holdenk created SPARK-21231:
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Summary: Conda install of packages during Jenkins testing is
causing intermittent failure
Key: SPARK-21231
URL: https://issues.apache.org/jira/browse/SPARK-21231
Project: Spark
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holdenk reassigned SPARK-21278:
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Assignee: Dongjoon Hyun
> Upgrade to Py4J 0.10.6
> --
>
> Key: S
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holdenk updated SPARK-21278:
Fix Version/s: 2.3.0
> Upgrade to Py4J 0.10.6
> --
>
> Key: SPARK-21278
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holdenk resolved SPARK-21278.
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Resolution: Fixed
Issue resolved by pull request 18546
[https://github.com/apache/spark/pull/18546]
> Up
holdenk created SPARK-21384:
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Summary: Spark 2.2 + YARN without spark.yarn.jars /
spark.yarn.archive fails
Key: SPARK-21384
URL: https://issues.apache.org/jira/browse/SPARK-21384
Project: Spark
Is
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https://issues.apache.org/jira/browse/SPARK-21425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16088842#comment-16088842
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holdenk commented on SPARK-21425:
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Thanks for finding this. I've given some thought in th
holdenk created SPARK-21434:
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Summary: Add PySpark pip documentation
Key: SPARK-21434
URL: https://issues.apache.org/jira/browse/SPARK-21434
Project: Spark
Issue Type: Improvement
Compone
holdenk created SPARK-21436:
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Summary: Take advantage of known partioner for distinct on RDDs
Key: SPARK-21436
URL: https://issues.apache.org/jira/browse/SPARK-21436
Project: Spark
Issue Type: Impr
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https://issues.apache.org/jira/browse/SPARK-21394?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-21394:
Affects Version/s: (was: 2.2.0)
> Reviving broken callable objects in UDF in PySpark
>
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holdenk reassigned SPARK-21432:
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Assignee: Hyukjin Kwon
> Reviving broken partial functions in UDF in PySpark
> -
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holdenk resolved SPARK-21432.
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Resolution: Fixed
> Reviving broken partial functions in UDF in PySpark
> ---
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holdenk reassigned SPARK-21394:
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Assignee: Hyukjin Kwon
> Reviving broken callable objects in UDF in PySpark
> --
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holdenk resolved SPARK-21394.
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Resolution: Fixed
> Reviving broken callable objects in UDF in PySpark
>
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holdenk updated SPARK-21432:
Fix Version/s: 2.3.0
> Reviving broken partial functions in UDF in PySpark
> --
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https://issues.apache.org/jira/browse/SPARK-21394?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-21394:
Fix Version/s: 2.3.0
> Reviving broken callable objects in UDF in PySpark
> ---
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https://issues.apache.org/jira/browse/SPARK-7146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16095299#comment-16095299
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holdenk commented on SPARK-7146:
So it seems like there is a (more recent) agreement that
holdenk created SPARK-21489:
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Summary: Update release docs to point out Python 2.6 support is
removed.
Key: SPARK-21489
URL: https://issues.apache.org/jira/browse/SPARK-21489
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-21489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-21489.
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Resolution: Resolved
Assignee: Hyukjin Kwon
Fix Version/s: 2.2.1
Fixed in
https://github
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holdenk reassigned SPARK-21434:
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Assignee: holdenk
> Add PySpark pip documentation
> -
>
>
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holdenk resolved SPARK-21434.
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Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull request 186
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https://issues.apache.org/jira/browse/SPARK-20090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-20090.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18618
[https://github.com/ap
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holdenk reassigned SPARK-20090:
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Assignee: Hyukjin Kwon
> Add StructType.fieldNames to Python API
> -
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https://issues.apache.org/jira/browse/SPARK-21573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16106024#comment-16106024
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holdenk commented on SPARK-21573:
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Yes we did drop 2.6 support. We should change the scri
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https://issues.apache.org/jira/browse/SPARK-16020?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15353579#comment-15353579
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holdenk commented on SPARK-16020:
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Do we know why this bug happened?
