Jonathan Kelly created SPARK-10789:
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Summary: Cluster mode SparkSubmit classpath only includes Spark
classpath
Key: SPARK-10789
URL: https://issues.apache.org/jira/browse/SPARK-10789
Project: Spark
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Jonathan Kelly updated SPARK-10789:
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Component/s: Spark Submit
> Cluster mode SparkSubmit classpath only includes Spark classpath
Jonathan Kelly created SPARK-10790:
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Summary: Dynamic Allocation does not request any executors if
first stage needs less than or equal to spark.dynamicAllocation.initialExecutors
Key: SPARK-10790
URL: https://is
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Liang-Chi Hsieh commented on SPARK-8386:
[~phaumer] I can't reproduce this problem
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Jonathan Kelly updated SPARK-10789:
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Description:
When using cluster deploy mode, the classpath of the SparkSubmit process that
g
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Sean Owen commented on SPARK-10790:
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[~jonathak] A number of quite similar sounding thi
Marko Asplund created SPARK-10791:
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Summary: Optimize MLlib LDA topic distribution query performance
Key: SPARK-10791
URL: https://issues.apache.org/jira/browse/SPARK-10791
Project: Spark
Iss
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Zsolt Tóth commented on SPARK-10487:
Increasing the perm size on the driver fixes the
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Bo soon Park commented on SPARK-10773:
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I also so this error like this in mapr-spark
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Sean Owen commented on SPARK-10644:
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How many cores per executor? I'm assuming you mean
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Jonathan Kelly commented on SPARK-10790:
I did search through all dynamicAllocati
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Sean Owen commented on SPARK-10790:
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In your email I think you said you were using 1.4.
Adrian Tanase created SPARK-10792:
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Summary: Spark streaming + YARN – executor is not re-created on
machine restart
Key: SPARK-10792
URL: https://issues.apache.org/jira/browse/SPARK-10792
Project: Spa
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Sean Owen updated SPARK-10792:
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Priority: Minor (was: Major)
> Spark streaming + YARN – executor is not re-created on machine restart
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Adrian Tanase commented on SPARK-10792:
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https://issues.apache.org/jira/browse/SPAR
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Sean Owen commented on SPARK-10792:
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I wonder if this is interacting with a blacklist m
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Adrian Tanase updated SPARK-10792:
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Description:
We’re using spark streaming (1.4.0), deployed on AWS through yarn. It’s a
statefu
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Adrian Tanase commented on SPARK-10792:
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Yarn side or Spark side? If it does, shoul
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Adrian Tanase updated SPARK-10792:
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Priority: Minor (was: Major)
> Spark streaming + YARN – executor is not re-created on machine
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Adrian Tanase updated SPARK-10792:
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Priority: Major (was: Minor)
> Spark streaming + YARN – executor is not re-created on machine
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Sean Owen commented on SPARK-10792:
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Both potentially, though I mean the Spark side. In
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Adrian Tanase commented on SPARK-10792:
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Correct - I forgot to attach a screenshot
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Konstantinos Kougios commented on SPARK-5928:
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Same issue here with spark 1.5.
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Adrian Tanase updated SPARK-10792:
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Attachment: Screen Shot 2015-09-21 at 1.58.28 PM.png
> Spark streaming + YARN – executor is not
Steve Loughran created SPARK-10793:
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Summary: Make sparks use/subclassing of hive more maintainable
Key: SPARK-10793
URL: https://issues.apache.org/jira/browse/SPARK-10793
Project: Spark
Iss
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Steve Loughran commented on SPARK-10793:
Leaving the sqp/hive parser integration
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Apache Spark reassigned SPARK-9346:
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Assignee: Apache Spark
> Conversion is applied three times on partitioned data sources that r
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Apache Spark commented on SPARK-9346:
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User 'viirya' has created a pull request for th
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Apache Spark reassigned SPARK-9346:
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Assignee: (was: Apache Spark)
> Conversion is applied three times on partitioned data sou
Anilkumar Kalshetti created SPARK-10794:
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Summary: Spark-SQL- select query on table column with binary Data
Type displays error message- java.lang.ClassCastException: java.lang.String
cannot be cast to [B
Key: SPARK-10794
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simon.lou commented on SPARK-7483:
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kyro not support ListBuffer because ListBuffer don't
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Anilkumar Kalshetti updated SPARK-10794:
Description:
Spark-SQL connected to Hive Metastore-- MapR5.0 has Hive 1.0.0
Use bee
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simon.lou commented on SPARK-7483:
