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Shivaram Venkataraman resolved SPARK-12198.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request
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Shivaram Venkataraman commented on SPARK-12172:
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My opinion is that we should introduce the
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis running with a table that has a column of type raster
on
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis server running with a table that has a column of type raster
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis running with a table that has a column of type raster
on
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Sean Owen resolved SPARK-12266.
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Resolution: Not A Problem
That sounds like a custom type, according to JDBC. I don't think you can
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis running with a table that has a column of type raster
on
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Severin Thaler edited comment on SPARK-12266 at 12/10/15 7:08 PM:
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yes,
Jacek Laskowski created SPARK-12267:
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Summary: Standalone master keeps references to disassociated
workers until they sent no heartbeats
Key: SPARK-12267
URL: https://issues.apache.org/jira/browse/SPARK-12267
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Shixiong Zhu commented on SPARK-12267:
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cc [~vanzin]
> Standalone master keeps references to
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis server running with a table that has a column of type raster
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis running with a table that has a column of type raster
on
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https://issues.apache.org/jira/browse/SPARK-12237?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15051499#comment-15051499
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Nan Zhu commented on SPARK-12237:
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if that's the case, I don't think it would happen in the real world
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Jacek Laskowski commented on SPARK-12237:
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Sure, but that's not the issue who talks to whom, but
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Yin Huai reassigned SPARK-12250:
Assignee: Yin Huai
> Allow users to define a UDAF without providing details of its inputSchema
>
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Xiangrui Meng updated SPARK-11959:
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Assignee: Yanbo Liang (was: Xiangrui Meng)
> Document normal equation solver for ordinary
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis server running with a table that has a column of type raster
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis server running with a table that has a column of type raster
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Severin Thaler commented on SPARK-12266:
yes, im going to simplify the example and just use a
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Apache Spark commented on SPARK-2791:
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User 'aarondav' has created a pull request for this issue:
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Yin Huai resolved SPARK-12250.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 10236
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Yin Huai resolved SPARK-12228.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10204
Severin Thaler created SPARK-12266:
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Summary: cannot handle postgis raster type
Key: SPARK-12266
URL: https://issues.apache.org/jira/browse/SPARK-12266
Project: Spark
Issue Type: Bug
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Severin Thaler updated SPARK-12266:
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Description:
on server postgis server running with a table that has a column of type raster
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Xiao Li updated SPARK-12258:
Comment: was deleted
(was: [~cloud_fan] It sounds like it is related to the PR
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Michael Han commented on SPARK-8162:
Same with Aliaksei, Just got the same problem with
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Liang-Chi Hsieh commented on SPARK-12231:
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I have opened a PR
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Sean Owen commented on SPARK-12247:
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[~timhunter] no thank you, go ahead
> Documentation for
zihao created SPARK-12261:
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Summary: pyspark crash for large dataset
Key: SPARK-12261
URL: https://issues.apache.org/jira/browse/SPARK-12261
Project: Spark
Issue Type: Bug
Affects Versions:
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Cheng Lian updated SPARK-10364:
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Description:
The {{TimestampType}} in Spark SQL is of microsecond precision. Ideally, we
should
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Apache Spark commented on SPARK-8743:
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User 'nssalian' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-8657?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050295#comment-15050295
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Apache Spark commented on SPARK-8657:
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User 'litao-buptsse' has created a pull request for this issue:
pin_zhang created SPARK-12262:
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Summary: describe extended doesn't return table on detail info
tabled stored as PARQUET format
Key: SPARK-12262
URL: https://issues.apache.org/jira/browse/SPARK-12262
Mao, Wei created SPARK-12260:
Summary: Graceful Shutdown with In-Memory State
Key: SPARK-12260
URL: https://issues.apache.org/jira/browse/SPARK-12260
Project: Spark
Issue Type: New Feature
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Apache Spark commented on SPARK-7751:
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User 'petz2000' has created a pull request for this issue:
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Xiao Li commented on SPARK-12258:
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A PR has been submitted. Thanks
> Hive Timestamp UDF is binded with
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Mao, Wei commented on SPARK-12260:
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Here is the design doc:
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Cheng Lian resolved SPARK-10366.
