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Erik Selin updated SPARK-12089:
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Description:
When running a large spark sql query including multiple joins I see tasks
failing with
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Erik Selin edited comment on SPARK-12089 at 12/2/15 4:15 PM:
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I can make that
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Erik Selin edited comment on SPARK-12089 at 12/2/15 4:07 PM:
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I can make that
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Apache Spark reassigned SPARK-12096:
Assignee: Apache Spark
> remove the old constraint in word2vec
>
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Erik Selin commented on SPARK-12089:
I can make that change if it is that easy. I'm just wondering if
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Wenchen Fan commented on SPARK-12089:
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yea, I think we should be more conservative to grow the buffer
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Christoph Pirkl commented on SPARK-10969:
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While this commit is useful it does not fix this
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Brian London commented on SPARK-10969:
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I'm not sure why it needs to be an object as opposed to two
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Brian London edited comment on SPARK-10969 at 12/2/15 3:31 PM:
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I'm not
Xusen Yin created SPARK-12098:
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Summary: Cross validator with multi-arm bandit search
Key: SPARK-12098
URL: https://issues.apache.org/jira/browse/SPARK-12098
Project: Spark
Issue Type: New
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Apache Spark reassigned SPARK-12096:
Assignee: (was: Apache Spark)
> remove the old constraint in word2vec
>
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Apache Spark commented on SPARK-12096:
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User 'hhbyyh' has created a pull request for this issue:
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Erik Selin updated SPARK-12089:
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Description:
When running a large spark sql query including multiple joins I see tasks
failing with
Christian Kurz created SPARK-12097:
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Summary: How to do a cached, batched JDBC-lookup in Spark
Streaming?
Key: SPARK-12097
URL: https://issues.apache.org/jira/browse/SPARK-12097
Project: Spark
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holdenk commented on SPARK-12040:
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Working on this :)
> Add toJson/fromJson to Vector/Vectors for
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Yin Huai resolved SPARK-12094.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 10099
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Davies Liu updated SPARK-12089:
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Priority: Critical (was: Major)
> java.lang.NegativeArraySizeException when growing BufferHolder
>
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Sean Owen commented on SPARK-12097:
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Normally I'd say we don't use JIRA for discussion (i.e. we don't
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Davies Liu commented on SPARK-12089:
Is it possible that you have a record larger than 1G? I don't
Imran Rashid created SPARK-12099:
Summary: Standalone and Mesos Should use OnOutOfMemoryError
handlers
Key: SPARK-12099
URL: https://issues.apache.org/jira/browse/SPARK-12099
Project: Spark
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Erik Selin commented on SPARK-12089:
There shouldn't be a single record larger than 1G no. But I'm
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Davies Liu commented on SPARK-12089:
[~tyro89] Are you build a large Array using group by? How is the
Andrew Davidson created SPARK-12100:
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Summary: bug in spark/python/pyspark/rdd.py portable_hash()
Key: SPARK-12100
URL: https://issues.apache.org/jira/browse/SPARK-12100
Project: Spark
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Apache Spark reassigned SPARK-12040:
Assignee: Apache Spark
> Add toJson/fromJson to Vector/Vectors for PySpark
>
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Apache Spark commented on SPARK-12040:
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User 'holdenk' has created a pull request for this issue:
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Apache Spark reassigned SPARK-12040:
Assignee: (was: Apache Spark)
> Add toJson/fromJson to Vector/Vectors for PySpark
>
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Davies Liu commented on SPARK-12089:
Could you turn on debug log, and paste the java source code of
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Apache Spark reassigned SPARK-12098:
Assignee: (was: Apache Spark)
> Cross validator with multi-arm bandit search
>
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Apache Spark commented on SPARK-12098:
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User 'yinxusen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-12098:
Assignee: Apache Spark
> Cross validator with multi-arm bandit search
>
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Imran Rashid commented on SPARK-11801:
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to summarize, it seems we agree that:
1) we want to keep
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Erik Selin commented on SPARK-12089:
It's a bunch of table joins followed by a group by on multiple
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Thomas Graves commented on SPARK-1239:
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I have another user hitting this also. The above mentions
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Christoph Pirkl commented on SPARK-10969:
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This issue is about adding additional (optional)
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Bryan Cutler updated SPARK-11219:
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Description:
There are several different formats for describing params in PySpark.MLlib,
making
