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Apache Spark reassigned SPARK-12075:
Assignee: Josh Rosen (was: Apache Spark)
> Speed up HiveComparisionTest suites by
Davies Liu created SPARK-12077:
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Summary: Use more robust plan for single distinct aggregation
Key: SPARK-12077
URL: https://issues.apache.org/jira/browse/SPARK-12077
Project: Spark
Issue Type:
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Marcelo Vanzin commented on SPARK-11801:
So, how much does this really help? A quick read of the
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Apache Spark reassigned SPARK-12079:
Assignee: Josh Rosen (was: Apache Spark)
> Run Catalyst subproject's tests in parallel
>
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Apache Spark commented on SPARK-12079:
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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-12002?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034549#comment-15034549
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Apache Spark commented on SPARK-12002:
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User 'zsxwing' has created a pull request for this issue:
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Thomas Graves reassigned SPARK-11701:
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Assignee: Thomas Graves
> YARN - dynamic allocation and speculation active task
Rotem created SPARK-12080:
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Summary: Kryo - Support multiple user registrators
Key: SPARK-12080
URL: https://issues.apache.org/jira/browse/SPARK-12080
Project: Spark
Issue Type: Improvement
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Rotem updated SPARK-12080:
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Target Version/s: (was: 1.6.1)
> Kryo - Support multiple user registrators
>
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Rotem updated SPARK-12080:
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Affects Version/s: 1.6.1
> Kryo - Support multiple user registrators
>
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Apache Spark reassigned SPARK-11352:
Assignee: (was: Apache Spark)
> codegen.GeneratePredicate fails due to unquoted
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Apache Spark reassigned SPARK-11352:
Assignee: Apache Spark
> codegen.GeneratePredicate fails due to unquoted comment
>
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Yin Huai resolved SPARK-12030.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 10068
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holdenk commented on SPARK-12071:
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Seems like this could be a great starter issue if anyone is
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Joseph K. Bradley commented on SPARK-11605:
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I just checked, and you're right about it being a
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holdenk commented on SPARK-12072:
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Around what # of attrs are you seeing failures at? Do you think we
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Felix Cheung commented on SPARK-11886:
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{code}
> library(dplyr)
> library(SparkR,
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Apache Spark reassigned SPARK-12079:
Assignee: Apache Spark (was: Josh Rosen)
> Run Catalyst subproject's tests in parallel
>
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Joseph K. Bradley commented on SPARK-11605:
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Oops, yes, those should have been private. I
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holdenk commented on SPARK-12073:
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Could you add a link to the PR in your fork?
> Backpressure causes
Shixiong Zhu created SPARK-12078:
Summary: Fix ByteBuffer.limit misuse
Key: SPARK-12078
URL: https://issues.apache.org/jira/browse/SPARK-12078
Project: Spark
Issue Type: Bug
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Josh Rosen updated SPARK-12075:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-9288
> Speed up HiveComparisionTest
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Apache Spark commented on SPARK-11949:
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User 'viirya' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-11604?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034544#comment-15034544
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Joseph K. Bradley commented on SPARK-11604:
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OK, I will resolve it. Thank you for the thorough
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Joseph K. Bradley resolved SPARK-11604.
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Resolution: Fixed
Fix Version/s: 1.6.0
> ML 1.6 QA: API: Python API coverage
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Apache Spark reassigned SPARK-12032:
Assignee: Apache Spark (was: Davies Liu)
> Filter can't be pushed down to correct Join
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Joseph K. Bradley commented on SPARK-11939:
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Also, I'd split this into its own task and make it
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Maciej Bryński commented on SPARK-12030:
Will the fix be included in 1.6.0 ?
> Incorrect results
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Yin Huai commented on SPARK-12055:
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It is very possible that
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Apache Spark commented on SPARK-12000:
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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-11352?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034493#comment-15034493
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Apache Spark commented on SPARK-11352:
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User 'yhuai' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-12015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034570#comment-15034570
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holdenk commented on SPARK-12015:
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This is a duplicate of
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Yin Huai updated SPARK-12030:
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Assignee: Nong Li
> Incorrect results when aggregate joined data
>
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holdenk commented on SPARK-11922:
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I'll start working on this.
