in Scala side, cc [~rxin]
Run PySpark
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Davies Liu reassigned SPARK-6419:
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Assignee: Davies Liu
GenerateOrdering does not support BinaryType and complex types.
Davies Liu created SPARK-8117:
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Summary: Push codegen into Expression
Key: SPARK-8117
URL: https://issues.apache.org/jira/browse/SPARK-8117
Project: Spark
Issue Type: Bug
Components:
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https://issues.apache.org/jira/browse/SPARK-7184?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-7184:
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Assignee: Davies Liu
Investigate turning codegen on by default
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Davies Liu resolved SPARK-7956.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 6479
Davies Liu created SPARK-8070:
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Summary: Improve createDataFrame in Python
Key: SPARK-8070
URL: https://issues.apache.org/jira/browse/SPARK-8070
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-7899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7899:
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Fix Version/s: 1.4.0
PySpark sql/tests breaks pylint validation
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https://issues.apache.org/jira/browse/SPARK-7899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7899:
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Fix Version/s: (was: 1.5.0)
PySpark sql/tests breaks pylint validation
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https://issues.apache.org/jira/browse/SPARK-7899?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14569458#comment-14569458
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Davies Liu commented on SPARK-7899:
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I had done it yesterday.
PySpark sql/tests breaks
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Davies Liu reassigned SPARK-6917:
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Assignee: Davies Liu (was: Yin Huai)
Broken data returned to PySpark dataframe if any large
Davies Liu created SPARK-7978:
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Summary: DecimalType should not be singleton
Key: SPARK-7978
URL: https://issues.apache.org/jira/browse/SPARK-7978
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-7954?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7954.
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Resolution: Fixed
Fix Version/s: 1.4.1
1.6.0
Issue resolved by pull request
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https://issues.apache.org/jira/browse/SPARK-7954?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7954:
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Fix Version/s: (was: 1.6.0)
1.5.0
Implicitly create SparkContext in
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https://issues.apache.org/jira/browse/SPARK-7899?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7899.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 6439
Davies Liu created SPARK-7956:
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Summary: Use Janino to compile SQL expression
Key: SPARK-7956
URL: https://issues.apache.org/jira/browse/SPARK-7956
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-7956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7956:
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Description:
The overhead of current implementation of codegen is to high (100ms - 500ms),
which
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https://issues.apache.org/jira/browse/SPARK-7956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7956:
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Description:
The overhead of current implementation of codegen is to high (50ms - 500ms),
which blocks
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https://issues.apache.org/jira/browse/SPARK-7909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14563352#comment-14563352
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Davies Liu commented on SPARK-7909:
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[~meawoppl] It's true that some tools don't work
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https://issues.apache.org/jira/browse/SPARK-7908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7908.
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Resolution: Duplicate
PySpark Streaming tests are flaky.
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Davies Liu updated SPARK-7806:
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Assignee: (was: Davies Liu)
spark-ec2 launch script fails for Python3
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https://issues.apache.org/jira/browse/SPARK-7806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-7806:
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Assignee: Davies Liu
spark-ec2 launch script fails for Python3
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https://issues.apache.org/jira/browse/SPARK-7339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7339.
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Resolution: Fixed
Fix Version/s: 1.4.0
PySpark shuffle spill memory sometimes are not correct
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https://issues.apache.org/jira/browse/SPARK-7339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7339:
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Assignee: Weizhong
PySpark shuffle spill memory sometimes are not correct
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https://issues.apache.org/jira/browse/SPARK-5090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-5090.
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Resolution: Fixed
Fix Version/s: 1.5.0
Assignee: Gen TANG
The improvement of python
Davies Liu created SPARK-7840:
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Summary: Movie Python DataFrame.insertInto into DataFrameWriter
Key: SPARK-7840
URL: https://issues.apache.org/jira/browse/SPARK-7840
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-7840?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7840.
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Resolution: Fixed
Fix Version/s: 1.4.0
Move Python DataFrame.insertInto into DataFrameWriter
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https://issues.apache.org/jira/browse/SPARK-7840?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7840:
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Summary: Move Python DataFrame.insertInto into DataFrameWriter (was: Movie
Python DataFrame.insertInto
Davies Liu created SPARK-7836:
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Summary: DataFrame.ntile() should only accept Int as parameter
Key: SPARK-7836
URL: https://issues.apache.org/jira/browse/SPARK-7836
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-7624?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-7624.
