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DB Tsai commented on SPARK-17090:
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We could make it default to 0 which automatically figure out the best
Josh Rosen created SPARK-17123:
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Summary: Performing set operations that combine string and date /
timestamp columns may result in generated projection code which doesn't compile
Key: SPARK-17123
URL:
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https://issues.apache.org/jira/browse/SPARK-17122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15425926#comment-15425926
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Yi Zhou commented on SPARK-17122:
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Thanks [~dongjoon] for your quick response. But the problem is this
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Miao Wang commented on SPARK-17110:
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The network layer of Spark must have some change for dealing with
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Wenchen Fan updated SPARK-16995:
Assignee: Liang-Chi Hsieh
> TreeNodeException when flat mapping RelationalGroupedDataset created
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Wenchen Fan resolved SPARK-16995.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Yanbo Liang commented on SPARK-17090:
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Making aggregation depth configurable is necessary when
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Dongjoon Hyun commented on SPARK-17122:
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Hi, [~jameszhouyi]
It's intentionally implemented in
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Apache Spark commented on SPARK-16714:
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User 'petermaxlee' has created a pull request for this
Yi Zhou created SPARK-17122:
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Summary: Failed to drop database when use the database in Spark 2.0
Key: SPARK-17122
URL: https://issues.apache.org/jira/browse/SPARK-17122
Project: Spark
Issue Type:
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Apache Spark reassigned SPARK-17117:
Assignee: Apache Spark
> 'SELECT 1 / NULL` throws AnalysisException, while 'SELECT 1 *
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Apache Spark reassigned SPARK-17117:
Assignee: (was: Apache Spark)
> 'SELECT 1 / NULL` throws AnalysisException, while
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Apache Spark commented on SPARK-17117:
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User 'petermaxlee' has created a pull request for this
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Anh Nguyen commented on SPARK-17070:
hi [~c...@koeninger.org] and [~srowen]
if you free time.
Please,
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Shivaram Venkataraman commented on SPARK-16581:
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Thanks [~yinxusen] - I think SPARK-16611
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Wenchen Fan commented on SPARK-17114:
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A simple way is to not remove grouping literals if it's the
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Apache Spark commented on SPARK-17121:
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User 'zjffdu' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17121:
Assignee: (was: Apache Spark)
> Support _HOST replacement for principal
>
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Apache Spark reassigned SPARK-17121:
Assignee: Apache Spark
> Support _HOST replacement for principal
>
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Xusen Yin commented on SPARK-16581:
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I'll find related JIRAs and link them if possible.
> Making JVM
Jeff Zhang created SPARK-17121:
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Summary: Support _HOST replacement for principal
Key: SPARK-17121
URL: https://issues.apache.org/jira/browse/SPARK-17121
Project: Spark
Issue Type: Improvement
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Sun Rui commented on SPARK-16581:
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sure. go ahead. But note that the discussion is continuing. There are
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Apache Spark commented on SPARK-17113:
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User 'sitalkedia' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17113:
Assignee: (was: Apache Spark)
> Job failure due to Executor OOM in offheap mode
>
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Apache Spark reassigned SPARK-17113:
Assignee: Apache Spark
> Job failure due to Executor OOM in offheap mode
>
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Xusen Yin commented on SPARK-16581:
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[~shivaram] [~sunrui] Still work on it? I can help work on this if
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Tomer Kaftan commented on SPARK-17110:
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It is with the default configuration settings, and this
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Sital Kedia updated SPARK-17113:
Summary: Job failure due to Executor OOM in offheap mode (was: Job failure
due to Executor OOM)
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Clark Fitzgerald commented on SPARK-16785:
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Starting on this now.
> dapply doesn't return array
Josh Rosen created SPARK-17120:
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Summary: Analyzer incorrectly optimizes plan to empty LocalRelation
Key: SPARK-17120
URL: https://issues.apache.org/jira/browse/SPARK-17120
Project: Spark
Issue
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Miao Wang edited comment on SPARK-17110 at 8/18/16 12:30 AM:
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It seems that
Bjorn Jonsson created SPARK-17119:
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Summary: Add configuration property to allow the history server to
delete .inprogress files
Key: SPARK-17119
URL: https://issues.apache.org/jira/browse/SPARK-17119
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https://issues.apache.org/jira/browse/SPARK-10868?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15425607#comment-15425607
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Ted Yu commented on SPARK-10868:
bq. this makes sense
What was the reasoning behind the initial
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Reynold Xin edited comment on SPARK-10868 at 8/17/16 11:32 PM:
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I'm going
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Shixiong Zhu resolved SPARK-17038.