> Fix complete mode
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holdenk commented on SPARK-13233:
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[~maver1ck] not really sure what the API plan is here
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holdenk commented on SPARK-13233:
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The ability to intermix functional transformations eas
holdenk created SPARK-16407:
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Summary: Allow users to supply custom StreamSinkProviders
Key: SPARK-16407
URL: https://issues.apache.org/jira/browse/SPARK-16407
Project: Spark
Issue Type: Improvemen
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https://issues.apache.org/jira/browse/SPARK-15581?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15366520#comment-15366520
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holdenk commented on SPARK-15581:
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What do we think of Streaming ML Pipelines being on th
holdenk created SPARK-16424:
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Summary: Add support for Structured Streaming to the ML Pipeline
API
Key: SPARK-16424
URL: https://issues.apache.org/jira/browse/SPARK-16424
Project: Spark
Issue Type
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holdenk commented on SPARK-15581:
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Yah - the more I look at it the more rough it seems -
holdenk created SPARK-16454:
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Summary: Consider adding a per-batch transform for structured
streaming
Key: SPARK-16454
URL: https://issues.apache.org/jira/browse/SPARK-16454
Project: Spark
Issue T
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holdenk updated SPARK-16424:
Description:
For Spark 2.1 we should consider adding support for machine learning on top of
the structured
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https://issues.apache.org/jira/browse/SPARK-14813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15371624#comment-15371624
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holdenk commented on SPARK-14813:
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Yup, auditing is done and once 2.0 is out we will go b
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holdenk updated SPARK-15581:
Description:
This is a master list for MLlib improvements we are working on for the next
release. Please v
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https://issues.apache.org/jira/browse/SPARK-16589?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15390299#comment-15390299
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holdenk commented on SPARK-16589:
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Yah I think we should explore whats going on a bit mor
holdenk created SPARK-16720:
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Summary: Loading CSV file with 2k+ columns and writing result with
one selected column fails during attribute resolution
Key: SPARK-16720
URL: https://issues.apache.org/jira/browse/SPARK-16
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holdenk updated SPARK-16720:
Summary: Loading CSV file with 2k+ columns fails during attribute
resolution on action (was: Loading CSV f
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https://issues.apache.org/jira/browse/SPARK-15130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15392716#comment-15392716
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holdenk commented on SPARK-15130:
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Now that 2.0 is ready to go out, maybe we can decide w
holdenk created SPARK-16773:
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Summary: Post Spark 2.0 deprecation cleanup
Key: SPARK-16773
URL: https://issues.apache.org/jira/browse/SPARK-16773
Project: Spark
Issue Type: Improvement
Co
holdenk created SPARK-16774:
---
Summary: Fix use of deprecated TimeStamp constructor
Key: SPARK-16774
URL: https://issues.apache.org/jira/browse/SPARK-16774
Project: Spark
Issue Type: Sub-task
holdenk created SPARK-16775:
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Summary: Reduce internal warnings from deprecated accumulator API
Key: SPARK-16775
URL: https://issues.apache.org/jira/browse/SPARK-16775
Project: Spark
Issue Type: Su
holdenk created SPARK-16776:
---
Summary: Fix Kafka deprecation warnings
Key: SPARK-16776
URL: https://issues.apache.org/jira/browse/SPARK-16776
Project: Spark
Issue Type: Sub-task
Component
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holdenk updated SPARK-16775:
Component/s: (was: ML)
(was: SQL)
(was: MLlib)
> Reduce inter
holdenk created SPARK-16777:
---
Summary: Parquet schema converter depends on deprecated APIs
Key: SPARK-16777
URL: https://issues.apache.org/jira/browse/SPARK-16777
Project: Spark
Issue Type: Sub-tas
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holdenk updated SPARK-16775:
Component/s: SQL
> Reduce internal warnings from deprecated accumulator API
> -
holdenk created SPARK-16778:
---
Summary: Fix use of deprecated SQLContext constructor
Key: SPARK-16778
URL: https://issues.apache.org/jira/browse/SPARK-16778
Project: Spark
Issue Type: Sub-task
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holdenk updated SPARK-16773:
Summary: Post Spark 2.0 deprecation & warnings cleanup (was: Post Spark
2.0 deprecation cleanup)
