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Apache Spark reassigned SPARK-10535:
Assignee: Apache Spark
> Support for recommendUsersForProducts and
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Apache Spark reassigned SPARK-10535:
Assignee: (was: Apache Spark)
> Support for recommendUsersForProducts and
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Apache Spark commented on SPARK-10535:
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User 'smartkiwi' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-10497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-10497.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8661
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Sean Owen updated SPARK-10497:
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Assignee: holdenk
> Release utils does not work with new version of jira-python library
>
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Sean Owen resolved SPARK-2015.
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Resolution: Done
Target Version/s: (was: 1.5.0)
This is a stale umbrella, which just had
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Sean Owen resolved SPARK-2064.
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Resolution: Duplicate
> web ui should not remove executors if they are dead
>
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Sean Owen updated SPARK-8414:
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Target Version/s: 1.5.1 (was: 1.5.0)
> Ensure ContextCleaner actually triggers clean ups
>
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Sean Owen updated SPARK-8119:
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Target Version/s: 1.5.1 (was: 1.4.2, 1.5.0)
> HeartbeatReceiver should not adjust application executor
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Sean Owen updated SPARK-8447:
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Target Version/s: 1.5.1 (was: 1.5.0)
> Test external shuffle service with all shuffle managers
>
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Maciej Bryński updated SPARK-10538:
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Attachment: screenshot-1.png
> java.lang.NegativeArraySizeException during join
>
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Glenn Strycker commented on SPARK-10493:
Unfortunately we don't have anything past 1.3.0. We're
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Sean Owen updated SPARK-8119:
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Target Version/s: 1.4.2, 1.5.1 (was: 1.5.1)
> HeartbeatReceiver should not adjust application executor
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Sean Owen updated SPARK-8119:
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Target Version/s: 1.4.2 (was: 1.4.2, 1.5.1)
> HeartbeatReceiver should not adjust application executor
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https://issues.apache.org/jira/browse/SPARK-5659?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-5659:
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Target Version/s: (was: 1.5.0)
> Flaky test: o.a.s.streaming.ReceiverSuite.block
>
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Apache Spark commented on SPARK-10537:
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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-10537?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10537:
Assignee: Apache Spark (was: Xiangrui Meng)
> Document LIBSVM data source options in
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Apache Spark reassigned SPARK-10537:
Assignee: Xiangrui Meng (was: Apache Spark)
> Document LIBSVM data source options in
Maciej Bryński created SPARK-10538:
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Summary: java.lang.NegativeArraySizeException during join
Key: SPARK-10538
URL: https://issues.apache.org/jira/browse/SPARK-10538
Project: Spark
Issue
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Maciej Bryński updated SPARK-10538:
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Description:
Hi,
I've got a problem during joining tables in PySpark. (in my example 20 of
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Xiangrui Meng commented on SPARK-10382:
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[~holdenk] I think this might be related to testing
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Davies Liu resolved SPARK-10065.
Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8496
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Marcelo Vanzin commented on SPARK-10528:
Ok, if you don't have hdfs-site.xml you're probably
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https://issues.apache.org/jira/browse/SPARK-9924?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739114#comment-14739114
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Apache Spark commented on SPARK-9924:
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User 'tgravescs' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-9924?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739115#comment-14739115
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Thomas Graves commented on SPARK-9924:
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https://github.com/apache/spark/pull/8701 pr to cherry-pick
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Sean Owen commented on SPARK-10528:
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Despite the error, I wonder if the problem is that you show that
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Dan Shechter commented on SPARK-8119:
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Why was the target version moved to 1.5.1?
Wasn't this already
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Sean Owen commented on SPARK-8119:
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No, it's marked as Fixed for 1.5.0 which remains true. I did a bulk
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Aliaksei Belablotski commented on SPARK-10528:
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Hi Marcelo, thanks for response.
* Yes, I
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Aliaksei Belablotski edited comment on SPARK-10528 at 9/10/15 5:10 PM:
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Erik Schmiegelow commented on SPARK-10536:
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We were discussing the implication of InputFormat as
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Maciej Bryński updated SPARK-10538:
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Description:
Hi,
I've got a problem during joining tables in PySpark. (in my example 20 of
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https://issues.apache.org/jira/browse/SPARK-10536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739056#comment-14739056
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Sean Owen commented on SPARK-10536:
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Tough one -- I think the behavior is not a surprise to people that
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Michael Armbrust resolved SPARK-7142.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 5700
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Michael Armbrust updated SPARK-7142:
Assignee: Yash Datta
> Minor enhancement to BooleanSimplification Optimizer rule
>
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Alex Liu commented on SPARK-10501:
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Cassandra has InetAddress and BigInteger types. Can we add those as
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Marcelo Vanzin commented on SPARK-10528:
Thanks! That is really a bug in Hive then:
{code}
Davies Liu created SPARK-10542:
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Summary: The PySpark 1.5 closure serializer can't serialize a
namedtuple instance.
