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zhengruifeng commented on SPARK-17479:
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+1 I test this example in Scala,Java,Py2 and Py3. And all
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Apache Spark reassigned SPARK-17449:
Assignee: Apache Spark
> Relation between heartbeatInterval and network timeout
>
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Apache Spark reassigned SPARK-17449:
Assignee: (was: Apache Spark)
> Relation between heartbeatInterval and network
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Apache Spark commented on SPARK-17449:
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User 'jagadeesanas2' has created a pull request for this
Shuai Lin created SPARK-17489:
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Summary: Improve filtering for bucketed tables
Key: SPARK-17489
URL: https://issues.apache.org/jira/browse/SPARK-17489
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-17488:
Assignee: (was: Apache Spark)
> TakeAndOrder will OOM when the data is very large
>
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Apache Spark commented on SPARK-17488:
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User 'cenyuhai' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17488:
Assignee: Apache Spark
> TakeAndOrder will OOM when the data is very large
>
cen yuhai created SPARK-17488:
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Summary: TakeAndOrder will OOM when the data is very large
Key: SPARK-17488
URL: https://issues.apache.org/jira/browse/SPARK-17488
Project: Spark
Issue Type: Bug
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Matei Zaharia commented on SPARK-17445:
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The powered by wiki page is a bit of a mess IMO, so I'd
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cen yuhai commented on SPARK-17450:
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can you provide me davies's pr?
> spark sql rownumber OOM
>
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Tejas Patil edited comment on SPARK-17487 at 9/10/16 3:39 AM:
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I have a WIP
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Apache Spark reassigned SPARK-17487:
Assignee: (was: Apache Spark)
> Configurable bucketing info extraction
>
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Tejas Patil commented on SPARK-17487:
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I have a WIP for this. I am looking for early feedback wrt
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Apache Spark reassigned SPARK-17487:
Assignee: Apache Spark
> Configurable bucketing info extraction
>
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Apache Spark commented on SPARK-17487:
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User 'tejasapatil' has created a pull request for this
Tejas Patil created SPARK-17487:
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Summary: Configurable bucketing info extraction
Key: SPARK-17487
URL: https://issues.apache.org/jira/browse/SPARK-17487
Project: Spark
Issue Type: Bug
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Apache Spark commented on SPARK-17447:
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User 'codlife' has created a pull request for this issue:
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Wenchen Fan updated SPARK-15453:
Assignee: Tejas Patil
> Improve join planning for bucketed / sorted tables
>
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Wenchen Fan resolved SPARK-15453.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14864
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zhangzhiyan commented on SPARK-17468:
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some of my worker died because of memory exceed hardware
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Frank Dai commented on SPARK-17400:
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[~mlnick] After reading the doc of MaxAbsScaler, I think
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Frank Dai closed SPARK-17400.
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Resolution: Not A Problem
> MinMaxScaler.transform() outputs DenseVector by default, which causes poor
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Apache Spark reassigned SPARK-17486:
Assignee: Josh Rosen (was: Apache Spark)
> Remove unused
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Apache Spark commented on SPARK-17486:
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User 'JoshRosen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17486:
Assignee: Apache Spark (was: Josh Rosen)
> Remove unused
Josh Rosen created SPARK-17486:
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Summary: Remove unused TaskMetricsUIData.updatedBlockStatuses field
Key: SPARK-17486
URL: https://issues.apache.org/jira/browse/SPARK-17486
Project: Spark
Issue
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Xin Ren commented on SPARK-17476:
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Hi I can try to work on this one, thanks :)
> Proper handling for
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Dean Wampler edited comment on SPARK-16239 at 9/9/16 10:20 PM:
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I
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Dean Wampler commented on SPARK-16239:
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I invested this a bit today for a customer. I could not
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Jakob Odersky commented on SPARK-14221:
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I just saw that chill already [has a pending PR to upgrade
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Bryan Cutler commented on SPARK-16834:
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[~mmoroz], your sample doesn't quite do the same thing as
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Apache Spark reassigned SPARK-17485:
Assignee: Apache Spark (was: Josh Rosen)
> Failed remote cached block reads can lead to
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Apache Spark reassigned SPARK-17485:
Assignee: Josh Rosen (was: Apache Spark)
> Failed remote cached block reads can lead to
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Apache Spark commented on SPARK-17485:
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User 'JoshRosen' has created a pull request for this issue:
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Sean Owen resolved SPARK-17469.
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Resolution: Duplicate
> mapWithState causes block lock warning
>
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Miao Wang commented on SPARK-17469:
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Can you give command for reproduction?
