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Dongjoon Hyun commented on SPARK-16938:
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Hi, [~cloud_fan].
Could you review the PR?
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Sean Owen resolved SPARK-17537.
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Resolution: Duplicate
> Improve performance for reading parquet schema
>
Jianfei Wang created SPARK-17552:
Summary: Doubt about the double Synchronized in Object
SparkSession.getOrCreate()
Key: SPARK-17552
URL: https://issues.apache.org/jira/browse/SPARK-17552
Project: Spa
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Sean Owen resolved SPARK-17552.
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Resolution: Invalid
Questions should go to user@. The two locks here are not the same one.
> Doubt a
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Sean Owen resolved SPARK-17535.
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Resolution: Won't Fix
I don't think volatile matters here. It's not the point I was making actually;
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Jianfei Wang commented on SPARK-17552:
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of course not the same one ,but only one thr
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Sean Owen commented on SPARK-17546:
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{{hostname --fqdn}} doesn't work on OS X, so may b
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Sean Owen commented on SPARK-17552:
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The comments explain why one lock is used over the
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Sean Owen updated SPARK-17507:
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Assignee: Weichen Xu
Priority: Trivial (was: Major)
> check weight vector size in ANN
> --
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Sean Owen resolved SPARK-17507.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15060
[https://github.co
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Sean Owen resolved SPARK-17524.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15079
[https://github.co
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Sean Owen updated SPARK-17524:
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Assignee: Adam Roberts
Priority: Trivial (was: Minor)
> RowBasedKeyValueBatchSuite always uses 64
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Sean Owen resolved SPARK-17521.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request
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Sean Owen updated SPARK-17521:
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Assignee: Jianfei Wang
> Error when I use sparkContext.makeRDD(Seq())
> ---
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Sean Owen resolved SPARK-17406.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14969
[https://github.co
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Sean Owen updated SPARK-17536:
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Assignee: John Muller
> Minor performance improvement to JDBC batch inserts
> -
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Sean Owen updated SPARK-17406:
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Assignee: cen yuhai
> Event Timeline will be very slow when there are too many executor events
> --
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Sean Owen resolved SPARK-17536.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15098
[https://github.co
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Sean Owen updated SPARK-17534:
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Priority: Trivial (was: Minor)
> Increase timeouts for DirectKafkaStreamSuite tests
>
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Sean Owen updated SPARK-17534:
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Assignee: Adam Roberts
> Increase timeouts for DirectKafkaStreamSuite tests
> -
vimal dinakaran created SPARK-17553:
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Summary: On Master Change the running Apps goes to wait state even
though resource are available
Key: SPARK-17553
URL: https://issues.apache.org/jira/browse/SPARK-17553
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Srinivas Rishindra Pothireddi updated SPARK-17538:
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Labels: pyspark (was: )
> sqlContext.registerDataFrameAsTable
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Sean Owen resolved SPARK-17505.
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Resolution: Won't Fix
> Add setBins for BinaryClassificationMetrics in mlllb/evaluation
> ---
Sankar Mittapally created SPARK-17554:
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Summary: spark.executor.memory option not working
Key: SPARK-17554
URL: https://issues.apache.org/jira/browse/SPARK-17554
Project: Spark
Issue Type
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Sean Owen resolved SPARK-17554.
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Resolution: Invalid
Questions should go to user@. Without seeing how you're running the job or what
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Sean Owen updated SPARK-17538:
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Shepherd: (was: Matei Zaharia)
Flags: (was: Important)
Affects Version/
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cen yuhai updated SPARK-17501:
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Priority: Minor (was: Major)
> Re-register BlockManager again and again
>
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Sean Owen updated SPARK-17523:
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Fix Version/s: (was: 2.0.1)
Component/s: (was: Spark Core)
> Cannot get Spark build info
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cen yuhai edited comment on SPARK-17501 at 9/15/16 9:19 AM:
I
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Sean Owen updated SPARK-17281:
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Priority: Minor (was: Major)
What's the use case, just consistency? why not on more jobs than just the
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Apache Spark commented on SPARK-17501:
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User 'cenyuhai' has created a pull request f
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Apache Spark reassigned SPARK-17501:
Assignee: Apache Spark
> Re-register BlockManager again and again
> --
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Apache Spark reassigned SPARK-17501:
Assignee: (was: Apache Spark)
> Re-register BlockManager again and again
> ---
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Apache Spark commented on SPARK-17406:
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User 'srowen' has created a pull request for
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Weichen Xu commented on SPARK-17281:
because currently, the AFTSuvivalRegression use
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Srinivas Rishindra Pothireddi commented on SPARK-17538:
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Hi [~srowe
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Oussama Mekni commented on SPARK-16297:
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some updates about ?
