Nicholas Chammas created SPARK-30832:
Summary: SQL function doc headers should link to anchors
Key: SPARK-30832
URL: https://issues.apache.org/jira/browse/SPARK-30832
Project: Spark
Nicholas Chammas created SPARK-30731:
Summary: Refine doc-building workflow
Key: SPARK-30731
URL: https://issues.apache.org/jira/browse/SPARK-30731
Project: Spark
Issue Type: Improvement
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Nicholas Chammas updated SPARK-30510:
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Description:
SPARK-20236 added a new option,
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Nicholas Chammas updated SPARK-30510:
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Summary: Publicly document options under spark.sql.* (was: Document
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Nicholas Chammas updated SPARK-30665:
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Summary: Eliminate pypandoc dependency (was: Remove Pandoc dependency in
PySpark
Nicholas Chammas created SPARK-30672:
Summary: numpy is a dependency for building PySpark API docs
Key: SPARK-30672
URL: https://issues.apache.org/jira/browse/SPARK-30672
Project: Spark
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Nicholas Chammas commented on SPARK-30665:
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> Remove Pandoc dependency in PySpark setup.py
>
Nicholas Chammas created SPARK-30665:
Summary: Remove Pandoc dependency in PySpark setup.py
Key: SPARK-30665
URL: https://issues.apache.org/jira/browse/SPARK-30665
Project: Spark
Issue
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Nicholas Chammas commented on SPARK-19248:
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Thanks for getting to the bottom of the issue,
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Nicholas Chammas resolved SPARK-30557.
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Resolution: Won't Fix
> Add public documentation for SPARK_SUBMIT_OPTS
>
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Nicholas Chammas commented on SPARK-30557:
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[~vanzin] - Do you know if this is something we
Nicholas Chammas created SPARK-30557:
Summary: Add public documentation for SPARK_SUBMIT_OPTS
Key: SPARK-30557
URL: https://issues.apache.org/jira/browse/SPARK-30557
Project: Spark
Issue
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Nicholas Chammas commented on SPARK-30510:
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[~hyukjin.kwon] I think I'm missing something here
Nicholas Chammas created SPARK-30510:
Summary: Document spark.sql.sources.partitionOverwriteMode
Key: SPARK-30510
URL: https://issues.apache.org/jira/browse/SPARK-30510
Project: Spark
Nicholas Chammas created SPARK-30173:
Summary: Automatically close stale PRs
Key: SPARK-30173
URL: https://issues.apache.org/jira/browse/SPARK-30173
Project: Spark
Issue Type:
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Nicholas Chammas updated SPARK-30128:
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Description:
Following on to SPARK-29903 and similar issues (linked), there are options
Nicholas Chammas created SPARK-30128:
Summary: Promote remaining "hidden" PySpark DataFrameReader
options to load APIs
Key: SPARK-30128
URL: https://issues.apache.org/jira/browse/SPARK-30128
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Nicholas Chammas commented on SPARK-27547:
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Should this be marked as resolved by
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Nicholas Chammas updated SPARK-30091:
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Summary: Document mergeSchema option directly in the Python Parquet APIs
(was:
Nicholas Chammas created SPARK-30113:
Summary: Document mergeSchema option in Python Orc APIs
Key: SPARK-30113
URL: https://issues.apache.org/jira/browse/SPARK-30113
Project: Spark
Issue
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Nicholas Chammas updated SPARK-30091:
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Affects Version/s: (was: 3.0.0)
2.4.4
> Document mergeSchema
Nicholas Chammas created SPARK-30091:
Summary: Document mergeSchema option directly in the Python API
Key: SPARK-30091
URL: https://issues.apache.org/jira/browse/SPARK-30091
Project: Spark
Nicholas Chammas created SPARK-30084:
Summary: Add docs showing how to automatically rebuild Python API
docs
Key: SPARK-30084
URL: https://issues.apache.org/jira/browse/SPARK-30084
Project: Spark
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Nicholas Chammas commented on SPARK-29903:
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Happy to do that. Going to wait for [this
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Nicholas Chammas commented on SPARK-29903:
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cc [~cloud_fan] and [~weichenxu123]
> Add
Nicholas Chammas created SPARK-29903:
Summary: Add documentation for recursiveFileLookup
Key: SPARK-29903
URL: https://issues.apache.org/jira/browse/SPARK-29903
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-27990?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16969462#comment-16969462
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Nicholas Chammas edited comment on SPARK-27990 at 11/7/19 5:54 PM:
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Nicholas Chammas commented on SPARK-27990:
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Are there any docs for this new option? I can't
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Nicholas Chammas reopened SPARK-16483:
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Though this has been bulk closed, I still think it's a valuable potential
improvement to
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Nicholas Chammas updated SPARK-29280:
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Description:
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Nicholas Chammas edited comment on SPARK-29102 at 9/28/19 5:35 AM:
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I
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Nicholas Chammas commented on SPARK-29280:
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cc [~hyukjin.kwon], [~cloud_fan]
> DataFrameReader
Nicholas Chammas created SPARK-29280:
Summary: DataFrameReader should support a compression option
Key: SPARK-29280
URL: https://issues.apache.org/jira/browse/SPARK-29280
Project: Spark
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Nicholas Chammas commented on SPARK-29102:
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I figured it out. Looks like the correct setting is
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Nicholas Chammas commented on SPARK-29102:
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I wonder if
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Nicholas Chammas commented on SPARK-29102:
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[~hyukjin.kwon] - Would you happen to know how to
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Nicholas Chammas commented on SPARK-29102:
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{quote}It duplicately decompresses and each map
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Nicholas Chammas resolved SPARK-29102.
