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Apache Spark reassigned SPARK-20670:
Assignee: (was: Apache Spark)
> Simplify FPGrowth transform
>
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Apache Spark reassigned SPARK-20670:
Assignee: Apache Spark
> Simplify FPGrowth transform
> ---
>
>
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Apache Spark commented on SPARK-20670:
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User 'hhbyyh' has created a pull request for this issue:
amit kumar created SPARK-20671:
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Summary: Processing muitple kafka topics with single spark
streaming context hangs on batchSubmitted.
Key: SPARK-20671
URL: https://issues.apache.org/jira/browse/SPARK-20671
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Apache Spark reassigned SPARK-20668:
Assignee: Apache Spark
> Modify ScalaUDF to handle nullability.
>
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Apache Spark reassigned SPARK-20668:
Assignee: (was: Apache Spark)
> Modify ScalaUDF to handle nullability.
>
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Apache Spark commented on SPARK-20668:
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User 'ueshin' has created a pull request for this issue:
yuhao yang created SPARK-20670:
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Summary: Simplify FPGrowth transform
Key: SPARK-20670
URL: https://issues.apache.org/jira/browse/SPARK-20670
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-20669:
Assignee: Apache Spark
> LogisticRegression family should be case insensitive
>
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Apache Spark reassigned SPARK-20669:
Assignee: (was: Apache Spark)
> LogisticRegression family should be case insensitive
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Apache Spark commented on SPARK-20669:
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User 'zhengruifeng' has created a pull request for this
zhengruifeng created SPARK-20669:
Summary: LogisticRegression family should be case insensitive
Key: SPARK-20669
URL: https://issues.apache.org/jira/browse/SPARK-20669
Project: Spark
Issue
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Apache Spark commented on SPARK-20661:
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User 'felixcheung' has created a pull request for this
Takuya Ueshin created SPARK-20668:
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Summary: Modify ScalaUDF to handle nullability.
Key: SPARK-20668
URL: https://issues.apache.org/jira/browse/SPARK-20668
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-20667:
Assignee: Apache Spark (was: Xiao Li)
> Cleanup the cataloged metadata after completing
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Apache Spark reassigned SPARK-20667:
Assignee: Xiao Li (was: Apache Spark)
> Cleanup the cataloged metadata after completing
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Apache Spark commented on SPARK-20667:
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User 'gatorsmile' has created a pull request for this issue:
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Xiao Li updated SPARK-20667:
Description: So far, we do not drop all the cataloged tables after each
package. Sometimes, we might hit
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Xiao Li updated SPARK-20667:
Description: So far, we do not drop all the cataloged tables after each
package. Sometimes, we might hit
Xiao Li created SPARK-20667:
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Summary: Cleanup the cataloged metadata after completing the
package of sql/core and sql/hive
Key: SPARK-20667
URL: https://issues.apache.org/jira/browse/SPARK-20667
Project:
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Felix Cheung updated SPARK-20666:
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Summary: Flaky test - SparkListenerBus randomly failing on Windows (was:
Flaky test - random ml
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Felix Cheung updated SPARK-20666:
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Summary: Flaky test - SparkListenerBus randomly failing
java.lang.IllegalAccessError on Windows
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Felix Cheung updated SPARK-20666:
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Description:
seeing quite a bit of this on AppVeyor, aka Windows only, always only when
running
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Felix Cheung updated SPARK-20666:
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Component/s: Spark Core
> Flaky test - SparkListenerBus randomly failing on Windows
>
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Felix Cheung updated SPARK-20666:
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Description:
seeing quite a bit of this on AppVeyor, aka Windows only
{code}
Exception in
Felix Cheung created SPARK-20666:
Summary: Flaky test - random ml test failure on Windows
Key: SPARK-20666
URL: https://issues.apache.org/jira/browse/SPARK-20666
Project: Spark
Issue Type:
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Felix Cheung updated SPARK-20666:
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Description:
seeing quite a bit of this on AppVeyor, aka Windows only
{code}
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Yan Facai (颜发才) commented on SPARK-19581:
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[~barrybecker4] Could you give a sample code?
