Davies Liu created SPARK-16003:
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Summary: SerializationDebugger run into infinite loop
Key: SPARK-16003
URL: https://issues.apache.org/jira/browse/SPARK-16003
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-15966:
Assignee: Apache Spark
> Fix markdown for Spark Monitoring
> -
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Apache Spark reassigned SPARK-15966:
Assignee: (was: Apache Spark)
> Fix markdown for Spark Monitoring
> --
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Apache Spark commented on SPARK-15966:
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User 'dhruve' has created a pull request for
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Apache Spark reassigned SPARK-16002:
Assignee: Apache Spark (was: Shixiong Zhu)
> Sleep when no new data arrives to avoid 100%
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Apache Spark reassigned SPARK-16002:
Assignee: Shixiong Zhu (was: Apache Spark)
> Sleep when no new data arrives to avoid 100%
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Apache Spark commented on SPARK-16002:
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User 'zsxwing' has created a pull request fo
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Dhruve Ashar updated SPARK-15966:
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Description:
The markdown for Spark monitoring needs to be fixed.
http://spark.apache.org/docs/2
Shixiong Zhu created SPARK-16002:
Summary: Sleep when no new data arrives to avoid 100% CPU usage
Key: SPARK-16002
URL: https://issues.apache.org/jira/browse/SPARK-16002
Project: Spark
Issue
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Yanbo Liang commented on SPARK-16000:
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We should only add for models which support sa
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Joseph K. Bradley commented on SPARK-15501:
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[~mlnick] Is this audit done, or a
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Sean Zhong commented on SPARK-15786:
[~yhuai] Sure, we definitely can improve it.
>
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Andrew Or resolved SPARK-15749.
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Resolution: Fixed
Assignee: Huaxin Gao
Fix Version/s: 2.0.0
Target Versio
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Yanbo Liang commented on SPARK-15643:
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Sure
> ML 2.0 QA: migration guide update
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Andrew Or resolved SPARK-15868.
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Resolution: Fixed
Assignee: Alex Bozarth
Fix Version/s: 2.0.0
Target Vers
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Xiangrui Meng updated SPARK-15947:
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Summary: Make pipeline components backward compatible with old vector
columns in Scala/Java (w
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Xiangrui Meng closed SPARK-15948.
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Resolution: Won't Fix
> Make pipeline components backward compatible with old vector columns in P
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Xiangrui Meng resolved SPARK-15947.
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Resolution: Won't Fix
> Make pipeline components backward compatible with old vector columns
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Xiangrui Meng commented on SPARK-15948:
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Marked this as "Won't Do". See SPARK-15947
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Xiangrui Meng updated SPARK-15643:
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Assignee: Yanbo Liang
> ML 2.0 QA: migration guide update
> -
>
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Xiangrui Meng commented on SPARK-15643:
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[~yanboliang] Please include a paragraph t
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Xiangrui Meng edited comment on SPARK-15947 at 6/16/16 9:30 PM:
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Xiangrui Meng commented on SPARK-15947:
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Had an offline discussion with [~josephkb]
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Saisai Shao updated SPARK-15343:
Attachment: (was: jersey-client-2.22.2.jar)
> NoClassDefFoundError when initializing Spark with
Thanh created SPARK-16001:
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Summary: request that spark history server write a log entry
whenever it (1) tries cleaning old event logs and (2) has found and deleted old
event logs
Key: SPARK-16001
URL: https://issues.apa
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Joseph K. Bradley commented on SPARK-15767:
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[~vectorijk] Notes from sync: Can
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Saisai Shao updated SPARK-15343:
Attachment: jersey-client-2.22.2.jar
> NoClassDefFoundError when initializing Spark with YARN
> ---
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Saisai Shao commented on SPARK-15343:
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The class ClientConfig is still existed but th
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Andrew Or resolved SPARK-15998.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Verification of SQLConf HIVE_METASTORE_PARTITION_PRUN
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Andrew Or updated SPARK-15998:
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Assignee: Xiao Li
> Verification of SQLConf HIVE_METASTORE_PARTITION_PRUNING
>
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Marcelo Vanzin commented on SPARK-15343:
Fair point. But I think the right thing
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Andrew Or resolved SPARK-15975.
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Resolution: Fixed
Fix Version/s: 2.0.0
1.6.2
1.5.3
> Imp
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Andrew Or resolved SPARK-15978.