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Resolution: Won't Fix
> Read gzipped file into multiple partitions without full gzip
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Nicholas Chammas commented on SPARK-29102:
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Ah, thanks for the reference! So if I'm just trying
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Nicholas Chammas commented on SPARK-29102:
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cc [~cloud_fan] and [~hyukjin.kwon]: I noticed your
Nicholas Chammas created SPARK-29102:
Summary: Read gzipped file into multiple partitions without full
gzip expansion on a single-node
Key: SPARK-29102
URL: https://issues.apache.org/jira/browse/SPARK-29102
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Nicholas Chammas commented on SPARK-25603:
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[~dbtsai] - Just watched [your Spark Summit talk on
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Nicholas Chammas edited comment on SPARK-4502 at 8/19/19 7:55 PM:
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Nicholas Chammas edited comment on SPARK-25150 at 8/19/19 7:39 PM:
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I
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Nicholas Chammas updated SPARK-25150:
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Affects Version/s: 2.4.3
Labels: correctness (was: )
I haven't been
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Nicholas Chammas updated SPARK-19248:
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Labels: correctness (was: )
Tagging this as a correctness issue since Spark 2+'s
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Nicholas Chammas updated SPARK-18084:
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Affects Version/s: 2.4.3
Retested and confirmed that this issue is still present in
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Nicholas Chammas updated SPARK-10892:
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Affects Version/s: 2.4.0
Labels: correctness (was: )
Updating affected
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Nicholas Chammas commented on SPARK-4502:
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Thanks for your notes [~Bartalos]. Just FYI, nested
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Nicholas Chammas updated SPARK-16824:
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Labels: (was: bulk-closed)
> Add API docs for VectorUDT
> --
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Nicholas Chammas reopened SPARK-16824:
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Reviewing the links here, it seems that VectorUDT has been in use since 2016 at
the
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Nicholas Chammas updated SPARK-16824:
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Affects Version/s: 2.4.3
> Add API docs for VectorUDT
> --
>
>
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Nicholas Chammas updated SPARK-19248:
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Labels: (was: bulk-closed)
> Regex_replace works in 1.6 but not in 2.0
>
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Nicholas Chammas updated SPARK-19248:
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Affects Version/s: 2.4.3
> Regex_replace works in 1.6 but not in 2.0
>
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Nicholas Chammas reopened SPARK-19248:
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> Regex_replace works in 1.6 but not in 2.0
> -
>
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Nicholas Chammas updated SPARK-19248:
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Component/s: PySpark
> Regex_replace works in 1.6 but not in 2.0
>
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Nicholas Chammas commented on SPARK-19248:
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Looks like Spark 2.4.3 still exhibits the behavior
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Nicholas Chammas commented on SPARK-18277:
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[~hyukjin.kwon] - If I still think this issue is
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Nicholas Chammas commented on SPARK-10892:
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Is this issue still present in Spark 2.3.2 or
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Nicholas Chammas commented on SPARK-25150:
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Correct, this isn't a cross join. It's just a plain
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Nicholas Chammas commented on SPARK-25150:
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([~petertoth] - Seeing your comment edit now.) OK,
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Nicholas Chammas commented on SPARK-25150:
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I've uploaded the expected output.
