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Miao Wang commented on SPARK-17811:
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I am looking at this issue.
Thanks!
> SparkR cannot parallelize
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Herman van Hovell updated SPARK-17612:
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Fix Version/s: 2.0.2
> Support `DESCRIBE table PARTITION` SQL syntax
>
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Cody Koeninger commented on SPARK-15406:
I think if you're already gravitating towards json as
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Apache Spark reassigned SPARK-17817:
Assignee: Apache Spark
> PySpark RDD Repartitioning Results in Highly Skewed Partition
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Apache Spark commented on SPARK-17817:
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User 'viirya' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17817:
Assignee: (was: Apache Spark)
> PySpark RDD Repartitioning Results in Highly Skewed
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Michael Armbrust commented on SPARK-15406:
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The SQL offsets are stored in a WAL at
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Reynold Xin commented on SPARK-15406:
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Would it make sense to create a standard format for the log so
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Cody Koeninger commented on SPARK-15406:
When something has gone wrong, as an end user, how do I
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Yanbo Liang updated SPARK-17792:
Fix Version/s: 2.0.2
> L-BFGS solver for linear regression does not accept general numeric label
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Yanbo Liang resolved SPARK-17792.
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Resolution: Fixed
Assignee: Seth Hendrickson
Fix Version/s: 2.1.0
> L-BFGS
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Yin Huai updated SPARK-17822:
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Target Version/s: 1.0.2, 2.1.0
> JVMObjectTracker.objMap may leak JVM objects
>
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Yin Huai updated SPARK-17822:
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Target Version/s: 2.0.2, 2.1.0 (was: 1.0.2, 2.1.0)
> JVMObjectTracker.objMap may leak JVM objects
>
Yin Huai created SPARK-17823:
Summary: Make JVMObjectTracker.objMap thread-safe
Key: SPARK-17823
URL: https://issues.apache.org/jira/browse/SPARK-17823
Project: Spark
Issue Type: Bug
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Michael Armbrust commented on SPARK-15406:
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It would be helpful if you could enumerate problems
Yin Huai created SPARK-17822:
Summary: JVMObjectTracker.objMap may leak JVM objects
Key: SPARK-17822
URL: https://issues.apache.org/jira/browse/SPARK-17822
Project: Spark
Issue Type: Bug
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Todd Nemet updated SPARK-17818:
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Description:
When connecting to Spark SQL via JDBC/thriftserver, running `SELECT NULL`
returns this
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Todd Nemet commented on SPARK-17818:
Oh man, you are right. I cut and pasted and wrong part of my
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Cody Koeninger edited comment on SPARK-15406 at 10/7/16 3:20 AM:
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As soon
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Cody Koeninger commented on SPARK-15406:
As soon as you say "checkpoint", a whole class of people
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Apache Spark reassigned SPARK-17821:
Assignee: (was: Apache Spark)
> Expression Canonicalization should support Add and Or
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Apache Spark commented on SPARK-17821:
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User 'viirya' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17821:
Assignee: Apache Spark
> Expression Canonicalization should support Add and Or
>
Liang-Chi Hsieh created SPARK-17821:
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Summary: Expression Canonicalization should support Add and Or
Key: SPARK-17821
URL: https://issues.apache.org/jira/browse/SPARK-17821
Project: Spark
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Michael Armbrust commented on SPARK-17815:
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The only reason its blocked is because setting it
Kiran Miryala created SPARK-17820:
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Summary: Spark sqlContext.sql() performs only first insert for
HiveQL "FROM target INSERT INTO dest" command to insert into multiple target
tables from same source
Key: SPARK-17820
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Michael Armbrust commented on SPARK-15406:
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Restarting a query is just running that query again,
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Dongjoon Hyun commented on SPARK-17818:
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Ur, Todd.
Could you look at your JIRA description again?
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Dongjoon Hyun edited comment on SPARK-17818 at 10/7/16 1:37 AM:
Ur, Todd.
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Todd Nemet commented on SPARK-17818:
I'm referring to your example above of
SELECT CAST(NULL AS
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Dongjoon Hyun commented on SPARK-17818:
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Thanks.
> Cannot SELECT NULL
> --
>
>
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Dongjoon Hyun commented on SPARK-17818:
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It's your example, [~tnemet]. :)
> Cannot SELECT NULL
>
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Todd Nemet closed SPARK-17818.