> Python API for
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Apache Spark commented on SPARK-12078:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-12078:
Assignee: (was: Apache Spark)
> Fix ByteBuffer.limit misuse
>
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Apache Spark reassigned SPARK-12078:
Assignee: Apache Spark
> Fix ByteBuffer.limit misuse
> ---
>
>
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Thomas Graves commented on SPARK-11701:
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The same issue existing with dynamic allocation in 1.6.
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Apache Spark reassigned SPARK-12080:
Assignee: (was: Apache Spark)
> Kryo - Support multiple user registrators
>
Andrew Or created SPARK-12081:
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Summary: Make unified memory management work with small heaps
Key: SPARK-12081
URL: https://issues.apache.org/jira/browse/SPARK-12081
Project: Spark
Issue Type:
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Joseph K. Bradley commented on SPARK-11964:
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I agree; I think it'd be good to put at the bottom
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Davies Liu commented on SPARK-12077:
https://github.com/apache/spark/pull/10075
> Use more robust
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Apache Spark commented on SPARK-10277:
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User 'davies' has created a pull request for this issue:
Josh Rosen created SPARK-12079:
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Summary: Run Catalyst subproject's tests in parallel
Key: SPARK-12079
URL: https://issues.apache.org/jira/browse/SPARK-12079
Project: Spark
Issue Type: Sub-task
Paul Zaczkieiwcz created SPARK-12076:
Summary: countDistinct behaves inconsistently
Key: SPARK-12076
URL: https://issues.apache.org/jira/browse/SPARK-12076
Project: Spark
Issue Type: Bug
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Joseph K. Bradley commented on SPARK-11939:
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* save for Estimator/Transformer: I agree.
* load
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Davies Liu commented on SPARK-12030:
I also figured out the root cause last night, that's an
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swetha k commented on SPARK-5968:
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[~lian cheng]
Following are the dependencies and the versions that I
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Thomas Graves commented on SPARK-11701:
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So it looks like this is a race condition. If the task end
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swetha k commented on SPARK-11620:
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[~hyukjin.kwon]
I have the following code that saves the parquet
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Yin Huai commented on SPARK-12030:
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Yes, it will be in 1.6.0.
> Incorrect results when aggregate joined
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swetha k edited comment on SPARK-11620 at 12/1/15 9:50 PM:
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[~hyukjin.kwon]
I
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Bill Chambers edited comment on SPARK-11964 at 12/1/15 8:27 PM:
Happy to
Josh Rosen created SPARK-12075:
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Summary: Speed up HiveComparisionTest suites by speeding up /
avoiding reset()
Key: SPARK-12075
URL: https://issues.apache.org/jira/browse/SPARK-12075
Project: Spark
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Apache Spark reassigned SPARK-12075:
Assignee: Apache Spark (was: Josh Rosen)
> Speed up HiveComparisionTest suites by
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Apache Spark commented on SPARK-12075:
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User 'JoshRosen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-12032:
Assignee: Davies Liu (was: Apache Spark)
> Filter can't be pushed down to correct Join
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Apache Spark commented on SPARK-12032:
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User 'davies' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-6830?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034635#comment-15034635
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Davies Liu commented on SPARK-6830:
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+1
> Memoize frequently queried vals in RDD, such as
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Apache Spark commented on SPARK-12080:
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User 'Botnaim' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-11596?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-11596:
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Target Version/s: 1.6.0
> SQL execution very slow for nested query plans because of
>
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Apache Spark commented on SPARK-11596:
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User 'yhuai' has created a pull request for this issue:
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Apache Spark reassigned SPARK-11596:
Assignee: Apache Spark
> SQL execution very slow for nested query plans because of
>
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Apache Spark reassigned SPARK-11596:
Assignee: (was: Apache Spark)
> SQL execution very slow for nested query plans
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Yin Huai resolved SPARK-11788.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9872
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Yin Huai updated SPARK-11788:
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Assignee: Huaxin Gao
> Using java.sql.Timestamp and java.sql.Date in where clauses on JDBC
> dataframes
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Yin Huai resolved SPARK-12055.
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Resolution: Duplicate
Assignee: Nong Li
> TimSort failing with error when writing a partitioned
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Yin Huai commented on SPARK-12055:
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We have done some tests. Looks like
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Xiangrui Meng updated SPARK-12000:
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Fix Version/s: (was: 1.6.0)
> `sbt publishLocal` hits a Scala compiler bug caused by
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Seth Hendrickson commented on SPARK-7131:
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[~josephkb] Numbers two and three on the list above are
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Xiangrui Meng reopened SPARK-12000:
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> `sbt publishLocal` hits a Scala compiler bug caused by `Since` annotation
>
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Yin Huai resolved SPARK-11328.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 10080
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Reynold Xin resolved SPARK-12075.
