Nishkam Ravi created SPARK-4484:
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Summary: Treat maxResultSize as unlimited when set to 0; improve
error message
Key: SPARK-4484
URL: https://issues.apache.org/jira/browse/SPARK-4484
Project: Spark
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Nishkam Ravi commented on SPARK-4484:
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PR: https://github.com/apache/spark/pull/3360/
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Apache Spark commented on SPARK-4484:
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User 'nishkamravi2' has created a pull request
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Sean Owen commented on SPARK-4484:
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This is causing a number of benchmarks to fail, no?
XiaoJing wang created SPARK-4485:
Summary: Add broadcast outer join to optimize left outer join and
right outer join
Key: SPARK-4485
URL: https://issues.apache.org/jira/browse/SPARK-4485
Project:
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Sean Owen commented on SPARK-948:
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I'll close as WontFix unless someone agrees with the
Xiangrui Meng created SPARK-4486:
Summary: Improve GradientBoosting APIs and doc
Key: SPARK-4486
URL: https://issues.apache.org/jira/browse/SPARK-4486
Project: Spark
Issue Type: Improvement
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Xiangrui Meng updated SPARK-4355:
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Fix Version/s: 1.2.0
OnlineSummarizer doesn't merge mean correctly
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Nishkam Ravi commented on SPARK-4484:
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Yeah, most workloads break with a large enough
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Sean Owen updated SPARK-4484:
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Priority: Critical (was: Major)
I'll be so bold as to raise the priority as I see this actually stopped
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Nishkam Ravi updated SPARK-4484:
Summary: [CORE] Treat maxResultSize as unlimited when set to 0; improve
error message (was: Treat
Kousuke Saruta created SPARK-4487:
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Summary: Fix attribute reference resolution error when using ORDER
BY.
Key: SPARK-4487
URL: https://issues.apache.org/jira/browse/SPARK-4487
Project: Spark
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Apache Spark commented on SPARK-4485:
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User 'wangxiaojing' has created a pull request
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Apache Spark commented on SPARK-4487:
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User 'sarutak' has created a pull request for
uncleGen created SPARK-4488:
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Summary: Add control over map-side aggregation
Key: SPARK-4488
URL: https://issues.apache.org/jira/browse/SPARK-4488
Project: Spark
Issue Type: Improvement
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Apache Spark commented on SPARK-4488:
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User 'uncleGen' has created a pull request for
Christopher Ng created SPARK-4489:
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Summary: JavaPairRDD.collectAsMap from checkpoint RDD may fail
with ClassCastException
Key: SPARK-4489
URL: https://issues.apache.org/jira/browse/SPARK-4489
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Christopher Ng commented on SPARK-4489:
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I should add there's a rather nasty looking
Kai Sasaki created SPARK-4490:
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Summary: Not found RandomGenerator through spark-shell
Key: SPARK-4490
URL: https://issues.apache.org/jira/browse/SPARK-4490
Project: Spark
Issue Type: Bug
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Kai Sasaki updated SPARK-4490:
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Priority: Major (was: Critical)
Not found RandomGenerator through spark-shell
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Kai Sasaki updated SPARK-4490:
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Description:
In spark-1.1.0, exception is threw whenever RandomGenerator of commons-math3 is
used.
sam created SPARK-4491:
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Summary: Using sbt assembly with spark as dep requires Phd in sbt
Key: SPARK-4491
URL: https://issues.apache.org/jira/browse/SPARK-4491
Project: Spark
Issue Type: Question
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uncleGen updated SPARK-3373:
Target Version/s: 1.1.1, 1.2.0 (was: 1.1.0, 1.0.3)
Filtering operations should optionally rebuild routing
sam created SPARK-4492:
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Summary: Exception when following SimpleApp tutorial
java.lang.ClassNotFoundException:
org.apache.spark.deploy.yarn.YarnSparkHadoopUtil
Key: SPARK-4492
URL:
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sam updated SPARK-4492:
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Description:
When I follow the example here
https://spark.apache.org/docs/1.0.2/quick-start.html and run with java
Cheng Lian created SPARK-4493:
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Summary: Don't pushdown Eq, NotEq, Lt, LtEq, Gt and GtEq
predicates with nulls for Parquet
Key: SPARK-4493
URL: https://issues.apache.org/jira/browse/SPARK-4493
Project:
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Jean-Philippe Quemener updated SPARK-4494:
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Summary: IDFModel.transform() add support for single vector (was:
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Jean-Philippe Quemener updated SPARK-4494:
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Description:
For now when using the tfidf implementation of mllib you have no
Jean-Philippe Quemener created SPARK-4494:
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Summary: IDFModel.transform() add support for single vectors
Key: SPARK-4494
URL: https://issues.apache.org/jira/browse/SPARK-4494
Project: Spark
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Jean-Philippe Quemener updated SPARK-4494:
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Description:
For now when using the tfidf implementation of mllib you have no
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Jean-Philippe Quemener updated SPARK-4494:
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Description:
For now when using the tfidf implementation of mllib you have no
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Mark Hamstra closed SPARK-4473.
