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Apache Spark commented on SPARK-6397:
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User 'watermen' has created a pull request for
-1.3.0-bin-2.4.0.tar.gz'
'/home/mesos/work_dir/slaves/20150323-100710-1214949568-5050-3453-S3/frameworks/20150323-133400-1214949568-5050-15440-0007/executors/20150323-100710-1214949568-5050-3453-S3/runs/915b40d8-f7c4-428a-9df8-ac9804c6cd21/spark-1.3.0-bin-2.4.0.tar.gz'
sh: hadoop: command not found
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Littlestar commented on SPARK-6213:
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may be change protected[sql] def
spark.executorEnv.HADOOP_HOME
spark.executorEnv.JAVA_HOME
E0323 14:24:36.400635 11355 fetcher.cpp:109] HDFS copyToLocal failed: hadoop
fs -copyToLocal
'hdfs://192.168.1.9:54310/home/test/spark-1.3.0-bin-2.4.0.tar.gz'
'/home/mesos/work_dir/slaves/20150323-100710-1214949568-5050-3453-S3/frameworks
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Andrew Drozdov commented on SPARK-6474:
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Great, and thanks. Taking a look now.
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Nicholas Chammas updated SPARK-6474:
Issue Type: Improvement (was: Bug)
Replace image.run with connection.run_instances in
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Brennon York updated SPARK-6477:
Issue Type: Improvement (was: Bug)
Run MIMA tests before the Spark test suite
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Nicholas Chammas commented on SPARK-6474:
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This change also fits the pattern of
Rares Vernica created SPARK-6476:
Summary: Spark fileserver not started on same IP as using
spark.driver.host
Key: SPARK-6476
URL: https://issues.apache.org/jira/browse/SPARK-6476
Project: Spark
Brennon York created SPARK-6477:
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Summary: Run MIMA tests before the Spark test suite
Key: SPARK-6477
URL: https://issues.apache.org/jira/browse/SPARK-6477
Project: Spark
Issue Type: Bug
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Patrick Wendell reopened SPARK-6122:
I reverted this because it looks like it was responsible for some testing
failures due to the
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Xiangrui Meng resolved SPARK-6308.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5118
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Andrew Drozdov updated SPARK-6474:
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Summary: Replace image.run with connection.run_instances in spark_ec2.py
(was: Replace
Andrew Drozdov created SPARK-6474:
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Summary: Replace image.run with connection.run_instances
Key: SPARK-6474
URL: https://issues.apache.org/jira/browse/SPARK-6474
Project: Spark
Issue Type:
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Nicholas Chammas updated SPARK-6474:
Priority: Minor (was: Major)
Replace image.run with connection.run_instances in
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Nicholas Chammas edited comment on SPARK-6474 at 3/23/15 8:29 PM:
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Apache Spark commented on SPARK-6473:
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User 'vanzin' has created a pull request for
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Nicholas Chammas commented on SPARK-6474:
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LGTM.
Replace image.run with
Xiangrui Meng created SPARK-6475:
Summary: DataFrame should support array types when creating DFs
from JavaBeans.
Key: SPARK-6475
URL: https://issues.apache.org/jira/browse/SPARK-6475
Project: Spark
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Xiangrui Meng reassigned SPARK-6475:
Assignee: Xiangrui Meng
DataFrame should support array types when creating DFs from
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Apache Spark commented on SPARK-6475:
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User 'mengxr' has created a pull request for
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Apache Spark commented on SPARK-6369:
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User 'liancheng' has created a pull request for
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Apache Spark commented on SPARK-4848:
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User 'nkronenfeld' has created a pull request
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Xiangrui Meng commented on SPARK-5954:
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Note: We added topByKey in
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Sandy Ryza reassigned SPARK-6470:
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Assignee: Sandy Ryza
Allow Spark apps to put YARN node labels in their requests
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Apache Spark commented on SPARK-6471:
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User 'saucam' has created a pull request for
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Zhan Zhang commented on SPARK-3720:
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[~iward] Since this jiar is duplicated to
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Sean Owen updated SPARK-2331:
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Priority: Minor (was: Major)
Target Version/s: 2+
SparkContext.emptyRDD should return
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Sean Owen reopened SPARK-2331:
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Reopening to catch this for version 2.x
SparkContext.emptyRDD should return RDD[T] not EmptyRDD[T]
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sam commented on SPARK-4830:
I've been seeing a similar problem but just for a regular Spark
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Yash Datta updated SPARK-6471:
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Summary: Metastore schema should only be a subset of parquet schema to
support dropping of columns
Yash Datta created SPARK-6471:
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Summary: Metastoreschema should only be a subset of parquetSchema
to support dropping of columns using replace columns
Key: SPARK-6471
URL:
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Apache Spark commented on SPARK-4086:
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User 'brennonyork' has created a pull request
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Sean Owen commented on SPARK-6469:
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[~preaudc] would you like to open a small PR to add a
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Yash Datta commented on SPARK-6471:
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https://github.com/apache/spark/pull/5141
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Yash Datta updated SPARK-6471:
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Comment: was deleted
(was: https://github.com/apache/spark/pull/5141)
Metastore schema should only be
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Manoj Kumar commented on SPARK-6192:
[~mengxr] Sorry for spamming, but do you have
Sean Owen created SPARK-6480:
Summary: histogram() bucket function is wrong in some simple edge
cases
Key: SPARK-6480
URL: https://issues.apache.org/jira/browse/SPARK-6480
Project: Spark
Issue
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Michael Armbrust updated SPARK-5508:
Priority: Critical (was: Major)
Arrays and Maps stored with Hive Parquet Serde may not be
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Michael Armbrust updated SPARK-5508:
Assignee: Cheng Lian
Arrays and Maps stored with Hive Parquet Serde may not be able to
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Michael Armbrust updated SPARK-6437:
Assignee: Michael Armbrust
SQL ExternalSort should use CompletionIterator to clean up temp
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Michael Armbrust resolved SPARK-6124.