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Resolution: Fixed
Assignee: Bo Meng (was: Apache Spark)
Fix Version/s: 2.0.0
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Saisai Shao edited comment on SPARK-15343 at 6/16/16 9:06 PM:
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Saisai Shao commented on SPARK-15343:
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[~vanzin] [~srowen], I don't think it is a ven
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Sean Owen resolved SPARK-15796.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13618
[https://github.co
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Sean Owen reassigned SPARK-15796:
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Assignee: Sean Owen
> Reduce spark.memory.fraction default to avoid overrunning old gen in JVM
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Xiangrui Meng updated SPARK-16000:
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Description: To help users migrate from Spark 1.6. to 2.0, we should make
model loading backwar
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Xiangrui Meng updated SPARK-15947:
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Description:
After SPARK-15945, we should make ALL pipeline components accept old vector
colum
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Sean Owen resolved SPARK-15922.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13643
[https://github.co
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Sean Owen updated SPARK-15922:
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Assignee: Dongjoon Hyun
> BlockMatrix to IndexedRowMatrix throws an error
> ---
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Xiangrui Meng updated SPARK-16000:
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Summary: Make model loading backward compatible with saved models using old
vector columns (wa
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Xiangrui Meng updated SPARK-15947:
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Description:
After SPARK-15945, we should make ALL pipeline components accept old vector
colum
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Xiangrui Meng updated SPARK-15947:
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Summary: Make pipeline components backward compatible with old vector
columns (was: Make pipel
Xiangrui Meng created SPARK-16000:
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Summary: Make model loading backward compatible with saved models
using old vector columns
Key: SPARK-16000
URL: https://issues.apache.org/jira/browse/SPARK-16000
P
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Xiangrui Meng updated SPARK-16000:
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Summary: Make model loading backward compatible with saved models using old
vector columns in S
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Sean Owen resolved SPARK-15731.
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Resolution: Cannot Reproduce
> orc writer directory permissions
>
>
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Sean Zhong commented on SPARK-14048:
[~simeons]
I can now reproduce this on Databr
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Herman van Hovell resolved SPARK-15977.
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Resolution: Resolved
> TRUNCATE TABLE does not work with Datasource tables outside of
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Sean Zhong commented on SPARK-14048:
[~simeons]
Can you share a complete notebook
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Joseph K. Bradley commented on SPARK-15069:
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h4. 6/16/2016 - Week 4
To-do item
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Shixiong Zhu resolved SPARK-15981.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Fix bug in python DataStreamReader
> --
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Sean Owen resolved SPARK-15999.
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Resolution: Not A Problem
You're referring to an old version -- normally we try to report JIRAs vs
m
Faisal created SPARK-15999:
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Summary: Wrong/Missing information for Spark UI/REST port
Key: SPARK-15999
URL: https://issues.apache.org/jira/browse/SPARK-15999
Project: Spark
Issue Type: Bug
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Sean Owen updated SPARK-12114:
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Assignee: Min Qiu
> ColumnPruning rule fails in case of "Project <- Filter <- Join"
> -
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Sean Owen updated SPARK-9689:
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Assignee: Cheng Hao
> Cache doesn't refresh for HadoopFsRelation based table
> ---
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Sean Owen resolved SPARK-11882.
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Resolution: Duplicate
Fix Version/s: (was: 2.0.0)
> Allow for running Spark applications a
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Sean Owen reopened SPARK-11882:
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Just resolving as duplicate then
> Allow for running Spark applications against a custom coarse grained
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Sean Owen reopened SPARK-12248:
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> Make Spark Coarse Mesos Scheduler obey limits on memory/cpu ratios
> --
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Sean Owen updated SPARK-15996:
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Assignee: Dongjoon Hyun
> Fix R examples by removing deprecated functions
> ---
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Sean Owen resolved SPARK-12248.
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Resolution: Not A Problem
> Make Spark Coarse Mesos Scheduler obey limits on memory/cpu ratios
>
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Sean Owen updated SPARK-15934:
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Assignee: Egor Pakhomov
> Return binary mode in ThriftServer
> --
>
>
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Sean Owen resolved SPARK-10757.
