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Yun Ni commented on SPARK-5992:
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Yes, I have implemented cosine, jaccard, euclidean and hamming distance.
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Sean Owen commented on SPARK-17898:
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Yeah, that's a general way to add authentication to an HTTP URL
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Xiao Li updated SPARK-17817:
Component/s: PySpark
> PySpark RDD Repartitioning Results in Highly Skewed Partition Sizes
>
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Xiao Li updated SPARK-16063:
Affects Version/s: SQL
> Add storageLevel to Dataset
> ---
>
>
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Xiao Li updated SPARK-16063:
Affects Version/s: (was: SQL)
> Add storageLevel to Dataset
> ---
>
>
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Liang-Chi Hsieh updated SPARK-17254:
Priority: Major (was: Minor)
> Filter operator should have “stop if false” semantics for
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Liang-Chi Hsieh updated SPARK-17254:
Attachment: (was: stop-after-physical-plan.pdf)
> Filter operator should have “stop if
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Liang-Chi Hsieh updated SPARK-17254:
Attachment: stop-after-physical-plan.pdf
> Filter operator should have “stop if false”
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Apache Spark commented on SPARK-17930:
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User 'witgo' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17930:
Assignee: Apache Spark
> The SerializerInstance instance used when deserializing a
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Sean Owen resolved SPARK-17951.
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Resolution: Not A Problem
This does not show a slow-down in an actual Spark operation though, and
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Sean Owen commented on SPARK-10590:
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Maven 3.3.x has been required (literally required by the Maven
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Xiao Li resolved SPARK-17892.
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Resolution: Fixed
Fix Version/s: 2.0.2
> Query in CTAS is Optimized Twice (branch-2.0)
>
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Vitaly Gerasimov edited comment on SPARK-17954 at 10/17/16 8:03 AM:
I
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Vitaly Gerasimov edited comment on SPARK-17954 at 10/17/16 8:01 AM:
I
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Tao Meng commented on SPARK-5:
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I find `org.apache.spark.util.Utils.localHostName` call
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Apache Spark reassigned SPARK-17930:
Assignee: (was: Apache Spark)
> The SerializerInstance instance used when
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Sean Owen commented on SPARK-650:
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BTW I am not suggesting an "empty RDD" for your case. That was specific
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Sean Owen commented on SPARK-17954:
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I recall there were changes about the default bind behavior. This
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xwebber commented on SPARK-17929:
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meet the same problem, seems the deadlock is obvious in code. will thy
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Vitaly Gerasimov commented on SPARK-17954:
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/etc/hosts for worker1.test (worker2.test hosts
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Sean Owen commented on SPARK-5:
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The host name is not the same as the host address. I don't think
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Jeff Zhang updated SPARK-16321:
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Component/s: (was: PySpark)
SQL
> [Spark 2.0] Performance regression when
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Xiao Li updated SPARK-16063:
Component/s: SQL
> Add storageLevel to Dataset
> ---
>
> Key:
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Apache Spark reassigned SPARK-17969:
Assignee: Apache Spark
> I think it's user unfriendly to process standard json file with
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Apache Spark reassigned SPARK-17969:
Assignee: (was: Apache Spark)
> I think it's user unfriendly to process standard json
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Apache Spark commented on SPARK-17969:
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User 'codlife' has created a pull request for this issue:
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Tao Meng commented on SPARK-5:
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Yes. Maybe the method name is not very accurate.
It is better to
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Vitaly Gerasimov edited comment on SPARK-17954 at 10/17/16 8:00 AM:
I
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Tathagata Das updated SPARK-17731:
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Fix Version/s: 2.0.2
> Metrics for Structured Streaming
>
>
>
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AbderRahman Sobh edited comment on SPARK-17950 at 10/18/16 12:05 AM:
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AbderRahman Sobh edited comment on SPARK-17950 at 10/18/16 12:07 AM:
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AbderRahman Sobh edited comment on SPARK-17950 at 10/18/16 12:07 AM:
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Reynold Xin closed SPARK-3132.
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Resolution: Not A Problem
Marking it as not-a-problem for now given Josh's comment.