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Resolution: Duplicate
[Core] StageInfo should have ActiveJob's group ID as a field
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Mark Hamstra commented on SPARK-4473:
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This is already covered by
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Cheng Lian updated SPARK-4493:
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Description:
Predicates like {{a = NULL}} and {{a NULL}} can't be pushed down since
Parquet {{Lt}},
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Cheng Lian updated SPARK-4493:
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Description:
Predicates like {{a = NULL}} and {{a NULL}} can't be pushed down since
Parquet {{Lt}},
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Aniket Bhatnagar commented on SPARK-2321:
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Just a quick question, will the API be
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Apache Spark commented on SPARK-4493:
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User 'liancheng' has created a pull request for
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Josh Rosen updated SPARK-4495:
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Summary: Memory leak in JobProgressListener due to `spark.ui.retainedJobs`
not being used (was: Memory
Josh Rosen created SPARK-4495:
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Summary: Memory leak in JobProgressListener due to
`spark.ui.retainedJobs` not being used properly
Key: SPARK-4495
URL: https://issues.apache.org/jira/browse/SPARK-4495
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Apache Spark commented on SPARK-4478:
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User 'coolfrood' has created a pull request for
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Andrew Or closed SPARK-4467.
Resolution: Fixed
Fix Version/s: 1.2.0
Number of elements read is never reset in ExternalSorter
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sam commented on SPARK-3928:
CSV doesn't work for me. I'm using spark-submit and it appears to
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Tianshuo Deng commented on SPARK-4452:
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Hi,
While I'm working on this ticket, I have
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Jean-Philippe Quemener updated SPARK-4494:
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Shepherd: Xiangrui Meng
IDFModel.transform() add support for single vector
Chip Sands created SPARK-4496:
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Summary: smallint (16 bit value) is being send as a 32 bit
value in the thrift interface.
Key: SPARK-4496
URL: https://issues.apache.org/jira/browse/SPARK-4496
Project:
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Michael Armbrust resolved SPARK-4296.
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Resolution: Duplicate
I think this was fixed by the linked issue. Please reopen if I am
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Michael Armbrust resolved SPARK-4410.
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Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
Support
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Andrew Or commented on SPARK-4452:
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[~tianshuo] That is a correct assumption for
Yana Kadiyska created SPARK-4497:
Summary: HiveThriftServer2 does not exit properly on failure
Key: SPARK-4497
URL: https://issues.apache.org/jira/browse/SPARK-4497
Project: Spark
Issue
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Apache Spark commented on SPARK-4480:
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User 'andrewor14' has created a pull request
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Andrew Or updated SPARK-4470:
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Assignee: Kenichi Maehashi
SparkContext accepts local[0] as a master URL
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Andrew Or closed SPARK-4470.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
SparkContext accepts
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Harry Brundage updated SPARK-4498:
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Attachment: one-applications-master-logs.txt
These are the logs from the standalone master for
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Harry Brundage updated SPARK-4498:
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Description:
We observe the spark standalone master not detecting that a driver application
Harry Brundage created SPARK-4498:
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Summary: Standalone Master can fail to recognize completed/failed
applications
Key: SPARK-4498
URL: https://issues.apache.org/jira/browse/SPARK-4498
Project: Spark
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Harry Brundage updated SPARK-4498:
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Attachment: all-master-logs-around-blip.txt
These are all the master logs around a recent blip
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Andrew Or updated SPARK-4471:
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Assignee: SuYan
blockManagerIdFromJson function throws exception while BlockManagerId be
null in
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Harry Brundage commented on SPARK-4498:
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For the simple canary spark application
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Patrick Wendell commented on SPARK-2321:
Currently this a programmatic API for
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Tathagata Das resolved SPARK-4482.
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Resolution: Fixed
Fix Version/s: 1.2.0
ReceivedBlockTracker's write ahead log is
George Kyriacou created SPARK-4499:
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Summary: Problems building and running 1.2 with Hive support
Key: SPARK-4499
URL: https://issues.apache.org/jira/browse/SPARK-4499
Project: Spark
Issue
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Tathagata Das updated SPARK-4481:
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Fix Version/s: 1.3.0
Some comments for `updateStateByKey` are wrong
Joseph K. Bradley created SPARK-4500:
Summary: Improve exact stratified sampling implementation
Key: SPARK-4500
URL: https://issues.apache.org/jira/browse/SPARK-4500
Project: Spark
Issue
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Joseph K. Bradley updated SPARK-4500:
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Description:
The current implementation for exact stratified sampling (sampleByKeyExact)
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Joseph K. Bradley updated SPARK-4500:
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Description:
The current implementation for exact stratified sampling (sampleByKeyExact)
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shane knapp commented on SPARK-1358:
ok, so i can dedicate 4 servers to this by EOY.
