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Reynold Xin updated SPARK-6299:
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Description:
Anyone can reproduce this issue by the code below
(runs well in local mode, got exception
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Reynold Xin resolved SPARK-6299.
Resolution: Fixed
Fix Version/s: 1.3.1
1.4.0
Assignee: Kevin (Sang
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Apache Spark commented on SPARK-6350:
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User 'jongyoul' has created a pull request for
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Jongyoul Lee updated SPARK-6350:
Summary: Make mesosExecutorCores configurable in mesos "fine-grained" mode
(was: make mesosExecutor
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Apache Spark commented on SPARK-6247:
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User 'marmbrus' has created a pull request for
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Yin Huai commented on SPARK-6250:
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[~nitay] Just a quick update. I tried
{code}
HiveMetast
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Reynold Xin updated SPARK-6229:
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Summary: Support SASL encryption in network/common module (was: Support
encryption in network/common
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Apache Spark commented on SPARK-6379:
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User 'maropu' has created a pull request for th
Takeshi Yamamuro created SPARK-6379:
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Summary: Support an implicit conversion from udf"name" to an UDF
defined in SQLContext
Key: SPARK-6379
URL: https://issues.apache.org/jira/browse/SPARK-6379
Pro
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Apache Spark commented on SPARK-6304:
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User 'jerryshao' has created a pull request for
zhangzhenyue created SPARK-6378:
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Summary: srcAttr in graph.triplets don't update when the size of
graph is huge
Key: SPARK-6378
URL: https://issues.apache.org/jira/browse/SPARK-6378
Project: Spark
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Reynold Xin commented on SPARK-6229:
I haven't read through the various discussions he
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Cheng Lian resolved SPARK-5712.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 4500
[https://github.com/
Yin Huai created SPARK-6377:
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Summary: Set the number of shuffle partitions automatically based
on the size of input tables and the reduce-side operation.
Key: SPARK-6377
URL: https://issues.apache.org/jira/browse/SPARK
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Apache Spark commented on SPARK-5068:
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User 'lazyman500' has created a pull request fo
Michael Armbrust created SPARK-6376:
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Summary: Relation are thrown away too early in dataframes
Key: SPARK-6376
URL: https://issues.apache.org/jira/browse/SPARK-6376
Project: Spark
Issue Ty
Michael Armbrust created SPARK-6375:
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Summary: Bad formatting in analysis errors
Key: SPARK-6375
URL: https://issues.apache.org/jira/browse/SPARK-6375
Project: Spark
Issue Type: Bug
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Manoj Kumar edited comment on SPARK-6192 at 3/17/15 3:16 AM:
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Michael Armbrust updated SPARK-6330:
Target Version/s: 1.3.1
> newParquetRelation gets incorrect FileSystem
> ---
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Apache Spark commented on SPARK-6374:
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User 'hhbyyh' has created a pull request for th
yuhao yang created SPARK-6374:
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Summary: Add getter for GeneralizedLinearAlgorithm
Key: SPARK-6374
URL: https://issues.apache.org/jira/browse/SPARK-6374
Project: Spark
Issue Type: Improvement
Jeffrey Turpin created SPARK-6373:
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Summary: Add SSL/TLS for the Netty based BlockTransferService
Key: SPARK-6373
URL: https://issues.apache.org/jira/browse/SPARK-6373
Project: Spark
Issue T
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Apache Spark commented on SPARK-6372:
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User 'vanzin' has created a pull request for th
Marcelo Vanzin created SPARK-6372:
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Summary: "spark-submit --conf" is not being propagated to child
processes
Key: SPARK-6372
URL: https://issues.apache.org/jira/browse/SPARK-6372
Project: Spark
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Doug Balog commented on SPARK-6207:
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Need to catch java.lang.UnsupportedOperationExcepti
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Nitay Joffe commented on SPARK-6250:
Thanks [~marmbrus] and [~yhuai].
> Types are now
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Michael Armbrust commented on SPARK-6250:
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Okay, thanks for explaining the problem
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Michael Armbrust reopened SPARK-6250:
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Assignee: Yin Huai (was: Michael Armbrust)
> Types are now reserved words in DDL parser
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Nitay Joffe commented on SPARK-6250:
The error is always the same: https://gist.github
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Nitay Joffe commented on SPARK-6250:
Backticks doesn't work for me on existing data. F
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Apache Spark commented on SPARK-6371:
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User 'vanzin' has created a pull request for th
Marcelo Vanzin created SPARK-6371:
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Summary: Update version to 1.4.0-SNAPSHOT
Key: SPARK-6371
URL: https://issues.apache.org/jira/browse/SPARK-6371
Project: Spark
Issue Type: Task
C
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Apache Spark commented on SPARK-6348:
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User 'tanyinyan' has created a pull request for
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Yin Huai commented on SPARK-6250:
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[~nitay] Have you tried backticks? Does it work?