>
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Apache Spark reassigned SPARK-7856:
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Assignee: Apache Spark
> Scalable PCA implementation for tall and fat matrices
>
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Apache Spark reassigned SPARK-7856:
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Assignee: (was: Apache Spark)
> Scalable PCA implementation for tall and fat matrices
>
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Apache Spark commented on SPARK-7856:
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User 'ghoto' has created a pull request for this issue:
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Apache Spark reassigned SPARK-20665:
Assignee: (was: Apache Spark)
> Spark-sql, "Bround" function return NULL
>
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Apache Spark reassigned SPARK-20665:
Assignee: Apache Spark
> Spark-sql, "Bround" function return NULL
>
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Apache Spark commented on SPARK-20665:
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User '10110346' has created a pull request for this issue:
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Apache Spark commented on SPARK-20661:
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User 'felixcheung' has created a pull request for this
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liuxian updated SPARK-20665:
Description:
>select bround(12.3, 2);
>NULL
For this case, the expected result is 12.3, but it is null
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liuxian updated SPARK-20665:
Description:
>select bround(12.3, 2);
>NULL
For this case, we expected the result is 12.3, but it is null
liuxian created SPARK-20665:
---
Summary: Spark-sql, "Bround" function return NULL
Key: SPARK-20665
URL: https://issues.apache.org/jira/browse/SPARK-20665
Project: Spark
Issue Type: Bug
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sandflee commented on SPARK-18278:
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for a spark user, what benefits could we get？ beside could co-run
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Saisai Shao commented on SPARK-20658:
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It is mainly depends on YARN to measure the failure validity
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Ignacio Bermudez Corrales edited comment on SPARK-7856 at 5/9/17 1:59 AM:
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Ignacio Bermudez Corrales edited comment on SPARK-7856 at 5/9/17 2:00 AM:
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kobefeng updated SPARK-20663:
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Description:
Use spark sql to create partition table first, and alter table by adding
partition on
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kobefeng updated SPARK-20663:
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Description:
Use spark sql to create partition table first, and alter table by adding
partition on
Marcelo Vanzin created SPARK-20664:
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Summary: Remove stale applications from SHS listing
Key: SPARK-20664
URL: https://issues.apache.org/jira/browse/SPARK-20664
Project: Spark
Issue Type:
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kobefeng updated SPARK-20663:
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Description:
Use spark sql to create partition table first, and alter table by adding
partition on
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kobefeng updated SPARK-20663:
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Priority: Major (was: Minor)
> Data missing after insert overwrite table partition which is created on
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kobefeng updated SPARK-20663:
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Affects Version/s: (was: 2.1.1)
> Data missing after insert overwrite table partition which is
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kobefeng updated SPARK-20663:
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Labels: easyfix (was: )
> Data missing after insert overwrite table partition which is created on
>
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kobefeng updated SPARK-20663:
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Description:
Use spark sql to create partition table first, and alter table by adding
partition on
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kobefeng updated SPARK-20663:
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Description:
Use spark sql to create partition table first, and alter table by adding
partition on
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kobefeng updated SPARK-20663:
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Description:
Use spark sql to create partition table first, and alter table by adding
partition on
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kobefeng updated SPARK-20663:
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Description:
Use spark sql to create partition table first, and alter table by adding
partition on
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kobefeng updated SPARK-20663:
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Docs Text: (was:
-- create partition table first
$ hadoop fs -mkdir /user/kofeng/partitioned_table
$
kobefeng created SPARK-20663:
Summary: Data missing after insert overwrite table partition which
is created on specific location
Key: SPARK-20663
URL: https://issues.apache.org/jira/browse/SPARK-20663
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Apache Spark reassigned SPARK-20638:
Assignee: (was: Apache Spark)
> Optimize the CartesianRDD to reduce repeatedly data
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Apache Spark reassigned SPARK-20638:
Assignee: Apache Spark
> Optimize the CartesianRDD to reduce repeatedly data fetching
>
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Marcelo Vanzin commented on SPARK-20658:
Ok, so it's not an issue with old YARN jars being used.
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Paul Jones commented on SPARK-20658:
The jars are versioned 2.7.3.
Finally finished grepping through
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Mingliang Liu commented on SPARK-20608:
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Quick question [~charliechen] : I think [~vanzin] is
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Sebb reopened SPARK-1449:
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The mirror system includes the following:
spark-1.6.2
spark-1.6.3
spark-2.0.1
spark-2.0.2
spark-2.1.0
spark-2.1.1
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Shixiong Zhu edited comment on SPARK-20600 at 5/8/17 10:38 PM:
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Shixiong Zhu commented on SPARK-20600:
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[~jlaskowski] Hope you want do it soon. Then we can put it
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Marcelo Vanzin commented on SPARK-20658:
That's different... what version of Hadoop libraries is
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Marcelo Vanzin edited comment on SPARK-20658 at 5/8/17 10:02 PM:
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That's
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Shixiong Zhu commented on SPARK-19268:
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[~skrishna] could you provide your codes, or the output of
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Paul Jones commented on SPARK-20658:
Ah... This is using Amazons version of Hadoop 2.7.3
{noformat}
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Marcelo Vanzin commented on SPARK-20658:
That does not say which package you used (i.e. which
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Yin Huai reassigned SPARK-20661:
Assignee: Hossein Falaki
> SparkR tableNames() test fails
> --
>
>
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Paul Jones commented on SPARK-20658:
{noformat}
$ spark-submit --version
version 2.1.0
Using Scala
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Yin Huai resolved SPARK-20661.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17903
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Apache Spark reassigned SPARK-20630:
Assignee: (was: Apache Spark)
> Thread Dump link available in Executors tab
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Apache Spark reassigned SPARK-20630:
Assignee: Apache Spark
> Thread Dump link available in Executors tab irrespective of
>
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Apache Spark commented on SPARK-20630:
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User 'ajbozarth' has created a pull request for this issue:
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Fernando Pereira commented on SPARK-20580:
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I understand that at some point it will be better to
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Marcelo Vanzin resolved SPARK-20605.
