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Reynold Xin updated SPARK-21404:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-22216
> Simple Vectorized Python
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Reynold Xin commented on SPARK-22216:
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What you'd want to do is to move those to become subtasks. I
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Reynold Xin reassigned SPARK-15689:
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Assignee: Wenchen Fan
> Data source API v2
> --
>
> Key:
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Reynold Xin resolved SPARK-22160.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Allow changing sample points per partition in
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Reynold Xin closed SPARK-15687.
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Resolution: Later
Actually closing this, since with whole-stage code generation, it's unclear
what
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Reynold Xin commented on SPARK-21190:
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OK it would be great to have a better error message, e.g.
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Reynold Xin commented on SPARK-21190:
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Where did we settle on 0-arg UDFs? I think we should just
Reynold Xin created SPARK-22160:
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Summary: Allow changing sample points per partition in range
shuffle exchange
Key: SPARK-22160
URL: https://issues.apache.org/jira/browse/SPARK-22160
Project: Spark
Reynold Xin created SPARK-22159:
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Summary: spark.sql.execution.arrow.enable and
spark.sql.codegen.aggregate.map.twolevel.enable -> enabled
Key: SPARK-22159
URL: https://issues.apache.org/jira/browse/SPARK-22159
Reynold Xin created SPARK-22153:
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Summary: Rename ShuffleExchange -> ShuffleExchangeExec
Key: SPARK-22153
URL: https://issues.apache.org/jira/browse/SPARK-22153
Project: Spark
Issue Type: Task
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Reynold Xin commented on SPARK-21190:
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Maybe create an umbrella ticket so it is easier to link.
>
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Reynold Xin commented on SPARK-21914:
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Thanks for pinging me. Given the test coverage for this is
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Reynold Xin commented on SPARK-21867:
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This makes sense. The devil is in the details though (e.g. how
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Reynold Xin commented on SPARK-15689:
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That seems like an issue orthogonal to the API described here.
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Reynold Xin commented on SPARK-15689:
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Not the author but my guess is that the other approach
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Reynold Xin updated SPARK-21778:
Summary: Simpler Dataset.sample API in Scala / Java (was: Simpler
Dataset.sample API in Scala)
>
Reynold Xin created SPARK-21779:
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Summary: Simpler Dataset.sample API in Python
Key: SPARK-21779
URL: https://issues.apache.org/jira/browse/SPARK-21779
Project: Spark
Issue Type: Sub-task
Reynold Xin created SPARK-21780:
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Summary: Simpler Dataset.sample API in R
Key: SPARK-21780
URL: https://issues.apache.org/jira/browse/SPARK-21780
Project: Spark
Issue Type: Sub-task
Reynold Xin created SPARK-21778:
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Summary: Simpler Dataset.sample API in Scala
Key: SPARK-21778
URL: https://issues.apache.org/jira/browse/SPARK-21778
Project: Spark
Issue Type: Sub-task
Reynold Xin created SPARK-21777:
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Summary: Simpler Dataset.sample API
Key: SPARK-21777
URL: https://issues.apache.org/jira/browse/SPARK-21777
Project: Spark
Issue Type: New Feature
Reynold Xin created SPARK-21726:
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Summary: Check for structural integrity of the plan in QO in test
mode
Key: SPARK-21726
URL: https://issues.apache.org/jira/browse/SPARK-21726
Project: Spark
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Reynold Xin commented on SPARK-21726:
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cc [~viirya] would you be interested in doing this?
> Check
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Reynold Xin updated SPARK-21699:
Fix Version/s: 2.2.1
> Remove unused getTableOption in ExternalCatalog
>
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Reynold Xin resolved SPARK-21699.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Remove unused getTableOption in ExternalCatalog
Reynold Xin created SPARK-21699:
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Summary: Remove unused getTableOption in ExternalCatalog
Key: SPARK-21699
URL: https://issues.apache.org/jira/browse/SPARK-21699
Project: Spark
Issue Type:
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Reynold Xin resolved SPARK-21669.
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Resolution: Fixed
Assignee: Adrian Ionescu
Fix Version/s: 2.3.0
> Internal API
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Reynold Xin resolved SPARK-21551.
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Resolution: Fixed
Assignee: peay
Fix Version/s: 2.3.0
> pyspark's collect fails
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Reynold Xin closed SPARK-21362.
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Resolution: Won't Fix
See my comment on github ...
> Add JDBCDialect for Apache Drill
>
Reynold Xin created SPARK-21644:
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Summary: LocalLimit.maxRows is defined incorrectly
Key: SPARK-21644
URL: https://issues.apache.org/jira/browse/SPARK-21644
Project: Spark
Issue Type: Bug
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Reynold Xin commented on SPARK-21634:
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Done in https://github.com/apache/spark/pull/18839
> Change
Reynold Xin created SPARK-21634:
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Summary: Change OneRowRelation from a case object to case class
Key: SPARK-21634
URL: https://issues.apache.org/jira/browse/SPARK-21634
Project: Spark
Issue
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Reynold Xin commented on SPARK-21619:
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Just look at structured streaming. That eould be one example.
