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Ian Hellstrom commented on SPARK-17681:
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I understand where the logic comes from, e
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Ian Hellstrom edited comment on SPARK-17681 at 9/28/16 6:55 AM:
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Wenchen Fan commented on SPARK-17154:
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I took a look at the new proposal. I think it
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Arcflash commented on SPARK-16292:
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If you use this command like
./make-distribution.sh
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Frederick Reiss commented on SPARK-17631:
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I can think of two use cases where one
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Apache Spark reassigned SPARK-17702:
Assignee: (was: Apache Spark)
> Code generation including too many mutable states exce
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Apache Spark commented on SPARK-17702:
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User 'ueshin' has created a pull request for
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Apache Spark reassigned SPARK-17702:
Assignee: Apache Spark
> Code generation including too many mutable states exceeds JVM siz
Takuya Ueshin created SPARK-17702:
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Summary: Code generation including too many mutable states exceeds
JVM size limit.
Key: SPARK-17702
URL: https://issues.apache.org/jira/browse/SPARK-17702
Project:
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Hyukjin Kwon commented on SPARK-17694:
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FWIW, this reminds me of SPARK-15918
> conv
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zhangxinyu updated SPARK-17631:
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Description:
Streaming query results can be sinked to http server through http post request
was:
Eric Liang created SPARK-17701:
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Summary: Refactor DataSourceScanExec so its sameResult call does
not compare strings
Key: SPARK-17701
URL: https://issues.apache.org/jira/browse/SPARK-17701
Project: Spar
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Eric Liang updated SPARK-17701:
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Component/s: SQL
> Refactor DataSourceScanExec so its sameResult call does not compare strings
>
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zhangxinyu commented on SPARK-17631:
The pr is still open.
I want to discuss it with
Alpha created SPARK-17700:
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Summary: org.apache.hadoop.hive.ql.metadata.HiveException: Failed
to create spark client
Key: SPARK-17700
URL: https://issues.apache.org/jira/browse/SPARK-17700
Project: Spark
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Apache Spark reassigned SPARK-17699:
Assignee: Apache Spark (was: Michael Armbrust)
> from_json function for parsing json Stri
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Apache Spark reassigned SPARK-17699:
Assignee: Michael Armbrust (was: Apache Spark)
> from_json function for parsing json Stri
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Apache Spark commented on SPARK-17699:
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User 'marmbrus' has created a pull request f
Michael Armbrust created SPARK-17699:
Summary: from_json function for parsing json Strings into Structs
Key: SPARK-17699
URL: https://issues.apache.org/jira/browse/SPARK-17699
Project: Spark
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Eric Liang commented on SPARK-17673:
Russell, could you try applying this patch (wip)
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Apache Spark reassigned SPARK-17673:
Assignee: Apache Spark
> Reused Exchange Aggregations Produce Incorrect Results
>
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Apache Spark commented on SPARK-17673:
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User 'ericl' has created a pull request for
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Apache Spark reassigned SPARK-17673:
Assignee: (was: Apache Spark)
> Reused Exchange Aggregations Produce Incorrect Results
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Apache Spark reassigned SPARK-17698:
Assignee: Apache Spark
> Join predicates should not contain filter clauses
> -
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Apache Spark commented on SPARK-17698:
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User 'tejasapatil' has created a pull reques
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Apache Spark reassigned SPARK-17698:
Assignee: (was: Apache Spark)
> Join predicates should not contain filter clauses
> --
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Dongjoon Hyun commented on SPARK-17549:
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Thank you, [~vanzin]!
> InMemoryRelation
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Apache Spark commented on SPARK-17666:
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User 'JoshRosen' has created a pull request
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Marcelo Vanzin commented on SPARK-17549:
Done. Forgot to update the bug after the
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Marcelo Vanzin updated SPARK-17549:
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Fix Version/s: (was: 2.0.1)
> InMemoryRelation doesn't scale to large tables
> --
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Marcelo Vanzin updated SPARK-17549:
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Fix Version/s: (was: 2.1.0)
> InMemoryRelation doesn't scale to large tables
> --
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Dongjoon Hyun commented on SPARK-17549:
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Hi, All.
Could we add this into RC4 or rem
Tejas Patil created SPARK-17698:
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Summary: Join predicates should not contain filter clauses
Key: SPARK-17698
URL: https://issues.apache.org/jira/browse/SPARK-17698
Project: Spark
Issue Type: B
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Reynold Xin resolved SPARK-17666.
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Resolution: Fixed
Fix Version/s: 2.1.0
> take() or isEmpty() on dataset leaks s3a connecti
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Reynold Xin commented on SPARK-17666:
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This still needs to be backported to branch-2.