> mapWithState causes
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Srinath commented on SPARK-16026:
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Thanks for the response:
1. You’re correct that the search space will
Josh Rosen created SPARK-17485:
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Summary: Failed remote cached block reads can lead to whole job
failure
Key: SPARK-17485
URL: https://issues.apache.org/jira/browse/SPARK-17485
Project: Spark
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Josh Rosen updated SPARK-17485:
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Priority: Critical (was: Major)
> Failed remote cached block reads can lead to whole job failure
>
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Davies Liu resolved SPARK-17354.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
Josh Rosen created SPARK-17484:
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Summary: Race condition when cancelling a job during a cache write
can lead to block fetch failures
Key: SPARK-17484
URL: https://issues.apache.org/jira/browse/SPARK-17484
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Gang Wu updated SPARK-17477:
Shepherd: (was: Gang Wu)
> SparkSQL cannot handle schema evolution from Int -> Long when parquet files
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Apache Spark reassigned SPARK-17483:
Assignee: Apache Spark (was: Josh Rosen)
> Minor refactoring and cleanup in BlockManager
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Apache Spark commented on SPARK-17483:
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User 'JoshRosen' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17483:
Assignee: Josh Rosen (was: Apache Spark)
> Minor refactoring and cleanup in BlockManager
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Apache Spark reassigned SPARK-17477:
Assignee: Apache Spark
> SparkSQL cannot handle schema evolution from Int -> Long when
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Apache Spark commented on SPARK-17477:
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User 'wgtmac' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17477:
Assignee: (was: Apache Spark)
> SparkSQL cannot handle schema evolution from Int ->
Josh Rosen created SPARK-17483:
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Summary: Minor refactoring and cleanup in BlockManager block
status reporting and block removal
Key: SPARK-17483
URL: https://issues.apache.org/jira/browse/SPARK-17483
Davies Liu created SPARK-17482:
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Summary: Analyzer should be able run on top of optimized rule
Key: SPARK-17482
URL: https://issues.apache.org/jira/browse/SPARK-17482
Project: Spark
Issue Type:
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Apache Spark commented on SPARK-16240:
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User 'jkbradley' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-5992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15478135#comment-15478135
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Yun Ni commented on SPARK-5992:
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Thank you very much for reviewing it, Joseph!
I will work on the first
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Joseph K. Bradley commented on SPARK-15573:
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I'd prefer to put this in unit tests to avoid more
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Joseph K. Bradley commented on SPARK-5992:
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The design doc LGTM! Thanks for updating it. Shall
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Robert Kruszewski commented on SPARK-17478:
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Thanks for the pointers and apologies that I
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Apache Spark commented on SPARK-17478:
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User 'robert3005' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17479?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15478058#comment-15478058
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Nick Pentreath commented on SPARK-17479:
I just ran Scala, Java and Python examples of {{ml}} for
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Nick Pentreath commented on SPARK-17479:
I do see the data file:
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Ergin Seyfe commented on SPARK-17480:
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Yes [~srowen], that was exactly same as my PR:
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Apache Spark reassigned SPARK-17480:
Assignee: (was: Apache Spark)
> CompressibleColumnBuilder inefficiently call
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Apache Spark reassigned SPARK-17480:
Assignee: Apache Spark
> CompressibleColumnBuilder inefficiently call
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Marcelo Vanzin resolved SPARK-17478.
Resolution: Duplicate
There are reasons why this will never be done.