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Resolution: Fixed
Fix Version/s: 1.3.2
Task scheduler delay is increasing time over time in
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https://issues.apache.org/jira/browse/SPARK-7624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14556962#comment-14556962
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Davies Liu commented on SPARK-7624:
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Had merged into 1.3 branch.
Task scheduler delay
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Davies Liu reassigned SPARK-7822:
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Assignee: Davies Liu
Window function support in Python DataFrame DSL
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https://issues.apache.org/jira/browse/SPARK-6764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14554825#comment-14554825
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Davies Liu commented on SPARK-6764:
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My first question is that, can we use wheel package
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https://issues.apache.org/jira/browse/SPARK-6289?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14555286#comment-14555286
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Davies Liu commented on SPARK-6289:
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This will be fixed by upgrading to Pyrolite 4.6,
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https://issues.apache.org/jira/browse/SPARK-7565?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14553216#comment-14553216
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Davies Liu commented on SPARK-7565:
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[~tailhook] The patch is kind of workaround, it
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Davies Liu reassigned SPARK-7565:
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Assignee: Davies Liu
Broken maps in jsonRDD
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Key:
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https://issues.apache.org/jira/browse/SPARK-7606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-7606:
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Assignee: Davies Liu
Document all PySpark SQL/DataFrame public methods with @since tag
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https://issues.apache.org/jira/browse/SPARK-7783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-7783:
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Assignee: Davies Liu (was: Cheng Hao)
Add rollup and cube support to DataFrame Python DSL
Davies Liu created SPARK-7738:
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Summary: DataFramer reader/writer API in Python
Key: SPARK-7738
URL: https://issues.apache.org/jira/browse/SPARK-7738
Project: Spark
Issue Type: New Feature
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https://issues.apache.org/jira/browse/SPARK-7721?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14551198#comment-14551198
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Davies Liu commented on SPARK-7721:
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There are some tools to generate test coverage for
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https://issues.apache.org/jira/browse/SPARK-7688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14551187#comment-14551187
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Davies Liu edited comment on SPARK-7688 at 5/19/15 8:45 PM:
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https://issues.apache.org/jira/browse/SPARK-7688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14551187#comment-14551187
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Davies Liu commented on SPARK-7688:
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@mengxr, could you work around it, or should be
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Davies Liu commented on SPARK-7606:
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+1 for `versionadded`
Document all PySpark
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https://issues.apache.org/jira/browse/SPARK-6785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-6785:
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Assignee: Davies Liu
DateUtils can not handle date before 1970/01/01 correctly
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https://issues.apache.org/jira/browse/SPARK-6785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-6785:
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Assignee: (was: Christian Tzolov)
DateUtils can not handle date before 1970/01/01 correctly
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https://issues.apache.org/jira/browse/SPARK-6785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-6785:
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Assignee: Christian Tzolov (was: Davies Liu)
DateUtils can not handle date before 1970/01/01
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https://issues.apache.org/jira/browse/SPARK-7688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14547313#comment-14547313
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Davies Liu commented on SPARK-7688:
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It runs fine in my Mac, could you try this?