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Resolution: Duplicate
Fix Version/s: 2.0.2
> Cannot SELECT NULL
> --
>
>
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Todd Nemet commented on SPARK-17818:
Definitely a duplicate. I did a search before filing - not sure
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Todd Nemet commented on SPARK-17818:
I don't believe you can CAST AS NULL in SQL since NullType isn't
Todd Nemet created SPARK-17819:
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Summary: Specified database in JDBC URL is ignored when connecting
to thriftserver
Key: SPARK-17819
URL: https://issues.apache.org/jira/browse/SPARK-17819
Project: Spark
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Apache Spark commented on SPARK-17782:
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User 'koeninger' has created a pull request for this issue:
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Dongjoon Hyun edited comment on SPARK-17818 at 10/7/16 1:15 AM:
Hi,
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Dongjoon Hyun commented on SPARK-17818:
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Could you close this issue as 'Duplicate' of SPARK-17112
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Dongjoon Hyun commented on SPARK-17818:
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Now, everything seems to work. BTW, the first example is
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Dongjoon Hyun commented on SPARK-17818:
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{code}
Connected to: Spark SQL (version 2.1.0-SNAPSHOT)
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Dongjoon Hyun commented on SPARK-17818:
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Hi, [~tnemet].
It looks similar with SPARK-17112 . I'll
Todd Nemet created SPARK-17818:
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Summary: Cannot SELECT NULL
Key: SPARK-17818
URL: https://issues.apache.org/jira/browse/SPARK-17818
Project: Spark
Issue Type: Bug
Components: SQL
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Apache Spark commented on SPARK-17808:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-17808:
Assignee: Apache Spark
> BinaryType fails in Python 3 due to outdated Pyrolite
>
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Apache Spark reassigned SPARK-17808:
Assignee: (was: Apache Spark)
> BinaryType fails in Python 3 due to outdated Pyrolite
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Ofir Manor commented on SPARK-17815:
I think this is a good idea.There is a minor confusion here,
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shreyas subramanya commented on SPARK-17814:
I have tried to make the description a little
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shreyas subramanya updated SPARK-17814:
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Description:
{noformat}
One of our customers is trying to pass in json through
Mike Dusenberry created SPARK-17817:
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Summary: PySpark RDD Repartitioning Results in Highly Skewed
Partition Sizes
Key: SPARK-17817
URL: https://issues.apache.org/jira/browse/SPARK-17817
Project:
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Ofir Manor commented on SPARK-15406:
I see three somewhat-related issues:
1. More flexibility is
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Apache Spark reassigned SPARK-17816:
Assignee: (was: Apache Spark)
> Json serialzation of accumulators are failing with
>
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Apache Spark commented on SPARK-17816:
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User 'seyfe' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17816:
Assignee: Apache Spark
> Json serialzation of accumulators are failing with
>
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Dongjoon Hyun commented on SPARK-17732:
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My bad. I didn't search properly the existing issue for
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Sean Owen commented on SPARK-17814:
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I think the JIRA formatting is obscuring what you're exactly
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shreyas subramanya edited comment on SPARK-17814 at 10/6/16 11:19 PM:
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shreyas subramanya commented on SPARK-17814:
well, the same command works fine in yarn-client
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Xiao Li updated SPARK-17780:
Assignee: Shixiong Zhu
> Report NoClassDefFoundError in StreamExecution
>
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Jason Herman commented on SPARK-12837:
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This bug is not fixed in spark 2.0
Here are the UPDATED
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Jakob Odersky commented on SPARK-17647:
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Xiao pointed me to this issue, I can take a look at it
>
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shreyas subramanya updated SPARK-17814:
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Description:
One of our customers is trying to pass in json through spark-submit as
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shreyas subramanya updated SPARK-17814:
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Description:
One of our customers is trying to pass in json through spark-submit as
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shreyas subramanya updated SPARK-17814:
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Description:
One of our customers is trying to pass in json through spark-submit as
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Xiao Li updated SPARK-17750:
Fix Version/s: 2.0.2
> Cannot create view which includes interval arithmetic
>
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Sean Owen commented on SPARK-17219:
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I could go this way too. I ended up sympathizing with trying to
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Yuval Itzchakov commented on SPARK-15406:
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We'ee using Kafka in a combination with stateful
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Timothy Hunter commented on SPARK-17219:
If I understand correctly the PR, I am concerned by this
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Cody Koeninger commented on SPARK-15406:
You cannot have reliable delivery semantics to a
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Ergin Seyfe updated SPARK-17816:
Description:
This is the stack trace: See {{ConcurrentModificationException}}:
{code}
Ergin Seyfe created SPARK-17816:
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Summary: Json serialzation of accumulators are failing with
ConcurrentModificationException
Key: SPARK-17816
URL: https://issues.apache.org/jira/browse/SPARK-17816
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Sean Owen commented on SPARK-17814:
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It looks like you're not escaping these reserved chars in your
Michael Armbrust created SPARK-17815:
Summary: Report committed offsets
Key: SPARK-17815
URL: https://issues.apache.org/jira/browse/SPARK-17815
Project: Spark
Issue Type: Sub-task
shreyas subramanya created SPARK-17814:
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Summary: spark submit arguments are truncated in yarn-cluster mode
Key: SPARK-17814
URL: https://issues.apache.org/jira/browse/SPARK-17814
Project: Spark
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Xiao Li commented on SPARK-17647:
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Sure, let me check it with my teammates. Thanks!
