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Vincent commented on SPARK-17498:
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Here is what we cc [~qhuang] see about this issue
and correct me if
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Sean Owen commented on SPARK-17498:
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This is more band-aid than anything. Really, the assumption is
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Vincent edited comment on SPARK-17498 at 9/12/16 8:55 AM:
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Here is how we cc
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Sean Zhong updated SPARK-17503:
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Summary: Memory leak in Memory store when unable to cache the whole RDD
(was: Memory leak in Memory
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Sean Zhong updated SPARK-17503:
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Summary: Memory leak in Memory store when unable to cache the whole RDD in
memory (was: Memory leak
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Sean Zhong updated SPARK-17503:
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Description:
h2.Problem description:
The following query triggers out of memory error.
{code}
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Vincent edited comment on SPARK-17498 at 9/12/16 8:43 AM:
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Here is what we cc
Adam Jakubowski created SPARK-17504:
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Summary: Spark App Handle from SparkLauncher always returns
UNKNOWN app state when used with Mesos in Client Mode
Key: SPARK-17504
URL:
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DjvuLee closed SPARK-17500.
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Resolution: Not A Bug
> The DiskBytesSpilled metric in ExternalMerger && ExternalGroupBy is not right
>
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Sean Zhong updated SPARK-17503:
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Attachment: Screen Shot 2016-09-12 at 4.34.19 PM.png
Screen Shot 2016-09-12 at
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Adam Jakubowski updated SPARK-17504:
Description:
Spark App Handle returned from Spark Launcher when used with Mesos in Client
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Apache Spark reassigned SPARK-17502:
Assignee: (was: Apache Spark)
> Multiple Bugs in DDL Statements on Temporary Views
>
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Apache Spark reassigned SPARK-17502:
Assignee: Apache Spark
> Multiple Bugs in DDL Statements on Temporary Views
>
Xiao Li created SPARK-17502:
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Summary: Multiple Bugs in DDL Statements on Temporary Views
Key: SPARK-17502
URL: https://issues.apache.org/jira/browse/SPARK-17502
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-17502:
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User 'gatorsmile' has created a pull request for this issue:
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Sean Zhong updated SPARK-17503:
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Description:
h2.Problem description:
The following query triggers out of memory error.
{code}
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Sean Zhong updated SPARK-17503:
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Description:
h2.Problem description:
The following query triggers out of memory error.
{code}
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Apache Spark reassigned SPARK-17462:
Assignee: (was: Apache Spark)
> Check for places within MLlib which should use
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Apache Spark commented on SPARK-17462:
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User 'VinceShieh' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17462:
Assignee: Apache Spark
> Check for places within MLlib which should use VersionUtils to
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Apache Spark commented on SPARK-17503:
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User 'clockfly' has created a pull request for this issue:
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Miao Wang commented on SPARK-17498:
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Can you give a concrete example?
> StringIndexer.setHandleInvalid
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Sean Zhong updated SPARK-17503:
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Description:
h2.Problem description:
The following query triggers out of memory error.
{code}
Sean Zhong created SPARK-17503:
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Summary: Memory leak in Memory store which unable to cache whole
RDD
Key: SPARK-17503
URL: https://issues.apache.org/jira/browse/SPARK-17503
Project: Spark
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Apache Spark reassigned SPARK-17503:
Assignee: (was: Apache Spark)
> Memory leak in Memory store when unable to cache the
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Apache Spark reassigned SPARK-17503:
Assignee: Apache Spark
> Memory leak in Memory store when unable to cache the whole RDD
>
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Sean Zhong updated SPARK-17503:
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Description:
h2.Problem description:
The following query triggers out of memory error.
{code}
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Alexander Kasper commented on SPARK-17321:
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I guess then we encountered the 1% where the NM
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Sean Zhong updated SPARK-17503:
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Affects Version/s: (was: 1.6.2)
(was: 2.0.0)
Target Version/s:
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WangJianfei commented on SPARK-6567:
@Reza Zadeh Any progress about this problems?
