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yuhao yang commented on SPARK-17094:
Something like Stanford CoreNLP pipeline:
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Apache Spark reassigned SPARK-17427:
Assignee: (was: Apache Spark)
> function SIZE should return -1 when parameter is null
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Apache Spark commented on SPARK-17427:
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User 'adrian-wang' has created a pull request for this
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Apache Spark reassigned SPARK-17427:
Assignee: Apache Spark
> function SIZE should return -1 when parameter is null
>
Adrian Wang created SPARK-17427:
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Summary: function SIZE should return -1 when parameter is null
Key: SPARK-17427
URL: https://issues.apache.org/jira/browse/SPARK-17427
Project: Spark
Issue
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Aris Vlasakakis commented on SPARK-17368:
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It goes from inconvenient to actually prohibitive in a
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Apache Spark reassigned SPARK-17426:
Assignee: (was: Apache Spark)
> Current TreeNode.toJSON may trigger OOM under some
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Apache Spark reassigned SPARK-17426:
Assignee: Apache Spark
> Current TreeNode.toJSON may trigger OOM under some corner cases
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Apache Spark commented on SPARK-17426:
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User 'clockfly' has created a pull request for this issue:
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Sean Zhong updated SPARK-17426:
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Target Version/s: 2.1.0
Description:
In SPARK-17356, we fix the OOM issue when Metadata is
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Sean Zhong updated SPARK-17426:
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Description:
In SPARK-17356, we fix the OOM issue when Metadata is super big. There are
other cases
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Sean Zhong updated SPARK-17426:
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Component/s: SQL
> Current TreeNode.toJSON may trigger OOM under some corner cases
>
Sean Zhong created SPARK-17426:
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Summary: Current TreeNode.toJSON may trigger OOM under some corner
cases
Key: SPARK-17426
URL: https://issues.apache.org/jira/browse/SPARK-17426
Project: Spark
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Jacek Laskowski commented on SPARK-17405:
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It definitely got better with the build today Sept,
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Guoqiang Li updated SPARK-6235:
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Attachment: (was: SPARK-6235_Design_V0.01.pdf)
> Address various 2G limits
>
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Guoqiang Li updated SPARK-6235:
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Attachment: SPARK-6235_Design_V0.02.pdf
> Address various 2G limits
> -
>
>
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Tomer Kaftan commented on SPARK-17110:
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Thanks all who helped out with this!
> Pyspark with
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Tathagata Das resolved SPARK-17372.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by
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Wenchen Fan updated SPARK-17279:
Fix Version/s: 2.0.1
> better error message for exceptions during ScalaUDF execution
>
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Yadong Qi updated SPARK-17425:
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Summary: Override sameResult in HiveTableScanExec to make ReuseExchange
work in text format table
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Apache Spark reassigned SPARK-17425:
Assignee: (was: Apache Spark)
> Override sameResult in HiveTableScanExec to make
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Apache Spark commented on SPARK-17425:
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User 'watermen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17425:
Assignee: Apache Spark
> Override sameResult in HiveTableScanExec to make ReusedExchange
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Yadong Qi updated SPARK-17425:
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Description:
When I run the below SQL(table src is text format):
{code:sql}
SELECT * FROM src t1
JOIN
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Yadong Qi updated SPARK-17425:
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Description:
When I run the below SQL(table src is text format):
{code:sql}
SELECT 1 FROM src t1
JOIN
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Yadong Qi updated SPARK-17425:
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Description:
When I run the below SQL(table src is text format):
{code:sql}
SELECT 1 FROM src t1
JOIN
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Yadong Qi updated SPARK-17425:
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Description:
When I run the below SQL(table src is text format):
{code:sql}
SELECT 1 FROM src t1
JOIN
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Yadong Qi updated SPARK-17425:
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Description:
When I run the below SQL(table src is text format):
{code:sql}
SELECT 1 FROM src t1
JOIN
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Yadong Qi updated SPARK-17425:
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Affects Version/s: 2.0.0
Component/s: SQL
> Override sameResult in HiveTableScanExec to make
Yadong Qi created SPARK-17425:
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Summary: Override sameResult in HiveTableScanExec to make
ReusedExchange work in text format table
Key: SPARK-17425
URL: https://issues.apache.org/jira/browse/SPARK-17425
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Yadong Qi updated SPARK-17425:
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Description:
When I run the below SQL(table src is text format):
{code:sql}
select 1 from src t1
join
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Wenchen Fan resolved SPARK-17238.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14809
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Tathagata Das updated SPARK-17372:
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Description:
When we create a filestream on a directory that has partitioned subdirs (i.e.