> Typ
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Nitay Joffe commented on SPARK-6250:
How would I do a select * from an existing hive m
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Michael Armbrust commented on SPARK-6250:
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I'm not suggesting you change your data
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Nitay Joffe commented on SPARK-6250:
Is it hard to fix this? Seems to me it would be a
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tanyinyan commented on SPARK-6349:
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Yes, this doesn't solve the problem of picking which
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yuhao yang edited comment on SPARK-5563 at 3/17/15 1:13 AM:
Ma
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Sean Owen commented on SPARK-6370:
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What's the bug? Each element is sampled with probabil
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Sean Owen commented on SPARK-6370:
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What's the bug? Each element is sampled with probabil
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Michael Armbrust commented on SPARK-6250:
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We have confirmed that this does work i
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Michael Armbrust resolved SPARK-6250.
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Resolution: Won't Fix
> Types are now reserved words in DDL parser.
>
What's the bug? Each element is sampled with probability 0.5. I think the
expected size is 14 but not all samples would be that size.
On Mar 17, 2015 12:12 AM, "Marko Bonaci (JIRA)" wrote:
> Marko Bonaci created SPARK-6370:
> ---
>
> Summary: RDD sampl
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yuhao yang commented on SPARK-5563:
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Matthew Willson. Thanks for the attention and idea.
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Michael Armbrust commented on SPARK-6320:
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Hmm, interesting. So far I had only co
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Michael Armbrust updated SPARK-6368:
Assignee: Yin Huai
> Build a specialized serializer for Exchange operator.
> --
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Chen Song commented on SPARK-6293:
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OK, I have created a pull request https://github.com/
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Kian Ho commented on SPARK-6340:
I appreciate the swift response! happy to keep this issue
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tanyinyan updated SPARK-6348:
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Comment: was deleted
(was: Yes,I use a one-hot encoding before SVM , which is the 'sparsed before
SVM ' e
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tanyinyan updated SPARK-6348:
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Comment: was deleted
(was: Yes,I use a one-hot encoding before SVM , which is the 'sparsed before
SVM ' e
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tanyinyan updated SPARK-6348:
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Comment: was deleted
(was: Yes,I use a one-hot encoding before SVM , which is the 'sparsed before
SVM ' e
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tanyinyan updated SPARK-6348:
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Comment: was deleted
(was: Yes,I use a one-hot encoding before SVM , which is the 'sparsed before
SVM ' e
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tanyinyan commented on SPARK-6348:
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Yes,I use a one-hot encoding before SVM , which is th
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tanyinyan commented on SPARK-6348:
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Yes,I use a one-hot encoding before SVM , which is th
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tanyinyan commented on SPARK-6348:
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Yes,I use a one-hot encoding before SVM , which is th
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tanyinyan commented on SPARK-6348:
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Yes,I use a one-hot encoding before SVM , which is th
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tanyinyan commented on SPARK-6348:
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Yes,I use a one-hot encoding before SVM , which is th
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Michael Armbrust commented on SPARK-6200:
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I'll add this seems to be mostly implem
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Michael Armbrust updated SPARK-6367:
Assignee: Yin Huai
> Use the proper data type for those expressions that are hijacking exist
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Michael Armbrust updated SPARK-6368:
Priority: Critical (was: Major)
> Build a specialized serializer for Exchange operator.
>
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Michael Armbrust updated SPARK-6247:
Priority: Blocker (was: Critical)
> Certain self joins cannot be analyzed
> ---
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Michael Armbrust updated SPARK-6366:
Assignee: Yin Huai
> In Python API, the default save mode for save and saveAsTable should be
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Michael Armbrust reassigned SPARK-6247:
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Assignee: Michael Armbrust
> Certain self joins cannot be analyzed
>
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Michael Armbrust updated SPARK-6231:
Priority: Blocker (was: Critical)
> Join on two tables (generated from same one) is broken
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Michael Armbrust updated SPARK-6366:
Priority: Blocker (was: Major)
> In Python API, the default save mode for save and saveAsTa
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Michael Armbrust updated SPARK-6200:
Target Version/s: 1.4.0 (was: 1.3.0)
> Support dialect in SQL
> --
>
>
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Michael Armbrust updated SPARK-5451:
Target Version/s: 1.4.0 (was: 1.3.0, 1.2.2)
> And predicates are not properly pushed down
>
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Michael Armbrust reassigned SPARK-5183:
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Assignee: Michael Armbrust
> Document data source API
>
>
>
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Michael Armbrust resolved SPARK-5183.
