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Xiangrui Meng resolved SPARK-4486.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3374
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Xiangrui Meng updated SPARK-4486:
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Assignee: Xiangrui Meng
Improve GradientBoosting APIs and doc
Fan Jiang created SPARK-4510:
Summary: Add k-medoids Partitioning Around Medoids (PAM) algorithm
Key: SPARK-4510
URL: https://issues.apache.org/jira/browse/SPARK-4510
Project: Spark
Issue Type:
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Fan Jiang updated SPARK-4510:
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Description:
PAM (k-medoids) is more robust to noise and outliers as compared to k-means
because it
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Jean-Philippe Quemener updated SPARK-4494:
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Affects Version/s: 1.1.0
IDFModel.transform() add support for single vector
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Fan Jiang updated SPARK-4510:
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Description:
PAM (k-medoids) is more robust to noise and outliers as compared to k-means
because it
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Tathagata Das updated SPARK-4481:
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Assignee: Shixiong Zhu
Some comments for `updateStateByKey` are wrong
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Tathagata Das resolved SPARK-4481.
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Resolution: Fixed
Fix Version/s: 1.2.0
Some comments for `updateStateByKey` are wrong
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Apache Spark commented on SPARK-4510:
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User 'fjiang6' has created a pull request for
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Sean Owen commented on SPARK-4492:
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You don't run apps with java -cp ...; use
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Sean Owen commented on SPARK-4501:
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Automatically setting up zinc sounds like a good idea
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Sean Owen commented on SPARK-4490:
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So, in general, you have to supply your own
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hoelog updated SPARK-4511:
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Description:
executors failed with *Could not initialize class org.xerial.snappy.Snappy* or
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hoelog updated SPARK-4511:
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Description:
executors failed with *Could not initialize class org.xerial.snappy.Snappy* or
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George Kyriacou commented on SPARK-4499:
Spark 1.2.0 built with the command: mvn
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Lars Albertsson commented on SPARK-2579:
Is this problem solved by enabling the
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Kai Sasaki commented on SPARK-4490:
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I found the reason why this error is occurred. The
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Sean Owen commented on SPARK-4489:
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This looks like
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Sean Owen commented on SPARK-4490:
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Not sure... if breeze depends on it then it would be
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sam commented on SPARK-4492:
Well I do try to package Spark in my jar (had to fight an epic
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sam commented on SPARK-4491:
Could you please provide a magic template sbt build file that
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Sean Owen commented on SPARK-4492:
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OK, it may then be that you package some of spark,
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sam commented on SPARK-4492:
// OK, it may then be that you package some of spark, but not the
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sam commented on SPARK-4492:
// 1) Don't embed Hadoop, Spark libraries in your app
...
3) Run
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hoelog commented on SPARK-4354:
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I have the similar problem. the snappy 1.0.5.with-in spark
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hoelog commented on SPARK-4354:
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In my case, I compiled spark 1.1 in the system which has
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hoelog commented on SPARK-4511:
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similar problem. the prebuild sparks have the snappy 1.0.5
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hoelog closed SPARK-4511.
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Resolution: Not a Problem
to upgrade libstdc++ or to compile with lower version of libstdc++ may help.
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hoelog edited comment on SPARK-4354 at 11/20/14 2:02 PM:
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In my
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hoelog commented on SPARK-4354:
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Changing codec to LZ4 will also help.
I also tested it.