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Tathagata Das updated SPARK-17372:
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Description:
When we create a filestream on a directory that has partitioned subdirs (i.e.
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Sital Kedia commented on SPARK-16922:
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There is no noticable performance gain I observed comparing to
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Apache Spark commented on SPARK-17372:
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User 'tdas' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17372:
Assignee: Tathagata Das (was: Apache Spark)
> Running a file stream on a directory with
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Apache Spark reassigned SPARK-17372:
Assignee: Apache Spark (was: Tathagata Das)
> Running a file stream on a directory with
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https://issues.apache.org/jira/browse/SPARK-17408?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan updated SPARK-17408:
Assignee: Xiao Li
> Flaky test: org.apache.spark.sql.hive.StatisticsSuite
>
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Wenchen Fan resolved SPARK-17408.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14978
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Josh Rosen updated SPARK-17371:
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Assignee: Eric Liang
> Resubmitted stage outputs deleted by zombie map tasks on stop()
>
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Josh Rosen resolved SPARK-17371.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14932
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Herman van Hovell commented on SPARK-17423:
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IMO LEAD and LAG with ignore nulls seem a bit
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Apache Spark reassigned SPARK-17421:
Assignee: Apache Spark
> Warnings about "MaxPermSize" parameter when building with Maven
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Apache Spark commented on SPARK-17421:
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User 'frreiss' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17421:
Assignee: (was: Apache Spark)
> Warnings about "MaxPermSize" parameter when building
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https://issues.apache.org/jira/browse/SPARK-17396?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468932#comment-15468932
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Ryan Blue commented on SPARK-17396:
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I opened a PR with a fix. It still uses a ForkJoinPool because the
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Apache Spark commented on SPARK-17396:
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User 'rdblue' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17296?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468928#comment-15468928
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Apache Spark commented on SPARK-17296:
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User 'hvanhovell' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17396?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17396:
Assignee: Apache Spark
> Threads number keep increasing when query on external CSV
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Apache Spark reassigned SPARK-17396:
Assignee: (was: Apache Spark)
> Threads number keep increasing when query on external
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Ryan Blue updated SPARK-17424:
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Description:
I have a job that uses datasets in 1.6.1 and is failing with this error:
{code}
16/09/02
Ryan Blue created SPARK-17424:
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Summary: Dataset job fails from unsound substitution in
ScalaReflect
Key: SPARK-17424
URL: https://issues.apache.org/jira/browse/SPARK-17424
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16026?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468891#comment-15468891
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Srinath commented on SPARK-16026:
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I have a couple of comments/questions on the proposal.
Regarding the
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Herman van Hovell resolved SPARK-17253.
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Resolution: Duplicate
Assignee: Herman van Hovell
Fix Version/s:
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Herman van Hovell resolved SPARK-17296.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Spark SQL: cross join + two joins =
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Herman van Hovell reassigned SPARK-17296:
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Assignee: Herman van Hovell
> Spark SQL: cross join + two joins = BUG
>
Tim Chan created SPARK-17423:
Summary: Support IGNORE NULLS option in Window functions
Key: SPARK-17423
URL: https://issues.apache.org/jira/browse/SPARK-17423
Project: Spark
Issue Type:
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Jakob Odersky edited comment on SPARK-17368 at 9/6/16 10:57 PM:
So I
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Marcelo Vanzin resolved SPARK-15891.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.1.0
> Make
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Luciano Resende updated SPARK-17422:
Description:
It seems that Ganglia is now BSD licensed
http://ganglia.info/ and
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Jakob Odersky commented on SPARK-17368:
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So I thought about this a bit more and although it is
Luciano Resende created SPARK-17422:
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Summary: Update Ganglia project with new license
Key: SPARK-17422
URL: https://issues.apache.org/jira/browse/SPARK-17422
Project: Spark
Issue Type:
Frederick Reiss created SPARK-17421:
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Summary: Warnings about "MaxPermSize" parameter when building with
Maven and Java 8
Key: SPARK-17421
URL: https://issues.apache.org/jira/browse/SPARK-17421
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Josh Rosen resolved SPARK-17110.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Josh Rosen commented on SPARK-17405:
On the Spark Dev list, [~jlaskowski] found a simpler example
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Davies Liu commented on SPARK-17381:
cc [~cloud_fan]
> Memory leak
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Davies Liu closed SPARK-17384.