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Resolution: Fixed
Assignee: Xin Ren
Fix Version/s: 2.1.0
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Reynold Xin edited comment on SPARK-10868 at 8/17/16 11:33 PM:
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I'm going
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Reynold Xin closed SPARK-10868.
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Resolution: Won't Fix
I'm going to close this. I don't think adding an offset will actually satisfy
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Miao Wang commented on SPARK-17110:
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It seems that it is a network I/O timeout, because there is one
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Miao Wang commented on SPARK-17118:
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Looks straightforward. I can try to create a PR for this one.
>
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Herman van Hovell edited comment on SPARK-10747 at 8/17/16 10:57 PM:
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Xin Wu commented on SPARK-10747:
[~hvanhovell] Yes. Since we have native parser now, we can do this
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Manoj Kumar commented on SPARK-17116:
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Haha, not really. I just found it odd that setParams accepts
Manoj Kumar created SPARK-17118:
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Summary: Make examples Python3 compatible
Key: SPARK-17118
URL: https://issues.apache.org/jira/browse/SPARK-17118
Project: Spark
Issue Type: Improvement
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Herman van Hovell commented on SPARK-10747:
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[~xwu0226] Would be interested to open a PR for
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Manoj Kumar updated SPARK-17116:
Description:
Currently, it is possible to override the default params set at constructor
time by
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holdenk commented on SPARK-17116:
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So it seems like doing the second one is more likely to result in
Josh Rosen created SPARK-17117:
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Summary: 'SELECT 1 / NULL` throws AnalysisException, while 'SELECT
1 * NULL` works
Key: SPARK-17117
URL: https://issues.apache.org/jira/browse/SPARK-17117
Project: Spark
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Manoj Kumar edited comment on SPARK-17116 at 8/17/16 10:17 PM:
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[~josephkb]
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Yin Huai commented on SPARK-16320:
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[~maver1ck] Seems we can close this jira?
> Spark 2.0 slower than
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Manoj Kumar commented on SPARK-17116:
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[~josephkb] [~mlnick]
This is not super important, but I do
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Manoj Kumar updated SPARK-17116:
Summary: Allow params to be a {string, value} dict at fit time (was: Allow
params to be a
Manoj Kumar created SPARK-17116:
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Summary: Allow params to be a {string, value} dict
Key: SPARK-17116
URL: https://issues.apache.org/jira/browse/SPARK-17116
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-10141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15425486#comment-15425486
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Jun Zhou commented on SPARK-10141:
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Running Spark 1.6.1.5
Seeing the same issue.
> Number of tasks on
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Reynold Xin commented on SPARK-17114:
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The problem is that RemoveLiteralFromGroupExpressions
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Apache Spark commented on SPARK-17115:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17115:
Assignee: Davies Liu (was: Apache Spark)
> Improve the performance of UnsafeProjection
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Apache Spark reassigned SPARK-17115:
Assignee: Apache Spark (was: Davies Liu)
> Improve the performance of UnsafeProjection
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Josh Rosen updated SPARK-17114:
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Comment: was deleted
(was: Even if we decide that Spark's current interpretation of this query is
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Josh Rosen commented on SPARK-17114:
Even if we decide that Spark's current interpretation of this
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Sean Owen resolved SPARK-17111.
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Resolution: Duplicate
> Spark2 History server got "Failed to load application attempt"
>
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Sean Owen resolved SPARK-17103.
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Resolution: Duplicate
Sounds like a different manifestation of the same REPL import issue
> Can not
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Tathagata Das resolved SPARK-17096.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by
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Jacek Laskowski updated SPARK-17101:
Description:
Define the format identifier that is used in {{Optimized Logical Plan}} in
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Jacek Laskowski updated SPARK-17101:
Summary: Provide consistent format identifiers for TextFileFormat and
ParquetFileFormat
Davies Liu created SPARK-17115:
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Summary: Improve the performance of UnsafeProjection for wide table
Key: SPARK-17115
URL: https://issues.apache.org/jira/browse/SPARK-17115
Project: Spark
Issue
Josh Rosen created SPARK-17114:
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Summary: Adding a 'GROUP BY 1' where first column is literal
results in wrong answer
Key: SPARK-17114
URL: https://issues.apache.org/jira/browse/SPARK-17114
Project:
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Apache Spark reassigned SPARK-16407:
Assignee: (was: Apache Spark)
> Allow users to supply custom StreamSinkProviders
>
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Apache Spark reassigned SPARK-16407:
Assignee: Apache Spark
> Allow users to supply custom StreamSinkProviders
>
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Apache Spark commented on SPARK-16407:
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User 'holdenk' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17113?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15425216#comment-15425216
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Sital Kedia commented on SPARK-17113:
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cc - [~davies]
> Job failure due to Executor OOM
>
Sital Kedia created SPARK-17113:
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Summary: Job failure due to Executor OOM
Key: SPARK-17113
URL: https://issues.apache.org/jira/browse/SPARK-17113
Project: Spark
Issue Type: Bug
Affects
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Marcelo Vanzin resolved SPARK-16736.
