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Apache Spark reassigned SPARK-16813:
Assignee: Reynold Xin (was: Apache Spark)
> Remove private[sql] and private[spark] from
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Apache Spark commented on SPARK-16813:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16813:
Assignee: Apache Spark (was: Reynold Xin)
> Remove private[sql] and private[spark] from
Reynold Xin created SPARK-16813:
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Summary: Remove private[sql] and private[spark] from catalyst
package
Key: SPARK-16813
URL: https://issues.apache.org/jira/browse/SPARK-16813
Project: Spark
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Apache Spark reassigned SPARK-16812:
Assignee: Reynold Xin (was: Apache Spark)
> Open up SparkILoop.getAddedJars
>
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Apache Spark reassigned SPARK-16812:
Assignee: Apache Spark (was: Reynold Xin)
> Open up SparkILoop.getAddedJars
>
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Apache Spark commented on SPARK-16812:
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User 'rxin' has created a pull request for this issue:
Reynold Xin created SPARK-16812:
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Summary: Open up SparkILoop.getAddedJars
Key: SPARK-16812
URL: https://issues.apache.org/jira/browse/SPARK-16812
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-16776:
Assignee: Apache Spark
> Fix Kafka deprecation warnings
> --
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Apache Spark reassigned SPARK-16776:
Assignee: (was: Apache Spark)
> Fix Kafka deprecation warnings
>
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Apache Spark commented on SPARK-16776:
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User 'HyukjinKwon' has created a pull request for this
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Reynold Xin updated SPARK-16732:
Assignee: yucai
> Remove unused codes in subexpressionEliminationForWholeStageCodegen
>
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Reynold Xin resolved SPARK-16732.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Remove unused codes in
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Hyukjin Kwon commented on SPARK-16776:
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Oh, I meant to just leave the warnings but let me do this
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Yin Huai resolved SPARK-16748.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request
BinXu created SPARK-16811:
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Summary: spark streaming-Exception in thread
“submit-job-thread-pool-40”
Key: SPARK-16811
URL: https://issues.apache.org/jira/browse/SPARK-16811
Project: Spark
Issue
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Bryan Jeffrey resolved SPARK-16797.
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Resolution: Fixed
Resolved in Spark 2.0.0
> Repartiton call w/ 0 partitions drops data
>
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Bryan Jeffrey updated SPARK-16797:
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Affects Version/s: (was: 2.0.0)
Fix Version/s: 2.0.0
> Repartiton call w/ 0
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Bryan Jeffrey commented on SPARK-16797:
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I just ran the same thing on Spark 2.0.0 as released, and
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Bryan Jeffrey edited comment on SPARK-16797 at 7/30/16 1:37 AM:
Hello.
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Bryan Jeffrey edited comment on SPARK-16797 at 7/30/16 1:36 AM:
Hello.
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Bryan Jeffrey commented on SPARK-16797:
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Hello. Here is a simple example using Spark 1.6.1:
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Reynold Xin updated SPARK-16802:
Affects Version/s: (was: 2.0.1)
> joins.LongToUnsafeRowMap crashes with
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Reynold Xin updated SPARK-16802:
Priority: Blocker (was: Major)
> joins.LongToUnsafeRowMap crashes with
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Reynold Xin updated SPARK-16802:
Priority: Critical (was: Blocker)
> joins.LongToUnsafeRowMap crashes with
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Reynold Xin updated SPARK-16802:
Target Version/s: 2.0.1, 2.1.0
> joins.LongToUnsafeRowMap crashes with
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Reynold Xin updated SPARK-16804:
Target Version/s: 2.0.1, 2.1.0 (was: 2.0.1)
> Correlated subqueries containing LIMIT return
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Apache Spark commented on SPARK-16810:
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User 'lovexi' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16810:
Assignee: (was: Apache Spark)
> Refactor registerSinks with multiple constructos
>
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Apache Spark reassigned SPARK-16810:
Assignee: Apache Spark
> Refactor registerSinks with multiple constructos
>
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Sylvain Zimmer commented on SPARK-16802:
Maybe useful for others: an ugly workaround to avoid
YangyangLiu created SPARK-16810:
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Summary: Refactor registerSinks with multiple constructos
Key: SPARK-16810
URL: https://issues.apache.org/jira/browse/SPARK-16810
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-16809:
Assignee: Apache Spark
> Link Mesos Dispatcher and History Server
>
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Apache Spark commented on SPARK-16809:
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User 'mgummelt' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16809:
Assignee: (was: Apache Spark)
> Link Mesos Dispatcher and History Server
>
Michael Gummelt created SPARK-16809:
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Summary: Link Mesos Dispatcher and History Server
Key: SPARK-16809
URL: https://issues.apache.org/jira/browse/SPARK-16809
Project: Spark
Issue Type:
Michael Gummelt created SPARK-16808:
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Summary: History Server main page does not honor
APPLICATION_WEB_PROXY_BASE
Key: SPARK-16808
URL: https://issues.apache.org/jira/browse/SPARK-16808
Project:
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Sylvain Zimmer updated SPARK-16807:
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Priority: Minor (was: Major)
> Optimize some ABS() statements
>
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Sylvain Zimmer updated SPARK-16807:
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Description:
I'm not a Catalyst expert, but I think some use cases for the ABS() function
Sylvain Zimmer created SPARK-16807:
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Summary: Optimize some ABS() statements
Key: SPARK-16807
URL: https://issues.apache.org/jira/browse/SPARK-16807
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-1121:
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User 'pwendell' has created a pull request for this issue:
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Nattavut Sutyanyong commented on SPARK-16804:
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To demonstrate that this fix does not
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Sean Owen resolved SPARK-16806.