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Resolution: Fixed
Fix Version/s: 1.3.0
> Document data source API
> ---
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Tathagata Das commented on SPARK-5523:
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As long as the hostname object is short-lived
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Michael Armbrust updated SPARK-5911:
Target Version/s: 1.4.0 (was: 1.3.0)
> Make Column.cast(to: String) support fixed precision
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Michael Armbrust updated SPARK-6199:
Target Version/s: 1.4.0 (was: 1.3.0)
> Support CTE
> ---
>
> Key: S
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Michael Armbrust updated SPARK-6109:
Target Version/s: 1.4.0 (was: 1.3.0)
> Unit tests fail when compiled against Hive 0.12.0
>
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Michael Armbrust updated SPARK-5463:
Priority: Blocker (was: Critical)
> Fix Parquet filter push-down
>
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Michael Armbrust updated SPARK-5821:
Target Version/s: 1.3.1 (was: 1.3.0)
> JSONRelation should check if delete is successful fo
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Michael Armbrust updated SPARK-5463:
Target Version/s: 1.4.0 (was: 1.3.0, 1.2.2)
> Fix Parquet filter push-down
> --
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Michael Armbrust updated SPARK-6146:
Target Version/s: 1.4.0 (was: 1.3.0)
> Support more datatype in SqlParser
> ---
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Michael Armbrust commented on SPARK-6146:
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Now that we have our own DDL parser tha
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Michael Armbrust updated SPARK-5881:
Priority: Critical (was: Major)
> RDD remains cached after the table gets overridden by "CA
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Michael Armbrust updated SPARK-5881:
Target Version/s: 1.4.0 (was: 1.3.0)
> RDD remains cached after the table gets overridden b
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Joseph K. Bradley commented on SPARK-6340:
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You should be able to reliably zip th
Marko Bonaci created SPARK-6370:
---
Summary: RDD sampling with replacement intermittently yields
incorrect number of samples
Key: SPARK-6370
URL: https://issues.apache.org/jira/browse/SPARK-6370
Project:
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Michael Armbrust commented on SPARK-6200:
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Thank you for working on this. I would
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Saisai Shao commented on SPARK-6304:
Hi [~msoutier], the reason to remove these two co
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Michael Armbrust updated SPARK-6247:
Priority: Critical (was: Major)
> Certain self joins cannot be analyzed
> -
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https://issues.apache.org/jira/browse/SPARK-6231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-6231:
Target Version/s: 1.3.1
> Join on two tables (generated from same one) is broken
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https://issues.apache.org/jira/browse/SPARK-6247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-6247:
Target Version/s: 1.3.1 (was: 1.3.0)
> Certain self joins cannot be analyzed
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https://issues.apache.org/jira/browse/SPARK-6340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364246#comment-14364246
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Kian Ho edited comment on SPARK-6340 at 3/17/15 12:01 AM:
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Hi Jos
Michael Armbrust created SPARK-6369:
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Summary: InsertIntoHiveTable should use logic from
SparkHadoopWriter
Key: SPARK-6369
URL: https://issues.apache.org/jira/browse/SPARK-6369
Project: Spark
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Kian Ho commented on SPARK-6340:
Hi Joseph,
I initially considered that as a solution, ho
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https://issues.apache.org/jira/browse/SPARK-6362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364231#comment-14364231
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Joseph K. Bradley commented on SPARK-6362:
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This may be caused by [SPARK-5973], w
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https://issues.apache.org/jira/browse/SPARK-6348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364226#comment-14364226
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Joseph K. Bradley commented on SPARK-6348:
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Providing this feature sounds good.
Yin Huai created SPARK-6368:
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Summary: Build a specialized serializer for Exchange operator.
Key: SPARK-6368
URL: https://issues.apache.org/jira/browse/SPARK-6368
Project: Spark
Issue Type: Improv
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https://issues.apache.org/jira/browse/SPARK-6340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364219#comment-14364219
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Joseph K. Bradley commented on SPARK-6340:
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It is possible to keep track, as Rona
Yin Huai created SPARK-6367:
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Summary: Use the proper data type for those expressions that are
hijacking existing data types.
Key: SPARK-6367
URL: https://issues.apache.org/jira/browse/SPARK-6367
Project: S
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Joseph K. Bradley closed SPARK-6340.
Resolution: Not a Problem
> mllib.IDF for LabelPoints
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Michael Armbrust commented on SPARK-6319:
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I'm going to bump this to 1.4.0. I don
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https://issues.apache.org/jira/browse/SPARK-6319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust updated SPARK-6319:
Target Version/s: 1.4.0 (was: 1.3.1)
> DISTINCT doesn't work for binary type
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https://issues.apache.org/jira/browse/SPARK-5310?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364206#comment-14364206
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Michael Armbrust commented on SPARK-5310:
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I think I'd rather just publish more ex
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