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Apache Spark commented on SPARK-15748:
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User 'JoshRosen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-14959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-14959.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13463
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Cheng Lian updated SPARK-14959:
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Assignee: Xin Wu
> Problem Reading partitioned ORC or Parquet files
>
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Apache Spark reassigned SPARK-15748:
Assignee: Josh Rosen (was: Apache Spark)
> Replace inefficient foldLeft() call in
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Apache Spark reassigned SPARK-15748:
Assignee: Apache Spark (was: Josh Rosen)
> Replace inefficient foldLeft() call in
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https://issues.apache.org/jira/browse/SPARK-14146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313618#comment-15313618
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Prashant Sharma commented on SPARK-14146:
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Thanks for the reproducers, I am looking into it.
>
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Cheng Lian resolved SPARK-15733.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13470
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Cheng Lian updated SPARK-15733:
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Assignee: Sean Zhong
> Makes the explain output less verbose by hiding some verbose output like
>
Josh Rosen created SPARK-15748:
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Summary: Replace inefficient foldLeft() call in PartitionStatistics
Key: SPARK-15748
URL: https://issues.apache.org/jira/browse/SPARK-15748
Project: Spark
Issue
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Terry Moschou updated SPARK-15747:
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Description: Feature request to automatically source all files in
Terry Moschou created SPARK-15747:
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Summary: Support SPARK_CONF_DIR/spark-defaults.d/*.conf drop-in
style config files
Key: SPARK-15747
URL: https://issues.apache.org/jira/browse/SPARK-15747
Project:
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https://issues.apache.org/jira/browse/SPARK-15724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-15724:
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Assignee: Eric Liang
> Add benchmarks for performance over wide schemas
>
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Josh Rosen resolved SPARK-15724.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13456
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Brett Randall commented on SPARK-15723:
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Yes the fix is to the test only.
I looked at where
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Nick Pentreath updated SPARK-15746:
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Summary: SchemaUtils.checkColumnType with VectorUDT prints instance details
in error message
Nick Pentreath created SPARK-15746:
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Summary: SchemaUtils.checkColumnType with VectorUDT prints
instance details
Key: SPARK-15746
URL: https://issues.apache.org/jira/browse/SPARK-15746
Project:
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https://issues.apache.org/jira/browse/SPARK-15722?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313438#comment-15313438
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Apache Spark commented on SPARK-15722:
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User 'andrewor14' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15732?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-15732.
Resolution: Fixed
Fix Version/s: 2.0.0
Resolved by
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Cheng Lian updated SPARK-15732:
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Assignee: Wenchen Fan
> Dataset generated code "generated.java" Fails with Certain Case Classes
>
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Apache Spark reassigned SPARK-15723:
Assignee: Apache Spark
> SimpleDateParamSuite test is locale-fragile and relies on
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Apache Spark reassigned SPARK-15723:
Assignee: (was: Apache Spark)
> SimpleDateParamSuite test is locale-fragile and
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Apache Spark commented on SPARK-15723:
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User 'javabrett' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15745:
Assignee: Apache Spark
> Use classloader's getResource() for reading resource files in
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Apache Spark commented on SPARK-15745:
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User 'sameeragarwal' has created a pull request for this
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Apache Spark reassigned SPARK-15745:
Assignee: (was: Apache Spark)
> Use classloader's getResource() for reading resource
Sameer Agarwal created SPARK-15745:
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Summary: Use classloader's getResource() for reading resource
files in HiveTests
Key: SPARK-15745
URL: https://issues.apache.org/jira/browse/SPARK-15745
Project:
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https://issues.apache.org/jira/browse/SPARK-15736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-15736.
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Resolution: Fixed
Fix Version/s: 2.0.0
1.6.2
> Gracefully handle loss of
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Apache Spark reassigned SPARK-15744:
Assignee: (was: Apache Spark)
> Rename two TungstenAggregation*Suites and update
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Apache Spark commented on SPARK-15744:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-15744:
Assignee: Apache Spark
> Rename two TungstenAggregation*Suites and update error
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https://issues.apache.org/jira/browse/SPARK-13868?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313400#comment-15313400
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Xusen Yin edited comment on SPARK-13868 at 6/3/16 12:40 AM:
[~josephkb]
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Andrew Or resolved SPARK-15718.