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Resolution: Fixed
Fix Version/s: 1.4.0
1.3.1
Issue resolved by
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Zhan Zhang updated SPARK-6112:
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Attachment: SparkOffheapsupportbyHDFS.pdf
Design doc for hdfs offheap support
Provide OffHeap support
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Zhan Zhang updated SPARK-6479:
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Attachment: SparkOffheapsupportbyHDFS.pdf
The design doc also includes stuff from SPARK-6112
Create
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Michael Armbrust reassigned SPARK-6054:
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Assignee: Michael Armbrust
SQL UDF returning object of case class; regression from
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Apache Spark commented on SPARK-6480:
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User 'srowen' has created a pull request for
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Michael Armbrust updated SPARK-4925:
Assignee: Patrick Wendell
Publish Spark SQL hive-thriftserver maven artifact
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Jeffrey Turpin commented on SPARK-6373:
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Hey Aaron,
Thanks for the feedback! I
Michael Armbrust created SPARK-6481:
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Summary: Set In Progress when a PR is opened for an issue
Key: SPARK-6481
URL: https://issues.apache.org/jira/browse/SPARK-6481
Project: Spark
Issue
zzc created SPARK-6483:
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Summary: Spark SQL udf(ScalaUdf) is very slow
Key: SPARK-6483
URL: https://issues.apache.org/jira/browse/SPARK-6483
Project: Spark
Issue Type: Improvement
Components:
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Reynold Xin commented on SPARK-6112:
[~zhanzhang] I created
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Michael Armbrust updated SPARK-2973:
Priority: Blocker (was: Critical)
Use LocalRelation for all ExecutedCommands, avoid job
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Michael Armbrust updated SPARK-2973:
Summary: Use LocalRelation for all ExecutedCommands, avoid job for
take/collect() (was:
David Ross created SPARK-6482:
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Summary: Remove synchronization of Hive Native commands
Key: SPARK-6482
URL: https://issues.apache.org/jira/browse/SPARK-6482
Project: Spark
Issue Type:
Maxim Ivanov created SPARK-6478:
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Summary: new RDD.pipeWithPartition method
Key: SPARK-6478
URL: https://issues.apache.org/jira/browse/SPARK-6478
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-6478:
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User 'redbaron' has created a pull request for
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Allan Douglas R. de Oliveira edited comment on SPARK-5928 at 3/23/15 10:54 PM:
Reynold Xin created SPARK-6479:
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Summary: Create off-heap block storage API
Key: SPARK-6479
URL: https://issues.apache.org/jira/browse/SPARK-6479
Project: Spark
Issue Type: Improvement
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Michael Armbrust updated SPARK-6450:
Summary: Native Parquet reader does not assign table name as qualifier
(was: Self joining
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Zhan Zhang commented on SPARK-6479:
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The current API may not be good enough as it has
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Nicholas Chammas commented on SPARK-6481:
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I'm guessing this will be done via
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Calvin Jia commented on SPARK-6122:
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[~pwendell] Are you referring to the issues here:
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Allan Douglas R. de Oliveira commented on SPARK-5928:
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I will answer
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Reynold Xin updated SPARK-6479:
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Summary: Create off-heap block storage API (internal) (was: Create
off-heap block storage API)
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Michael Armbrust updated SPARK-6369:
Assignee: Cheng Lian
InsertIntoHiveTable should use logic from SparkHadoopWriter
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Apache Spark commented on SPARK-1684:
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User 'texasmichelle' has created a pull request
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Xiangrui Meng commented on SPARK-6100:
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We don't have APIs for distributed matrices
Xiangrui Meng created SPARK-6488:
Summary: Support addition/multiplication in PySpark's BlockMatrix
Key: SPARK-6488
URL: https://issues.apache.org/jira/browse/SPARK-6488
Project: Spark
Issue
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Ryan Williams commented on SPARK-6449:
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It doesn't look like it; [here is a
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Ryan Williams commented on SPARK-6449:
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Seems like this was fixed as of
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Michael Armbrust updated SPARK-6475:
Component/s: (was: DataFrame)
DataFrame should support array types when creating DFs
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Michael Armbrust updated SPARK-5941:
Component/s: (was: DataFrame)
SQL
`def table` is not using the
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Josh Rosen commented on SPARK-6484:
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To provide some extra context for this JIRA, I
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jay vyas edited comment on SPARK-5368 at 3/24/15 1:59 AM:
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Okay,
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Matthew Farrellee commented on SPARK-5368:
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[~jayunit100] the relevant config is
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Apache Spark commented on SPARK-6361:
