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Reynold Xin updated SPARK-12362:
Description:
Spark currently has two SQL parsers it is using: a simple one based on Scala
parser c
SuYan created SPARK-12419:
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Summary: FetchFailed = false Executor lost should not allowed
re-registered in BlockManager Master again?
Key: SPARK-12419
URL: https://issues.apache.org/jira/browse/SPARK-12419
Pr
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Gobinathan SP updated SPARK-12313:
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Description:
When enabled spark.sql.hive.metastorePartitionPruning, the
getPartitionsByFilter
dirk.zhang created SPARK-12418:
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Summary: spark shuffle FAILED_TO_UNCOMPRESS
Key: SPARK-12418
URL: https://issues.apache.org/jira/browse/SPARK-12418
Project: Spark
Issue Type: Bug
Affects Ve
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Reynold Xin commented on SPARK-12400:
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Please go ahead.
> Avoid writing a shuffle f
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Apache Spark reassigned SPARK-12398:
Assignee: Apache Spark
> Smart truncation of DataFrame / Dataset toString
> --
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Ke Jia updated SPARK-8321:
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Attachment: SparkSQLauthorizationDesignDocument.pdf
> Authorization Support(on all operations not only DDL) in S
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Rajesh Balamohan updated SPARK-12417:
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Attachment: SPARK-12417.1.patch
> Orc bloom filter options are not propagated during file
Rajesh Balamohan created SPARK-12417:
Summary: Orc bloom filter options are not propagated during file
write in spark
Key: SPARK-12417
URL: https://issues.apache.org/jira/browse/SPARK-12417
Projec
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Apache Spark reassigned SPARK-12393:
Assignee: Apache Spark
> Add read.text and write.text for SparkR
> ---
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Apache Spark reassigned SPARK-12393:
Assignee: (was: Apache Spark)
> Add read.text and write.text for SparkR
>
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Apache Spark reassigned SPARK-12393:
Assignee: (was: Apache Spark)
> Add read.text and write.text for SparkR
>
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Apache Spark reassigned SPARK-12393:
Assignee: Apache Spark
> Add read.text and write.text for SparkR
> ---
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Saisai Shao commented on SPARK-12400:
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[~rxin], would you mind me taking a crack at t
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Sun Rui commented on SPARK-12360:
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yes, use string to represent a long value, and parse i
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Saisai Shao commented on SPARK-12400:
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So from my understanding this will only be exi
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Shivaram Venkataraman commented on SPARK-12360:
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For all the random seed ca
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Apache Spark commented on SPARK-12392:
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User 'maropu' has created a pull request for
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Carson Wang updated SPARK-12399:
Description:
I got an exception when accessing the below REST API with an unknown
application Id.
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Sun Rui commented on SPARK-12360:
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This JIRA was intented to address the issue of passing
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Shivaram Venkataraman commented on SPARK-10500:
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I don't mind merging this
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Shixiong Zhu resolved SPARK-11749.
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Resolution: Fixed
Assignee: Jack Hu
Fix Version/s: 2.0.0
1.6.
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Huaxin Gao commented on SPARK-12409:
https://github.com/apache/spark/pull/10369
> JD
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Apache Spark reassigned SPARK-12399:
Assignee: Apache Spark
> Display correct error message when accessing REST API with an unk
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Apache Spark reassigned SPARK-12399:
Assignee: (was: Apache Spark)
> Display correct error message when accessing REST API
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Apache Spark reassigned SPARK-12415:
Assignee: Apache Spark
> Do not use closure serializer to serialize task result
>
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Apache Spark reassigned SPARK-12415:
Assignee: (was: Apache Spark)
> Do not use closure serializer to serialize task result
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Sun Rui commented on SPARK-10500:
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[~jerryshao] I am OK with backporting. But will there
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Reynold Xin updated SPARK-9346:
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Comment: was deleted
(was: User 'viirya' has created a pull request for this issue:
https://github.com
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Apache Spark commented on SPARK-12411:
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User 'nongli' has created a pull request for
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Apache Spark reassigned SPARK-12411:
Assignee: Apache Spark
> Reconsider executor heartbeats rpc timeout
>
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Apache Spark reassigned SPARK-12411:
Assignee: (was: Apache Spark)
> Reconsider executor heartbeats rpc timeout
> -
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Apache Spark reassigned SPARK-12416:
Assignee: Apache Spark
> Add Reliable receiver for JMS
> --
>
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Reynold Xin commented on SPARK-12398:
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Go for it.