{code}
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Davies Liu commented on SPARK-6902:
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[~jarfa] Python is a dynamic language, it's not
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https://issues.apache.org/jira/browse/SPARK-6411?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14546463#comment-14546463
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Davies Liu commented on SPARK-6411:
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Since TimestampType in Spark SQL does not support
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Davies Liu edited comment on SPARK-6411 at 5/16/15 1:02 AM:
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https://issues.apache.org/jira/browse/SPARK-6806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-6806:
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Priority: Critical (was: Blocker)
SparkR examples in programming guide
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https://issues.apache.org/jira/browse/SPARK-6917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-6917:
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Priority: Critical (was: Major)
Broken data returned to PySpark dataframe if any large numbers used
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https://issues.apache.org/jira/browse/SPARK-6917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-6917:
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Assignee: Yin Huai (was: Davies Liu)
Broken data returned to PySpark dataframe if any large numbers
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https://issues.apache.org/jira/browse/SPARK-6917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14546160#comment-14546160
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Davies Liu commented on SPARK-6917:
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[~yhuai] It's a bug in SQL or Parquet library:
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Davies Liu edited comment on SPARK-6917 at 5/15/15 8:58 PM:
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https://issues.apache.org/jira/browse/SPARK-7624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14544978#comment-14544978
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Davies Liu commented on SPARK-7624:
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In the context of Spark Streaming, there could be
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https://issues.apache.org/jira/browse/SPARK-6289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-6289:
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Description:
For the DateType, Spark SQL requires a datetime.date in Python. However, if you
collect a
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https://issues.apache.org/jira/browse/SPARK-6289?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14544652#comment-14544652
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Davies Liu commented on SPARK-6289:
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[~mnazario] datetime is a subclass of date, so a
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https://issues.apache.org/jira/browse/SPARK-7624?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-7624:
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Assignee: Davies Liu
Task scheduler delay is increasing time over time in spark local mode
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https://issues.apache.org/jira/browse/SPARK-7624?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14544950#comment-14544950
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Davies Liu commented on SPARK-7624:
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This is introduced by
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Davies Liu commented on SPARK-6289:
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[~mnazario] Is this still a problem after we
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https://issues.apache.org/jira/browse/SPARK-6949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-6949:
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Summary: Support Date/Timestamp in Column expression of DataFrame Python
API (was: Support Date and
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https://issues.apache.org/jira/browse/SPARK-6949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-6949:
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Assignee: Davies Liu
Support Date and Decimal in Column expression of DataFrame Python API
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https://issues.apache.org/jira/browse/SPARK-6668?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu closed SPARK-6668.
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Resolution: Duplicate
Fix Version/s: 1.4.0
repeated asking to remove non-existent executor
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https://issues.apache.org/jira/browse/SPARK-4897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-4897:
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Priority: Blocker (was: Minor)
Python 3 support
Key: SPARK-4897
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https://issues.apache.org/jira/browse/SPARK-6857?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14498593#comment-14498593
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Davies Liu commented on SPARK-6857:
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It's not good that we use array or numpy.array as
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https://issues.apache.org/jira/browse/SPARK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reopened SPARK-6216:
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This merged patch does not work well if you have different major version on
driver or worker.
Check
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https://issues.apache.org/jira/browse/SPARK-6857?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14498414#comment-14498414
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Davies Liu commented on SPARK-6857:
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[~josephkb] Because the serializer do not support
Davies Liu created SPARK-6953:
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Summary: Speedup tests of PySpark, reduce logging
Key: SPARK-6953
URL: https://issues.apache.org/jira/browse/SPARK-6953
Project: Spark
Issue Type: Improvement
Davies Liu created SPARK-6911:
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Summary: API for access MapType in DataFrame
Key: SPARK-6911
URL: https://issues.apache.org/jira/browse/SPARK-6911
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-4897?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14495443#comment-14495443
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Davies Liu commented on SPARK-4897:
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That PR is pretty close to merge, we are targeting
Davies Liu created SPARK-6886:
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Summary: Big closure in PySpark will fail during shuffle
Key: SPARK-6886
URL: https://issues.apache.org/jira/browse/SPARK-6886
Project: Spark
Issue Type: Bug
Davies Liu created SPARK-6890:
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Summary: Local cluster mode in Mac is broken
Key: SPARK-6890
URL: https://issues.apache.org/jira/browse/SPARK-6890
Project: Spark
Issue Type: Bug
Davies Liu created SPARK-6852:
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Summary: Accept numeric as numPartitions in SparkR
Key: SPARK-6852
URL: https://issues.apache.org/jira/browse/SPARK-6852
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-6806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-6806:
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Assignee: Davies Liu
SparkR examples in programming guide
Davies Liu created SPARK-6812:
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Summary: filter() on DataFrame does not work as expected
Key: SPARK-6812
URL: https://issues.apache.org/jira/browse/SPARK-6812
Project: Spark
Issue Type: Bug
Davies Liu created SPARK-6806:
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Summary: SparkR examples in programming guide
Key: SPARK-6806
URL: https://issues.apache.org/jira/browse/SPARK-6806
Project: Spark
Issue Type: New Feature
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