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Reynold Xin commented on SPARK-21619:
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Just generate different physical plan?
> Fail the
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Reynold Xin commented on SPARK-21619:
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Ok so we are good with this one.
Sorry I don't see why this
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Reynold Xin commented on SPARK-21619:
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Also self-joins are very difficult to handle. They have
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Reynold Xin commented on SPARK-21619:
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Mark that's a great point but you are going into the
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Reynold Xin commented on SPARK-21619:
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Sorry I don't understand your question or point at all. Why
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Reynold Xin commented on SPARK-21619:
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Canonicalized plan is used for semantic comparison. This has
Reynold Xin created SPARK-21619:
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Summary: Fail the execution of canonicalized plans explicitly
Key: SPARK-21619
URL: https://issues.apache.org/jira/browse/SPARK-21619
Project: Spark
Issue
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Reynold Xin commented on SPARK-21551:
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Sure.
> pyspark's collect fails when getaddrinfo is too slow
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Reynold Xin commented on SPARK-21551:
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Do you want to submit a pull request?
> pyspark's collect
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Reynold Xin resolved SPARK-21485.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.3.0
> API
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Reynold Xin resolved SPARK-12957.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Derive and propagate data constrains in logical
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Reynold Xin commented on SPARK-21485:
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Pretty cool. Would be great to just generate the function list
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Reynold Xin commented on SPARK-19842:
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Are you guys doing any work here?
> Informational Referential
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Reynold Xin commented on SPARK-18085:
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[~vanzin] That's actually not true anymore. It was re-licensed
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Reynold Xin commented on SPARK-9686:
The best way to advance the issue is probably for somebody to
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Reynold Xin updated SPARK-20236:
Labels: releasenotes (was: )
> Overwrite a partitioned data source table should only overwrite
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Reynold Xin commented on SPARK-18085:
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You should email dev@ to notify the list about a new SPIP.
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Reynold Xin updated SPARK-18085:
Summary: SPIP: Better History Server scalability for many / large
applications (was: Better
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Reynold Xin commented on SPARK-18085:
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That sounds good to me. I don't actually think the SPIP
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Reynold Xin edited comment on SPARK-20641 at 7/12/17 5:06 AM:
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BTW why are
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Reynold Xin commented on SPARK-18085:
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This is just large enough to warrant / deserve a SPIP to be
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Reynold Xin edited comment on SPARK-20641 at 7/12/17 5:05 AM:
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BTW why are
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Reynold Xin commented on SPARK-20641:
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BTW why are we not using RocksDB? I saw that you just
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Reynold Xin resolved SPARK-21358.
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Resolution: Fixed
Assignee: chie hayashida
Fix Version/s: 2.3.0
> Argument of
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Reynold Xin commented on SPARK-21349:
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cc [~cloud_fan]
Shouldn't task metric just be a single
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Reynold Xin commented on SPARK-18085:
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[~vanzin] seems like this should have a SPIP? Looks super
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Reynold Xin commented on SPARK-21190:
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[~bryanc] Sorry I don't think it makes sense to not introduce
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Reynold Xin updated SPARK-21190:
Description:
*Background and Motivation*
Python is one of the most popular programming languages
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Reynold Xin resolved SPARK-21323.
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Resolution: Fixed
Assignee: Gengliang Wang
Fix Version/s: 2.3.0
> Rename
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Reynold Xin commented on SPARK-15533:
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Just use a star.
On Sat, Jul 1, 2017 at 9:33 AM Sagara
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Reynold Xin commented on SPARK-21274:
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Do you want to submit a pull request?
> Implement EXCEPT ALL
Reynold Xin created SPARK-21273:
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Summary: Decouple stats propagation from logical plan
Key: SPARK-21273
URL: https://issues.apache.org/jira/browse/SPARK-21273
Project: Spark
Issue Type:
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Reynold Xin closed SPARK-21270.
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Resolution: Won't Fix
While I absolutely would love to see this feature, I don't think this is
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Reynold Xin resolved SPARK-17924.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Consolidate streaming and batch write path
>
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Reynold Xin commented on SPARK-21190:
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That makes a lot of sense. So to design APIs similar to a lot
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Reynold Xin closed SPARK-18199.
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Resolution: Invalid
I'm closing this as invalid. It is not a good idea to append to an existing
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Reynold Xin commented on SPARK-14220:
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If all those issues have been released than it would be easy.