> Smart truncation of DataFrame /
Matthew Taylor created SPARK-12416:
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Summary: Add Reliable receiver for JMS
Key: SPARK-12416
URL: https://issues.apache.org/jira/browse/SPARK-12416
Project: Spark
Issue Type: New Feature
Andrew Or created SPARK-12415:
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Summary: Do not use closure serializer to serialize task result
Key: SPARK-12415
URL: https://issues.apache.org/jira/browse/SPARK-12415
Project: Spark
Issue Type:
Andrew Or created SPARK-12414:
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Summary: Remove closure serializer
Key: SPARK-12414
URL: https://issues.apache.org/jira/browse/SPARK-12414
Project: Spark
Issue Type: Bug
Components: Spa
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Yin Huai resolved SPARK-8641.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 9819
[https://github.com/apac
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Yin Huai updated SPARK-8641:
Assignee: Herman van Hovell
> Native Spark Window Functions
> -
>
>
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Bo Meng commented on SPARK-12412:
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https://github.com/apache/spark/pull/10364
> Support
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Michael Gummelt commented on SPARK-12413:
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Updated. Thanks
> Mesos ZK persisten
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Michael Gummelt updated SPARK-12413:
Description:
https://github.com/apache/spark/pull/10359 breaks ZK persistence due to
https
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Michael Gummelt updated SPARK-12413:
Description:
This breaks ZK persistence due to https://issues.scala-lang.org/browse/SI-6654
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Michael Gummelt updated SPARK-12413:
Description:
https://github.com/apache/spark/pull/10359 breaks ZK persistence due to
https
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Michael Gummelt updated SPARK-12413:
Description:
This breaks ZK persistence due to https://issues.scala-lang.org/browse/SI-6654
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Michael Gummelt updated SPARK-12413:
Description:
This breaks ZK persistence due to https://issues.scala-lang.org/browse/SI-6654
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Michael Gummelt updated SPARK-12413:
Summary: Mesos ZK persistence throws a NotSerializableException (was:
Mesos ZK persistence
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Michael Gummelt updated SPARK-12413:
Summary: Mesos ZK persistence throws a (was: Mesos ZK persistence is
broken)
> Mesos ZK
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Apache Spark reassigned SPARK-12413:
Assignee: Apache Spark
> Mesos ZK persistence is broken
> --
>
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Apache Spark reassigned SPARK-12413:
Assignee: (was: Apache Spark)
> Mesos ZK persistence is broken
> -
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Sean Owen commented on SPARK-12413:
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[~mgummelt] I realize you linked to the issue but
Michael Gummelt created SPARK-12413:
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Summary: Mesos ZK persistence is broken
Key: SPARK-12413
URL: https://issues.apache.org/jira/browse/SPARK-12413
Project: Spark
Issue Type: Bug
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Gobinathan SP updated SPARK-12313:
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Description:
When enabled spark.sql.hive.metastorePartitionPruning, the
getPartitionsByFilter
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Shixiong Zhu resolved SPARK-12376.
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Resolution: Fixed
Assignee: Evan Chen
Fix Version/s: 2.0.0
1.
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Michael Armbrust resolved SPARK-12397.
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Resolution: Fixed
Fix Version/s: 1.6.0
2.0.0
Issue resolved b
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Bo Meng updated SPARK-12412:
Component/s: SQL
> Support LIKE in the JDBCRDD
> ---
>
> Key: SPARK
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Apache Spark reassigned SPARK-12412:
Assignee: Apache Spark
> Support LIKE in the JDBCRDD
> ---
>
>
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Apache Spark reassigned SPARK-12412:
Assignee: Apache Spark
> Support LIKE in the JDBCRDD
> ---
>
>
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Apache Spark reassigned SPARK-12412:
Assignee: (was: Apache Spark)
> Support LIKE in the JDBCRDD
>
Bo Meng created SPARK-12412:
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Summary: Support LIKE in the JDBCRDD
Key: SPARK-12412
URL: https://issues.apache.org/jira/browse/SPARK-12412
Project: Spark
Issue Type: Improvement
Reporte
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Apache Spark commented on SPARK-12387:
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User 'huaxingao' has created a pull request
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Apache Spark reassigned SPARK-12393:
Assignee: Apache Spark
> Add read.text and write.text for SparkR
> ---
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Apache Spark reassigned SPARK-12393:
Assignee: (was: Apache Spark)
> Add read.text and write.text for SparkR
>
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Gobinathan SP updated SPARK-12313:
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Priority: Critical (was: Minor)
> getPartitionsByFilter doesnt handle predicates on all / mult
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Shixiong Zhu updated SPARK-12410:
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Fix Version/s: (was: 1.5.2)
(was: 1.6.0)
2.0.0
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Shixiong Zhu resolved SPARK-12410.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 1.5.2
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Shixiong Zhu updated SPARK-12410:
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Affects Version/s: 1.4.1
1.5.2
> "." and "|" used for String.split directl
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Apache Spark commented on SPARK-12218:
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User 'yhuai' has created a pull request for
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Zhuo Liu edited comment on SPARK-10873 at 12/17/15 8:58 PM:
H
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Yin Huai updated SPARK-12218:
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Summary: Invalid splitting of nested AND expressions in Data Source filter
API (was: Boolean logic in sq
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Zhuo Liu commented on SPARK-10873:
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Hi Alex, I started working on this, hopefully I will
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Apache Spark commented on SPARK-12410:
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User 'zsxwing' has created a pull request fo
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Alex Bozarth commented on SPARK-10873:
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[~zhuoliu] are you currently working on this
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Andrew Or updated SPARK-12390:
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Fix Version/s: 1.6.1
> Clean up unused serializer parameter in BlockManager
> -
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Andrew Or resolved SPARK-12390.