> Post S
holdenk created SPARK-16779:
---
Summary: Fix unnecessary use of postfix operations
Key: SPARK-16779
URL: https://issues.apache.org/jira/browse/SPARK-16779
Project: Spark
Issue Type: Sub-task
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holdenk commented on SPARK-16779:
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I'm sort of on the fence with fixing as well - but we
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holdenk edited comment on SPARK-16779 at 7/28/16 6:36 PM:
--
I'm s
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holdenk commented on SPARK-16774:
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While diving into this (relatedly I hate timezones) -
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holdenk updated SPARK-16774:
Summary: Fix use of deprecated TimeStamp constructor (also providing
incorrect results) (was: Fix use of d
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holdenk updated SPARK-16774:
Description: The TimeStamp constructor we use inside of DateTime utils has
been deprecated since JDK 1.1 -
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holdenk updated SPARK-16774:
Description: The TimeStamp constructor we use inside of DateTime utils has
been deprecated since JDK 1.1 -
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holdenk edited comment on SPARK-16774 at 7/28/16 11:38 PM:
---
Whi
holdenk created SPARK-16788:
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Summary: Investigate JSR-310 & scala-time alternatives to our own
datetime utils
Key: SPARK-16788
URL: https://issues.apache.org/jira/browse/SPARK-16788
Project: Spark
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holdenk commented on SPARK-16788:
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cc [~davies] [~ckadner] :)
> Investigate JSR-310 & sc
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holdenk commented on SPARK-16777:
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That's a good point, thanks for the comment/note :) I
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holdenk commented on SPARK-16777:
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Go for it :) Please CC me on the PR so I can do a code
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holdenk commented on SPARK-16776:
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Is this one you wanted to take on as well?
> Fix Kafk
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holdenk commented on SPARK-16779:
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I've gone ahead and done a more full-scope version - l
holdenk created SPARK-16814:
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Summary: Fix deprecated use of ParquetWriter in Parquet test suites
Key: SPARK-16814
URL: https://issues.apache.org/jira/browse/SPARK-16814
Project: Spark
Issue Type:
holdenk created SPARK-27095:
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Summary: We depend on silently accepting failures in
setup-integration-test-env.sh
Key: SPARK-27095
URL: https://issues.apache.org/jira/browse/SPARK-27095
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-9792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-9792.
Resolution: Fixed
Fix Version/s: 3.0.0
> PySpark DenseMatrix, SparseMatrix should override __eq__
>
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holdenk commented on SPARK-18073:
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I like the idea of migrating everything off of the wik
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holdenk reopened SPARK-1267:
re-opening after discussion on mailing list and PR thread.
> Add a pip installer for PySpark
>
holdenk created SPARK-18128:
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Summary: Add support for publishing to PyPI
Key: SPARK-18128
URL: https://issues.apache.org/jira/browse/SPARK-18128
Project: Spark
Issue Type: Improvement
Co
holdenk created SPARK-18129:
---
Summary: Sign pip artifacts
Key: SPARK-18129
URL: https://issues.apache.org/jira/browse/SPARK-18129
Project: Spark
Issue Type: Improvement
Components: PySpar
holdenk created SPARK-18136:
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Summary: Make PySpark pip install works on windows
Key: SPARK-18136
URL: https://issues.apache.org/jira/browse/SPARK-18136
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-17602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15611611#comment-15611611
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holdenk commented on SPARK-17602:
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This certainly looks interesting, do you maybe have so
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holdenk updated SPARK-18128:
Description:
After SPARK-1267 is done we should add support for publishing to PyPI similar
to how we publi
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https://issues.apache.org/jira/browse/SPARK-2868?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15625621#comment-15625621
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holdenk commented on SPARK-2868:
or maybe [~rxin] or [~squito] who have been doing some ot
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holdenk closed SPARK-3981.
--
Resolution: Won't Fix
I'm closing this as a "Won't Fix" for now since we are moving over to the ML
APIs. If thi
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holdenk closed SPARK-7638.