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Patrick Wendell resolved SPARK-3962.
Resolution: Fixed
Fix Version/s: 1.2.0
Mark spark dependency as provided in
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Andrew Or updated SPARK-4480:
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Fix Version/s: 1.1.1
Avoid many small spills in external data structures
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Patrick Wendell resolved SPARK-4429.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Takuya Ueshin
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Apache Spark commented on SPARK-4495:
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User 'JoshRosen' has created a pull request for
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Apache Spark commented on SPARK-4478:
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User 'coolfrood' has created a pull request for
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Michael Armbrust updated SPARK-4497:
Priority: Critical (was: Major)
Target Version/s: 1.3.0
HiveThriftServer2
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Debasish Das edited comment on SPARK-3066 at 11/19/14 10:59 PM:
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Debasish Das commented on SPARK-3066:
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@mengxr as per our discussions, I added APIs
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Josh Rosen updated SPARK-4498:
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Component/s: Deploy
Standalone Master can fail to recognize completed/failed applications
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Patrick Wendell updated SPARK-4501:
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Assignee: Prashant Sharma
Create build/mvn to automatically download maven/zinc/scalac
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Josh Rosen commented on SPARK-4442:
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There's a few generally useful test utility
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Patrick Wendell updated SPARK-4376:
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Target Version/s: 1.3.0 (was: 1.2.0)
Put external modules behind build profiles
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Andrew Or updated SPARK-4355:
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Fix Version/s: (was: 1.1.2)
1.1.1
OnlineSummarizer doesn't merge mean correctly
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Andrew Or updated SPARK-4355:
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Target Version/s: 1.1.1, 1.2.0, 1.0.3 (was: 1.2.0, 1.0.3, 1.1.2)
OnlineSummarizer doesn't merge mean
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Patrick Wendell updated SPARK-2630:
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Fix Version/s: (was: 1.2.0)
Input data size of CoalescedRDD is incorrect
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Michael Armbrust updated SPARK-4479:
Assignee: Cheng Lian
Avoid unnecessary defensive copies when Sort based shuffle is on
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Michael Armbrust closed SPARK-4385.
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Resolution: Cannot Reproduce
DataSource DDL Parser can't handle table names with '_'
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Patrick Wendell updated SPARK-4384:
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Priority: Blocker (was: Critical)
Too many open files during sort in pyspark
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Josh Rosen updated SPARK-4384:
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Affects Version/s: (was: 1.1.0)
Too many open files during sort in pyspark
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Josh Rosen updated SPARK-4384:
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Assignee: Davies Liu
Too many open files during sort in pyspark
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Josh Rosen resolved SPARK-4384.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3252
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Tathagata Das resolved SPARK-4294.
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Resolution: Fixed
UnionDStream stream should express the requirements in the same way as
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Apache Spark commented on SPARK-4486:
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User 'mengxr' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-4495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen resolved SPARK-4495.
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Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3372
Liwen Sun created SPARK-4502:
Summary: Spark SQL unnecessarily reads the entire nested column
from Parquet
Key: SPARK-4502
URL: https://issues.apache.org/jira/browse/SPARK-4502
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-4502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liwen Sun updated SPARK-4502:
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Component/s: SQL
Spark SQL unnecessarily reads the entire nested column from Parquet
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https://issues.apache.org/jira/browse/SPARK-4502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liwen Sun updated SPARK-4502:
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Description:
When reading a field of a nested column from Parquet, SparkSQL reads and
assemble all the
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https://issues.apache.org/jira/browse/SPARK-4502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liwen Sun updated SPARK-4502:
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Summary: Spark SQL reads unneccesary fields from Parquet (was: Spark SQL
unnecessarily reads the entire
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https://issues.apache.org/jira/browse/SPARK-4502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liwen Sun updated SPARK-4502:
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Description:
When reading a field of a nested column from Parquet, SparkSQL reads and
assemble all the
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https://issues.apache.org/jira/browse/SPARK-4478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4478.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
totalRegisteredExecutors
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https://issues.apache.org/jira/browse/SPARK-4478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-4478:
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Assignee: Akshat Aranya
totalRegisteredExecutors not updated properly
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https://issues.apache.org/jira/browse/SPARK-4484?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-4484:
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Assignee: Nishkam Ravi
[CORE] Treat maxResultSize as unlimited when set to 0; improve error message
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https://issues.apache.org/jira/browse/SPARK-4484?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4484.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
[CORE] Treat maxResultSize
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https://issues.apache.org/jira/browse/SPARK-1405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14218845#comment-14218845
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Debasish Das commented on SPARK-1405:
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I would like to compare the LSA formulations
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