Joseph K. Bradley created SPARK-17697:
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Summary: BinaryLogisticRegressionSummary should handle non-Double
numeric types
Key: SPARK-17697
URL: https://issues.apache.org/jira/browse/SPARK-17697
Proj
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Hyukjin Kwon commented on SPARK-17695:
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Related with SPARK-8093. It seems empty stru
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Chenliang Xu edited comment on SPARK-17694 at 9/28/16 12:20 AM:
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Chenliang Xu commented on SPARK-17694:
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It returns a DataSet, for example {noformat}
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Josh Rosen resolved SPARK-17056.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.2
Issue resolved by pull reque
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Sean Owen commented on SPARK-14301:
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It's an example; this is OK.
> Java examples code
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Apache Spark reassigned SPARK-17696:
Assignee: Apache Spark
> Race in CoarseGrainedExecutorBackend shutdown can lead to wrong e
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Apache Spark reassigned SPARK-17696:
Assignee: (was: Apache Spark)
> Race in CoarseGrainedExecutorBackend shutdown can lead
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Apache Spark commented on SPARK-12330:
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User 'vanzin' has created a pull request for
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Apache Spark commented on SPARK-17696:
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User 'vanzin' has created a pull request for
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Josh Rosen updated SPARK-17056:
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Assignee: Liang-Chi Hsieh
> Fix a wrong assert in MemoryStore
> -
>
>
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Josh Rosen updated SPARK-17056:
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Component/s: (was: Spark Core)
Block Manager
> Fix a wrong assert in MemoryStore
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Sean Owen resolved SPARK-17631.
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Resolution: Invalid
Not sure what's going on with this, because it sounds like a question for
user@,
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Sean Owen resolved SPARK-17687.
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Resolution: Invalid
This sounds like a question for user@
> Structured Streaming - Does anyone need
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Sean Owen commented on SPARK-17694:
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Here what do you mean that it succeeds? it's a laz
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Marcelo Vanzin commented on SPARK-17696:
This is actually fixed in 2.0 by SPARK-1
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Marcelo Vanzin updated SPARK-17696:
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Affects Version/s: (was: 2.0.0)
> Race in CoarseGrainedExecutorBackend shutdown can lead
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Marcelo Vanzin updated SPARK-17696:
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Description:
There's a race in the shutdown path of CoarseGrainedExecutorBackend that may
le
Marcelo Vanzin created SPARK-17696:
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Summary: Race in CoarseGrainedExecutorBackend shutdown can lead to
wrong exit status
Key: SPARK-17696
URL: https://issues.apache.org/jira/browse/SPARK-17696
Proje
Jonathan Simozar created SPARK-17695:
Summary: Deserialization error when using DataFrameReader.json on
JSON line that contains an empty JSON object
Key: SPARK-17695
URL: https://issues.apache.org/jira/browse/
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Suman Somasundar commented on SPARK-14301:
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This merge removed the generic JavaK
Chenliang Xu created SPARK-17694:
Summary: convert DataFrame to DataSet should check columns match
Key: SPARK-17694
URL: https://issues.apache.org/jira/browse/SPARK-17694
Project: Spark
Issue
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Josh Rosen updated SPARK-17618:
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Fix Version/s: 2.1.0
2.0.2
> Dataframe except returns incorrect results when combi
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Reynold Xin commented on SPARK-17673:
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I'm upgrading this to a blocker level issue.
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Eric Liang commented on SPARK-17673:
I'm looking at this now.
> Reused Exchange Aggr
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Reynold Xin updated SPARK-17673:
Priority: Blocker (was: Critical)
> Reused Exchange Aggregations Produce Incorrect Results
> -
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Eren Avsarogullari updated SPARK-17663:
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Affects Version/s: (was: 2.0.1)
2.1.0
> SchedulableBuilder
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Herman van Hovell resolved SPARK-17677.
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Resolution: Fixed
Fix Version/s: 2.1.0
Resolved per Reynold's PR.