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Reynold Xin commented on SPARK-21190:
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[~icexelloss] Thanks. Your proposal brings up a good point,
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Reynold Xin commented on SPARK-18016:
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Was this merged in 2.1? If yes we should revert it from
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Reynold Xin updated SPARK-21190:
Attachment: SPIPVectorizedUDFsforPython (1).pdf
> SPIP: Vectorized UDFs in Python
>
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Reynold Xin updated SPARK-21190:
Description:
*Background and Motivation*
Python is one of the most popular programming languages
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Reynold Xin closed SPARK-20817.
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Resolution: Won't Fix
See github discussions.
> Benchmark.getProcessorName() returns "Unknown
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Reynold Xin updated SPARK-21190:
Description:
*Background and Motivation*
Python is one of the most popular programming languages
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https://issues.apache.org/jira/browse/SPARK-14220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16060549#comment-16060549
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Reynold Xin commented on SPARK-14220:
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Making it build isn't that much work, but getting the API to
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Reynold Xin updated SPARK-21190:
Description:
*Background and Motivation*
Python is one of the most popular programming languages
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https://issues.apache.org/jira/browse/SPARK-21190?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-21190:
Summary: SPIP: Vectorized UDFs in Python (was: SPIP: Vectorized UDFs for
Python)
> SPIP:
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Reynold Xin reassigned SPARK-21190:
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Assignee: Reynold Xin
> SPIP: Vectorized UDFs for Python
>
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Reynold Xin updated SPARK-21190:
Description:
*Background and Motivation*
Python is one of the most popular programming languages
Reynold Xin created SPARK-21190:
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Summary: SPIP: Vectorized UDFs for Python
Key: SPARK-21190
URL: https://issues.apache.org/jira/browse/SPARK-21190
Project: Spark
Issue Type: New Feature
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Reynold Xin updated SPARK-14220:
Target Version/s: (was: 2.3.0)
> Build and test Spark against Scala 2.12
>
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Reynold Xin commented on SPARK-14220:
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I just removed the target version given the amount of work.
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Reynold Xin commented on SPARK-21187:
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Does Pandas support array / struct / map?
> Complete support
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Reynold Xin updated SPARK-13534:
Issue Type: Sub-task (was: New Feature)
Parent: SPARK-21187
> Implement Apache Arrow
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Reynold Xin commented on SPARK-13534:
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Was this done? I thought there are still other data types that
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Reynold Xin resolved SPARK-21103.
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Resolution: Fixed
Fix Version/s: 2.3.0
> QueryPlanConstraints should be part of
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https://issues.apache.org/jira/browse/SPARK-21102?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16054600#comment-16054600
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Reynold Xin commented on SPARK-21102:
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Can you submit a pull request so we can discuss the details of
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https://issues.apache.org/jira/browse/SPARK-1?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16051013#comment-16051013
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Reynold Xin commented on SPARK-1:
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But this ticket has nothing to do with SQL?
> DataFrame
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https://issues.apache.org/jira/browse/SPARK-1?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16050730#comment-16050730
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Reynold Xin commented on SPARK-1:
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What's left in this ticket? Didn't we fix it already? If it is
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https://issues.apache.org/jira/browse/SPARK-21092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-21092.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Wire SQLConf in logical plan and expressions
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Reynold Xin created SPARK-21103:
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Summary: QueryPlanConstraints should be part of LogicalPlan
Key: SPARK-21103
URL: https://issues.apache.org/jira/browse/SPARK-21103
Project: Spark
Issue Type:
Reynold Xin created SPARK-21102:
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Summary: Refresh command is too aggressive in parsing
Key: SPARK-21102
URL: https://issues.apache.org/jira/browse/SPARK-21102
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-21102?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-21102:
Labels: starter (was: )
> Refresh command is too aggressive in parsing
>
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https://issues.apache.org/jira/browse/SPARK-21091?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-21091.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Move constraint code into QueryPlanConstraints
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Reynold Xin created SPARK-21092:
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Summary: Wire SQLConf in logical plan and expressions
Key: SPARK-21092
URL: https://issues.apache.org/jira/browse/SPARK-21092
Project: Spark
Issue Type: New
Reynold Xin created SPARK-21091:
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Summary: Move constraint code into QueryPlanConstraints
Key: SPARK-21091
URL: https://issues.apache.org/jira/browse/SPARK-21091
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-21059?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-21059:
Summary: LikeSimplification can NPE on null pattern (was:
LikeSimplification an NPE on null
Reynold Xin created SPARK-21059:
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Summary: LikeSimplification an NPE on null pattern
Key: SPARK-21059
URL: https://issues.apache.org/jira/browse/SPARK-21059
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-21043?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-21043:
Description:
It would be useful to add unionByName which resolves columns by name, in
addition to
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