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kyro not support ListBuffer because ListBuffer don't
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simon.lou updated SPARK-7483:
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Comment: was deleted
(was: kyro not support ListBuffer because ListBuffer don't have any "zero
argument c
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Anilkumar Kalshetti updated SPARK-10794:
Attachment: binaryDataType.png
testbinary.txt
> Spark-SQL- select q
Harshit created SPARK-10795:
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Summary: FileNotFoundException while deploying pyspark job on
cluster
Key: SPARK-10795
URL: https://issues.apache.org/jira/browse/SPARK-10795
Project: Spark
Issue Typ
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Harshit updated SPARK-10795:
Description:
I am trying to run simple spark job using pyspark, it works as standalone , but
while I deplo
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Apache Spark commented on SPARK-10778:
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User 'y-shimizu' has created a pull request
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Apache Spark reassigned SPARK-10778:
Assignee: Apache Spark
> Implement toString for AssociationRules.Rule
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Apache Spark reassigned SPARK-10778:
Assignee: (was: Apache Spark)
> Implement toString for AssociationRules.Rule
> ---
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Apache Spark commented on SPARK-6028:
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User 'zsxwing' has created a pull request for t
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Yi Zhou commented on SPARK-10474:
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Hi [~andrewor14] [~yhuai]. It's OK for me and get no e
SuYan created SPARK-10796:
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Summary: The Stage taskSets may are all removed while stage still
have pending partitions after having lost some executors
Key: SPARK-10796
URL: https://issues.apache.org/jira/browse/SPARK-1079
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Kai Jiang commented on SPARK-10688:
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Working on it~
> Python API for AFTSurvivalRegres
Zoltán Zvara created SPARK-10797:
Summary: RDD's coalesce should not write out the temporary key
Key: SPARK-10797
URL: https://issues.apache.org/jira/browse/SPARK-10797
Project: Spark
Issue T
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Zoltán Zvara commented on SPARK-10797:
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I have prepared a solution for this, because
Dev Lakhani created SPARK-10798:
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Summary: JsonMappingException with Spark Context Parallelize
Key: SPARK-10798
URL: https://issues.apache.org/jira/browse/SPARK-10798
Project: Spark
Issue Type:
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Dev Lakhani updated SPARK-10798:
Description:
When trying to create an RDD of Rows using a Java Spark Context:
List rows= new Vecto
Xiangrui Meng created SPARK-10799:
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Summary: Flaky test: org.apache.spark.rpc.netty.InboxSuite.post:
multiple threads
Key: SPARK-10799
URL: https://issues.apache.org/jira/browse/SPARK-10799
Project: S
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Xiangrui Meng updated SPARK-10799:
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Labels: flaky-test (was: )
> Flaky test: org.apache.spark.rpc.netty.InboxSuite.post: multiple
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Xiangrui Meng reopened SPARK-10651:
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I think timeout doesn't work well. Saw more failures:
https://amplab.cs.berkeley.edu/jenkins/job
Xiangrui Meng created SPARK-10800:
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Summary: Flaky test:
org.apache.spark.deploy.StandaloneDynamicAllocationSuite
Key: SPARK-10800
URL: https://issues.apache.org/jira/browse/SPARK-10800
Project: Spark
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Xiangrui Meng updated SPARK-10651:
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Fix Version/s: (was: 1.6.0)
> Flaky test: BroadcastSuite
> --
>
>
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Apache Spark reassigned SPARK-10799:
Assignee: Apache Spark (was: Shixiong Zhu)
> Flaky test: org.apache.spark.rpc.netty.Inbox
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Apache Spark commented on SPARK-10799:
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User 'zsxwing' has created a pull request fo
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Apache Spark reassigned SPARK-10799:
Assignee: Shixiong Zhu (was: Apache Spark)
> Flaky test: org.apache.spark.rpc.netty.Inbox
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Gianmario Spacagna updated SPARK-10801:
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Summary: StatCounter uses mutability and is not thread-safe (was:
StatCounter uses m
Gianmario Spacagna created SPARK-10801:
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Summary: StatCounter uses mutability, is not thread-safe and hard
to understand its implementation
Key: SPARK-10801
URL: https://issues.apache.org/jira/browse/SPARK-10
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Jonathan Kelly commented on SPARK-10790:
Yes, this is on Spark 1.5.0. That's why
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Gianmario Spacagna updated SPARK-10801:
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Description:
The current implementation of org.apache.spark.util.StatCounter is muta
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Gianmario Spacagna updated SPARK-10801:
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Affects Version/s: 1.0.0
> StatCounter uses mutability and is not thread-safe
> -
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Xiangrui Meng updated SPARK-10778:
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Assignee: shimizu yoshihiro
> Implement toString for AssociationRules.Rule
> --
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Sean Owen commented on SPARK-10801:
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Are you suggesting it be immutable? I think that w
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Xiangrui Meng updated SPARK-10670:
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Assignee: yuhao yang
> Link to each language's API in codetabs in ML docs: spark.ml
> -
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Sean Owen updated SPARK-10790:
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Priority: Major (was: Critical)
Yeah if so then ignore most of this since I thought you were on 1.4.1.