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User 'mengxr' has created a pull request for
Xiangrui Meng created SPARK-6485:
Summary: Add CoordinateMatrix/RowMatrix/IndexedRowMatrix in PySpark
Key: SPARK-6485
URL: https://issues.apache.org/jira/browse/SPARK-6485
Project: Spark
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Xiangrui Meng updated SPARK-6486:
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Description: We should add BlockMatrix to PySpark. Internally, we can use
DataFrames and
Zhang JiaJin created SPARK-6487:
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Summary: Add sequential pattern mining algorithm to Spark MLlib
Key: SPARK-6487
URL: https://issues.apache.org/jira/browse/SPARK-6487
Project: Spark
Issue
Konstantin Shaposhnikov created SPARK-6489:
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Summary: Optimize lateral view with explode to not read
unnecessary columns
Key: SPARK-6489
URL: https://issues.apache.org/jira/browse/SPARK-6489
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Xiangrui Meng commented on SPARK-6487:
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[~Zhang JiaJin] I'm not very familiar with
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Konstantin Shaposhnikov updated SPARK-6489:
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Description:
Currently a query with lateral view explode(...) results in an
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Pei-Lun Lee commented on SPARK-6352:
The above PR adds a new hadoop config value
Michael Armbrust created SPARK-6484:
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Summary: Ganglia metrics xml reporter doesn't escape correctly
Key: SPARK-6484
URL: https://issues.apache.org/jira/browse/SPARK-6484
Project: Spark
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jay vyas commented on SPARK-5368:
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looks like this is subsumed maybe by the work going on
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zzc commented on SPARK-6430:
what's wrong with this?
Cannot resolve column correctlly when
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iward commented on SPARK-3720:
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[~zhanzhang], I see. since the patch is delayed, so we can't
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https://issues.apache.org/jira/browse/SPARK-3735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14377200#comment-14377200
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Xiangrui Meng commented on SPARK-3735:
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The proposal is actually something different.
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https://issues.apache.org/jira/browse/SPARK-3278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14377205#comment-14377205
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Xiangrui Meng commented on SPARK-3278:
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Did you try truncating the digits of x to
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https://issues.apache.org/jira/browse/SPARK-6464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14377206#comment-14377206
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Apache Spark commented on SPARK-6464:
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User 'SaintBacchus' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-6487?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhang JiaJin updated SPARK-6487:
Description:
[~mengxr] [~zhangyouhua]
Sequential pattern mining is an important branch in the
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https://issues.apache.org/jira/browse/SPARK-6449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ryan Williams resolved SPARK-6449.
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Resolution: Implemented
Fix Version/s: 1.3.0
Driver OOM results in reported application
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https://issues.apache.org/jira/browse/SPARK-5692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-5692:
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Assignee: Manoj Kumar (was: ANUPAM MEDIRATTA)
Model import/export for Word2Vec
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https://issues.apache.org/jira/browse/SPARK-5692?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14377266#comment-14377266
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Xiangrui Meng commented on SPARK-5692:
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[~anupamme] You should get familiar with
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https://issues.apache.org/jira/browse/SPARK-6189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-6189:
Component/s: (was: DataFrame)
Pandas to DataFrame conversion should check field names
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https://issues.apache.org/jira/browse/SPARK-5919?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-5919:
Component/s: (was: DataFrame)
SQL
Enable broadcast joins for Parquet
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https://issues.apache.org/jira/browse/SPARK-6229?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14377102#comment-14377102
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Marcelo Vanzin commented on SPARK-6229:
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Hi, me again. So I finally got back to
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https://issues.apache.org/jira/browse/SPARK-1684?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michelle Casbon updated SPARK-1684:
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Attachment: spark_pulls_before_after.txt
Test data (spark_pulls_before_after.txt): titles
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https://issues.apache.org/jira/browse/SPARK-6192?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14377197#comment-14377197
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Xiangrui Meng commented on SPARK-6192:
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Thanks for the update! The current version
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https://issues.apache.org/jira/browse/SPARK-6334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-6334.
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Resolution: Duplicate
SPARK-5955 was merged. So if you can use the latest master, you can set
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