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Nicholas Chammas commented on SPARK-18084:
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cc [~marmbrus] - Dunno if this is actually bug or
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Nicholas Chammas updated SPARK-18084:
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Issue Type: Bug (was: Improvement)
> write.partitionBy() does not recognize nested
Nicholas Chammas created SPARK-18084:
Summary: write.partitionBy() does not recognize nested columns
that select() can access
Key: SPARK-18084
URL: https://issues.apache.org/jira/browse/SPARK-18084
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Nicholas Chammas commented on SPARK-12757:
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Just to link back, [~josephkb] is reporting that
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Nicholas Chammas closed SPARK-17976.
Resolution: Not A Problem
Ah, makes perfect sense. Would have realized that myself if I
Nicholas Chammas created SPARK-17976:
Summary: Global options to spark-submit should not be
position-sensitive
Key: SPARK-17976
URL: https://issues.apache.org/jira/browse/SPARK-17976
Project:
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https://issues.apache.org/jira/browse/SPARK-14742?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15452150#comment-15452150
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Nicholas Chammas edited comment on SPARK-14742 at 8/31/16 12:50 PM:
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Nicholas Chammas commented on SPARK-14742:
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Sounds good to me.
> Redirect spark-ec2 doc to new
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Nicholas Chammas commented on SPARK-14742:
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{quote}
Otherwise the only way to get to this link
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Nicholas Chammas commented on SPARK-14742:
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http://spark.apache.org/docs/latest/ec2-scripts.html
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Nicholas Chammas updated SPARK-17220:
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Component/s: PySpark
> Upgrade Py4J to 0.10.3
> --
>
>
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Nicholas Chammas commented on SPARK-14241:
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[~marmbrus] - Would it be tough to make this
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Nicholas Chammas commented on SPARK-17025:
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{quote}
We'd need to figure out a good design for
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Nicholas Chammas edited comment on SPARK-17025 at 8/11/16 7:33 PM:
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cc
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Nicholas Chammas edited comment on SPARK-17025 at 8/11/16 7:27 PM:
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cc
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Nicholas Chammas commented on SPARK-17025:
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cc [~josephkb] [~mengxr]
> Cannot persist PySpark
Nicholas Chammas created SPARK-17025:
Summary: Cannot persist PySpark ML Pipeline model that includes
custom Transformer
Key: SPARK-17025
URL: https://issues.apache.org/jira/browse/SPARK-17025
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https://issues.apache.org/jira/browse/SPARK-16921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15414067#comment-15414067
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Nicholas Chammas commented on SPARK-16921:
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[~holdenk] - Probably won't be able to do it myself
Nicholas Chammas created SPARK-16921:
Summary: RDD/DataFrame persist() and cache() should return Python
context managers
Key: SPARK-16921
URL: https://issues.apache.org/jira/browse/SPARK-16921
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Nicholas Chammas closed SPARK-7505.
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Resolution: Invalid
Closing this as invalid as I believe these issues are no longer
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Nicholas Chammas commented on SPARK-5312:
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[~boyork] - Shall we close this? It doesn't look like
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Nicholas Chammas edited comment on SPARK-7146 at 8/3/16 4:45 AM:
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A quick
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Nicholas Chammas commented on SPARK-7146:
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A quick update from a PySpark user: I am using
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Nicholas Chammas commented on SPARK-16782:
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Poking around a bit more, it seems like a possible
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Nicholas Chammas commented on SPARK-16782:
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Hmm never mind. I think I've misunderstood the
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Nicholas Chammas closed SPARK-16782.
Resolution: Invalid
> Use Sphinx autodoc to eliminate duplication of Python docstrings
>
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Nicholas Chammas commented on SPARK-12157:
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OK. I've raised the issue of documenting this in
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Nicholas Chammas commented on SPARK-16824:
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cc [~josephkb] [~mengxr] - Should this type be
Nicholas Chammas created SPARK-16824:
Summary: Add API docs for VectorUDT
Key: SPARK-16824
URL: https://issues.apache.org/jira/browse/SPARK-16824
Project: Spark
Issue Type: Improvement
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Nicholas Chammas commented on SPARK-12157:
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Thanks for the pointer, Maciej. It appears that
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Nicholas Chammas commented on SPARK-12157:
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It appears that it's not possible to have a UDF that
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Nicholas Chammas commented on SPARK-12157:
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I'm looking to define a UDF in PySpark that returns
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Nicholas Chammas commented on SPARK-16782:
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[~davies] [~joshrosen] - I can take this on if the
Nicholas Chammas created SPARK-16782:
Summary: Use Sphinx autodoc to eliminate duplication of Python
docstrings
Key: SPARK-16782
URL: https://issues.apache.org/jira/browse/SPARK-16782
Project:
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https://issues.apache.org/jira/browse/SPARK-16772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-16772:
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Summary: Correct API doc references to PySpark classes + formatting fixes
(was: Correct
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Nicholas Chammas updated SPARK-16772:
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Summary: Correct API doc references to PySpark classes (was: Correct API
doc references
Nicholas Chammas created SPARK-16772:
Summary: Correct API doc references to DataType + other minor doc
tweaks
Key: SPARK-16772
URL: https://issues.apache.org/jira/browse/SPARK-16772
Project:
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https://issues.apache.org/jira/browse/SPARK-7481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15389589#comment-15389589
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Nicholas Chammas commented on SPARK-7481:
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[~ste...@apache.org] - Some relevant reading for you
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Nicholas Chammas commented on SPARK-12661:
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OK, sounds good to me.