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Resolution: Fixed
> Clean up unused serializer parameter in BlockManager
> --
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Andrew Or reassigned SPARK-12390:
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Assignee: Andrew Or (was: Apache Spark)
> Clean up unused serializer parameter in BlockManager
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Apache Spark reassigned SPARK-12387:
Assignee: Apache Spark
> JDBC IN operator push down
> ---
>
>
Nong Li created SPARK-12411:
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Summary: Reconsider executor heartbeats rpc timeout
Key: SPARK-12411
URL: https://issues.apache.org/jira/browse/SPARK-12411
Project: Spark
Issue Type: Improvement
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Davies Liu updated SPARK-12402:
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Description: After run some SQL query in PySpark, the DataFrame are still
referenced by py4j Gateway,
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Davies Liu updated SPARK-12402:
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Summary: Memory leak in pyspark (was: Memory leak in broadcast hash join)
> Memory leak in pyspark
>
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Apache Spark reassigned SPARK-12410:
Assignee: Apache Spark
> "." and "|" used for String.split directly
>
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Apache Spark reassigned SPARK-12410:
Assignee: (was: Apache Spark)
> "." and "|" used for String.split directly
> -
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Shixiong Zhu updated SPARK-12410:
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Component/s: (was: Spark Core)
Streaming
> "." and "|" used for String.split
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Apache Spark commented on SPARK-12404:
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User 'marmbrus' has created a pull request f
Shixiong Zhu created SPARK-12410:
Summary: "." and "|" used for String.split directly
Key: SPARK-12410
URL: https://issues.apache.org/jira/browse/SPARK-12410
Project: Spark
Issue Type: Bug
Huaxin Gao created SPARK-12409:
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Summary: JDBC AND operator push down
Key: SPARK-12409
URL: https://issues.apache.org/jira/browse/SPARK-12409
Project: Spark
Issue Type: Improvement
Co
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Huaxin Gao commented on SPARK-12409:
I will submit a PR soon.
> JDBC AND operator p
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https://issues.apache.org/jira/browse/SPARK-12398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15062527#comment-15062527
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Dilip Biswal commented on SPARK-12398:
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[~rxin] Hi Reynold, are you working on this
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https://issues.apache.org/jira/browse/SPARK-12366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-12366.
Resolution: Duplicate
> IllegalArgumentException: requirement failed: File not found:
> ..
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https://issues.apache.org/jira/browse/SPARK-12220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-12220.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 2.0.0
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https://issues.apache.org/jira/browse/SPARK-12220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu updated SPARK-12220:
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Affects Version/s: 1.6.0
> Make Utils.fetchFile support files that contain special characters
> -
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https://issues.apache.org/jira/browse/SPARK-12408?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-12408:
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Priority: Minor (was: Major)
[~calvin] yeah I had the same question. The Tachyon updates tend to intro
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https://issues.apache.org/jira/browse/SPARK-11164?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15062319#comment-15062319
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Apache Spark commented on SPARK-11164:
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User 'gatorsmile' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-12177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15062313#comment-15062313
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Cody Koeninger commented on SPARK-12177:
Honestly SSL / auth is the only compelli
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https://issues.apache.org/jira/browse/SPARK-10854?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15062247#comment-15062247
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Dmitry Romanenko commented on SPARK-10854:
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Any update on this? Maybe some sugge
Rares Mirica created SPARK-12408:
Summary: Spark 1.6 with tachyon 0.8.2 uses deprecated client
Key: SPARK-12408
URL: https://issues.apache.org/jira/browse/SPARK-12408
Project: Spark
Issue Typ
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https://issues.apache.org/jira/browse/SPARK-12353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12353:
Assignee: (was: Apache Spark)
> wrong output for countByValue and countByValueAndWindo
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https://issues.apache.org/jira/browse/SPARK-12353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12353:
Assignee: Apache Spark
> wrong output for countByValue and countByValueAndWindow
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https://issues.apache.org/jira/browse/SPARK-12395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-12395.
Resolution: Fixed
Fix Version/s: 1.6.1
2.0.0
Issue resolved by pull reque
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https://issues.apache.org/jira/browse/SPARK-12366?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15062203#comment-15062203
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Yin Huai commented on SPARK-12366:
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Based on [~lian cheng]'s investigation, seems it is
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