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Apache Spark reassigned SPARK-17167:
Assignee: (was: Apache Spark)
> Issue Exceptions when Analyze Table on In-Memory Catal
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Apache Spark commented on SPARK-17167:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-17167:
Assignee: Apache Spark
> Issue Exceptions when Analyze Table on In-Memory Cataloged Tables
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https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15429280#comment-15429280
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Apache Spark commented on SPARK-16961:
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User 'yanboliang' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-17148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15429282#comment-15429282
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cen yuhai commented on SPARK-17148:
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I don't know the root cause right now, I can't und
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Herman van Hovell commented on SPARK-17164:
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I tried this in Hive enabled Spark
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Herman van Hovell edited comment on SPARK-17164 at 8/20/16 11:13 AM:
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Apache Spark commented on SPARK-17159:
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User 'steveloughran' has created a pull requ
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Apache Spark reassigned SPARK-17159:
Assignee: Apache Spark
> Improve FileInputDStream.findNewFiles list performance
>
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Apache Spark reassigned SPARK-17159:
Assignee: (was: Apache Spark)
> Improve FileInputDStream.findNewFiles list performance
Mathieu D created SPARK-17168:
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Summary: CSV with header is incorrectly read if file is partitioned
Key: SPARK-17168
URL: https://issues.apache.org/jira/browse/SPARK-17168
Project: Spark
Issue Ty
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Sean Owen commented on SPARK-17086:
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Yeah sounds good -- feel free to make a PR.
> Qua
Qian Huang created SPARK-17169:
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Summary: To use scala macros to update code when
SharedParamsCodeGen.scala changed
Key: SPARK-17169
URL: https://issues.apache.org/jira/browse/SPARK-17169
Project: Spark
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Sean Owen updated SPARK-16320:
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Assignee: Sean Owen
Priority: Minor (was: Critical)
Component/s: Documentation
Issue
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Apache Spark commented on SPARK-16320:
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User 'srowen' has created a pull request for
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Sean Owen updated SPARK-17046:
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Affects Version/s: (was: 2.1.0)
Priority: Minor (was: Major)
> prevent user using dat
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Sean Owen resolved SPARK-17046.
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Resolution: Won't Fix
> prevent user using dataframe.select with empty param list
> -
Patrick Woody created SPARK-17170:
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Summary: Enable whole partition pruning for InMemoryTableScanExec
Key: SPARK-17170
URL: https://issues.apache.org/jira/browse/SPARK-17170
Project: Spark
Is
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Apache Spark reassigned SPARK-17170:
Assignee: (was: Apache Spark)
> Enable whole partition pruning for InMemoryTableScanEx
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Apache Spark reassigned SPARK-17170:
Assignee: Apache Spark
> Enable whole partition pruning for InMemoryTableScanExec
> --
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Apache Spark commented on SPARK-17170:
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User 'pwoody' has created a pull request for
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Apache Spark commented on SPARK-16508:
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User 'felixcheung' has created a pull reques
cen yuhai created SPARK-17171:
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Summary: DAG will list all partitions in the graph
Key: SPARK-17171
URL: https://issues.apache.org/jira/browse/SPARK-17171
Project: Spark
Issue Type: Bug
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cen yuhai updated SPARK-17171:
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Attachment: dag2.png
dag1.png
> DAG will list all partitions in the graph
> ---
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cen yuhai updated SPARK-17171:
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Description:
When querying data from a partitioned table, DAG will list all partitions in
the graph.It
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cen yuhai updated SPARK-17171:
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Description:
When querying data from a partitioned table, DAG will list all partitions in
the graph.It
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Wenchen Fan updated SPARK-17104:
Assignee: Liang-Chi Hsieh
> LogicalRelation.newInstance should follow the semantics of
> MultiInst
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Wenchen Fan resolved SPARK-17104.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull req
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Takeshi Yamamuro commented on SPARK-17168:
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Why is having a header in each part
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Wenchen Fan updated SPARK-17124:
Assignee: Peter Lee
> RelationalGroupedDataset.agg should be order preserving and allow duplicate
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Wenchen Fan resolved SPARK-17124.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull req
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Sean Owen updated SPARK-17171:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
> DAG will list all partitions
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Mathieu D commented on SPARK-17168:
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This is error-prone, because the scenario I show w
Andrew Davidson created SPARK-17172:
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Summary: pyspak hiveContext can not create UDF: Py4JJavaError: An
error occurred while calling None.org.apache.spark.sql.hive.HiveContext.