> Mapping Boolean an
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Srinivas Rishindra Pothireddi updated SPARK-17538:
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Description:
I have a production job in spark 1.6.2 that regist
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Srinivas Rishindra Pothireddi commented on SPARK-17538:
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Hi [~srowe
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Jonathan Taws commented on SPARK-15917:
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Hi Andrew,
Your 2 suggestions make a lot
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Jonathan Taws commented on SPARK-15917:
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I didn't create a specific pull request fo
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Brady Auen commented on SPARK-17544:
That looks like my issue too, thanks Josh!
> T
Brad Willard created SPARK-17555:
Summary: ExternalShuffleBlockResolver fails randomly with External
Shuffle Service and Dynamic Resource Allocation on Mesos running under Marathon
Key: SPARK-17555
URL: https://i
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Herman van Hovell updated SPARK-17544:
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Description:
I have an application that loops through a text file to find files in S3 a
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Jonathan Taws edited comment on SPARK-15917 at 9/15/16 4:05 PM:
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Apache Spark reassigned SPARK-17458:
Assignee: Apache Spark
> Alias specified for aggregates in a pivot are not honored
> -
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Apache Spark reassigned SPARK-17458:
Assignee: (was: Apache Spark)
> Alias specified for aggregates in a pivot are not hono
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Apache Spark commented on SPARK-17458:
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User 'aray' has created a pull request for t
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Apache Spark reassigned SPARK-17549:
Assignee: Apache Spark
> InMemoryRelation doesn't scale to large tables
>
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Apache Spark reassigned SPARK-17549:
Assignee: (was: Apache Spark)
> InMemoryRelation doesn't scale to large tables
> -
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Apache Spark commented on SPARK-17549:
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User 'vanzin' has created a pull request for
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holdenk commented on SPARK-16407:
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I think its important to keep in mind that these APIs
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Shixiong Zhu resolved SPARK-17451.
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Resolution: Fixed
Assignee: Tejas Patil
Fix Version/s: 2.1.0
> CoarseGrainedExe
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Shixiong Zhu resolved SPARK-17379.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Upgrade netty-all to 4.0.41.Final (4.1.5-Final
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Josh Rosen resolved SPARK-17547.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
1.6.3
Iss
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Herman van Hovell resolved SPARK-17114.
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Resolution: Fixed
Assignee: Herman van Hovell
Fix Version/s: 2.1.0
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Herman van Hovell resolved SPARK-17429.
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Resolution: Fixed
Assignee: cen yuhai
Fix Version/s: 2.1.0
> spark sq
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Josh Rosen updated SPARK-17483:
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Fix Version/s: 2.0.1
> Minor refactoring and cleanup in BlockManager block status reporting and
> bl
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Josh Rosen resolved SPARK-17484.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull reque
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Herman van Hovell resolved SPARK-17364.
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Resolution: Fixed
Assignee: Sean Zhong
Fix Version/s: 2.1.0
Reynold Xin created SPARK-17556:
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Summary: Executor side broadcast for broadcast joins
Key: SPARK-17556
URL: https://issues.apache.org/jira/browse/SPARK-17556
Project: Spark
Issue Type: New Fea
Egor Pahomov created SPARK-17557:
Summary: SQL query on parquet table
java.lang.UnsupportedOperationException:
org.apache.parquet.column.values.dictionary.PlainValuesDictionary
Key: SPARK-17557
URL: https://issue
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Herman van Hovell resolved SPARK-17458.
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Resolution: Fixed
Fix Version/s: 2.1.0
I cannot find the JIRA username of the
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Andrew Ray commented on SPARK-17458:
It's a1ray
> Alias specified for aggregates in
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Herman van Hovell updated SPARK-17458:
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Assignee: Herman van Hovell
> Alias specified for aggregates in a pivot are not honored
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Andrew Ray edited comment on SPARK-17458 at 9/15/16 8:09 PM:
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Apache Spark commented on SPARK-17508:
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User 'BryanCutler' has created a pull reques
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Apache Spark reassigned SPARK-17508:
Assignee: (was: Apache Spark)
> Setting weightCol to None in ML library causes an erro
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Apache Spark reassigned SPARK-17508:
Assignee: Apache Spark
> Setting weightCol to None in ML library causes an error
> ---
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Michael Armbrust edited comment on SPARK-16407 at 9/15/16 8:42 PM:
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Michael Armbrust commented on SPARK-16407:
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Sure, but the bar for compatibility
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Josh Rosen resolved SPARK-17544.
