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Wenchen Fan resolved SPARK-16888.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14486
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Wenchen Fan updated SPARK-16888:
Assignee: Sean Zhong
> Implements eval method for expression AssertNotNull
>
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Kapil Singh commented on SPARK-16876:
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Yes these are similar, but SPARK-16203 is for PySpark while
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Sean Owen commented on SPARK-16798:
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That's odd to be sure. It's as if the distributePartition function
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Sean Owen commented on SPARK-13710:
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Possibly related to
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Apache Spark commented on SPARK-16888:
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User 'clockfly' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16888:
Assignee: (was: Apache Spark)
> Implements eval method for expression AssertNotNull
>
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Apache Spark reassigned SPARK-16888:
Assignee: Apache Spark
> Implements eval method for expression AssertNotNull
>
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Sean Owen commented on SPARK-16885:
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I'm pretty certain it's because you specified a directory, not a
Sean Zhong created SPARK-16888:
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Summary: Implements eval method for expression AssertNotNull
Key: SPARK-16888
URL: https://issues.apache.org/jira/browse/SPARK-16888
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-16887?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15407053#comment-15407053
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Apache Spark commented on SPARK-16887:
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User 'yhuai' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16610?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15407043#comment-15407043
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Hyukjin Kwon commented on SPARK-16610:
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Actually, my initial proposal of the above was including
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Yin Huai reassigned SPARK-16887:
Assignee: Yin Huai
> Add SPARK_DIST_CLASSPATH to LAUNCH_CLASSPATH
>
Yin Huai created SPARK-16887:
Summary: Add SPARK_DIST_CLASSPATH to LAUNCH_CLASSPATH
Key: SPARK-16887
URL: https://issues.apache.org/jira/browse/SPARK-16887
Project: Spark
Issue Type: Bug
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Ganesh Chand commented on SPARK-16886:
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Submitted a pull request -
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Apache Spark reassigned SPARK-16886:
Assignee: (was: Apache Spark)
> StructuredNetworkWordCount code comment incorrectly
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Apache Spark commented on SPARK-16886:
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User 'ganeshchand' has created a pull request for this
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Apache Spark reassigned SPARK-16886:
Assignee: Apache Spark
> StructuredNetworkWordCount code comment incorrectly refers to
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Apache Spark reassigned SPARK-16877:
Assignee: (was: Apache Spark)
> Add a rule for preventing use Java's Override
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Apache Spark reassigned SPARK-16877:
Assignee: Apache Spark
> Add a rule for preventing use Java's Override annotation
>
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Apache Spark commented on SPARK-16877:
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User 'HyukjinKwon' has created a pull request for this
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Reynold Xin resolved SPARK-16873.
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Resolution: Fixed
Assignee: sharkd tu
Fix Version/s: 2.1.0
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Ganesh Chand updated SPARK-16886:
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Description:
Both StructuredNetworkWordCount.scala and StructuredNetworkWordCount.java has
the
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Ganesh Chand updated SPARK-16886:
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Description:
Both StructuredNetworkWordCount.scala and StructuredNetworkWordCount.java has
the
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Charles Allen edited comment on SPARK-16798 at 8/4/16 1:41 AM:
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[~srowen] I
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Charles Allen commented on SPARK-16798:
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[~srowen] I manually went in with IntelliJ debugging and
Ganesh Chand created SPARK-16886:
Summary: StructuredNetworkWordCount code comment incorrectly
refers to DataFrame instead of Dataset
Key: SPARK-16886
URL: https://issues.apache.org/jira/browse/SPARK-16886
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Yury Zhyshko updated SPARK-16885:
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Attachment: spark-env.sh
> Spark shell failed to run in yarn-client mode
>
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Yury Zhyshko updated SPARK-16885:
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Description:
I've installed Hadoop + Yarn in pseudo distributed mode following these
Yury Zhyshko created SPARK-16885:
Summary: Spark shell failed to run in yarn-client mode
Key: SPARK-16885
URL: https://issues.apache.org/jira/browse/SPARK-16885
Project: Spark
Issue Type:
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Sean Owen updated SPARK-16814:
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Priority: Minor (was: Major)
> Fix deprecated use of ParquetWriter in Parquet test suites
>
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Apache Spark reassigned SPARK-16826:
Assignee: (was: Apache Spark)
> java.util.Hashtable limits the throughput of
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Apache Spark commented on SPARK-16826:
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User 'sylvinus' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16826:
Assignee: Apache Spark
> java.util.Hashtable limits the throughput of PARSE_URL()
>
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Sean Owen updated SPARK-16814:
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Assignee: holdenk
> Fix deprecated use of ParquetWriter in Parquet test suites
>
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Sean Owen resolved SPARK-16814.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14419
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Sean Owen updated SPARK-16770:
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Assignee: Stefan Schulze
> Spark shell not usable with german keyboard due to JLine version
>
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Sean Owen resolved SPARK-16770.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Liang Ke updated SPARK-16870:
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Description:
here my workload and what I found
I run a large number jobs with spark-sql at the same
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Liang Ke updated SPARK-16870:
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Description:
here my workload and what I found
I run a large number jobs with spark-sql at the same
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Liang Ke updated SPARK-16870:
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Description:
here my workload and what I found
I run a large number jobs with spark-sql at the same
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Liang Ke commented on SPARK-16870:
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thx :) I have update it
> add "spark.sql.broadcastTimeout" into
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Liang Ke updated SPARK-16870:
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Description:
here my workload and what I found
I run a large number jobs with spark-sql at the same
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Apache Spark reassigned SPARK-16884:
Assignee: (was: Apache Spark)
> Move DataSourceScanExec out of ExistingRDD.scala file
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Apache Spark commented on SPARK-16884:
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User 'ericl' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16884?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16884:
Assignee: Apache Spark
> Move DataSourceScanExec out of ExistingRDD.scala file
>
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Eric Liang updated SPARK-16884:
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Issue Type: Improvement (was: Bug)
> Move DataSourceScanExec out of ExistingRDD.scala file
>
Eric Liang created SPARK-16884:
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Summary: Move DataSourceScanExec out of ExistingRDD.scala file
Key: SPARK-16884
URL: https://issues.apache.org/jira/browse/SPARK-16884
Project: Spark
Issue
Hossein Falaki created SPARK-16883:
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Summary: SQL decimal type is not properly cast to number when
collecting SparkDataFrame
Key: SPARK-16883
URL: https://issues.apache.org/jira/browse/SPARK-16883
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Sylvain Zimmer commented on SPARK-16700:
The verifySchema flag works great, and the {{dict}}
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Arsen Vladimirskiy edited comment on SPARK-13710 at 8/3/16 10:38 PM:
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Arsen Vladimirskiy commented on SPARK-13710:
I noticed that when using the binary package
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Arsen Vladimirskiy edited comment on SPARK-13710 at 8/3/16 10:38 PM:
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Marcelo Vanzin resolved SPARK-15344.
Resolution: Not A Problem
See Felix's reply above.
> Unable to set default log level for
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YangyangLiu commented on SPARK-16455:
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Ok. I get your point. I will wait for few days. If no one
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Apache Spark commented on SPARK-16796:
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User 'Devian-ua' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-14204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-14204:
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Fix Version/s: 2.1.0
2.0.1
> [SQL] Failure to register URL-derived JDBC driver on
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Ryan Claussen closed SPARK-16857.
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Usage error.
> CrossValidator and KMeans throws IllegalArgumentException
>
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Yin Huai updated SPARK-16646:
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Assignee: Wenchen Fan (was: Hyukjin Kwon)
> LEAST doesn't accept numeric arguments with different data
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Yin Huai resolved SPARK-16735.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request
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Yin Huai updated SPARK-16735:
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Assignee: Wenchen Fan
> Fail to create a map contains decimal type with literals having different
>
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Yin Huai resolved SPARK-16646.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request
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https://issues.apache.org/jira/browse/SPARK-16320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15406430#comment-15406430
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Michael Allman edited comment on SPARK-16320 at 8/3/16 7:02 PM:
Thank you
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Michael Allman commented on SPARK-16320:
Thank you for the new benchmarks, [~maver1ck].