Key: SPARK-10542
URL: https://issues.apache.org/jira/browse/SPARK-10542
Project:
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Josh Rosen commented on SPARK-10539:
Per discussion offline, it looks like this might be caused by
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Joseph K. Bradley updated SPARK-10525:
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Target Version/s: (was: 1.6.0)
> Add Python example for VectorSlicer to user guide
>
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Andrew Or resolved SPARK-8167.
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Resolution: Fixed
Fix Version/s: 1.6.0
> Tasks that fail due to YARN preemption can cause job
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Marcelo Vanzin commented on SPARK-10528:
Hmmm, that might be a bug in Hive then. Can you execute
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holdenk commented on SPARK-10382:
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My experience has mostly been that we just manually cut & paste over
Steve Loughran created SPARK-10541:
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Summary: Allow ApplicationHistoryProviders to provide their own
text when there aren't any complete apps
Key: SPARK-10541
URL:
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Apache Spark reassigned SPARK-10540:
Assignee: Apache Spark
> HadoopFsRelationTest's "test all data types" is flaky
>
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Sean Owen resolved SPARK-10527.
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Resolution: Won't Fix
> evaluate debugString only when log level is debug
>
Josh Rosen created SPARK-10544:
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Summary: Serialization of Python namedtuples in functions /
closures is broken
Key: SPARK-10544
URL: https://issues.apache.org/jira/browse/SPARK-10544
Project: Spark
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Josh Rosen updated SPARK-10544:
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Summary: Serialization of Python namedtuple subclasses in functions /
closures is broken (was:
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Josh Rosen updated SPARK-10544:
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Description:
The following example works on Spark 1.4.1 but not in 1.5:
{code}
from collections
Yin Huai created SPARK-10540:
Summary: HadoopFsRelationTest's "test all data types" is flaky
Key: SPARK-10540
URL: https://issues.apache.org/jira/browse/SPARK-10540
Project: Spark
Issue Type:
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Marcelo Vanzin edited comment on SPARK-10528 at 9/10/15 6:29 PM:
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Thanks!
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Andrew Or resolved SPARK-10466.
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Resolution: Fixed
Assignee: Cheng Hao
Fix Version/s: 1.5.1
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Andrew Or resolved SPARK-10469.
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Resolution: Fixed
Assignee: holdenk
Fix Version/s: 1.5.1
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Joseph K. Bradley commented on SPARK-10525:
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True, that's a good point. I may not assign it
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Josh Rosen commented on SPARK-10251:
I don't think that we properly test Spark with
Sen Fang created SPARK-10543:
Summary: Peak Execution Memory Quantile should be Pre-task Basis
Key: SPARK-10543
URL: https://issues.apache.org/jira/browse/SPARK-10543
Project: Spark
Issue Type:
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Andrew Or updated SPARK-6350:
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Affects Version/s: 1.5.0
> Make mesosExecutorCores configurable in mesos "fine-grained" mode
>
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Andrew Or resolved SPARK-10514.
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Resolution: Fixed
Fix Version/s: 1.6.0
Target Version/s: 1.6.0
> Minimum ratio of
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Aliaksei Belablotski commented on SPARK-10528:
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Thanks Sean,
Already tried :)
Set "Full
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holdenk commented on SPARK-10382:
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I'd love to help with this if your looking for people to help :)
>
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Apache Spark commented on SPARK-10540:
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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-10540?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10540:
Assignee: (was: Apache Spark)
> HadoopFsRelationTest's "test all data types" is flaky
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https://issues.apache.org/jira/browse/SPARK-6931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-6931.
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Resolution: Fixed
Fix Version/s: 1.2.3
1.3.2
Issue resolved by pull request
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Apache Spark commented on SPARK-10540:
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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-6350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-6350.
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Resolution: Fixed
Fix Version/s: 1.5.1
1.6.0
Target Version/s:
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Andrew Or updated SPARK-10514:
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Component/s: (was: Spark Core)
Mesos
> Minimum ratio of registered resources [
>
Yin Huai created SPARK-10545:
Summary: HiveMetastoreTypes.toMetastoreType should handle interval
type
Key: SPARK-10545
URL: https://issues.apache.org/jira/browse/SPARK-10545
Project: Spark
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Andrew Or updated SPARK-10514:
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Assignee: Akash Mishra
> Minimum ratio of registered resources [
>
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Apache Spark reassigned SPARK-10548:
Assignee: Andrew Or (was: Apache Spark)
> Concurrent execution in SQL does not work
>
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Apache Spark reassigned SPARK-10548:
Assignee: Apache Spark (was: Andrew Or)
> Concurrent execution in SQL does not work
>
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ZhengYaofeng updated SPARK-10529:
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Attachment: (was: IsolatedClientLoader.scala)
> When creating multiple HiveContext objects
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Akash Mishra closed SPARK-10514.