--
Resolution: Won't Fix
We are moving away from the MLlib APIs, so any new functionality should be done
against t
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https://issues.apache.org/jira/browse/SPARK-7146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15625685#comment-15625685
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holdenk commented on SPARK-7146:
I think it might be reasonable to just expose it as Scala
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holdenk commented on SPARK-18128:
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Extracted from the discussion around SPARK-1267:
Peop
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holdenk commented on SPARK-15581:
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This sounds like really good suggestions - I think som
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holdenk commented on SPARK-18128:
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Good call - so publishing to PyPI test has worked fine
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holdenk commented on SPARK-18128:
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Sure
> Add support for publishing to PyPI
> -
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holdenk commented on SPARK-18128:
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When I e-mailed [~prabinb] earlier this week I got an
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holdenk updated SPARK-18128:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-18267
> Add support for publishing to PyPI
>
holdenk created SPARK-18418:
---
Summary: Make release script hadoop profiles aren't correctly
specified.
Key: SPARK-18418
URL: https://issues.apache.org/jira/browse/SPARK-18418
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-2620?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15674308#comment-15674308
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holdenk commented on SPARK-2620:
I don't think its been resolved, does your code need to b
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https://issues.apache.org/jira/browse/SPARK-12469?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15687563#comment-15687563
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holdenk commented on SPARK-12469:
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Hi [~rxin]/[~squito] if we want to try and get this in
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holdenk commented on SPARK-12469:
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In some ways I agree, on the other hand its slipped 2.
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holdenk commented on SPARK-12469:
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Cool - I'll bug y'all after the 2.1 release is out so
holdenk created SPARK-18576:
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Summary: Expose basic TaskContext info in PySpark
Key: SPARK-18576
URL: https://issues.apache.org/jira/browse/SPARK-18576
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-18541?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695922#comment-15695922
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holdenk commented on SPARK-18541:
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Making it easier for PySpark SQL users to specify meta
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holdenk updated SPARK-18532:
Component/s: (was: Spark Core)
SQL
> Code generation memory issue
> --
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https://issues.apache.org/jira/browse/SPARK-18502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-18502:
Component/s: (was: Spark Core)
SQL
> Spark does not handle columns that contain backqu
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https://issues.apache.org/jira/browse/SPARK-18405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695936#comment-15695936
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holdenk commented on SPARK-18405:
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Even in cluster mode you could overwhelm the node runn
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https://issues.apache.org/jira/browse/SPARK-18128?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695939#comment-15695939
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holdenk commented on SPARK-18128:
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Thanks! :) I'll start working on this issue once we st
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https://issues.apache.org/jira/browse/SPARK-18128?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695941#comment-15695941
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holdenk commented on SPARK-18128:
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Thanks! :) I'll start working on this issue once we st
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https://issues.apache.org/jira/browse/SPARK-18108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-18108:
Component/s: (was: Spark Core)
SQL
> Partition discovery fails with explicitly written
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https://issues.apache.org/jira/browse/SPARK-17788?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695956#comment-15695956
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holdenk commented on SPARK-17788:
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This is semi-expected behaviour of the range partition
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https://issues.apache.org/jira/browse/SPARK-17788?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk updated SPARK-17788:
Target Version/s: (was: 2.1.0)
> RangePartitioner results in few very large tasks and many small to empty
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https://issues.apache.org/jira/browse/SPARK-636?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695967#comment-15695967
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holdenk commented on SPARK-636:
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If you have a logging system you want to initialize wouldn't
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https://issues.apache.org/jira/browse/SPARK-5190?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15696003#comment-15696003
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holdenk commented on SPARK-5190:
This seems to be fixed, but we forgot to close (cc [~josh
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https://issues.apache.org/jira/browse/SPARK-3348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-3348.
Resolution: Duplicate
> Support user-defined SparkListeners properly
> -
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https://issues.apache.org/jira/browse/SPARK-5997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15696016#comment-15696016
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holdenk commented on SPARK-5997:
That could work, although we'd probably want a different
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