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Resolution: Duplicate
> from_unixtime function gives wrong answer
>
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Sean Owen resolved SPARK-16794.
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Resolution: Not A Problem
> Spark 2.0.0. with Yarn
> ---
>
>
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Sean Owen reopened SPARK-16794:
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This should not be resolved as Fixed because there was no Spark change
associated to it
> Spark 2.0.0.
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Eliano Marques closed SPARK-16794.
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Resolution: Fixed
> Spark 2.0.0. with Yarn
> ---
>
> Key:
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Dongjoon Hyun commented on SPARK-16806:
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You can see SPARK-16384 , too.
> from_unixtime function
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Dongjoon Hyun edited comment on SPARK-16806 at 7/29/16 10:19 PM:
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Yep.
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Dongjoon Hyun edited comment on SPARK-16806 at 7/29/16 10:18 PM:
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Yep.
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Dongjoon Hyun commented on SPARK-16806:
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Yep. Please use `` instead of ``.
{code}
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Dong Jiang updated SPARK-16806:
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Description:
The following is from 2.0, for the same epoch, the function with format
argument
Dong Jiang created SPARK-16806:
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Summary: from_unixtime function gives wrong answer
Key: SPARK-16806
URL: https://issues.apache.org/jira/browse/SPARK-16806
Project: Spark
Issue Type: Bug
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Nattavut Sutyanyong commented on SPARK-16804:
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This fix blocks any correlated subquery when
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Eliano Marques commented on SPARK-16794:
So I investigated further the issue and turns out that
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Charles Allen edited comment on SPARK-16798 at 7/29/16 10:06 PM:
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Adding
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holdenk commented on SPARK-16779:
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I've gone ahead and done a more full-scope version - leaving the XML
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Charles Allen commented on SPARK-16798:
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Adding some more flavor, this is running in Mesos coarse
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Nattavut Sutyanyong commented on SPARK-16804:
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scala> sql("select c1 from t1 where exists
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Apache Spark commented on SPARK-16805:
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User 'rxin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16805:
Assignee: Apache Spark (was: Reynold Xin)
> Log timezone when query result does not
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Apache Spark reassigned SPARK-16805:
Assignee: Reynold Xin (was: Apache Spark)
> Log timezone when query result does not
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Reynold Xin updated SPARK-16804:
Description:
Correlated subqueries with LIMIT could return incorrect results. The rule
Reynold Xin created SPARK-16805:
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Summary: Log timezone when query result does not match
Key: SPARK-16805
URL: https://issues.apache.org/jira/browse/SPARK-16805
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-16785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15400083#comment-15400083
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Clark Fitzgerald commented on SPARK-16785:
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Yes I can do a PR for this. It may take me a little
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Apache Spark reassigned SPARK-15355:
Assignee: (was: Apache Spark)
> Pro-active block replenishment in case of
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Apache Spark reassigned SPARK-15355:
Assignee: Apache Spark
> Pro-active block replenishment in case of node/executor failures
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Apache Spark commented on SPARK-15355:
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User 'shubhamchopra' has created a pull request for this
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Nattavut Sutyanyong commented on SPARK-16804:
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I am working on a fix. Could you please assign
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Charles Allen commented on SPARK-16798:
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I am definitely running a *modified* 2.0.0, but
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Charles Allen commented on SPARK-16798:
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I'll run 2.0.0 stock as another test that will go out
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Apache Spark commented on SPARK-16804:
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User 'nsyca' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16804:
Assignee: (was: Apache Spark)
> Correlated subqueries containing LIMIT return
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Apache Spark reassigned SPARK-16804:
Assignee: Apache Spark
> Correlated subqueries containing LIMIT return incorrect results
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https://issues.apache.org/jira/browse/SPARK-16802?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15400045#comment-15400045
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Miao Wang commented on SPARK-16802:
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Very easy to reproduce. I am learning SQL code now.