Cheng Hao created SPARK-4512:
Summary: Unresolved Attribute Exception for sort by
Key: SPARK-4512
URL: https://issues.apache.org/jira/browse/SPARK-4512
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-4512:
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User 'chenghao-intel' has created a pull
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Ángel Álvarez commented on SPARK-1825:
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I've had the following problems to make
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Ángel Álvarez edited comment on SPARK-1825 at 11/20/14 3:38 PM:
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Arun Ahuja commented on SPARK-3837:
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There might still be a related issue here, in the
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Arun Ahuja edited comment on SPARK-3837 at 11/20/14 4:19 PM:
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Andrew Or commented on SPARK-4506:
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Thanks for filing this Josh. It is actually supported
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Andrew Or updated SPARK-1825:
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Target Version/s: 1.3.0
Fix Version/s: (was: 1.2.0)
Windows Spark fails to work with Linux
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Xiangrui Meng commented on SPARK-4510:
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[~fjiang6] Could you explain the complexity
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Hector Yee commented on SPARK-3633:
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I'm still seeing a similar error in spark 1.2 rc2
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Tianshuo Deng edited comment on SPARK-4452 at 11/20/14 6:57 PM:
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Tianshuo Deng commented on SPARK-4452:
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Hi, [~matei]:
Hi, Matei
My way of
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Debasish Das commented on SPARK-4231:
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[~srowen] I added batch predict APIs for user
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Hector Yee commented on SPARK-3633:
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I think it may be a different bug.. looked at the
Ravindra Pesala created SPARK-4513:
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Summary: Support relational operator '=' in Spark SQL
Key: SPARK-4513
URL: https://issues.apache.org/jira/browse/SPARK-4513
Project: Spark
Issue Type:
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Ravindra Pesala updated SPARK-4513:
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Component/s: SQL
Support relational operator '=' in Spark SQL
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Apache Spark commented on SPARK-4513:
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User 'ravipesala' has created a pull request
Erik Erlandson created SPARK-4514:
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Summary: ComplexFutureAction does not preserve job group IDs
Key: SPARK-4514
URL: https://issues.apache.org/jira/browse/SPARK-4514
Project: Spark
Issue
Nishkam Ravi created SPARK-4515:
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Summary: OOM/GC errors with sort-based shuffle
Key: SPARK-4515
URL: https://issues.apache.org/jira/browse/SPARK-4515
Project: Spark
Issue Type: Bug
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Reynold Xin updated SPARK-4515:
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Description:
OOM/GC errors with sort-based shuffle that go away when shuffle.manager is set
to hash.
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Nishkam Ravi updated SPARK-4515:
Description:
OOM/GC errors with sort-based shuffle that go away when shuffle.manager is set
to
Hector Yee created SPARK-4516:
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Summary: Race condition in netty
Key: SPARK-4516
URL: https://issues.apache.org/jira/browse/SPARK-4516
Project: Spark
Issue Type: Bug
Components:
Davies Liu created SPARK-4517:
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Summary: Improve memory efficiency for python broadcast
Key: SPARK-4517
URL: https://issues.apache.org/jira/browse/SPARK-4517
Project: Spark
Issue Type:
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Hector Yee updated SPARK-4516:
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Affects Version/s: (was: 1.1.0)
1.1.1
Race condition in netty
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Davies Liu commented on SPARK-4517:
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cc [~joshrosen]
Improve memory efficiency for
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Josh Rosen updated SPARK-4515:
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Priority: Blocker (was: Major)
Target Version/s: 1.2.0
I'm promoting this to a 1.2 blocker
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Nishkam Ravi commented on SPARK-4515:
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I run a slightly modified version of PageRank,
Tathagata Das created SPARK-4518:
Summary: Filestream sometimes processes files twice
Key: SPARK-4518
URL: https://issues.apache.org/jira/browse/SPARK-4518
Project: Spark
Issue Type: Bug
Tathagata Das created SPARK-4519:
Summary: Filestream does not use hadoop configuration set within
sparkContext.hadoopConfiguration
Key: SPARK-4519
URL: https://issues.apache.org/jira/browse/SPARK-4519
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Tathagata Das updated SPARK-4518:
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Component/s: Streaming
Filestream sometimes processes files twice
sadhan sood created SPARK-4520:
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Summary: SparkSQL exception when reading certain columns from a
parquet file
Key: SPARK-4520
URL: https://issues.apache.org/jira/browse/SPARK-4520
Project: Spark
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Hector Yee updated SPARK-4516:
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Affects Version/s: (was: 1.1.1)
1.2.0
Race condition in netty
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sadhan sood updated SPARK-4520:
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Attachment: part-r-0.parquet
Attaching a sample parquet file which can be used to reproduce the
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Apache Spark commented on SPARK-4518:
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User 'tdas' has created a pull request for this
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Apache Spark commented on SPARK-4519:
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User 'tdas' has created a pull request for this
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Michael Armbrust updated SPARK-4520:
Affects Version/s: 1.2.0
SparkSQL exception when reading certain columns from a parquet
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Michael Armbrust updated SPARK-4520:
Priority: Critical (was: Major)
SparkSQL exception when reading certain columns from a
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Michael Armbrust updated SPARK-4520:
Description:
I am seeing this issue with spark sql throwing an exception when trying to
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Michael Armbrust updated SPARK-3839:
Target Version/s: 1.3.0 (was: 1.2.0)
Reimplement HashOuterJoin to construct hash table of
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Nicholas Chammas commented on SPARK-3431:
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[~joshrosen] - Per [this comment |
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Michael Armbrust resolved SPARK-3938.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3383
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Andrew Or commented on SPARK-4516:
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Hey [~hector.yee] so what is the race condition?