Key: SPARK-17172
URL: https://iss
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Andrew Davidson commented on SPARK-17172:
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related bug report : https://issues.ap
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Andrew Davidson commented on SPARK-17172:
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attached a notebook that demonstrates
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Andrew Davidson updated SPARK-17172:
Attachment: hiveUDFBug.ipynb
hiveUDFBug.html
> pyspak hiveContext can not c
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Seth Hendrickson commented on SPARK-17163:
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Just to sum up some key points:
1.
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Apache Spark reassigned SPARK-17024:
Assignee: Apache Spark
> Weird behaviour of the DataFrame when a column name contains dots
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Apache Spark reassigned SPARK-17024:
Assignee: (was: Apache Spark)
> Weird behaviour of the DataFrame when a column name co
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https://issues.apache.org/jira/browse/SPARK-17024?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15429500#comment-15429500
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Apache Spark commented on SPARK-17024:
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User 'izeigerman' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-12666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-12666:
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Assignee: Bryan Cutler
> spark-shell --packages cannot load artifacts which are publishLocal'd by SBT
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Josh Rosen resolved SPARK-12666.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Fixed for 2.0.1 and 2.1.0 by
Felix Cheung created SPARK-17173:
Summary: Refactor R mllib for easier ml implementations
Key: SPARK-17173
URL: https://issues.apache.org/jira/browse/SPARK-17173
Project: Spark
Issue Type: Im
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Apache Spark reassigned SPARK-17173:
Assignee: (was: Apache Spark)
> Refactor R mllib for easier ml implementations
> -
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Apache Spark commented on SPARK-17173:
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User 'felixcheung' has created a pull reques
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Apache Spark reassigned SPARK-17173:
Assignee: Apache Spark
> Refactor R mllib for easier ml implementations
>
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https://issues.apache.org/jira/browse/SPARK-17090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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DB Tsai resolved SPARK-17090.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14717
[https://github.com/ap
Amit Baghel created SPARK-17174:
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Summary: Provide support for Timestamp type Column in add_months
function to return HH:mm:ss
Key: SPARK-17174
URL: https://issues.apache.org/jira/browse/SPARK-17174
Pro
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Apache Spark commented on SPARK-17171:
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User 'cenyuhai' has created a pull request f
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Apache Spark reassigned SPARK-17171:
Assignee: (was: Apache Spark)
> DAG will list all partitions in the graph
> --
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Apache Spark reassigned SPARK-17171:
Assignee: Apache Spark
> DAG will list all partitions in the graph
> -
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Amit Baghel updated SPARK-17174:
Description:
add_months function currently supports Date types. If Column is Timestamp type
then i
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Amit Baghel updated SPARK-17174:
Description:
add_months function currently supports Date types. If Column is Timestamp type
then i
Qian Huang created SPARK-17175:
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Summary: Add a expert formula as default value to aggregationDepth
of SharedParam
Key: SPARK-17175
URL: https://issues.apache.org/jira/browse/SPARK-17175
Project: Spark
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Qian Huang updated SPARK-17175:
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Summary: Add a expert formula to aggregationDepth of SharedParam (was: Add
a expert formula as defau
cen yuhai created SPARK-17176:
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Summary: Task are sorted by "Index" in Stage Page.
Key: SPARK-17176
URL: https://issues.apache.org/jira/browse/SPARK-17176
Project: Spark
Issue Type: Improvement
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