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Resolution: Fixed
Fix Version/s: 2.0.0
> better error message for writing bucketing data
>
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Dongjoon Hyun updated SPARK-15744:
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Description:
For consistency, this issue updates some remaining
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Xusen Yin commented on SPARK-13868:
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[~josephkb] [~tanwanirahul] Here is what I found:
1. Dataset
Dongjoon Hyun created SPARK-15744:
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Summary: Rename two TungstenAggregation*Suites and update error
messages/comments
Key: SPARK-15744
URL: https://issues.apache.org/jira/browse/SPARK-15744
Project:
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https://issues.apache.org/jira/browse/SPARK-15743?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15743:
Assignee: (was: Apache Spark)
> Prevent saving with all-column partitioning
>
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Apache Spark commented on SPARK-15743:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-15743:
Assignee: Apache Spark
> Prevent saving with all-column partitioning
>
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https://issues.apache.org/jira/browse/SPARK-15741?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313376#comment-15313376
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Bryan Cutler commented on SPARK-15741:
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>From what I gathered, explicitly setting a seed to {{None}}
Dongjoon Hyun created SPARK-15743:
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Summary: Prevent saving with all-column partitioning
Key: SPARK-15743
URL: https://issues.apache.org/jira/browse/SPARK-15743
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15732?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15732:
Assignee: Apache Spark
> Dataset generated code "generated.java" Fails with Certain Case
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Apache Spark reassigned SPARK-15732:
Assignee: (was: Apache Spark)
> Dataset generated code "generated.java" Fails with
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https://issues.apache.org/jira/browse/SPARK-15742?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313355#comment-15313355
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Apache Spark commented on SPARK-15742:
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User 'JoshRosen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15742:
Assignee: Josh Rosen (was: Apache Spark)
> Reduce collections allocations in Catalyst
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Apache Spark reassigned SPARK-15742:
Assignee: Apache Spark (was: Josh Rosen)
> Reduce collections allocations in Catalyst
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Apache Spark commented on SPARK-15732:
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User 'cloud-fan' has created a pull request for this issue:
Josh Rosen created SPARK-15742:
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Summary: Reduce collections allocations in Catalyst tree
transformation methods
Key: SPARK-15742
URL: https://issues.apache.org/jira/browse/SPARK-15742
Project: Spark
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Reynold Xin commented on SPARK-15732:
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Yea we definitely should put a better error message for 2.0.
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Bryan Cutler closed SPARK-15741.
Resolution: Invalid
Looks like I jumped the gun here, None values are not ignored and seems like
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Wenchen Fan commented on SPARK-15732:
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It's really hard to support it, and I don't think this corner
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Nick Pentreath resolved SPARK-15668.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13411
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Apache Spark reassigned SPARK-15688:
Assignee: Apache Spark
> RelationalGroupedDataset.toDF should not add group by
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Apache Spark reassigned SPARK-15688:
Assignee: (was: Apache Spark)
> RelationalGroupedDataset.toDF should not add group by
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Apache Spark commented on SPARK-15688:
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User 'dilipbiswal' has created a pull request for this
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Bryan Cutler updated SPARK-15741:
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Issue Type: Improvement (was: Sub-task)
Parent: (was: SPARK-14771)
> PySpark
Bryan Cutler created SPARK-15741:
Summary: PySpark Cleanup of _setDefault with seed=None
Key: SPARK-15741
URL: https://issues.apache.org/jira/browse/SPARK-15741
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-15725?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15725:
Assignee: (was: Apache Spark)
> Dynamic allocation hangs YARN app when executors time
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Apache Spark commented on SPARK-15725:
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User 'rdblue' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15725?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15725:
Assignee: Apache Spark
> Dynamic allocation hangs YARN app when executors time out
>
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Cheng Lian resolved SPARK-15734.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13471
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Nick Pentreath updated SPARK-15139:
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Assignee: holdenk
> PySpark TreeEnsemble missing methods
>
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Cheng Lian resolved SPARK-15719.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13455
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Xin Wu edited comment on SPARK-15705 at 6/2/16 11:15 PM:
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I can recreate it now.
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Xin Wu commented on SPARK-15705:
I can recreate it now. and will look into it.