I realize that
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Nicholas Chammas updated SPARK-25150:
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Attachment: expected-output.txt
> Joining DataFrames derived from the same source
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Nicholas Chammas updated SPARK-25150:
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Description:
I have two DataFrames, A and B. From B, I have derived two additional
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Nicholas Chammas commented on SPARK-25150:
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The attachments on this ticket contain a complete
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Nicholas Chammas commented on SPARK-25150:
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[~cloud_fan] / [~srowen] - Would you consider this
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Nicholas Chammas commented on SPARK-25150:
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Given that Spark appears to provide incorrect
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Nicholas Chammas edited comment on SPARK-25150 at 8/17/18 6:15 PM:
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I
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Nicholas Chammas commented on SPARK-25150:
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I know there are a bunch of pending bug fixes in
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Nicholas Chammas updated SPARK-25150:
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Attachment: zombie-analysis.py
states.csv
persons.csv
Nicholas Chammas created SPARK-25150:
Summary: Joining DataFrames derived from the same source yields
confusing/incorrect results
Key: SPARK-25150
URL: https://issues.apache.org/jira/browse/SPARK-25150
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https://issues.apache.org/jira/browse/SPARK-23945?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16468045#comment-16468045
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Nicholas Chammas edited comment on SPARK-23945 at 5/8/18 10:22 PM:
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Nicholas Chammas commented on SPARK-23945:
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> So in the grand scheme of things I'd expect
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Nicholas Chammas edited comment on SPARK-23945 at 5/8/18 10:13 PM:
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I
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Nicholas Chammas commented on SPARK-23945:
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I always looked at DataFrames and SQL as two
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Nicholas Chammas updated SPARK-23945:
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Description:
In SQL you can filter rows based on the result of a subquery:
{code:java}
Nicholas Chammas created SPARK-23945:
Summary: Column.isin() should accept a single-column DataFrame as
input
Key: SPARK-23945
URL: https://issues.apache.org/jira/browse/SPARK-23945
Project:
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Nicholas Chammas commented on SPARK-22513:
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Thanks for the breakdown. This will be handy for
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Nicholas Chammas edited comment on SPARK-23716 at 3/24/18 5:13 AM:
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For
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Nicholas Chammas resolved SPARK-23716.
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Resolution: Won't Fix
For my use case, there is no value in updating the Spark release
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Nicholas Chammas commented on SPARK-22513:
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Fair enough.
Just as an alternate confirmation,
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Nicholas Chammas commented on SPARK-23534:
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I don't know what it takes to add a Hadoop 3.0 build
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Nicholas Chammas commented on SPARK-23534:
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I believe this ticket is a duplicate of SPARK-23151,
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Nicholas Chammas commented on SPARK-22513:
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[~srowen] - Just curious: How do you know that Spark
Nicholas Chammas created SPARK-23716:
Summary: Change SHA512 style in release artifacts to play nicely
with shasum utility
Key: SPARK-23716
URL: https://issues.apache.org/jira/browse/SPARK-23716
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Nicholas Chammas commented on SPARK-18492:
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[~imranshaik] - This is an open source project. You
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Nicholas Chammas commented on SPARK-18492:
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Are you seeing the same on Spark 2.3.0? Apparently,
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Nicholas Chammas commented on SPARK-13587:
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To follow-up on my [earlier
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Nicholas Chammas commented on SPARK-17025:
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I take that back. I won't be able to test this for
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https://issues.apache.org/jira/browse/SPARK-17025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16128271#comment-16128271
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Nicholas Chammas commented on SPARK-17025:
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I'm still interested in this but I won't be able to
Nicholas Chammas created SPARK-21712:
Summary: Clarify PySpark Column.substr() type checking error
message
Key: SPARK-21712
URL: https://issues.apache.org/jira/browse/SPARK-21712
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-21110?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16059536#comment-16059536
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Nicholas Chammas commented on SPARK-21110:
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cc [~marmbrus] - Assuming this is a valid feature
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https://issues.apache.org/jira/browse/SPARK-21110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas updated SPARK-21110:
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Summary: Structs should be usable in inequality filters (was: Structs
should be
Nicholas Chammas created SPARK-21110:
Summary: Structs should be orderable
Key: SPARK-21110
URL: https://issues.apache.org/jira/browse/SPARK-21110
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-12661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16035062#comment-16035062
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Nicholas Chammas commented on SPARK-12661:
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I think we are good to resolve this provided that
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https://issues.apache.org/jira/browse/SPARK-9862?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16020030#comment-16020030
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Nicholas Chammas commented on SPARK-9862:
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Is this issue meant to be a SQL-equivalent of
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https://issues.apache.org/jira/browse/SPARK-19553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15870780#comment-15870780
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Nicholas Chammas edited comment on SPARK-19553 at 3/14/17 2:38 PM:
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The
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https://issues.apache.org/jira/browse/SPARK-15474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15893703#comment-15893703
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Nicholas Chammas commented on SPARK-15474:
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cc [~owen.omalley]
> ORC data source fails to
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https://issues.apache.org/jira/browse/SPARK-19578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15890930#comment-15890930
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Nicholas Chammas commented on SPARK-19578:
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Makes sense to me. I suppose the Apache Arrow
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https://issues.apache.org/jira/browse/SPARK-15474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15890639#comment-15890639
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Nicholas Chammas commented on SPARK-15474:
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There is a related discussion on ORC-152 which
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