Thanks.
codlife
>
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WangJianfei edited comment on SPARK-6567 at 9/12/16 6:57 AM:
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Reza Zadeh Any
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Sean Owen commented on SPARK-17503:
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cache() means "cache in memory" only. There is a persist() call
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Peng Meng commented on SPARK-17462:
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hi [~josephkb], I am busy this days, I am glad VinceShieh can help
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Sean Zhong commented on SPARK-17503:
[~sowen] I have modified the title to mean "cache in memory"
>
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Apache Spark reassigned SPARK-17505:
Assignee: Apache Spark
> Add setBins for BinaryClassificationMetrics in mlllb/evaluation
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Apache Spark reassigned SPARK-17505:
Assignee: (was: Apache Spark)
> Add setBins for BinaryClassificationMetrics in
Peng Meng created SPARK-17505:
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Summary: Add setBins for BinaryClassificationMetrics in
mlllb/evaluation
Key: SPARK-17505
URL: https://issues.apache.org/jira/browse/SPARK-17505
Project: Spark
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Apache Spark commented on SPARK-17505:
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User 'mpjlu' has created a pull request for this issue:
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Chris Bannister updated SPARK-17453:
Component/s: Spark Core
> Broadcast block already exists in MemoryStore
>
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Sean Owen updated SPARK-17171:
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Assignee: cen yuhai
> DAG will list all partitions in the graph
>
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Sean Owen resolved SPARK-17171.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14737
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Sean Owen resolved SPARK-17447.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15039
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Sean Owen commented on SPARK-17397:
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[~spirom] would you like to follow up on this?
> Show example of
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Sean Owen resolved SPARK-17466.
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Resolution: Not A Problem
> Error message is not very clear
> ---
>
>
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miroslav Balaz commented on SPARK-17498:
No I meant, that it should return 3 and 3 for "d" and
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miroslav Balaz edited comment on SPARK-17498 at 9/12/16 1:46 PM:
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No I
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cen yuhai edited comment on SPARK-17501 at 9/12/16 1:54 PM:
I can't hardly
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cen yuhai commented on SPARK-17501:
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I will try to create a unit test for it.
> Re-register
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cen yuhai commented on SPARK-17501:
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I can't hardly reproduce this error. But maybe I found the root
Jiang Xingbo created SPARK-17506:
Summary: Improve the check double values equality rule
Key: SPARK-17506
URL: https://issues.apache.org/jira/browse/SPARK-17506
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-17506:
Assignee: Apache Spark
> Improve the check double values equality rule
>
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Apache Spark commented on SPARK-17506:
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User 'jiangxb1987' has created a pull request for this
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Apache Spark reassigned SPARK-17506:
Assignee: (was: Apache Spark)
> Improve the check double values equality rule
>
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Apache Spark reassigned SPARK-17424:
Assignee: (was: Apache Spark)
> Dataset job fails from unsound substitution in
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Apache Spark reassigned SPARK-17424:
Assignee: Apache Spark
> Dataset job fails from unsound substitution in ScalaReflect
>
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Apache Spark commented on SPARK-17424:
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User 'rdblue' has created a pull request for this issue:
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Ryan Blue commented on SPARK-17424:
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I'm adding the above fix in a PR. This fix works for us (the job
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Thomas Graves commented on SPARK-17321:
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Not sure I follow this comment. So you are using NM
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Apache Spark reassigned SPARK-17463:
Assignee: Shixiong Zhu (was: Apache Spark)
> Serialization of accumulators in heartbeats
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Josh Rosen updated SPARK-17409:
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Labels: correctness (was: )
> Query in CTAS is Optimized Twice
>
>
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Apache Spark reassigned SPARK-17507:
Assignee: Apache Spark
> check weight vector size in ANN
>
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Apache Spark reassigned SPARK-17507:
Assignee: (was: Apache Spark)
> check weight vector size in ANN
>
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Apache Spark commented on SPARK-17507:
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User 'WeichenXu123' has created a pull request for this
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Josh Rosen reassigned SPARK-14818:
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Assignee: Josh Rosen
> Move sketch and mllibLocal out from mima exclusion
>
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Apache Spark reassigned SPARK-14818:
Assignee: Apache Spark (was: Josh Rosen)
> Move sketch and mllibLocal out from mima
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Matei Zaharia commented on SPARK-17445:
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Sounds good to me.