Resolution: Fixed
Assignee: Steve Loughran
Fix Version/s: 2.1.0
> remove
Josh Rosen created SPARK-17112:
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Summary: "select if(true, null, null)" via JDBC triggers
IllegalArgumentException in Thriftserver
Key: SPARK-17112
URL: https://issues.apache.org/jira/browse/SPARK-17112
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Yesha Vora updated SPARK-17111:
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Description:
Steps followed:
* Run sparkPi application in yarn-client mode
* SparkPi app
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Xiangrui Meng resolved SPARK-16446.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Gaussian Mixture Model wrapper in SparkR
>
Yesha Vora created SPARK-17111:
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Summary: Spark2 History server got "Failed to load application
attempt"
Key: SPARK-17111
URL: https://issues.apache.org/jira/browse/SPARK-17111
Project: Spark
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Apache Spark reassigned SPARK-16980:
Assignee: Apache Spark
> Load only catalog table partition metadata required to answer a
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Apache Spark commented on SPARK-16980:
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User 'mallman' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16980:
Assignee: (was: Apache Spark)
> Load only catalog table partition metadata required
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Marcelo Vanzin resolved SPARK-16930.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.1.0
>
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Iulian Dragos commented on SPARK-17109:
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So the problem is somewhere along the caller list :) There
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Shixiong Zhu updated SPARK-14146:
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Comment: was deleted
(was: The upstream ticket)
> Imported implicits can't be found in Spark
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Yin Huai commented on SPARK-17109:
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For Scala 2.10, {{tpe}} is {{Tuple3}}. For Scala 2.11, it is {{(T1,
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Shixiong Zhu commented on SPARK-17103:
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Right now a workaround is just importing classes in the
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Shixiong Zhu commented on SPARK-17103:
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It's similar to https://issues.scala-lang.org/browse/SI-9799
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Apache Spark reassigned SPARK-17098:
Assignee: (was: Apache Spark)
> "SELECT COUNT(NULL) OVER ()" throws
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Apache Spark commented on SPARK-17098:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-17098:
Assignee: Apache Spark
> "SELECT COUNT(NULL) OVER ()" throws
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Iulian Dragos commented on SPARK-17109:
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No, it seems strange. I suggest you print out the `tpe`
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Jakob Odersky edited comment on SPARK-17103 at 8/17/16 5:28 PM:
That's
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https://issues.apache.org/jira/browse/SPARK-17098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15424955#comment-15424955
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Dongjoon Hyun commented on SPARK-17098:
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Actually, `SELECT COUNT(1 + NULL) OVER ()` also should
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https://issues.apache.org/jira/browse/SPARK-17110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tomer Kaftan updated SPARK-17110:
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Environment: Cluster of 2 AWS r3.xlarge nodes launched via ec2 scripts,
Spark 2.0.0, hadoop:
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Tomer Kaftan updated SPARK-17110:
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Description:
In Pyspark 2.0.0, any task that accesses cached data non-locally throws a
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Tomer Kaftan updated SPARK-17110:
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Description:
In Pyspark 2.0.0, any task that accesses cached data non-locally throws a
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https://issues.apache.org/jira/browse/SPARK-17110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tomer Kaftan updated SPARK-17110:
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Description:
In Pyspark 2.0.0, any task that accesses cached data non-locally throws a
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https://issues.apache.org/jira/browse/SPARK-17110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tomer Kaftan updated SPARK-17110:
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Description:
In Pyspark 2.0.0, any task that accesses cached data non-locally throws a
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https://issues.apache.org/jira/browse/SPARK-17110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tomer Kaftan updated SPARK-17110:
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Description:
In Pyspark 2.0.0, any task that accesses cached data non-locally throws a
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https://issues.apache.org/jira/browse/SPARK-17109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15424907#comment-15424907
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Yin Huai commented on SPARK-17109:
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Yea, seems scala 2.11 is fine (I also tested this test in the branch
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Dongjoon Hyun commented on SPARK-17098:
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Hi, [~joshrosen].
According to your error message `cast(0
Tomer Kaftan created SPARK-17110:
Summary: Pyspark with locality ANY throw
java.io.StreamCorruptedException
Key: SPARK-17110
URL: https://issues.apache.org/jira/browse/SPARK-17110
Project: Spark
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