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Resolution: Duplicate
Assignee: Herman van Hovell
> SQL - Running query with outer join from 1.6
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Davies Liu commented on SPARK-17384:
This is caused by the SQL parser change, the parsed plan in 1.6:
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Dhruve Ashar commented on SPARK-17417:
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Thanks for the suggestion. I'll work on the changes and
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Sean Owen updated SPARK-17299:
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Assignee: Sandeep Singh
> TRIM/LTRIM/RTRIM strips characters other than spaces
>
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Sean Owen resolved SPARK-17299.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
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Sean Owen resolved SPARK-17378.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
1.6.3
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Davies Liu commented on SPARK-17377:
Tested this with latest master and 2.0 on databricks[1], they
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Davies Liu reassigned SPARK-17377:
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Assignee: Davies Liu
> Joining Datasets read and aggregated from a partitioned Parquet file
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Apache Spark commented on SPARK-17316:
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User 'zsxwing' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17377?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-17377:
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Description:
Reproduction:
1) Read two Datasets from a partitioned Parquet file with different
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Shivaram Venkataraman commented on SPARK-17420:
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This came up in
Shivaram Venkataraman created SPARK-17420:
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Summary: Install rmarkdown R package on Jenkins machines
Key: SPARK-17420
URL: https://issues.apache.org/jira/browse/SPARK-17420
Project: Spark
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Ruben Hernando commented on SPARK-17403:
I'm sorry I can't share the data.
This is a 2 tables
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Joseph K. Bradley commented on SPARK-11478:
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I'm not sure if it was on purpose. I could see
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Joseph K. Bradley updated SPARK-11478:
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Priority: Minor (was: Major)
> ML StringIndexer return inconsistent schema
>
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Sean Owen commented on SPARK-17417:
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I'd bump the padding to allow 10 digits, because that would
Michael Gummelt created SPARK-17419:
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Summary: Mesos virtual network support
Key: SPARK-17419
URL: https://issues.apache.org/jira/browse/SPARK-17419
Project: Spark
Issue Type: Task
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Joseph K. Bradley commented on SPARK-17201:
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Does this actually resolve the issue?
The quotes
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Davies Liu commented on SPARK-17403:
[~rhernando] Could you pull out the string column (SL_RD_ColR_N)
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Sean Owen commented on SPARK-17418:
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Aha. The problem is this:
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https://issues.apache.org/jira/browse/SPARK-17403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-17403:
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Summary: Fatal Error: Scan cached strings (was: Fatal Error: SIGSEGV on
Jdbc joins)
> Fatal Error:
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https://issues.apache.org/jira/browse/SPARK-17418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468410#comment-15468410
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Sean Owen commented on SPARK-17418:
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I don't see any Kinesis artifacts in the Spark distribution. Where
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https://issues.apache.org/jira/browse/SPARK-17407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468372#comment-15468372
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Seth Hendrickson commented on SPARK-17407:
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[~chriddyp] The file stream source checks for new
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https://issues.apache.org/jira/browse/SPARK-17418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468362#comment-15468362
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Apache Spark commented on SPARK-17418:
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User 'lresende' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468364#comment-15468364
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Davies Liu commented on SPARK-16922:
Is there any performance difference comparing to
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Apache Spark reassigned SPARK-17418:
Assignee: Apache Spark
> Spark release must NOT distribute Kinesis related artifacts
>
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Apache Spark reassigned SPARK-17418:
Assignee: (was: Apache Spark)
> Spark release must NOT distribute Kinesis related
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https://issues.apache.org/jira/browse/SPARK-17418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468348#comment-15468348
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Luciano Resende commented on SPARK-17418:
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I am going to create a PR for this, basically removing
Luciano Resende created SPARK-17418:
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Summary: Spark release must NOT distribute Kinesis related
artifacts
Key: SPARK-17418
URL: https://issues.apache.org/jira/browse/SPARK-17418
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-16922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468339#comment-15468339
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Sital Kedia commented on SPARK-16922:
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[~davies] - Thanks for looking into this. I tested the
Dhruve Ashar created SPARK-17417:
Summary: Fix # of partitions for RDD while checkpointing -
Currently limited by 1(%05d)
Key: SPARK-17417
URL: https://issues.apache.org/jira/browse/SPARK-17417
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https://issues.apache.org/jira/browse/SPARK-17317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17317:
Assignee: Apache Spark
> Add package vignette to SparkR
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https://issues.apache.org/jira/browse/SPARK-17317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15468250#comment-15468250
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Apache Spark commented on SPARK-17317:
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User 'junyangq' has created a pull request for this issue:
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