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Sean Owen commented on SPARK-12101:
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To cut down the noise, if this is logically the same issue as one
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Thomas Graves updated SPARK-10873:
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Assignee: Zhuo Liu
> can't sort columns on history page
> --
>
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Apache Spark commented on SPARK-11155:
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User 'keypointt' has created a pull request for this issue:
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Dan Dutrow updated SPARK-12103:
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Description:
(Note: yes, there is a Direct API that may be better, but it's not the easiest
thing
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Thomas Graves commented on SPARK-11701:
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Also seems related to
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Xin Ren updated SPARK-11155:
Attachment: Screen Shot 2015-12-02.png
sorry for being so slow... my first code change and it took me
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Apache Spark reassigned SPARK-12101:
Assignee: Apache Spark (was: Shixiong Zhu)
> Fix thread pools that cannot cache tasks in
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Dan Dutrow updated SPARK-12103:
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Fix Version/s: (was: 1.0.1)
1.4.2
> KafkaUtils createStream with multiple
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Dan Dutrow updated SPARK-12103:
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Affects Version/s: 1.1.0
1.2.0
1.3.0
Shixiong Zhu created SPARK-12101:
Summary: Fix thread pools that cannot cache tasks in Worker and
AppClient
Key: SPARK-12101
URL: https://issues.apache.org/jira/browse/SPARK-12101
Project: Spark
Yin Huai created SPARK-12102:
Summary: In check analysis, data type check always
Key: SPARK-12102
URL: https://issues.apache.org/jira/browse/SPARK-12102
Project: Spark
Issue Type: Bug
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Yin Huai updated SPARK-12102:
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Summary: Cast a non-nullable struct field to a nullable field during
analysis (was: In check analysis,
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Michael Armbrust updated SPARK-12000:
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Target Version/s: 1.7.0 (was: 1.6.0)
> `sbt publishLocal` hits a Scala compiler bug
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Thomas Graves commented on SPARK-11701:
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this looks like a dup of SPARK-9038
> YARN - dynamic
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Sean Owen updated SPARK-12101:
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Priority: Minor (was: Major)
> Fix thread pools that cannot cache tasks in Worker and AppClient
>
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Apache Spark reassigned SPARK-12101:
Assignee: Shixiong Zhu (was: Apache Spark)
> Fix thread pools that cannot cache tasks in
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Apache Spark commented on SPARK-12101:
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User 'zsxwing' has created a pull request for this issue:
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Dan Dutrow updated SPARK-12103:
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Description:
(Note: yes, there is a Direct API that may be better, but it's not the easiest
thing
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Bryan Cutler commented on SPARK-11219:
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I added an assessment of the current state of param
Dan Dutrow created SPARK-12103:
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Summary: KafkaUtils createStream with multiple topics -- does not
work as expected
Key: SPARK-12103
URL: https://issues.apache.org/jira/browse/SPARK-12103
Project: Spark
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Dan Dutrow updated SPARK-12103:
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Description:
(Note: yes, there is a Direct API that may be better, but it's not the easiest
thing
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Dan Dutrow updated SPARK-12103:
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Target Version/s: 1.4.2, 1.6.1 (was: 1.0.1)
> KafkaUtils createStream with multiple topics -- does
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Apache Spark commented on SPARK-12088:
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User 'huaxingao' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-12093?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12093:
Assignee: Apache Spark
> Fix the error of comment in DDLParser
>
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Apache Spark commented on SPARK-12093:
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User 'watermen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-12093:
Assignee: (was: Apache Spark)
> Fix the error of comment in DDLParser
>
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Bill Chambers commented on SPARK-11964:
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quick question, am I to assume that all pieces mentioned
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R. H. commented on SPARK-12048:
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I have added the missing line, built a distribution, and tested it
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Apache Spark commented on SPARK-12067:
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User 'yanboliang' has created a pull request for this issue:
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Yanbo Liang updated SPARK-12067:
Summary: Fix usage of isnan, isnull, isnotnull of Column (was: Fix usage
of isnan, isnull,
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Yanbo Liang updated SPARK-12067:
Description:
* -SPARK-11947 has deprecated DataFrame.isNaN, DataFrame.isNull and replaced by
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Apache Spark reassigned SPARK-12088:
Assignee: Apache Spark
> check connection.isClose before connection.getAutoCommit in
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Apache Spark reassigned SPARK-12088:
Assignee: (was: Apache Spark)
> check connection.isClose before
Yadong Qi created SPARK-12093:
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Summary: Fix the error of comment in DDLParser
Key: SPARK-12093
URL: https://issues.apache.org/jira/browse/SPARK-12093
Project: Spark
Issue Type: Documentation
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Bill Chambers edited comment on SPARK-11964 at 12/2/15 8:52 AM:
quick
Cheng Lian created SPARK-12094:
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Summary: Better format for query plan tree string
Key: SPARK-12094
URL: https://issues.apache.org/jira/browse/SPARK-12094
Project: Spark
Issue Type: Improvement
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Sean Owen commented on SPARK-12048:
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You need to read
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Yanbo Liang updated SPARK-12067:
Description:
-* SPARK-11947 has deprecated DataFrame.isNaN, DataFrame.isNull and replaced by
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Yanbo Liang updated SPARK-12067:
Description:
* -SPARK-11947 has deprecated DataFrame.isNaN, DataFrame.isNull and replaced by
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Sean Owen updated SPARK-12093:
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Priority: Trivial (was: Major)
Component/s: Documentation
[~waterman] This probably isn't
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Cheng Lian updated SPARK-12094:
---
Description:
When examine plans of complex queries with multiple joins, a pain point of mine
is
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Sean Owen updated SPARK-12080:
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Affects Version/s: (was: 1.6.1)
1.5.2
> Kryo - Support multiple user
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Marcelo Vanzin commented on SPARK-10911:
Ok, that makes sense. But since the YARN bug is the
Hossein Falaki created SPARK-12104:
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Summary: collect() does not handle multiple columns with same name
Key: SPARK-12104
URL: https://issues.apache.org/jira/browse/SPARK-12104
Project: Spark
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Apache Spark commented on SPARK-12106:
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User 'brkyvz' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-12106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12106:
Assignee: (was: Apache Spark)
> Flaky Test: BatchedWriteAheadLog - name log with
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Sean Owen updated SPARK-12103:
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Affects Version/s: (was: 1.4.0)
(was: 1.3.0)
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Apache Spark reassigned SPARK-12106:
Assignee: Apache Spark
> Flaky Test: BatchedWriteAheadLog - name log with aggregated
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Michael Armbrust updated SPARK-12107:
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Target Version/s: 1.6.0
> Update spark-ec2 versions
> -
>
>
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Min Qiu commented on SPARK-12085:
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looks like the BooleanSimplification rule in Spark 1.5 provides a
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Xiangrui Meng commented on SPARK-8517:
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* I'm not sure whether the mathematical formulation is
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Marcelo Vanzin commented on SPARK-12082:
If the build machines run on VMs, run multiple jobs, or
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Josh Rosen commented on SPARK-12082:
For now, I'm going to try bumping the timeout to something
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https://issues.apache.org/jira/browse/SPARK-12089?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15036807#comment-15036807
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Davies Liu commented on SPARK-12089:
This query will not generate huge record, each record should be
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Alberto Bonsanto closed SPARK-11992.
> Severl numbers in my spark shell (pyspark)
> --
>
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Dan Dutrow updated SPARK-12103:
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Description:
(Note: yes, there is a Direct API that may be better, but it's not the easiest
thing
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Xiangrui Meng commented on SPARK-8517:
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* Agree that the focus of spark.ml should not only be
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Dan Dutrow commented on SPARK-12103:
One possible way around this problem would be to stick the topic
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https://issues.apache.org/jira/browse/SPARK-12104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15036791#comment-15036791
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Shivaram Venkataraman commented on SPARK-12104:
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Any ideas what caused this ?
> collect()
Andrew Davidson created SPARK-12110:
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Summary: spark-1.5.1-bin-hadoop2.6; pyspark.ml.feature
Exception: ("You must build Spark with Hive
Key: SPARK-12110
URL:
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https://issues.apache.org/jira/browse/SPARK-11255?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15036809#comment-15036809
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shane knapp commented on SPARK-11255:
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ok, [~shivaram] and i got together and whipped up a test build
Dean Wampler created SPARK-12105:
Summary: Add a DataFrame.show() with argument for output
PrintStream
Key: SPARK-12105
URL: https://issues.apache.org/jira/browse/SPARK-12105
Project: Spark
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Michael Armbrust commented on SPARK-12066:
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Can you reproduce this on 1.6-rc1?
> spark sql
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Josh Rosen updated SPARK-12106:
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Labels: flaky-test (was: )
> Flaky Test: BatchedWriteAheadLog - name log with aggregated entries
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Xiangrui Meng commented on SPARK-8517:
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[~timhunter] I agree with most of your points. I'd recommend
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