> Create
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Apache Spark commented on SPARK-17480:
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User 'seyfe' has created a pull request for this issue:
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Sean Owen commented on SPARK-17480:
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Yeah, I wonder if the "unrolled" while loop here is really the
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Yin Huai updated SPARK-17481:
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Attachment: log-17481.txt
> Flaky test: org.apache.spark.DistributedSuite.passing environment variables
Yin Huai created SPARK-17481:
Summary: Flaky test: org.apache.spark.DistributedSuite.passing
environment variables to cluster
Key: SPARK-17481
URL: https://issues.apache.org/jira/browse/SPARK-17481
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Sean Owen updated SPARK-17478:
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Issue Type: Improvement (was: Bug)
When this has come up previously, I think the problem has been
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Ergin Seyfe updated SPARK-17480:
Description:
When we profile one of our Spark jobs we saw that:
6.24% of the CPU is spend on
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Ergin Seyfe updated SPARK-17480:
Description:
When we profile one of our Spark jobs we saw that:
6.24% of the CPU is spend on
Ergin Seyfe created SPARK-17480:
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Summary: CompressibleColumnBuilder inefficiently call
gatherCompressibilityStats
Key: SPARK-17480
URL: https://issues.apache.org/jira/browse/SPARK-17480
Project:
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Joseph K. Bradley commented on SPARK-17479:
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CC [~podongfeng] [~mlnick] from the previous PR on
Joseph K. Bradley created SPARK-17479:
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Summary: Fix LDA example in docs
Key: SPARK-17479
URL: https://issues.apache.org/jira/browse/SPARK-17479
Project: Spark
Issue Type: Documentation
Robert Kruszewski created SPARK-17478:
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Summary: Create spark.eventLog.dir if it does not exist
Key: SPARK-17478
URL: https://issues.apache.org/jira/browse/SPARK-17478
Project: Spark
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Davies Liu updated SPARK-17474:
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Summary: Python UDF does not work between Sort and Limit (was: expressions
of QueryPlan does not
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Davies Liu updated SPARK-17474:
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Affects Version/s: (was: 1.6.2)
(was: 1.5.2)
> expressions of
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Apache Spark reassigned SPARK-17474:
Assignee: Davies Liu (was: Apache Spark)
> expressions of QueryPlan does not include
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Apache Spark commented on SPARK-17474:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17474:
Assignee: Apache Spark (was: Davies Liu)
> expressions of QueryPlan does not include
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DB Tsai updated SPARK-17476:
Issue Type: Sub-task (was: New Feature)
Parent: SPARK-17133
> Proper handling for unseen labels
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Gang Wu commented on SPARK-17477:
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I'm working on a fix for this issue. Will send pull request soon.
>
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Gang Wu updated SPARK-17477:
Shepherd: Gang Wu
> SparkSQL cannot handle schema evolution from Int -> Long when parquet files
> have
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Sunil Kotagiri commented on SPARK-4563:
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+1 I also disagree that it is Minor bug. We spark driver,
Gang Wu created SPARK-17477:
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Summary: SparkSQL cannot handle schema evolution from Int -> Long
when parquet files have Int as its type while hive metastore has Long as its
type
Key: SPARK-17477
URL:
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Thomas Graves resolved SPARK-17433.
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Resolution: Fixed
Assignee: Thomas Graves
Fix Version/s: 2.1.0
>
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Josh Rosen commented on SPARK-14221:
Assuming that the license is the same, I don't see any reason
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Jakob Odersky edited comment on SPARK-14221 at 9/9/16 6:30 PM:
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Jakob Odersky commented on SPARK-14221:
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[~joshrosen]'s upstream PR requires Kryo 3.1, a version
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Frederick Reiss updated SPARK-17475:
Description:
When HDFSMetadataLog uses a log directory on a filesystem other than HDFS
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Sean Owen updated SPARK-17421:
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Priority: Trivial (was: Minor)
Issue Type: Improvement (was: Bug)
Summary: Document
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https://issues.apache.org/jira/browse/SPARK-17466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477873#comment-15477873
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Tim Chan commented on SPARK-17466:
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Thanks [~srowen]!
> Error message is not very clear
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Seth Hendrickson created SPARK-17476:
Summary: Proper handling for unseen labels in logistic regression
training.
Key: SPARK-17476
URL: https://issues.apache.org/jira/browse/SPARK-17476
Project:
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https://issues.apache.org/jira/browse/SPARK-17421?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477864#comment-15477864
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Frederick Reiss commented on SPARK-17421:
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Committer feedback on first PR was that the necessary
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https://issues.apache.org/jira/browse/SPARK-17466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477862#comment-15477862
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Sean Owen commented on SPARK-17466:
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That would depend on your query. That's also a bit of a different
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https://issues.apache.org/jira/browse/SPARK-17471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477848#comment-15477848
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DB Tsai commented on SPARK-17471:
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BTW, we need to determine which sparse matrix format will be used for
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https://issues.apache.org/jira/browse/SPARK-17466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477849#comment-15477849
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Tim Chan commented on SPARK-17466:
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I suppose, I don't understand why I'm limited to 1 preceding.
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Seth Hendrickson commented on SPARK-17471:
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[~yanboliang] I guess it can be seen as a duplicate,
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https://issues.apache.org/jira/browse/SPARK-17456?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-17456:
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Fix Version/s: 2.0.1
> Utility for parsing Spark versions
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https://issues.apache.org/jira/browse/SPARK-16240?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-16240:
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Target Version/s: 2.0.1, 2.1.0
> model loading backward compatibility for
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https://issues.apache.org/jira/browse/SPARK-17456?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15477701#comment-15477701
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Joseph K. Bradley commented on SPARK-17456:
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Backporting to 2.0 branch so that we can put the
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