Patch is successfully merged in master.
> Minimum ratio of registered resources [
>
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Andrew Or updated SPARK-10548:
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Description:
>From the mailing list:
{code}
future { df1.count() }
future { df2.count() }
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Nithin Asokan commented on SPARK-10554:
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The fix could be as easy as checking {{blockManagerId}} is
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Josh Rosen commented on SPARK-10251:
Just to be clear, my suggestion was that we change the defaults
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Andrew Or updated SPARK-6350:
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Labels: backport-needed (was: )
> Make mesosExecutorCores configurable in mesos "fine-grained" mode
>
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Andrew Or reopened SPARK-6350:
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> Make mesosExecutorCores configurable in mesos "fine-grained" mode
>
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Andrew Or commented on SPARK-6350:
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re-opening this because it needs to be back ported into branch-1.5
>
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Andrew Or updated SPARK-6350:
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Fix Version/s: (was: 1.5.1)
> Make mesosExecutorCores configurable in mesos "fine-grained" mode
>
Austin Trombley created SPARK-10552:
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Summary: Connection String for SparkR to Cassandra
Key: SPARK-10552
URL: https://issues.apache.org/jira/browse/SPARK-10552
Project: Spark
Issue Type:
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Josh Rosen edited comment on SPARK-10251 at 9/10/15 10:49 PM:
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Just to be
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Reynold Xin commented on SPARK-9213:
[~waterman] are you still working on this? It is fine if you are
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teramonagi updated SPARK-10532:
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Description:
AWS users want to use "Named Profiles" sometimes.
-
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Sen Fang updated SPARK-10543:
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Summary: Peak Execution Memory Quantile should be Per-task Basis (was:
Peak Execution Memory Quantile
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Josh Rosen commented on SPARK-10251:
Ah, right; forgot about that.
> Some internal spark classes are
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Reynold Xin commented on SPARK-10251:
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But the tests by default run Java serialization, not Kryo?
>
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Reynold Xin resolved SPARK-9043.
Resolution: Fixed
Fix Version/s: 1.6.0
> Serialize key, value and combiner classes in
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https://issues.apache.org/jira/browse/SPARK-10548?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739938#comment-14739938
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Apache Spark commented on SPARK-10548:
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User 'andrewor14' has created a pull request for this issue:
Davies Liu created SPARK-10553:
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Summary: Allow Ctrl-C in pyspark shell to kill running job
Key: SPARK-10553
URL: https://issues.apache.org/jira/browse/SPARK-10553
Project: Spark
Issue Type:
Nithin Asokan created SPARK-10554:
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Summary: Potential NPE with ShutdownHook
Key: SPARK-10554
URL: https://issues.apache.org/jira/browse/SPARK-10554
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-10553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739783#comment-14739783
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Ashwin Shankar commented on SPARK-10553:
Hi [~davies], this jira is a duplicate of SPARK-8170.
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https://issues.apache.org/jira/browse/SPARK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739914#comment-14739914
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Apache Spark commented on SPARK-10556:
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User 'ahirreddy' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10556:
Assignee: Apache Spark
> SBT build explicitly sets Scala version, which can conflict with
Ahir Reddy created SPARK-10556:
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Summary: SBT build explicitly sets Scala version, which can
conflict with SBT's own scala version
Key: SPARK-10556
URL: https://issues.apache.org/jira/browse/SPARK-10556
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https://issues.apache.org/jira/browse/SPARK-4534?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandy Ryza resolved SPARK-4534.
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Resolution: Won't Fix
As SPARK-2089 is closed as "Won't Fix", also closing this.
> With YARN,
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https://issues.apache.org/jira/browse/SPARK-10489?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739681#comment-14739681
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Michael Malak commented on SPARK-10489:
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Feynman Liang:
Link
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Nithin Asokan updated SPARK-10554:
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Description:
Originally posted in user mailing list
Vinoth Chandar created SPARK-10555:
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Summary: Add INotifyDStream to Spark Streaming
Key: SPARK-10555
URL: https://issues.apache.org/jira/browse/SPARK-10555
Project: Spark
Issue Type: New
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Davies Liu closed SPARK-10553.
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Resolution: Duplicate
> Allow Ctrl-C in pyspark shell to kill running job
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Apache Spark reassigned SPARK-10556:
Assignee: (was: Apache Spark)
> SBT build explicitly sets Scala version, which can
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