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Resolution: Won't Fix
> Java friendly constructor for distributed matrices
>
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Herman van Hovell commented on SPARK-15467:
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[~kiszk] Shouldn't this be opened
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Shivaram Venkataraman resolved SPARK-15996.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request
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Apache Spark commented on SPARK-15811:
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User 'davies' has created a pull request for
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Apache Spark reassigned SPARK-15811:
Assignee: Davies Liu (was: Apache Spark)
> Python UDFs do not work in Spark 2.0-preview b
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Apache Spark reassigned SPARK-15811:
Assignee: Apache Spark (was: Davies Liu)
> Python UDFs do not work in Spark 2.0-preview b
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Simeon Simeonov edited comment on SPARK-14048 at 6/16/16 7:02 PM:
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Simeon Simeonov commented on SPARK-14048:
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[~clockfly] The code executes with no
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Kazuaki Ishizaki commented on SPARK-15467:
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We are waiting for author's review a
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Davies Liu updated SPARK-15811:
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Description:
I've built spark-2.0-preview (8f5a04b) with scala-2.10 using the following
{code}
./dev
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Apache Spark reassigned SPARK-15998:
Assignee: Apache Spark
> Verification of SQLConf HIVE_METASTORE_PARTITION_PRUNING
> --
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Apache Spark commented on SPARK-15998:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-15998:
Assignee: (was: Apache Spark)
> Verification of SQLConf HIVE_METASTORE_PARTITION_PRUNI
Xiao Li created SPARK-15998:
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Summary: Verification of SQLConf HIVE_METASTORE_PARTITION_PRUNING
Key: SPARK-15998
URL: https://issues.apache.org/jira/browse/SPARK-15998
Project: Spark
Issue Type: Te
Gayathri Murali created SPARK-15997:
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Summary: Audit ml.feature Update documentation for ml feature
transformers
Key: SPARK-15997
URL: https://issues.apache.org/jira/browse/SPARK-15997
Project: Spar
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Dongjoon Hyun updated SPARK-15996:
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Description:
Currently, R examples(dataframe.R and data-manipulation.R) fail like the
followin
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Tathagata Das updated SPARK-15981:
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Description:
Bug in Python DataStreamReader API made it unusable. Because a single path was
be
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Charles Allen closed SPARK-12248.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Make Spark Coarse Mesos Scheduler obey limits on
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Charles Allen commented on SPARK-12248:
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The limit of one task per slave seems to h
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Charles Allen updated SPARK-15992:
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Attachment: (was:
0001-Refactor-MesosCoarseGrainedSchedulerBackend-offer-co.patch)
> Code
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Charles Allen updated SPARK-15994:
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Attachment: (was: 0001-Add-ability-to-enable-mesos-fetch-cache.patch)
> Allow enabling Meso
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Apache Spark reassigned SPARK-15992:
Assignee: Apache Spark
> Code cleanup mesos coarse backend offer evaluation workflow
> ---
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Apache Spark reassigned SPARK-15992:
Assignee: (was: Apache Spark)
> Code cleanup mesos coarse backend offer evaluation wor
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https://issues.apache.org/jira/browse/SPARK-15992?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334364#comment-15334364
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Apache Spark commented on SPARK-15992:
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User 'drcrallen' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-15996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15996:
Assignee: (was: Apache Spark)
> Fix R dataframe example by removing deprecated functio
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https://issues.apache.org/jira/browse/SPARK-15996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15996:
Assignee: Apache Spark
> Fix R dataframe example by removing deprecated functions
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https://issues.apache.org/jira/browse/SPARK-15996?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334362#comment-15334362
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Apache Spark commented on SPARK-15996:
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User 'dongjoon-hyun' has created a pull requ
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https://issues.apache.org/jira/browse/SPARK-15994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15994:
Assignee: Apache Spark
> Allow enabling Mesos fetch cache in coarse executor backend
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https://issues.apache.org/jira/browse/SPARK-15994?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334356#comment-15334356
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Apache Spark commented on SPARK-15994:
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User 'drcrallen' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-15994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15994:
Assignee: (was: Apache Spark)
> Allow enabling Mesos fetch cache in coarse executor ba
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https://issues.apache.org/jira/browse/SPARK-15608?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-15608:
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Issue Type: Documentation (was: Sub-task)
Parent: (was: SPARK-15099)
> Add
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https://issues.apache.org/jira/browse/SPARK-15099?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-15099:
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Assignee: Yanbo Liang
> Audit: ml.regression
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>
>
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Joseph K. Bradley resolved SPARK-15099.
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Resolution: Done
Marking as done since this JIRA is just for the audit. Thanks [~yan
Dongjoon Hyun created SPARK-15996:
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Summary: Fix R dataframe example by removing deprecated functions
Key: SPARK-15996
URL: https://issues.apache.org/jira/browse/SPARK-15996
Project: Spark
Is
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https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334346#comment-15334346
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Joseph K. Bradley commented on SPARK-15100:
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[~yuhaoyan] Is it correct that yo
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https://issues.apache.org/jira/browse/SPARK-15786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334331#comment-15334331
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Yin Huai commented on SPARK-15786:
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Is there any chance that we can let users know what
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https://issues.apache.org/jira/browse/SPARK-15990?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334320#comment-15334320
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Apache Spark commented on SPARK-15990:
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User 'jerryshao' has created a pull request
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https://issues.apache.org/jira/browse/SPARK-15990?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15990:
Assignee: (was: Apache Spark)
> Support rolling log aggregation for Spark running on Y
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