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Resolution: Fixed
Fix Version/s: 1.6.0
> Speed up HiveComparisionTest suites by speeding
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Michael Armbrust commented on SPARK-11873:
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We did a lot of performance work in Spark 1.6 (e.g.,
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Yin Huai updated SPARK-11328:
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Summary: Provide more informative error message when direct parquet output
committer is used and there
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Mridul Muralidharan commented on SPARK-11801:
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There are few aspects here :
a) A race
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Mridul Muralidharan edited comment on SPARK-11801 at 12/2/15 12:01 AM:
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Michael Armbrust updated SPARK-12061:
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Target Version/s: 1.7.0
> Persist for Map/filter with Lambda Functions don't always read
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Michael Armbrust updated SPARK-12061:
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Issue Type: Bug (was: Improvement)
> [SQL] Dataset API: Adding Persist for Map/filter
Shixiong Zhu created SPARK-12084:
Summary: Fix codes that uses ByteBuffer.array incorrectly
Key: SPARK-12084
URL: https://issues.apache.org/jira/browse/SPARK-12084
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-10911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034776#comment-15034776
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Marcelo Vanzin commented on SPARK-10911:
So, one thing that I still haven't understood is: why
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Imran Rashid commented on SPARK-11801:
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This surprised me too, but [~vsr] reported (offline) that
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Bryan Cutler commented on SPARK-11928:
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I was able to reproduce the {{RejectedExecutionException}},
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Marcelo Vanzin commented on SPARK-11801:
bq. But like I said earlier, I'm OK with generic
Dileep Kumar created SPARK-12083:
Summary: java.lang.IllegalArgumentException: requirement failed:
Overflowed precision (q98)
Key: SPARK-12083
URL: https://issues.apache.org/jira/browse/SPARK-12083
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Michael Armbrust updated SPARK-12000:
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Priority: Blocker (was: Major)
> `sbt publishLocal` hits a Scala compiler bug caused by
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Michael Armbrust updated SPARK-11932:
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Priority: Critical (was: Blocker)
> trackStateByKey throws
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Michael Armbrust resolved SPARK-11503.
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Resolution: Fixed
Fix Version/s: 1.6.0
> SQL API audit for Spark 1.6
>
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https://issues.apache.org/jira/browse/SPARK-12030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034936#comment-15034936
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Yin Huai commented on SPARK-12030:
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I also merged the patch to branch 1.5. Please note that, in 1.5, we
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https://issues.apache.org/jira/browse/SPARK-11713?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-11713:
Assignee: Apache Spark
> Initial RDD for updateStateByKey for pyspark
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https://issues.apache.org/jira/browse/SPARK-11713?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-11713:
Assignee: (was: Apache Spark)
> Initial RDD for updateStateByKey for pyspark
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https://issues.apache.org/jira/browse/SPARK-11713?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034940#comment-15034940
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Apache Spark commented on SPARK-11713:
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User 'BryanCutler' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-12059?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034997#comment-15034997
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Saisai Shao edited comment on SPARK-12059 at 12/2/15 12:47 AM:
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A simple
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https://issues.apache.org/jira/browse/SPARK-12059?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034997#comment-15034997
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Saisai Shao commented on SPARK-12059:
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A simple solution is to loose the condition or remove the
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https://issues.apache.org/jira/browse/SPARK-12080?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12080:
Assignee: Apache Spark
> Kryo - Support multiple user registrators
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https://issues.apache.org/jira/browse/SPARK-10969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15034820#comment-15034820
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Brian London commented on SPARK-10969:
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Was this fixed with
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https://issues.apache.org/jira/browse/SPARK-11961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-11961.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9965
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https://issues.apache.org/jira/browse/SPARK-11780?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11780:
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Assignee: Santiago M. Mola
> Provide type aliases in org.apache.spark.sql.types for
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https://issues.apache.org/jira/browse/SPARK-11788?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-11788:
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Fix Version/s: 1.5.3
> Using java.sql.Timestamp and java.sql.Date in where clauses on JDBC
> dataframes
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https://issues.apache.org/jira/browse/SPARK-11596?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-11596:
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Assignee: Yin Huai
> SQL execution very slow for nested query plans because of
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