> SQL LIKE does not
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Michael Armbrust commented on SPARK-15406:
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The programming guide has a pretty good description
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Yuval Itzchakov commented on SPARK-15406:
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@Michael Perhaps I need to read that PR through to
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Ofir Manor commented on SPARK-15406:
Thanks Michael, I'll check the JIRAs, and will also post some
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Yin Huai commented on SPARK-17647:
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[~smilegator] Anyone from your side has time to take a look at it?
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Michael Armbrust commented on SPARK-15406:
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This missed 2.0.1, but I'm hopeful it will be in
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Apache Spark commented on SPARK-17346:
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User 'zsxwing' has created a pull request for this issue:
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Yuval Itzchakov commented on SPARK-15406:
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As someone using Spark Streaming and Kafka in
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Josh Rosen updated SPARK-17803:
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Assignee: Christian Kadner
> Docker integration tests don't run with "Docker for Mac"
>
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Josh Rosen resolved SPARK-17803.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.2
Issue resolved by pull
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Michael Armbrust commented on SPARK-15406:
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We are definitly not done! I added a few extra
Michael Armbrust created SPARK-17813:
Summary: Maximum data per trigger
Key: SPARK-17813
URL: https://issues.apache.org/jira/browse/SPARK-17813
Project: Spark
Issue Type: Sub-task
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Cody Koeninger commented on SPARK-15406:
I'm talking about people using Spark, not committers.
Michael Armbrust created SPARK-17812:
Summary: More granular control of starting offsets
Key: SPARK-17812
URL: https://issues.apache.org/jira/browse/SPARK-17812
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-15406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15553161#comment-15553161
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Ofir Manor commented on SPARK-15406:
Alright, I do hope you all find a way to resolve this and switch
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https://issues.apache.org/jira/browse/SPARK-15406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15553158#comment-15553158
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Jacek Laskowski commented on SPARK-15406:
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I'm curious who the users were? You're talking about
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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 resolved SPARK-17463.
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Resolution: Fixed
It's already fixed. The issue in the comment is another one.
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https://issues.apache.org/jira/browse/SPARK-17463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15553134#comment-15553134
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Shixiong Zhu commented on SPARK-17463:
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[~eseyfe] It's a different issue. Could you create a new
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https://issues.apache.org/jira/browse/SPARK-15406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15553099#comment-15553099
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Cody Koeninger commented on SPARK-15406:
To be real blunt, my level of interest is pretty low in
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https://issues.apache.org/jira/browse/SPARK-17131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15553101#comment-15553101
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Andrey Melentyev commented on SPARK-17131:
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Looks similar to
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https://issues.apache.org/jira/browse/SPARK-15406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15553076#comment-15553076
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Ofir Manor commented on SPARK-15406:
Thanks Cody! I missed the activity in the subtask PR...
It is
Hossein Falaki created SPARK-17811:
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Summary: SparkR cannot parallelize data.frame with NA or NULL in
Date columns
Key: SPARK-17811
URL: https://issues.apache.org/jira/browse/SPARK-17811
Project:
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https://issues.apache.org/jira/browse/SPARK-17750?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15553004#comment-15553004
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Apache Spark commented on SPARK-17750:
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User 'dongjoon-hyun' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-17780?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-17780.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.2
Issue resolved
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https://issues.apache.org/jira/browse/SPARK-17131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15552994#comment-15552994
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Andrey Melentyev commented on SPARK-17131:
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I tried wrapping the attached test into
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https://issues.apache.org/jira/browse/SPARK-17810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17810:
Assignee: Apache Spark (was: Sean Owen)
> Default spark.sql.warehouse.dir is relative to
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