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Apache Spark reassigned SPARK-16619:
Assignee: (was: Apache Spark)
> Add shuffle service metrics entry in monitoring docs
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Apache Spark commented on SPARK-16619:
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User 'lovexi' has created a pull request for this issue:
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Reynold Xin commented on SPARK-16216:
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How does this work with JSON?
> CSV data source does not
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Apache Spark reassigned SPARK-16619:
Assignee: Apache Spark
> Add shuffle service metrics entry in monitoring docs
>
YangyangLiu created SPARK-16619:
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Summary: Add shuffle service metrics entry in monitoring docs
Key: SPARK-16619
URL: https://issues.apache.org/jira/browse/SPARK-16619
Project: Spark
Issue
mahendra singh created SPARK-16618:
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Summary: Binary classification using Naive bayes
Key: SPARK-16618
URL: https://issues.apache.org/jira/browse/SPARK-16618
Project: Spark
Issue Type: Bug
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zunwen you commented on SPARK-16495:
I am working on it. I am going to use the implemented ADMM in
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Hyukjin Kwon edited comment on SPARK-16610 at 7/19/16 2:02 AM:
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Thank you
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Hyukjin Kwon commented on SPARK-16610:
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Yea, actually I pointed this out in the PR. Check out this
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Kevin Zhang commented on SPARK-13514:
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yes file:// does exsit and this is definitely a work around.
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Reynold Xin resolved SPARK-16615.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Expose sqlContext in
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Reynold Xin resolved SPARK-16590.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Improve
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Joseph K. Bradley commented on SPARK-14816:
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SGTM I just sent
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Joseph K. Bradley reassigned SPARK-14816:
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Assignee: Joseph K. Bradley
> Update MLlib, GraphX, SparkR websites for 2.0
>
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Xiangrui Meng updated SPARK-16579:
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Assignee: Junyang Qian
> Add a spark install function
>
>
>
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Apache Spark reassigned SPARK-16617:
Assignee: Apache Spark
> Upgrade to Avro 1.8.x
> -
>
>
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Apache Spark reassigned SPARK-16617:
Assignee: (was: Apache Spark)
> Upgrade to Avro 1.8.x
> -
>
>
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Apache Spark commented on SPARK-16617:
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User 'benmccann' has created a pull request for this issue:
Ben McCann created SPARK-16617:
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Summary: Upgrade to Avro 1.8.x
Key: SPARK-16617
URL: https://issues.apache.org/jira/browse/SPARK-16617
Project: Spark
Issue Type: Improvement
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Reynold Xin commented on SPARK-16321:
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Can you try again and set spark.sql.parquet.filterPushdown to
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Reynold Xin commented on SPARK-16321:
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hm I wonder if this is related to predicate pushdown in
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Weiqiang Zhuang commented on SPARK-16611:
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To answer @shivaram's question: we are calling lapply
Russell Spitzer created SPARK-16616:
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Summary: Allow Catalyst to take Advantage of Hash Partitioned
DataSources
Key: SPARK-16616
URL: https://issues.apache.org/jira/browse/SPARK-16616
Project:
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Apache Spark commented on SPARK-16615:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16615:
Assignee: Apache Spark (was: Reynold Xin)
> Expose sqlContext in SparkSession
>
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Apache Spark reassigned SPARK-16615:
Assignee: Reynold Xin (was: Apache Spark)
> Expose sqlContext in SparkSession
>
Reynold Xin created SPARK-16615:
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Summary: Expose sqlContext in SparkSession
Key: SPARK-16615
URL: https://issues.apache.org/jira/browse/SPARK-16615
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-16602:
Assignee: Apache Spark
> Spark2.0-error occurs when execute the sql statement which
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Apache Spark reassigned SPARK-16602:
Assignee: (was: Apache Spark)
> Spark2.0-error occurs when execute the sql statement
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Apache Spark commented on SPARK-16602:
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User 'dongjoon-hyun' has created a pull request for this
Russell Spitzer created SPARK-16614:
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Summary: DirectJoin with DataSource for SparkSQL
Key: SPARK-16614
URL: https://issues.apache.org/jira/browse/SPARK-16614
Project: Spark
Issue Type:
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Dongjoon Hyun commented on SPARK-16602:
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Right. I get the same result with you for the following
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Alex Krasnyansky updated SPARK-16613:
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Description:
Suppose we have such Spark code
{code}
object PipeExample {
def
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Alex Krasnyansky updated SPARK-16613:
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Description:
Suppose we have such Spark code
{code}
object PipeExample {
def
Alex Krasnyansky created SPARK-16613:
Summary: A bug in RDD pipe operation
Key: SPARK-16613
URL: https://issues.apache.org/jira/browse/SPARK-16613
Project: Spark
Issue Type: Bug
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Ruben Janssen edited comment on SPARK-9120 at 7/18/16 9:25 PM:
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Bumping this
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Ruben Janssen edited comment on SPARK-9120 at 7/18/16 9:18 PM:
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Bumping this
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Ruben Janssen edited comment on SPARK-9120 at 7/18/16 9:16 PM:
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Bumping this
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Xin Wu edited comment on SPARK-16605 at 7/18/16 9:17 PM:
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The current issue for
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Xin Wu commented on SPARK-16605:
The current issue for dealing with ORC data inserted by Hive is that the
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Ruben Janssen commented on SPARK-9120:
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Bumping this JIRA because of the recent PR for JIRA
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Yin Huai resolved SPARK-16515.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 14249
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Yin Huai updated SPARK-16515:
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Assignee: Adrian Wang
> [SPARK][SQL] transformation script got failure for python script
>
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Shivaram Venkataraman commented on SPARK-16611:
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I think its a bit different as SPARK-16581
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Felix Cheung commented on SPARK-16611:
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Is this SPARK-16581?
> Expose several hidden DataFrame/RDD
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Marcelo Vanzin resolved SPARK-16612.
Resolution: Duplicate
> Introduce a way for users to easily add support for new services
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Apache Spark commented on SPARK-16515:
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User 'yhuai' has created a pull request for this issue:
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Shivaram Venkataraman commented on SPARK-16581:
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Importing comment from SPARK-16608
{code}
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Shivaram Venkataraman resolved SPARK-16608.
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Resolution: Duplicate
> Expose JVM SparkR API functions
>
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Shivaram Venkataraman commented on SPARK-16608:
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[~olarayej] I'm marking this as duplicate
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Oscar D. Lara Yejas updated SPARK-16611:
Description:
Expose the following functions:
- lapply or map
- lapplyPartition or
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Oscar D. Lara Yejas updated SPARK-16608:
Description:
Expose the following functions:
- invokeJava
- callJStatic
-
Oscar D. Lara Yejas created SPARK-16611:
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Summary: Expose several hidden DataFrame/RDD functions
Key: SPARK-16611
URL: https://issues.apache.org/jira/browse/SPARK-16611
Project: Spark
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Oscar D. Lara Yejas updated SPARK-16608:
Description:
Expose the following functions:
- invokeJava
- callJStatic
-
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Oscar D. Lara Yejas updated SPARK-16608:
Description:
- invokeJava
- callJStatic
- callJMethod
- cleanup.jobj
- broadcast
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Oscar D. Lara Yejas updated SPARK-16608:
Summary: Expose JVM SparkR API functions (was: Expose some low-level
SparkR
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Yin Huai commented on SPARK-16610:
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[~hyukjin.kwon] Will you have time to take a look at this bug? Thank
Yin Huai created SPARK-16610:
Summary: When writing ORC files, orc.compress should not be
overridden if users do not set "compression" in the options
Key: SPARK-16610
URL:
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https://issues.apache.org/jira/browse/SPARK-15581?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-15581:
Description:
This is a master list for MLlib improvements we are working on for the next
release. Please
Michael Armbrust created SPARK-16609:
Summary: Single function for parsing timestamps/dates
Key: SPARK-16609
URL: https://issues.apache.org/jira/browse/SPARK-16609
Project: Spark
Issue
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Michael Armbrust updated SPARK-16609:
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Target Version/s: 2.1.0
> Single function for parsing timestamps/dates
>
Oscar D. Lara Yejas created SPARK-16608:
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Summary: Expose some low-level SparkR functions
Key: SPARK-16608
URL: https://issues.apache.org/jira/browse/SPARK-16608
Project: Spark
Issue
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Martin Tapp commented on SPARK-16394:
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We found it also happens when you take a python datetime and
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Shivaram Venkataraman commented on SPARK-14816:
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Yeah I'm fine with spending more effort on
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Yin Huai resolved SPARK-16301.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Analyzer rule for resolving using joins should respect
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Yin Huai commented on SPARK-16301:
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oh yes. Thank you for pinging me.