>
Nattavut Sutyanyong created SPARK-16804:
---
Summary: Correlated subqueries containing LIMIT return incorrect
results
Key: SPARK-16804
URL: https://issues.apache.org/jira/browse/SPARK-16804
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Apache Spark commented on SPARK-16803:
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User 'gatorsmile' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16803:
Assignee: Apache Spark
> SaveAsTable does not work when source DataFrame is built on a
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Apache Spark reassigned SPARK-16803:
Assignee: (was: Apache Spark)
> SaveAsTable does not work when source DataFrame is
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Xiao Li commented on SPARK-16789:
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Please check the description of the JIRA:
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Xiao Li closed SPARK-16789.
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Resolution: Duplicate
> Can't run saveAsTable with database name
>
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Xiao Li updated SPARK-16803:
Description:
{noformat}
scala> sql("create table sample.sample stored as SEQUENCEFILE as select 1 as
key,
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Xiao Li updated SPARK-16803:
Description:
{noformat}
scala> sql("create table sample.sample stored as SEQUENCEFILE as select 1 as
key,
Xiao Li created SPARK-16803:
---
Summary: SaveAsTable does not work when source DataFrame is built
on a Hive Table
Key: SPARK-16803
URL: https://issues.apache.org/jira/browse/SPARK-16803
Project: Spark
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Dhruve Ashar updated SPARK-16441:
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Affects Version/s: 2.0.0
> Spark application hang when dynamic allocation is enabled
>
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Sean Owen commented on SPARK-16798:
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Yeah I noticed that too, and while the conclusion is probably the
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Charles Allen commented on SPARK-16798:
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The super odd thing here is that RDD.scala:445 *SHOULD* be
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Sean Owen commented on SPARK-14818:
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[~yhuai] do you want to implement this now?
> Move sketch and
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Sean Owen resolved SPARK-16667.
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Resolution: Not A Problem
> Spark driver executor dont release unused memory
>
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Sean Owen resolved SPARK-16725.
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Resolution: Won't Fix
> Migrate Guava to 16+?
> -
>
> Key:
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https://issues.apache.org/jira/browse/SPARK-16702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16702.
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Resolution: Duplicate
> Driver hangs after executors are lost
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https://issues.apache.org/jira/browse/SPARK-16688?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16688.
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Resolution: Won't Fix
> OpenHashSet.MAX_CAPACITY is always based on Int even when using Long
>
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https://issues.apache.org/jira/browse/SPARK-16705?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16705.
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Resolution: Duplicate
> Kafka Direct Stream is not experimental anymore
>
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https://issues.apache.org/jira/browse/SPARK-16802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sylvain Zimmer updated SPARK-16802:
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Description:
Hello!
This is a little similar to
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https://issues.apache.org/jira/browse/SPARK-16802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sylvain Zimmer updated SPARK-16802:
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Description:
Hello!
This is a little similar to
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https://issues.apache.org/jira/browse/SPARK-16801?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15399953#comment-15399953
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Sean Owen commented on SPARK-16801:
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{{clearThreshold}} is unrelated to vectors entirely. It's a
Sylvain Zimmer created SPARK-16802:
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Summary: joins.LongToUnsafeRowMap crashes with
ArrayIndexOutOfBoundsException
Key: SPARK-16802
URL: https://issues.apache.org/jira/browse/SPARK-16802
Project:
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https://issues.apache.org/jira/browse/SPARK-16664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-16664:
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Fix Version/s: 1.6.3
> Spark 1.6.2 - Persist call on Data frames with more than 200 columns is
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https://issues.apache.org/jira/browse/SPARK-16797?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15399948#comment-15399948
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Dongjoon Hyun commented on SPARK-16797:
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Hi, [~bjeffrey].
Could you give me more information how to
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https://issues.apache.org/jira/browse/SPARK-16796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16796:
Assignee: Apache Spark
> Visible passwords on Spark environment page
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https://issues.apache.org/jira/browse/SPARK-16796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15399944#comment-15399944
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Apache Spark commented on SPARK-16796:
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User 'Devian-ua' has created a pull request for this issue:
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