Resolution: Fixed
Actually this has already been implemented since at least 1.4.
> Support
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Apache Spark commented on SPARK-8657:
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User 'litao-buptsse' has created a pull request for this issue:
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Apache Spark commented on SPARK-8657:
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User 'litao-buptsse' has created a pull request for this issue:
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Apache Spark commented on SPARK-8657:
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User 'litao-buptsse' has created a pull request for this issue:
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Dilip Biswal commented on SPARK-12257:
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Was able to reproduce this issue. Looking into it.
> Non
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Michael Lawrence commented on SPARK-12148:
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I agree. A deprecation cycle is good idea.
>
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Sean Owen commented on SPARK-12269:
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Ah, I realize Spark is on Jackson 2.4, not 2.5. If that difference
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Steve Loughran commented on SPARK-6270:
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[~shivaram] : can you have a look @ the logs and see what
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Marcelo Vanzin commented on SPARK-12267:
Pasting Shixiong's comments from github
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Davies Liu resolved SPARK-11713.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10082
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Joseph K. Bradley updated SPARK-12212:
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Target Version/s: 1.6.0
> Clarify the distinction between spark.mllib and spark.ml
>
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Benjamin Fradet commented on SPARK-12217:
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Sorry [~srowen], my bad, I wanted to duplicate the
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Sean Owen commented on SPARK-4816:
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I just tried building the 1.4.1 tarball with -Pnetlib-lgpl and I see
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Dan Putler commented on SPARK-12148:
Michael Lawrence's arguments are very valid. The S4Vector
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holdenk commented on SPARK-9578:
[~yuhaoyan] Are you working on this?
> Stemmer feature transformer
>
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Joseph K. Bradley resolved SPARK-12212.
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Resolution: Fixed
Fix Version/s: 1.6.1
2.0.0
Issue
Brian London created SPARK-12269:
Summary: Update aws-java-sdk version
Key: SPARK-12269
URL: https://issues.apache.org/jira/browse/SPARK-12269
Project: Spark
Issue Type: Improvement
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holdenk commented on SPARK-2870:
I can take a crack at implementing this if no one else is planning too.
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Marcelo Vanzin edited comment on SPARK-12267 at 12/10/15 9:59 PM:
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Erik Selin created SPARK-12268:
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Summary: pyspark shell uses execfile which breaks python3
compatibility
Key: SPARK-12268
URL: https://issues.apache.org/jira/browse/SPARK-12268
Project: Spark
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Marcelo Vanzin commented on SPARK-12267:
[~shixi...@databricks.com] you're right but that's the
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holdenk updated SPARK-12042:
Comment: was deleted
(was: I could take a crack at this since I've been giving some thought recently
to
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holdenk commented on SPARK-12072:
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Ok cool, let me take a look and see if there is another way to fix
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Marcelo Vanzin commented on SPARK-12267:
I think the following would work. The problem right now
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Brian London commented on SPARK-12269:
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The jackson 2.4 and 2.5 incompatibility has appeared
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dont_ping_this_account commented on SPARK-12267:
Sounds correct. But looks a lot changes
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Sean Owen updated SPARK-12269:
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Priority: Minor (was: Major)
Makes some sense, but the question is always: are there any incompatible
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Marcelo Vanzin resolved SPARK-11563.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.0.0
> Use
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Yin Huai updated SPARK-12258:
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Target Version/s: 1.6.0
> Hive Timestamp UDF is binded with '1969-12-31 15:59:59.99' for null value
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Davies Liu reassigned SPARK-12213:
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Assignee: Davies Liu
> Query with only one distinct should not having on expand
>
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Marcelo Vanzin commented on SPARK-12267:
bq. I think we can just handle it in `NettyRpcHandler`
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Min Qiu commented on SPARK-12032:
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We had run into the same problem in our product development and we had
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Mark Grover commented on SPARK-11796:
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Excellent, thank you!