> Analyzer rule for resolving
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Dongjoon Hyun commented on SPARK-16418:
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Thanks.
> DataFrame.filter fails if it references a
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Dongjoon Hyun commented on SPARK-16589:
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For me, it looks good to me. In the PR, you can get
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Erik Wright commented on SPARK-16418:
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Sorry, perhaps I confused things by showing something that
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Shivaram Venkataraman commented on SPARK-15799:
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Yeah - so the assumption is that the user
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Apache Spark reassigned SPARK-16589:
Assignee: (was: Apache Spark)
> Chained cartesian produces incorrect number of
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Apache Spark commented on SPARK-16589:
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User 'zero323' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16589:
Assignee: Apache Spark
> Chained cartesian produces incorrect number of records
>
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Maciej Szymkiewicz commented on SPARK-16589:
[~dongjoon] I'll work on that but I am not
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Amit Sela commented on SPARK-16607:
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Copy of the thread discussing this in the user mailing list:
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Amit Sela commented on SPARK-15810:
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opened https://issues.apache.org/jira/browse/SPARK-16607
>
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Amit Sela updated SPARK-16607:
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Description:
Java code example:
{code}
SparkSession session = SparkSession.builder()
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Shivaram Venkataraman resolved SPARK-16055.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue
Amit Sela created SPARK-16607:
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Summary: Aggregator with null initialisation will result in null
Key: SPARK-16607
URL: https://issues.apache.org/jira/browse/SPARK-16607
Project: Spark
Issue
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Bryan Cutler commented on SPARK-16421:
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Yeah, I'm working on it now
> Improve output from ML
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Yin Huai updated SPARK-16351:
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Assignee: Hyukjin Kwon
> Avoid record-per type dispatch in JSON when writing
>
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Joseph K. Bradley edited comment on SPARK-14816 at 7/18/16 4:49 PM:
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Yin Huai resolved SPARK-16351.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14028
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Shivaram Venkataraman updated SPARK-16055:
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Assignee: Krishna Kalyan
> sparkR.init() can not load sparkPackages when
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 3:54 PM:
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OK.
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 3:48 PM:
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OK.
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 3:44 PM:
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OK.
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Daniel Bruckner commented on SPARK-14699:
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Any plans to backport to 1.6? Was resolved in April
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Bryński updated SPARK-16321:
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Attachment: Spark16.nps
Spark2.nps
> Pyspark 2.0 performance drop vs pyspark
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382429#comment-15382429
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 3:17 PM:
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OK.
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382429#comment-15382429
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 3:14 PM:
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OK.
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382429#comment-15382429
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 3:14 PM:
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OK.
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382429#comment-15382429
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 3:13 PM:
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OK.
I
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Bryński updated SPARK-16321:
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Attachment: spark16._trace.png
spark2_trace.png
> Pyspark 2.0 performance
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382429#comment-15382429
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Maciej Bryński commented on SPARK-16321:
OK.
I think that I found difference.
1) I tested
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https://issues.apache.org/jira/browse/SPARK-16532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382408#comment-15382408
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Joao Vasques commented on SPARK-16532:
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[~apachespark] any hints on this? Thanks
> Provide a REST
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https://issues.apache.org/jira/browse/SPARK-14464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382382#comment-15382382
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Daniel Siegmann commented on SPARK-14464:
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Nick, thanks for pointing out this issue. Looks like
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https://issues.apache.org/jira/browse/SPARK-16606?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382346#comment-15382346
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Jacek Laskowski commented on SPARK-16606:
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On it. Thanks.
> Misleading warning for
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https://issues.apache.org/jira/browse/SPARK-16321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15382113#comment-15382113
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Maciej Bryński edited comment on SPARK-16321 at 7/18/16 2:12 PM:
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OK. I
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Maciej Bryński updated SPARK-16321:
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Attachment: visualvm_spark2_G1GC.png
> Pyspark 2.0 performance drop vs pyspark 1.6
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