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Jonathan Kelly updated SPARK-10789:
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Summary: Cluster mode SparkSubmit classpath only includes Spark assembly
(was: Cluster mode
Tomasz Bartczak created SPARK-10802:
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Summary: Let ALS recommend for subset of data
Key: SPARK-10802
URL: https://issues.apache.org/jira/browse/SPARK-10802
Project: Spark
Issue Type: Improv
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Zhang, Liye updated SPARK-9103:
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Attachment: Tracking Spark Memory Usage - Phase 1.pdf
> Tracking spark's memory usage
> --
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Konstantinos Kougios commented on SPARK-5928:
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Is there a work around for this
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Gayathri Murali commented on SPARK-10688:
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I started working on it as well. Since
Cheng Lian created SPARK-10803:
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Summary: Allow users to write and query Parquet user-defined
key-value metadata directly
Key: SPARK-10803
URL: https://issues.apache.org/jira/browse/SPARK-10803
Project:
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Sean Owen commented on SPARK-10802:
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You can already pass an RDD of user,item pairs. I
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Yin Huai commented on SPARK-10741:
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[~ianlcsd] Can you try the following queries to see
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Yin Huai resolved SPARK-10765.
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Resolution: Fixed
Fix Version/s: 1.6.0
> use new aggregate interface for hive UDAF
> ---
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Yin Huai commented on SPARK-10765:
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This issue has been resolved by https://github.com/a
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Joseph K. Bradley commented on SPARK-10487:
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Ohh, that's very helpful. I suspe
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Zoltán Zvara updated SPARK-10797:
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Description:
It seems that {{RDD.coalesce}} will unnecessarily write out (to shuffle files)
temp
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Zoltán Zvara updated SPARK-10797:
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Description:
It seems that {{RDD.coalesce}} will unnecessarily write out (to shuffle files)
temp
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Zoltán Zvara updated SPARK-10797:
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Description:
It seems that {{RDD.coalesce}} will unnecessarily write out (to shuffle files)
temp
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Saisai Shao commented on SPARK-10790:
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Thanks [~srowen], let me check it.
> Dynamic
Antonio Piccolboni created SPARK-10804:
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Summary: "LOCAL" in LOAD DATA LOCAL INPATH means "remote"
Key: SPARK-10804
URL: https://issues.apache.org/jira/browse/SPARK-10804
Project: Spark
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Marcelo Vanzin commented on SPARK-10804:
This is really a Hive issue, which Spark
Jeff Li created SPARK-10805:
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Summary: JSON Data Frame does not return correct string lengths
Key: SPARK-10805
URL: https://issues.apache.org/jira/browse/SPARK-10805
Project: Spark
Issue Type: Impr
Boris Alexeev created SPARK-10806:
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Summary: Following val redefinition, sometimes the old value is
still visible
Key: SPARK-10806
URL: https://issues.apache.org/jira/browse/SPARK-10806
Project: Spark
Oscar D. Lara Yejas created SPARK-10807:
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Summary: Add as.data.frame() as a synonym for collect()
Key: SPARK-10807
URL: https://issues.apache.org/jira/browse/SPARK-10807
Project: Spark
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Oscar D. Lara Yejas commented on SPARK-10807:
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I'm working on this one.
Than
Joseph K. Bradley created SPARK-10808:
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Summary: LDA user guide: discuss running time of LDA
Key: SPARK-10808
URL: https://issues.apache.org/jira/browse/SPARK-10808
Project: Spark
Issue T
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Joseph K. Bradley updated SPARK-10808:
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Description:
Based on feedback like [SPARK-10791], we should discuss the computational
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Ian commented on SPARK-10741:
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The org.apache.spark.sql.AnalysisException is fixed, but the w
Joseph K. Bradley created SPARK-10809:
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Summary: Single-document topicDistributions method for
LocalLDAModel
Key: SPARK-10809
URL: https://issues.apache.org/jira/browse/SPARK-10809
Project: Spark
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Joseph K. Bradley commented on SPARK-10791:
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This sounds like a question for th
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Joseph K. Bradley closed SPARK-10791.
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Resolution: Done
> Optimize MLlib LDA topic distribution query performance
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Saisai Shao commented on SPARK-10790:
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Hi [~jonathak], let me trying to understand yo
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Yin Huai commented on SPARK-10741:
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Any error?
> Hive Query Having/OrderBy against Parq
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Ian commented on SPARK-10741:
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Two of my tests failed.
The query returns nothing.
{code}
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Joseph K. Bradley closed SPARK-10487.
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Resolution: Not A Problem
> MLlib model fitting causes DataFrame write to break with OutO
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Joseph K. Bradley commented on SPARK-10487:
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As far as I can tell, there isn't
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Andrew Or commented on SPARK-10773:
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I believe this is fixed in 1.5.0:
https://issues.a
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Neal Yin commented on SPARK-6028:
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[~rxin] I am wondering why spark wants to remove AKKA d
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Ian edited comment on SPARK-10741 at 9/24/15 6:46 PM:
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Two of my tes
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