The
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Maciej Bryński edited comment on SPARK-16320 at 8/3/16 7:01 PM:
You're
Brian Schrameck created SPARK-16882:
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Summary: Failures in JobGenerator Thread are Swallowed, Job Does
Not Fail
Key: SPARK-16882
URL: https://issues.apache.org/jira/browse/SPARK-16882
Project:
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Maciej Bryński edited comment on SPARK-16320 at 8/3/16 6:50 PM:
You're
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Kay Ousterhout commented on SPARK-16455:
Given that this feature is only needed for an internal
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Maciej Bryński commented on SPARK-16320:
Yes.
I also added Spark 1.6 with G1GC.
Have in mind that
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Joseph K. Bradley commented on SPARK-16578:
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[~junyangq] has done some work on this. [~wm624]
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Yin Huai commented on SPARK-16714:
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[~petermaxlee] Can you create a new jira for your pr? I just merged
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Davies Liu resolved SPARK-16596.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14241
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Thomas Sebastian commented on SPARK-16753:
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[~jurriaanpruis]try a repartition before your
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Yin Huai resolved SPARK-16714.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request
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Yin Huai updated SPARK-16714:
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Assignee: Wenchen Fan
> Fail to create a decimal arrays with literals having different inferred
>
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Thomas Sebastian commented on SPARK-16827:
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I understand what you have mentioned is w.r.t to the
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Yin Huai updated SPARK-16610:
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Target Version/s: 2.0.1, 2.1.0
> When writing ORC files, orc.compress should not be overridden if users
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Yin Huai commented on SPARK-16610:
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It is a ORC setting. It should be accepted by the dataframe option
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Michael Gummelt updated SPARK-16881:
Description:
https://github.com/apache/spark/pull/14414#discussion_r73032190
We'd like to
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Sean Owen resolved SPARK-16857.
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Resolution: Not A Problem
The right way to do this is to evaluate based on the intra-cluster
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Sean Owen commented on SPARK-16881:
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(Worth summarizing the change or just at least copying the two
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Ryan Claussen commented on SPARK-16857:
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Basically I want to use the {code}Validator{code} as a way
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Sean Zhong closed SPARK-16841.
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Resolution: Not A Problem
> Improves the row level metrics performance when reading Parquet table
>
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Sean Zhong edited comment on SPARK-16841 at 8/3/16 5:54 PM:
This jira is
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Sean Zhong commented on SPARK-16841:
This PR is created after analyzing the performance impact of
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Sean Zhong edited comment on SPARK-16841 at 8/3/16 5:54 PM:
This jira is
Michael Gummelt created SPARK-16881:
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Summary: Migrate Mesos configs to use ConfigEntry
Key: SPARK-16881
URL: https://issues.apache.org/jira/browse/SPARK-16881
Project: Spark
Issue Type:
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Sean Owen commented on SPARK-6305:
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Mostly to silence noisy libraries manually (i.e. still taking effect
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Mikael Ståldal commented on SPARK-6305:
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Yes, if you need to set logging level, then you need a
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Sean Owen commented on SPARK-6305:
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How would you set logging levels in slf4j though? I thought it didn't
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Apache Spark reassigned SPARK-16880:
Assignee: Apache Spark
> Improve ANN training, add training data persist if needed
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Apache Spark reassigned SPARK-16880:
Assignee: (was: Apache Spark)
> Improve ANN training, add training data persist if
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https://issues.apache.org/jira/browse/SPARK-16880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15406156#comment-15406156
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Apache Spark commented on SPARK-16880:
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User 'WeichenXu123' has created a pull request for this
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Weichen Xu updated SPARK-16880:
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Component/s: MLlib
ML
> Improve ANN training, add training data persist if needed
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Weichen Xu created SPARK-16880:
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Summary: Improve ANN training, add training data persist if needed
Key: SPARK-16880
URL: https://issues.apache.org/jira/browse/SPARK-16880
Project: Spark
Issue
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Mikael Ståldal commented on SPARK-6305:
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Did you know that Log4j 2.x have it's own bridge from Log4j
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Mikael Ståldal commented on SPARK-6305:
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Which methods in Log4j 1.x are you missing counterparts in
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Mikael Ståldal commented on SPARK-6305:
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Would it be possible for Spark to depend on slf4j-api only
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Michael Allman commented on SPARK-16320:
Hi [~maver1ck]. These are excellent findings! I'm
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Apache Spark reassigned SPARK-16879:
Assignee: Apache Spark (was: Wenchen Fan)
> unify logical plans for CREATE TABLE and
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