Resolution: Fixed
Assignee: Saisai Shao
Fix Version/s: 2.3.0
> Deprecate
Xuefu Zhang created SPARK-20662:
---
Summary: Block jobs that have greater than a configured number of
tasks
Key: SPARK-20662
URL: https://issues.apache.org/jira/browse/SPARK-20662
Project: Spark
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Joseph K. Bradley commented on SPARK-20500:
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I'll take this one.
> ML, Graph 2.2 QA: API:
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Joseph K. Bradley reassigned SPARK-20500:
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Assignee: Joseph K. Bradley
> ML, Graph 2.2 QA: API: Binary incompatible
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Ignacio Bermudez Corrales edited comment on SPARK-7856 at 5/8/17 9:13 PM:
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Ignacio Bermudez Corrales commented on SPARK-7856:
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Apart from implementing Probabilistic
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Apache Spark reassigned SPARK-20661:
Assignee: Apache Spark
> SparkR tableNames() test fails
> --
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Apache Spark reassigned SPARK-20661:
Assignee: (was: Apache Spark)
> SparkR tableNames() test fails
>
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Apache Spark commented on SPARK-20661:
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User 'falaki' has created a pull request for this issue:
Hossein Falaki created SPARK-20661:
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Summary: SparkR tableNames() test fails
Key: SPARK-20661
URL: https://issues.apache.org/jira/browse/SPARK-20661
Project: Spark
Issue Type: Bug
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Shixiong Zhu commented on SPARK-18057:
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[~helena_e] I didn't mean for Spark. Even in Spark, the
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Michel Lemay updated SPARK-20660:
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Description:
Union on two dataframes with different column orders is not supported and lead
to
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Helena Edelson edited comment on SPARK-18057 at 5/8/17 8:23 PM:
It's not
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Michel Lemay updated SPARK-20660:
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Description:
Union on two dataframes with different column orders is not supported and lead
to
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https://issues.apache.org/jira/browse/SPARK-20660?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michel Lemay updated SPARK-20660:
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Description:
Union on two dataframes with different column orders is not supported and lead
to
Michel Lemay created SPARK-20660:
Summary: Not able to merge Dataframes with different column orders
Key: SPARK-20660
URL: https://issues.apache.org/jira/browse/SPARK-20660
Project: Spark
Marcelo Vanzin created SPARK-20659:
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Summary: Remove StorageStatus, or make it private.
Key: SPARK-20659
URL: https://issues.apache.org/jira/browse/SPARK-20659
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-20658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16001440#comment-16001440
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Marcelo Vanzin commented on SPARK-20658:
The exact build of Spark you're using would help. You
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https://issues.apache.org/jira/browse/SPARK-20658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16001439#comment-16001439
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Paul Jones commented on SPARK-20658:
I know this likely isn't enough information to debug this issue.
Paul Jones created SPARK-20658:
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Summary: spark.yarn.am.attemptFailuresValidityInterval doesn't
seem to have an effect
Key: SPARK-20658
URL: https://issues.apache.org/jira/browse/SPARK-20658
Project:
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https://issues.apache.org/jira/browse/SPARK-20641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16001432#comment-16001432
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Apache Spark commented on SPARK-20641:
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User 'vanzin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-20641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20641:
Assignee: (was: Apache Spark)
> Key-value store abstraction and implementation for
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https://issues.apache.org/jira/browse/SPARK-20641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20641:
Assignee: Apache Spark
> Key-value store abstraction and implementation for storing
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https://issues.apache.org/jira/browse/SPARK-12297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16001429#comment-16001429
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Ryan Blue commented on SPARK-12297:
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The Impala team has been working with the Parquet community
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https://issues.apache.org/jira/browse/SPARK-13747?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16001426#comment-16001426
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Shixiong Zhu commented on SPARK-13747:
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[~revolucion09] The default dispatcher uses ForkJoinPool.
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