Resolution: Invalid
This is caused by a bug in the third-party {{spark-avro}} data source. I'm
goi
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Jakob Odersky commented on SPARK-16264:
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I just came across this issue through a co
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Andrew Ray updated SPARK-17458:
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Comment: was deleted
(was: [~hvanhovell] It's a1ray)
> Alias specified for aggregates in a pivot are
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Andrew Ray commented on SPARK-17458:
[~hvanhovell]: My JIRA username is a1ray.
> Ali
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Apache Spark commented on SPARK-17473:
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User 'sureshthalamati' has created a pull re
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Apache Spark reassigned SPARK-17473:
Assignee: Apache Spark
> jdbc docker tests are failing with java.lang.AbstractMethodError:
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Apache Spark reassigned SPARK-17473:
Assignee: (was: Apache Spark)
> jdbc docker tests are failing with java.lang.AbstractM
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Herman van Hovell updated SPARK-17458:
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Assignee: (was: Herman van Hovell)
> Alias specified for aggregates in a pivot are
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Nathan Beyer updated SPARK-17545:
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Summary: Spark SQL Catalyst doesn't handle ISO 8601 date without colon in
offset (was: Spark SQL
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Nathan Beyer commented on SPARK-17545:
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As a workaround, the following format can be
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Gang Wu commented on SPARK-17477:
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Just confirmed that this also doesn't work with vector
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Josh Rosen commented on SPARK-17544:
3.0.1 release fixing this should be available no
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Frederick Reiss commented on SPARK-16407:
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With respect, I'm not seeing a whole l
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Reynold Xin commented on SPARK-16534:
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[~maver1ck] thanks for the comment. That's a g
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https://issues.apache.org/jira/browse/SPARK-15689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-15689:
Target Version/s: 2.2.0 (was: 2.1.0)
> Data source API v2
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>
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https://issues.apache.org/jira/browse/SPARK-16407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495006#comment-15495006
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Reynold Xin commented on SPARK-16407:
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The source/sink interface currently depends on
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https://issues.apache.org/jira/browse/SPARK-10815?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-10815:
Description:
The existing (in 2.0) source/sink interface for structured streaming depends on
RDDs.
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https://issues.apache.org/jira/browse/SPARK-10816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495011#comment-15495011
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Reynold Xin commented on SPARK-10816:
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I guess window specification was done, but ses
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https://issues.apache.org/jira/browse/SPARK-10815?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-10815:
Description:
The existing source/sink interface for structured streaming depends on RDDs.
This dep
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https://issues.apache.org/jira/browse/SPARK-15472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495015#comment-15495015
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Reynold Xin commented on SPARK-15472:
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This is done in 2.0, isn't it?
cc [~zsxwing]
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https://issues.apache.org/jira/browse/SPARK-10816?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495032#comment-15495032
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Tathagata Das commented on SPARK-10816:
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Yeah, its yet to be designed.
> API desig
Reynold Xin created SPARK-17558:
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Summary: Bump Hadoop 2.7 version from 2.7.2 to 2.7.3
Key: SPARK-17558
URL: https://issues.apache.org/jira/browse/SPARK-17558
Project: Spark
Issue Type: New Fea
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https://issues.apache.org/jira/browse/SPARK-17558?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17558:
Assignee: Reynold Xin (was: Apache Spark)
> Bump Hadoop 2.7 version from 2.7.2 to 2.7.3
>
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https://issues.apache.org/jira/browse/SPARK-17558?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17558:
Assignee: Apache Spark (was: Reynold Xin)
> Bump Hadoop 2.7 version from 2.7.2 to 2.7.3
>
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https://issues.apache.org/jira/browse/SPARK-17558?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495125#comment-15495125
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Apache Spark commented on SPARK-17558:
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User 'rxin' has created a pull request for t
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https://issues.apache.org/jira/browse/SPARK-5484?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495131#comment-15495131
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ding commented on SPARK-5484:
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I will work on the issue if nobody took it.
> Pregel should ch
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https://issues.apache.org/jira/browse/SPARK-17522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495243#comment-15495243
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Saisai Shao commented on SPARK-17522:
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[~sunrui] I think the performance is depended
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https://issues.apache.org/jira/browse/SPARK-17522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15495243#comment-15495243
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Saisai Shao edited comment on SPARK-17522 at 9/16/16 3:19 AM:
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ding created SPARK-17559:
Summary: PeriodicGraphCheckpointer didnot persist edges as
expected in some cases
Key: SPARK-17559
URL: https://issues.apache.org/jira/browse/SPARK-17559
Project: Spark
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