> Drop Python 2.6 support in
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Nicholas Chammas commented on SPARK-12661:
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Yes, I mean communicating our intention to drop
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Nicholas Chammas commented on SPARK-12661:
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To clarify what I mean by drop vs. deprecate,
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Nicholas Chammas edited comment on SPARK-12661 at 7/19/16 3:23 PM:
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To
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Nicholas Chammas commented on SPARK-12661:
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Just double-checking on something: Is it OK to drop
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Nicholas Chammas closed SPARK-16427.
Resolution: Invalid
> Expand documentation on the various RDD storage levels
>
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Nicholas Chammas commented on SPARK-16427:
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Oh nevermind, this information is all available
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Nicholas Chammas commented on SPARK-16427:
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My first question about this would be, how many
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Nicholas Chammas updated SPARK-3181:
Component/s: (was: MLilb)
MLlib
> Add Robust Regression Algorithm with
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https://issues.apache.org/jira/browse/SPARK-16156?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-16156:
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Component/s: (was: MLilb)
MLlib
> RowMatrıx Covariance
>
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https://issues.apache.org/jira/browse/SPARK-16074?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-16074:
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Component/s: (was: MLilb)
MLlib
> Expose VectorUDT/MatrixUDT in a
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https://issues.apache.org/jira/browse/SPARK-16377?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-16377:
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Component/s: (was: MLilb)
MLlib
> Spark MLlib:
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https://issues.apache.org/jira/browse/SPARK-16290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-16290:
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Component/s: (was: MLilb)
MLlib
> text type features column for
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https://issues.apache.org/jira/browse/SPARK-16232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-16232:
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Component/s: (was: MLilb)
MLlib
> Getting error by making columns
Nicholas Chammas created SPARK-16427:
Summary: Expand documentation on the various RDD storage levels
Key: SPARK-16427
URL: https://issues.apache.org/jira/browse/SPARK-16427
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15760?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15366702#comment-15366702
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Nicholas Chammas commented on SPARK-15760:
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Updating component since it seems we are using
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Nicholas Chammas updated SPARK-15441:
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Component/s: (was: sq;)
SQL
> dataset outer join seems to return
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Nicholas Chammas updated SPARK-15772:
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Component/s: (was: docs)
> Improve Scala API docs
> ---
>
>
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Nicholas Chammas updated SPARK-15760:
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Component/s: (was: docs)
Documentation
> Documentation missing for
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Nicholas Chammas commented on SPARK-:
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{quote}
Python itself has no compile time type safety.
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https://issues.apache.org/jira/browse/SPARK-11744?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15347297#comment-15347297
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Nicholas Chammas commented on SPARK-11744:
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This is not the appropriate place to ask random
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https://issues.apache.org/jira/browse/SPARK-3821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15292599#comment-15292599
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Nicholas Chammas commented on SPARK-3821:
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You can deploy Spark today on Docker just fine. It's
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Nicholas Chammas commented on SPARK-3821:
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Not sure if there is renewed interest, but at this
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Nicholas Chammas commented on SPARK-15072:
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Brief note from [~yhuai] on the motivation behind
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Nicholas Chammas commented on SPARK-10899:
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Is {{COUNT}} also something that can be pushed down?
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Nicholas Chammas edited comment on SPARK-7506 at 5/11/16 6:51 PM:
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Nicholas Chammas commented on SPARK-7506:
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[~davies] - Would you be interested in a PR that adds
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Nicholas Chammas updated SPARK-15256:
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Description:
The doc for the {{properties}} parameter [currently
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Nicholas Chammas updated SPARK-15256:
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Summary: Clarify the docstring for DataFrameReader.jdbc() (was: Correct
the docstring
Nicholas Chammas created SPARK-15256:
Summary: Correct the docstring for DataFrameReader.jdbc()
Key: SPARK-15256
URL: https://issues.apache.org/jira/browse/SPARK-15256
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15193?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15278393#comment-15278393
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Nicholas Chammas edited comment on SPARK-15193 at 5/10/16 4:27 PM:
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Nicholas Chammas commented on SPARK-15193:
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Nope, a sampling ratio of 1.0 and None mean
Nicholas Chammas created SPARK-15238:
Summary: Clarify Python 3 support in docs
Key: SPARK-15238
URL: https://issues.apache.org/jira/browse/SPARK-15238
Project: Spark
Issue Type:
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Nicholas Chammas commented on SPARK-12661:
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[~davies] / [~joshrosen] - Has this been settled on?