> Avoid
Kishor Patil created SPARK-17979:
Summary: Remove deprecated support for config SPARK_YARN_USER_ENV
Key: SPARK-17979
URL: https://issues.apache.org/jira/browse/SPARK-17979
Project: Spark
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Davies Liu commented on SPARK-10915:
Currently all the aggregate functions are implemented in Scala,
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Josh Rosen commented on SPARK-7721:
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IIRC when I looked into this I hit problems with the HTML Publisher
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Apache Spark reassigned SPARK-17980:
Assignee: Apache Spark
> Fix refreshByPath for converted Hive tables
>
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Apache Spark commented on SPARK-17980:
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User 'ericl' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17980:
Assignee: (was: Apache Spark)
> Fix refreshByPath for converted Hive tables
>
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Alex Bozarth commented on SPARK-15708:
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I'm not sure closing this as cannot reproduce was correct,
Xiao Li created SPARK-17981:
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Summary: Incorrectly Set Nullability to False in FilterExec
Key: SPARK-17981
URL: https://issues.apache.org/jira/browse/SPARK-17981
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-17981:
Assignee: Apache Spark (was: Xiao Li)
> Incorrectly Set Nullability to False in
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Apache Spark reassigned SPARK-17957:
Assignee: Xiao Li (was: Apache Spark)
> Calling outer join and na.fill(0) and then inner
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Aris Vlasakakis commented on SPARK-17368:
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That is great, thank you for the help with this.
>
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Apache Spark commented on SPARK-17957:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17957:
Assignee: Apache Spark (was: Xiao Li)
> Calling outer join and na.fill(0) and then inner
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Apache Spark reassigned SPARK-17981:
Assignee: Xiao Li (was: Apache Spark)
> Incorrectly Set Nullability to False in
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Apache Spark commented on SPARK-17981:
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User 'gatorsmile' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17950?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15583877#comment-15583877
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AbderRahman Sobh commented on SPARK-17950:
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Yes, the full array needs to be expanded since the
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Angus Gerry commented on SPARK-10872:
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Hi [~srowen],
I'm chasing down something in our code base at
Franck Tago created SPARK-17982:
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Summary: Spark 2.0.0 CREATE VIEW statement fails when select
statement contains limit clause
Key: SPARK-17982
URL: https://issues.apache.org/jira/browse/SPARK-17982
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Eric Liang updated SPARK-17983:
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Description:
We should probably revive https://github.com/apache/spark/pull/14750 in order
to fix
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Marcelo Vanzin commented on SPARK-4160:
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You don't need to ask for permission to work on things.
>
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Marcelo Vanzin commented on SPARK-14212:
SPARK-15760 added the docs to 2.0 only, but I'm pretty
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Justin Miller commented on SPARK-17147:
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Could this possibly be related to why I'm seeing the
quanfuwang created SPARK-17984:
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Summary: Add support for numa aware
Key: SPARK-17984
URL: https://issues.apache.org/jira/browse/SPARK-17984
Project: Spark
Issue Type: Task
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Franck Tago commented on SPARK-17982:
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== SQL ==
SELECT `gen_attr_0` AS `WHERE_ID`, `gen_attr_2` AS
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Marcelo Vanzin resolved SPARK-12280.
Resolution: Cannot Reproduce
Please reopen with more info if you're still running into
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quanfuwang updated SPARK-17984:
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Description:
This Jira is target to add support numa aware feature which can help improve
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quanfuwang updated SPARK-17984:
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Description:
This Jira is target to add support numa aware feature which can help improve
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Marcelo Vanzin resolved SPARK-7882.
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Resolution: Not A Problem
HBase examples are not included anymore.
> HBase Input Format
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Marcelo Vanzin resolved SPARK-5925.
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Resolution: Won't Fix
I don't think this can be fixed in Spark at all. There's no way to know
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quanfuwang updated SPARK-17984:
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Description:
This Jira is target to add support numa aware feature which can help improve
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quanfuwang updated SPARK-17984:
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Summary: Add support for numa aware feature (was: Add support for numa
aware)
> Add support for
Takuya Ueshin created SPARK-17985:
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Summary: Bump commons-lang3 version to 3.5.
Key: SPARK-17985
URL: https://issues.apache.org/jira/browse/SPARK-17985
Project: Spark
Issue Type: Bug
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Marcelo Vanzin edited comment on SPARK-14212 at 10/18/16 3:50 AM:
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Marcelo Vanzin resolved SPARK-17504.
Resolution: Duplicate
> Spark App Handle from SparkLauncher always returns UNKNOWN app
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Cody Koeninger commented on SPARK-17147:
Well, are you using compacted topics?