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Hector Yee commented on SPARK-4516:
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The channel is marked as inactive while it is being
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Patrick Wendell updated SPARK-4516:
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Priority: Critical (was: Major)
Race condition in netty
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Patrick Wendell updated SPARK-4516:
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Target Version/s: 1.2.0
Race condition in netty
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Reynold Xin updated SPARK-4516:
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Description:
The netty block transfer manager has a race condition where it closes an active
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Michael Armbrust resolved SPARK-4228.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3213
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Josh Rosen commented on SPARK-3431:
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[~nchammas]: It's been a while since I tried that
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Tianshuo Deng commented on SPARK-4452:
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Here is a link of the diff:
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Patrick Wendell updated SPARK-2630:
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Target Version/s: 1.3.0 (was: 1.2.0)
Input data size of CoalescedRDD is incorrect
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Tianshuo Deng edited comment on SPARK-4452 at 11/20/14 9:51 PM:
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Patrick Wendell updated SPARK-2630:
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Target Version/s: 1.3.0, 1.2.1 (was: 1.3.0)
Input data size of CoalescedRDD is incorrect
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Aaron Davidson commented on SPARK-4516:
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The code in question, despite the log
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Aaron Davidson commented on SPARK-4516:
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Also ideally there would be some other
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Hector Yee commented on SPARK-4516:
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Digging deeper it looks like you are right, the
Michael Armbrust created SPARK-4521:
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Summary: Parquet fails to read columns with spaces in the name
Key: SPARK-4521
URL: https://issues.apache.org/jira/browse/SPARK-4521
Project: Spark
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Apache Spark commented on SPARK-3697:
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User 'vanzin' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-4038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14220187#comment-14220187
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Joseph K. Bradley commented on SPARK-4038:
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+1 for getting some outlier detection
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https://issues.apache.org/jira/browse/SPARK-4174?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14220196#comment-14220196
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Hari Shreedharan commented on SPARK-4174:
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[~tdas] Comments?
If we can agree on
Michael Armbrust created SPARK-4522:
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Summary: Failure to read parquet schema with missing metadata.
Key: SPARK-4522
URL: https://issues.apache.org/jira/browse/SPARK-4522
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-4514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-4514:
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Priority: Critical (was: Major)
Target Version/s: 1.1.1, 1.2.0
Affects Version/s:
Michael Armbrust created SPARK-4523:
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Summary: Improve handling of serialized schema information
Key: SPARK-4523
URL: https://issues.apache.org/jira/browse/SPARK-4523
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-4128?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell resolved SPARK-4128.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Patrick Wendell
I updated
Josh Rosen created SPARK-4524:
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Summary: Add documentation on packaging Python dependencies /
installing them on clusters
Key: SPARK-4524
URL: https://issues.apache.org/jira/browse/SPARK-4524
Project:
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https://issues.apache.org/jira/browse/SPARK-4522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14220220#comment-14220220
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Apache Spark commented on SPARK-4522:
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User 'marmbrus' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-4439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-4439.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3320
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https://issues.apache.org/jira/browse/SPARK-4513?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-4513.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3387
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https://issues.apache.org/jira/browse/SPARK-4479?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14220229#comment-14220229
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Patrick Wendell commented on SPARK-4479:
I did some research into this. In the
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https://issues.apache.org/jira/browse/SPARK-4038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14220232#comment-14220232
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Anant Daksh Asthana commented on SPARK-4038:
So AVF is based on k-modes for
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https://issues.apache.org/jira/browse/SPARK-4516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hector Yee updated SPARK-4516:
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Summary: Lost task with netty (was: Race condition in netty)
Lost task with netty
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