> Reference an ASF page as the main
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Evan Zamir commented on SPARK-17508:
Just ran the same snippet of code setting weightCol="" and that
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Josh Rosen updated SPARK-17503:
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Assignee: Sean Zhong
> Memory leak in Memory store when unable to cache the whole RDD in memory
>
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Josh Rosen commented on SPARK-17494:
This also seems to affect Spark 2.0, except there it always
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Josh Rosen resolved SPARK-17483.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15036
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Josh Rosen updated SPARK-17494:
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Labels: correctness (was: )
> Floor function rounds up during join
>
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Josh Rosen updated SPARK-17494:
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Affects Version/s: 2.0.0
> Floor function rounds up during join
>
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Sital Kedia updated SPARK-17509:
Affects Version/s: 2.0.0
Description: Profiling a job, we saw that patten matching in
Jeff Nadler created SPARK-17510:
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Summary: Set Streaming MaxRate Independently For Multiple Streams
Key: SPARK-17510
URL: https://issues.apache.org/jira/browse/SPARK-17510
Project: Spark
Issue
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Alessio commented on SPARK-2352:
Pretty strange that this post with such hype is still "In progress" after
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Josh Rosen updated SPARK-17503:
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Target Version/s: 2.0.1, 2.1.0 (was: 2.1.0)
> Memory leak in Memory store when unable to cache the
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Chris Parmer commented on SPARK-15406:
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For my team, we are just primarily interested in the SQL /
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Sean Owen commented on SPARK-17508:
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This looks a lot like the problem solved in SPARK-14931 /
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Michael Gummelt updated SPARK-16742:
Description:
We at Mesosphere have written Kerberos support for Spark on Mesos. We'll be
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Seth Hendrickson commented on SPARK-17471:
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[~yanboliang] Do you have any updates on this? We
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Gang Wu commented on SPARK-17477:
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[~hyukjin.kwon] I agree with you. But both issues are targeting at
Evan Zamir created SPARK-17508:
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Summary: Setting weightCol to None in ML library causes an error
Key: SPARK-17508
URL: https://issues.apache.org/jira/browse/SPARK-17508
Project: Spark
Issue
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Apache Spark commented on SPARK-17463:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17463:
Assignee: Apache Spark (was: Shixiong Zhu)
> Serialization of accumulators in heartbeats
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Michael Gummelt updated SPARK-16742:
Description:
We at Mesosphere have written Kerberos support for Spark on Mesos. We'll be
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Shixiong Zhu commented on SPARK-17463:
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[~joshrosen] I think we can just leave LongAccum as it is.
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Michael Gummelt updated SPARK-16742:
Description:
We at Mesosphere have written Kerberos support for Spark on Mesos. We'll be
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https://issues.apache.org/jira/browse/SPARK-17463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu reassigned SPARK-17463:
Assignee: Shixiong Zhu
> Serialization of accumulators in heartbeats is not thread-safe
>
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https://issues.apache.org/jira/browse/SPARK-17509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17509:
Assignee: (was: Apache Spark)
> When wrapping catalyst datatype to Hive data type
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https://issues.apache.org/jira/browse/SPARK-17509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17509:
Assignee: Apache Spark
> When wrapping catalyst datatype to Hive data type avoid pattern
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https://issues.apache.org/jira/browse/SPARK-17509?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15485327#comment-15485327
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Apache Spark commented on SPARK-17509:
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User 'sitalkedia' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu reassigned SPARK-15621:
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Assignee: Davies Liu
> BatchEvalPythonExec fails with OOM
>
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https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexander Ulanov updated SPARK-5575:
Description:
*Goal:* Implement various types of artificial neural networks
*Motivation:*
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https://issues.apache.org/jira/browse/SPARK-17463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15485420#comment-15485420
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Apache Spark commented on SPARK-17463:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15486131#comment-15486131
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Cody Koeninger commented on SPARK-15406:
I've got a minimal working Source and SourceProvider, at
Weichen Xu created SPARK-17507:
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Summary: check weight vector size in ANN
Key: SPARK-17507
URL: https://issues.apache.org/jira/browse/SPARK-17507
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-17477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gang Wu updated SPARK-17477:
Target Version/s: (was: 2.1.0)
> SparkSQL cannot handle schema evolution from Int -> Long when parquet
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https://issues.apache.org/jira/browse/SPARK-14818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14818:
Assignee: Josh Rosen (was: Apache Spark)
> Move sketch and mllibLocal out from mima
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https://issues.apache.org/jira/browse/SPARK-14818?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15484691#comment-15484691
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Apache Spark commented on SPARK-14818:
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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-17508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15484850#comment-15484850
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Evan Zamir commented on SPARK-17508:
Yep, I'm running 2.0.0. You can see in the error messages above
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