> Spark won't read ORC
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Nick Pentreath resolved SPARK-15139.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12919
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Nick Pentreath resolved SPARK-15092.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12919
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Bo Meng commented on SPARK-15732:
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There is no easy way to work around this issue since "abstract" is a
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Bryan Cutler commented on SPARK-15623:
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I took another spin through this and linked a couple of
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Apache Spark reassigned SPARK-15738:
Assignee: (was: Apache Spark)
> PySpark ml.feature RFormula missing string
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Apache Spark reassigned SPARK-15738:
Assignee: Apache Spark
> PySpark ml.feature RFormula missing string representation
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Apache Spark commented on SPARK-15738:
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User 'BryanCutler' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-14811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313208#comment-15313208
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Nick Pentreath edited comment on SPARK-14811 at 6/2/16 10:31 PM:
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Nick Pentreath edited comment on SPARK-14811 at 6/2/16 10:31 PM:
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Nick Pentreath commented on SPARK-14811:
Question on this - we seem to be inconsistent with the
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Xiangrui Meng commented on SPARK-15740:
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[~tmnd91] Could you run the test and estimate how much ram
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Xiangrui Meng edited comment on SPARK-15740 at 6/2/16 10:24 PM:
[~tmnd91]
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https://issues.apache.org/jira/browse/SPARK-15736?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313196#comment-15313196
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Apache Spark commented on SPARK-15736:
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User 'JoshRosen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-15736:
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Affects Version/s: 1.6.0
> Gracefully handle loss of DiskStore files
>
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Josh Rosen updated SPARK-15736:
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Target Version/s: 1.6.2, 2.0.0 (was: 2.0.0)
> Gracefully handle loss of DiskStore files
>
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Apache Spark reassigned SPARK-15740:
Assignee: (was: Apache Spark)
> Word2VecSuite "big model load / save" caused OOM in
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Apache Spark commented on SPARK-15740:
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User 'mengxr' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15740?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15740:
Assignee: Apache Spark
> Word2VecSuite "big model load / save" caused OOM in maven
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https://issues.apache.org/jira/browse/SPARK-15710?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313193#comment-15313193
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Xin Wu commented on SPARK-15710:
hmm.. after another rebase of the master. it seems that the problem is
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Xiangrui Meng updated SPARK-15740:
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Description:
[~andrewor14] noticed some OOM errors caused by "test big model load / save" in
Xiangrui Meng created SPARK-15740:
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Summary: Word2VecSuite "big model load / save" caused OOM in maven
jenkins builds
Key: SPARK-15740
URL: https://issues.apache.org/jira/browse/SPARK-15740
Project:
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https://issues.apache.org/jira/browse/SPARK-15739?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313188#comment-15313188
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Apache Spark commented on SPARK-15739:
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User 'adeandrade' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15739:
Assignee: Apache Spark
> Expose aggregateMessagesWithActiveSet to users.
>
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Apache Spark reassigned SPARK-15739:
Assignee: (was: Apache Spark)
> Expose aggregateMessagesWithActiveSet to users.
>
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Anderson de Andrade updated SPARK-15739:
Description:
The current version of Pregel has some flaws:
* Each iteration
Anderson de Andrade created SPARK-15739:
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Summary: Expose aggregateMessagesWithActiveSet to users.
Key: SPARK-15739
URL: https://issues.apache.org/jira/browse/SPARK-15739
Project: Spark
Bryan Cutler created SPARK-15738:
Summary: PySpark ml.feature RFormula missing string representation
displaying formula
Key: SPARK-15738
URL: https://issues.apache.org/jira/browse/SPARK-15738
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https://issues.apache.org/jira/browse/SPARK-15716?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yan Chen updated SPARK-15716:
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Summary: Memory usage of driver keeps growing up in Spark Streaming (was:
Memory usage of driver keep
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Yan Chen edited comment on SPARK-15716 at 6/2/16 9:59 PM:
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I tried to run it
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Yan Chen updated SPARK-15716:
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Summary: Memory usage of driver keep growing up in Spark Streaming (was:
Memory usage keep growing up
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https://issues.apache.org/jira/browse/SPARK-15716?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15312450#comment-15312450
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Yan Chen edited comment on SPARK-15716 at 6/2/16 9:58 PM:
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We actually ran jmap
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Yan Chen edited comment on SPARK-15716 at 6/2/16 9:57 PM:
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I tried to run it
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https://issues.apache.org/jira/browse/SPARK-15716?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15313116#comment-15313116
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Yan Chen edited comment on SPARK-15716 at 6/2/16 9:51 PM:
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I tried to run it
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Yan Chen edited comment on SPARK-15716 at 6/2/16 9:45 PM:
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I tried to run it
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https://issues.apache.org/jira/browse/SPARK-15722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-15722:
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Comment: was deleted
(was: User 'andrewor14' has created a pull request for this issue:
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Yan Chen updated SPARK-15716:
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Description:
Code:
{code:java}
import org.apache.hadoop.io.LongWritable;
import
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