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Nicholas Chammas commented on SPARK-12661:
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[~shivaram] - Can you confirm that spark-ec2 will
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Nicholas Chammas commented on SPARK-15204:
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Loosely related: SPARK-15191
> Nullable is not
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Nicholas Chammas updated SPARK-15191:
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Affects Version/s: 1.6.1
> createDataFrame() should mark fields that are known not to be
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Nicholas Chammas commented on SPARK-15191:
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[~yhuai] - This loosely relates to the discussion in
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Nicholas Chammas commented on SPARK-15193:
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[~yhuai] - What do you think of this proposed
Nicholas Chammas created SPARK-15193:
Summary: samplingRatio should default to 1.0 across the board
Key: SPARK-15193
URL: https://issues.apache.org/jira/browse/SPARK-15193
Project: Spark
Nicholas Chammas created SPARK-15191:
Summary: createDataFrame() should mark fields that are known not
to be null as not nullable
Key: SPARK-15191
URL: https://issues.apache.org/jira/browse/SPARK-15191
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Nicholas Chammas commented on SPARK-13740:
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I noticed the PR only modifies PySpark. Are similar
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Nicholas Chammas commented on SPARK-11319:
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[~marmbrus] / [~yhuai] - Does SPARK-13740 resolve
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https://issues.apache.org/jira/browse/SPARK-14932?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15259266#comment-15259266
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Nicholas Chammas commented on SPARK-14932:
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[~marmbrus] - Not sure if you're a good person to
Nicholas Chammas created SPARK-14932:
Summary: Allow DataFrame.replace() to replace values with None
Key: SPARK-14932
URL: https://issues.apache.org/jira/browse/SPARK-14932
Project: Spark
Nicholas Chammas created SPARK-14742:
Summary: Redirect spark-ec2 doc to new location
Key: SPARK-14742
URL: https://issues.apache.org/jira/browse/SPARK-14742
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-8327?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15249144#comment-15249144
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Nicholas Chammas commented on SPARK-8327:
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[~vvladymyrov] - Is this still an issue? If so, I
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https://issues.apache.org/jira/browse/SPARK-6527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15249141#comment-15249141
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Nicholas Chammas commented on SPARK-6527:
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Did the s3a suggestion work? If not, did anybody file
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Nicholas Chammas edited comment on SPARK-6527 at 4/20/16 2:27 AM:
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Did
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Nicholas Chammas closed SPARK-3821.
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Resolution: Won't Fix
I'm resolving this as "Won't Fix" due to lack of interest, both on my
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https://issues.apache.org/jira/browse/SPARK-3533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15214577#comment-15214577
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Nicholas Chammas commented on SPARK-3533:
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I've added 2 workaround to this issue to the
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https://issues.apache.org/jira/browse/SPARK-3533?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-3533:
Description:
Users often have a single RDD of key-value pairs that they want to save to
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https://issues.apache.org/jira/browse/SPARK-7481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15197451#comment-15197451
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Nicholas Chammas commented on SPARK-7481:
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(Sorry Steve; can't comment on your proposal since I
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https://issues.apache.org/jira/browse/SPARK-7505?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15181776#comment-15181776
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Nicholas Chammas commented on SPARK-7505:
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I believe items 1, 3, and 4 still apply. They're minor
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https://issues.apache.org/jira/browse/SPARK-13596?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15180072#comment-15180072
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Nicholas Chammas commented on SPARK-13596:
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Looks like {{tox.ini}} is only used by {{pep8}}, so
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https://issues.apache.org/jira/browse/SPARK-7481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15176559#comment-15176559
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Nicholas Chammas commented on SPARK-7481:
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I'm not comfortable working with Maven so I can't
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https://issues.apache.org/jira/browse/SPARK-7481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15176551#comment-15176551
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Nicholas Chammas commented on SPARK-7481:
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{quote}
One issue here that hadoop 2.6's hadoop-aws
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https://issues.apache.org/jira/browse/SPARK-7481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15174438#comment-15174438
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Nicholas Chammas commented on SPARK-7481:
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Many people seem to be downgrading to use Spark built
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https://issues.apache.org/jira/browse/SPARK-5189?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15119220#comment-15119220
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Nicholas Chammas commented on SPARK-5189:
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FWIW, I found this issue to be practically unsolvable
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https://issues.apache.org/jira/browse/SPARK-12824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15098887#comment-15098887
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Nicholas Chammas commented on SPARK-12824:
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Ah, good catch. This appears to be a known behavior
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https://issues.apache.org/jira/browse/SPARK-12824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15098336#comment-15098336
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Nicholas Chammas commented on SPARK-12824:
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I can reproduce this issue. Here's a more concise
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https://issues.apache.org/jira/browse/SPARK-3821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14203280#comment-14203280
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Nicholas Chammas edited comment on SPARK-3821 at 12/18/15 9:08 PM:
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