> Docker JDBC integration tests fail in
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Yin Huai resolved SPARK-12258.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 10259
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Yin Huai updated SPARK-12258:
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Assignee: Davies Liu
> Hive Timestamp UDF is binded with '1969-12-31 15:59:59.99' for null value
>
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Apache Spark reassigned SPARK-12269:
Assignee: Apache Spark
> Update aws-java-sdk version
> ---
>
>
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Apache Spark commented on SPARK-12217:
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User 'BenFradet' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-9578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15051915#comment-15051915
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yuhao yang commented on SPARK-9578:
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Oh, I got a porter implementation now. I'll send it today or
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Shixiong Zhu commented on SPARK-12267:
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Could you send a PR quickly so that we can get the fix into
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Shixiong Zhu commented on SPARK-12267:
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If you don't have time, I can do it.
> Standalone master
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Apache Spark reassigned SPARK-12268:
Assignee: Apache Spark
> pyspark shell uses execfile which breaks python3 compatibility
>
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Andrew Or resolved SPARK-12251.
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Resolution: Fixed
> Document Spark 1.6's off-heap memory configurations and add config validation
>
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Andrew Or updated SPARK-12251:
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Fix Version/s: 1.6.0
> Document Spark 1.6's off-heap memory configurations and add config validation
>
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Mark Grover commented on SPARK-11796:
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Hey [~joshrosen], just checking if you have removed the
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Andrew Or reassigned SPARK-12155:
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Assignee: Andrew Or (was: Josh Rosen)
> Execution OOM after a relative large dataset cached in
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Andrew Or resolved SPARK-12155.
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Resolution: Fixed
Fix Version/s: 1.6.0
> Execution OOM after a relative large dataset cached
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Andrew Or resolved SPARK-12253.
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Resolution: Fixed
Fix Version/s: 1.6.0
> UnifiedMemoryManager race condition: storage can
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holdenk commented on SPARK-9578:
Cool :) I'll keep an eye out for the PR :)
> Stemmer feature transformer
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Josh Rosen commented on SPARK-11796:
Yep, I removed it from the Master and 1.6 Maven builds right
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https://issues.apache.org/jira/browse/SPARK-12260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15051949#comment-15051949
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Mao, Wei commented on SPARK-12260:
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In order to recover from process restarting, there are several
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https://issues.apache.org/jira/browse/SPARK-11962?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050493#comment-15050493
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Apache Spark commented on SPARK-11962:
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User 'aa8y' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-12196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050563#comment-15050563
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Apache Spark commented on SPARK-12196:
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User 'yucai' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-12255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-12255.
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Resolution: Invalid
Questions go to u...@spark.apache.org not JIRA
> why "cache table a as select *
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https://issues.apache.org/jira/browse/SPARK-3106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-3106.
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Resolution: Incomplete
> Fix the race condition issue about Connection and ConnectionManager
>
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https://issues.apache.org/jira/browse/SPARK-3461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050499#comment-15050499
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Pere Ferrera Bertran commented on SPARK-3461:
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Hi [~rxin], does this mean that the current
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https://issues.apache.org/jira/browse/SPARK-3461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050537#comment-15050537
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Pere Ferrera Bertran commented on SPARK-3461:
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Made a question before, but I think it made not
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https://issues.apache.org/jira/browse/SPARK-12260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050906#comment-15050906
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Sean Owen commented on SPARK-12260:
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Isn't this what updateStateByKey and similar methods already
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https://issues.apache.org/jira/browse/SPARK-12257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12257:
Assignee: (was: Apache Spark)
> Non partitioned insert into a partitioned Hive table
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https://issues.apache.org/jira/browse/SPARK-12257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050587#comment-15050587
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Apache Spark commented on SPARK-12257:
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User 'dilipbiswal' has created a pull request for this
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https://issues.apache.org/jira/browse/SPARK-8498?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15050613#comment-15050613
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Apache Spark commented on SPARK-8498:
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User 'andrewor14' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-12261?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-12261.
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Resolution: Not A Problem
I think it's pretty clear: you pulled a lot of data to your driver and it
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https://issues.apache.org/jira/browse/SPARK-3461?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pere Ferrera Bertran updated SPARK-3461:
Comment: was deleted
(was: Hi [~rxin], does this mean that the current DataFrames
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https://issues.apache.org/jira/browse/SPARK-12257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-12257:
Assignee: Apache Spark
> Non partitioned insert into a partitioned Hive table doesn't
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