> Break Win
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Apache Spark reassigned SPARK-17598:
Assignee: (was: Apache Spark)
> User-friendly name for Spark Thrift Server in web UI
>
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Apache Spark commented on SPARK-17598:
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User 'ajbozarth' has created a pull request
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Apache Spark reassigned SPARK-17598:
Assignee: Apache Spark
> User-friendly name for Spark Thrift Server in web UI
> --
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Apache Spark commented on SPARK-17667:
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User 'ashwinshankar77' has created a pull re
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Nattavut Sutyanyong updated SPARK-17154:
Attachment: Name-conflicts-2.pdf
@nsyca's alternative proposal to the solution
> W
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Apache Spark reassigned SPARK-17667:
Assignee: Apache Spark
> Make locking fine grained in YarnAllocator#enqueueGetLossReasonRe
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Apache Spark reassigned SPARK-17667:
Assignee: (was: Apache Spark)
> Make locking fine grained in YarnAllocator#enqueueGetL
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Alex Bozarth commented on SPARK-17598:
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I have a quick easy fix for this, but you ca
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Apache Spark reassigned SPARK-17693:
Assignee: Apache Spark
> Fixed Insert Failure To Data Source Tables when the Schema has th
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Apache Spark reassigned SPARK-17693:
Assignee: (was: Apache Spark)
> Fixed Insert Failure To Data Source Tables when the Sc
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Apache Spark commented on SPARK-17693:
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User 'gatorsmile' has created a pull request
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Xiao Li updated SPARK-17693:
Summary: Fixed Insert Failure To Data Source Tables when the Schema has the
Comment Field (was: Fixed Inse
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Apache Spark commented on SPARK-17618:
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User 'JoshRosen' has created a pull request
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Xiao Li updated SPARK-17693:
Description:
{noformat}
CREATE TABLE tab1(col1 int COMMENT 'a', col2 int) USING parquet
INSERT INTO TABLE t
Xiao Li created SPARK-17693:
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Summary: Fixed Insert Failure when Table Schema has the Comment
Field
Key: SPARK-17693
URL: https://issues.apache.org/jira/browse/SPARK-17693
Project: Spark
Issue Typ
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Apache Spark commented on SPARK-17477:
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User 'wgtmac' has created a pull request for
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Herman van Hovell resolved SPARK-17618.
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Resolution: Fixed
Fix Version/s: 1.6.3
Resolved per Josh's PR.
Follow-up for
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Herman van Hovell resolved SPARK-17660.
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Resolution: Fixed
Assignee: Xiao Li
Fix Version/s: 2.1.0
> DESC FORMA
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Josh Rosen commented on SPARK-17681:
I don't think that the current behavior is wrong
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Bryan Cutler updated SPARK-17161:
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Description:
Often in Spark ML, there are classes that use a Scala Array in a constructor.
In o
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Herman van Hovell resolved SPARK-17682.
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Resolution: Fixed
Fix Version/s: 2.1.0
Resolved per Reynold's PR.
> nit: Mark
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Joseph K. Bradley closed SPARK-15717.
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Resolution: Duplicate
> Cannot perform RDD operations on a checkpointed VertexRDD.
>
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Joseph K. Bradley commented on SPARK-15717:
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To confirm, this is a duplicate of
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Cheng Lian resolved SPARK-16516.
Resolution: Fixed
Issue resolved by pull request 14172
[https://github.com/apache/spark/pull/14172]
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Cheng Lian updated SPARK-16777:
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Fix Version/s: (was: 2.2.0)
2.1.0
> Parquet schema converter depends on deprec
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Cheng Lian updated SPARK-16516:
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Fix Version/s: 2.1.0
> Support for pushing down filters for decimal and timestamp types in ORC
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Cheng Lian updated SPARK-16516:
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Assignee: Hyukjin Kwon
> Support for pushing down filters for decimal and timestamp types in ORC
> --
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Cheng Lian updated SPARK-16777:
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Fix Version/s: 2.1.0
2.0.2
> Parquet schema converter depends on deprecated APIs
>
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Cheng Lian resolved SPARK-16777.
Resolution: Fixed
Fix Version/s: (was: 2.0.2)
(was: 2.1.0)
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Cheng Lian updated SPARK-16777:
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Assignee: Hyukjin Kwon
> Parquet schema converter depends on deprecated APIs
> --
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https://issues.apache.org/jira/browse/SPARK-17692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-17692:
Labels: 2.1.0 (was: )
> Document ML/MLlib behavior changes in Spark 2.1
>
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Yanbo Liang commented on SPARK-17692:
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cc [~mengxr] [~josephkb] [~dbtsai] [~mlnick] [
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Yanbo Liang updated SPARK-17692:
Description:
This JIRA records behavior changes of ML/MLlib between 2.0 and 2.1, so we can
note th
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https://issues.apache.org/jira/browse/SPARK-17692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-17692:
Description:
This JIRA records behavior changes of ML/MLlib between 2.0 and 2.1, so we can
note th
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https://issues.apache.org/jira/browse/SPARK-17692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-17692:
Description:
This JIRA records behavior changes of ML/MLlib between 2.0 and 2.1, so we can
note th
Yanbo Liang created SPARK-17692:
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Summary: Document ML/MLlib behavior changes in Spark 2.1
Key: SPARK-17692
URL: https://issues.apache.org/jira/browse/SPARK-17692
Project: Spark
Issue Type: Doc
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Yanbo Liang updated SPARK-17692:
Description: This JIRA keeps a list of MLlib behavior changes in Spark 2.1.
So we can remember to a
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