> Spark Streaming
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Apache Spark reassigned SPARK-17984:
Assignee: Apache Spark
> Add support for numa aware
> --
>
>
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Apache Spark commented on SPARK-17984:
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User 'quanfuw' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17984:
Assignee: (was: Apache Spark)
> Add support for numa aware
>
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Marcelo Vanzin resolved SPARK-8122.
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Resolution: Won't Fix
This code doesn't exist anymore in 2.x at least, so I'll assume this
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quanfuwang updated SPARK-17984:
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Shepherd: (was: quanfuwang)
> Add support for numa aware
> --
>
>
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quanfuwang updated SPARK-17984:
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Issue Type: New Feature (was: Task)
> Add support for numa aware
> --
>
>
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Marcelo Vanzin resolved SPARK-6108.
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Resolution: Won't Fix
There are many ways currently to control how many applications are kept
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Marcelo Vanzin resolved SPARK-5230.
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Resolution: Done
Pretty sure I implemented this somewhere in the 1.x line.
> Print usage for
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Apache Spark reassigned SPARK-17985:
Assignee: (was: Apache Spark)
> Bump commons-lang3 version to 3.5.
>
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Apache Spark commented on SPARK-17985:
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User 'ueshin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17985:
Assignee: Apache Spark
> Bump commons-lang3 version to 3.5.
>
Drew Robb created SPARK-17986:
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Summary: SQLTransformer leaks temporary tables
Key: SPARK-17986
URL: https://issues.apache.org/jira/browse/SPARK-17986
Project: Spark
Issue Type: Bug
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Xiao Li resolved SPARK-17620.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15495
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Reynold Xin updated SPARK-17970:
Issue Type: Sub-task (was: New Feature)
Parent: SPARK-17861
> store partition spec in
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Reynold Xin commented on SPARK-17862:
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cc [~ekhliang] this was done right? Can you put the flag here?
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Reynold Xin resolved SPARK-17974.
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Resolution: Fixed
Assignee: Eric Liang
Fix Version/s: 2.1.0
> Refactor
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Reynold Xin updated SPARK-17974:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-17861
> Refactor FileCatalog
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Reynold Xin reopened SPARK-17974:
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Reopening since the previous commit was not tested by Jenkins (failed Scala
linter).
> Refactor
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https://issues.apache.org/jira/browse/SPARK-17974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17974:
Assignee: Apache Spark (was: Eric Liang)
> Refactor FileCatalog classes to simplify the
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https://issues.apache.org/jira/browse/SPARK-17974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17974:
Assignee: Eric Liang (was: Apache Spark)
> Refactor FileCatalog classes to simplify the
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https://issues.apache.org/jira/browse/SPARK-17956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liang-Chi Hsieh closed SPARK-17956.
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Resolution: Won't Fix
> ProjectExec has incorrect outputOrdering property
>
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https://issues.apache.org/jira/browse/SPARK-17986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Drew Robb updated SPARK-17986:
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Description:
The SQLTransformer creates a temporary table when called, and does not delete
this
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https://issues.apache.org/jira/browse/SPARK-17986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15584466#comment-15584466
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Apache Spark commented on SPARK-17986:
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User 'drewrobb' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17986:
Assignee: Apache Spark
> SQLTransformer leaks temporary tables
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https://issues.apache.org/jira/browse/SPARK-17986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17986:
Assignee: (was: Apache Spark)
> SQLTransformer leaks temporary tables
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https://issues.apache.org/jira/browse/SPARK-17813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15584515#comment-15584515
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Apache Spark commented on SPARK-17813:
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User 'koeninger' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17813?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17813:
Assignee: Apache Spark
> Maximum data per trigger
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https://issues.apache.org/jira/browse/SPARK-17813?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17813:
Assignee: (was: Apache Spark)
> Maximum data per trigger
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https://issues.apache.org/jira/browse/SPARK-17973?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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sriram kumar updated SPARK-17973:
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Description:
i cannot able to split Dataset exactly with condition. i have a scenario where
i
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https://issues.apache.org/jira/browse/SPARK-17368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15582882#comment-15582882
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Jakob Odersky commented on SPARK-17368:
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[~arisofala...@gmail.com] Let me explain the fix to what I
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https://issues.apache.org/jira/browse/SPARK-17944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15582898#comment-15582898
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Sean Owen commented on SPARK-17944:
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To solve this problem -- if it's really the only script-based
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