Velu nambi created SPARK-10361:
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Summary: model.predictAll() fails at user_product.first()
Key: SPARK-10361
URL: https://issues.apache.org/jira/browse/SPARK-10361
Project: Spark
Issue Type: Bug
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Apache Spark reassigned SPARK-10149:
Assignee: Apache Spark
> Locality Level is ANY on "Details for Stage" WebUI page
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Apache Spark reassigned SPARK-10149:
Assignee: (was: Apache Spark)
> Locality Level is ANY on "Details for Stage" WebUI pag
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Apache Spark commented on SPARK-10149:
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User 'wulei-bj-cn' has created a pull reques
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Sean Owen commented on SPARK-10361:
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Doesn't this just appear to be a network problem o
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Sean Owen commented on SPARK-10359:
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Is SPARK-4123 a dupe of this or vice versa then?
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Velu nambi commented on SPARK-10361:
[~srowen] I'm running a standalone version of sp
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Kevin Jung commented on SPARK-10039:
I quickly look over scala github to investigate
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Kevin Jung closed SPARK-10039.
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Resolution: Invalid
> Resetting REPL state does not work
> --
>
>
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Sean Owen commented on SPARK-10361:
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The error is right here though -- your Python and
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Sean Owen commented on SPARK-10039:
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OK, if you can take it up with the Scala project a
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Apache Spark commented on SPARK-10259:
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User 'taishi-oss' has created a pull request
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Apache Spark reassigned SPARK-10259:
Assignee: (was: Apache Spark)
> Add @Since annotation to ml.classification
> -
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Apache Spark reassigned SPARK-10259:
Assignee: Apache Spark
> Add @Since annotation to ml.classification
>
Hsueh-Min Chen created SPARK-10362:
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Summary: Cannot create DataFrame from large pandas.DataFrame
Key: SPARK-10362
URL: https://issues.apache.org/jira/browse/SPARK-10362
Project: Spark
Issue
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Hsueh-Min Chen updated SPARK-10362:
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Description:
I tried to convert a pandas.DataFrame object to pyspark's DataFrame. It works
f
Peng Zhen created SPARK-10363:
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Summary: DataframeWriter write failed when multi applications
write the same partitioned directory
Key: SPARK-10363
URL: https://issues.apache.org/jira/browse/SPARK-10363
P
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Yanbo Liang updated SPARK-10023:
Description:
"checkpointInterval" is member of DecisionTreeParams in Scala API which is
inconsiste
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Cheng Lian updated SPARK-10289:
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Comment: was deleted
(was: User 'liancheng' has created a pull request for this issue:
https://github
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Cheng Lian updated SPARK-10289:
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Fix Version/s: 1.6.0
> A direct write API for testing Parquet compatibility
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Cheng Lian resolved SPARK-10289.
Resolution: Fixed
Resolved by https://github.com/apache/spark/pull/8454
> A direct write API for t
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Apache Spark commented on SPARK-9990:
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User 'zsxwing' has created a pull request for t
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Apache Spark reassigned SPARK-9990:
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Assignee: Apache Spark
> Create local hash join operator
> ---
>
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Apache Spark reassigned SPARK-9990:
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Assignee: (was: Apache Spark)
> Create local hash join operator
> ---
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Apache Spark reassigned SPARK-10162:
Assignee: Apache Spark
> PySpark filters with datetimes mess up when datetimes have timezo
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Apache Spark reassigned SPARK-10162:
Assignee: (was: Apache Spark)
> PySpark filters with datetimes mess up when datetimes
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Apache Spark commented on SPARK-10162:
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User '0x0FFF' has created a pull request for
Cheng Lian created SPARK-10364:
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Summary: Support Parquet logical type TIMESTAMP_MILLIS
Key: SPARK-10364
URL: https://issues.apache.org/jira/browse/SPARK-10364
Project: Spark
Issue Type: Sub-tas
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Cheng Lian updated SPARK-8824:
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Summary: Support Parquet time related logical types (was: Support Parquet
logical types TIMESTAMP_MILLI
Cheng Lian created SPARK-10365:
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Summary: Support Parquet logical types TIMESTAMP_MILLIS and
TIMESTAMP_MICROS
Key: SPARK-10365
URL: https://issues.apache.org/jira/browse/SPARK-10365
Project: Spark
Cheng Lian created SPARK-10366:
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Summary: Support Parquet logical type DATE
Key: SPARK-10366
URL: https://issues.apache.org/jira/browse/SPARK-10366
Project: Spark
Issue Type: Sub-task
Cheng Lian created SPARK-10367:
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Summary: Support Parquet logical type INTERVAL
Key: SPARK-10367
URL: https://issues.apache.org/jira/browse/SPARK-10367
Project: Spark
Issue Type: Sub-task
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Cheng Lian updated SPARK-10365:
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Summary: Support Parquet logical type TIMESTAMP_MICROS (was: Support
Parquet logical types TIMESTAMP
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Cheng Lian updated SPARK-10365:
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Target Version/s: (was: 1.6.0)
> Support Parquet logical type TIMESTAMP_MICROS
> --
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Cheng Lian updated SPARK-10365:
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Description:
Didn't assign target version for this ticket because neither the most recent
parquet-mr
Jacek Laskowski created SPARK-10368:
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Summary: "Could not parse Master URL" leaves spark-shell unusable
Key: SPARK-10368
URL: https://issues.apache.org/jira/browse/SPARK-10368
Project: Spark
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Apache Spark reassigned SPARK-10117:
Assignee: Apache Spark (was: Kai Sasaki)
> Implement SQL data source API for reading LIBS
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Apache Spark reassigned SPARK-10117:
Assignee: Kai Sasaki (was: Apache Spark)
> Implement SQL data source API for reading LIBS
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Apache Spark commented on SPARK-10117:
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User 'Lewuathe' has created a pull request f
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Sean Owen updated SPARK-10368:
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Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
I'm not sure it's a bug; the er
Shixiong Zhu created SPARK-10369:
Summary: Fix a bug that Receiver could not be started after
deregistering
Key: SPARK-10369
URL: https://issues.apache.org/jira/browse/SPARK-10369
Project: Spark
Imran Rashid created SPARK-10370:
Summary: After a stages map outputs are registered, all running
attempts should be marked as zombies
Key: SPARK-10370
URL: https://issues.apache.org/jira/browse/SPARK-10370
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Apache Spark reassigned SPARK-10369:
Assignee: (was: Apache Spark)
> Fix a bug that Receiver could not be started after der
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Apache Spark reassigned SPARK-10369:
Assignee: Apache Spark
> Fix a bug that Receiver could not be started after deregistering
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Apache Spark commented on SPARK-10369:
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User 'zsxwing' has created a pull request fo
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Seth Hendrickson commented on SPARK-9642:
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NP, thanks for responding!
> LinearReg
Xiangrui Meng created SPARK-10371:
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Summary: Optimize sequential projections
Key: SPARK-10371
URL: https://issues.apache.org/jira/browse/SPARK-10371
Project: Spark
Issue Type: New Feature
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Xiangrui Meng commented on SPARK-10371:
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ping [~yhuai]
> Optimize sequential proje
Imran Rashid created SPARK-10372:
Summary: Tests for entire scheduler
Key: SPARK-10372
URL: https://issues.apache.org/jira/browse/SPARK-10372
Project: Spark
Issue Type: Test
Compone
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Velu nambi commented on SPARK-10361:
Thanks [~srowen].
Is this a known issue, any su
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Shivaram Venkataraman commented on SPARK-10360:
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There is no way to do this
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Niharika commented on SPARK-10360:
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Thank you Shivaram for the reply, it is indeed helpf
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Niharika closed SPARK-10360.
Resolution: Fixed
> Real time analytics using SparkR and Apache Kafka
> ---
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Feynman Liang commented on SPARK-7454:
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[~mengxr] [~josephkb] can we close this since
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Sean Owen commented on SPARK-10361:
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The tests are passing and I haven't heard anything
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Xiangrui Meng updated SPARK-10264:
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Assignee: Tijo Thomas
> Add @Since annotation to ml.recoomendation
> --
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Xiangrui Meng updated SPARK-10264:
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Target Version/s: 1.6.0
> Add @Since annotation to ml.recoomendation
>
Xiangrui Meng created SPARK-10373:
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Summary: Move @since annotator to pyspark to be shared by all
components
Key: SPARK-10373
URL: https://issues.apache.org/jira/browse/SPARK-10373
Project: Spark
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Xiangrui Meng updated SPARK-10258:
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Assignee: Martin Brown
> Add @Since annotation to ml.feature
>
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Xiangrui Meng updated SPARK-10259:
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Assignee: Hiroshi Takahashi
> Add @Since annotation to ml.classification
>
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Xiangrui Meng updated SPARK-10259:
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Target Version/s: 1.6.0
> Add @Since annotation to ml.classification
>
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Marcelo Vanzin commented on SPARK-10358:
This is fixed in 1.4 and later, I doubt
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Marcelo Vanzin commented on SPARK-10358:
Original issue: SPARK-6014
> Spark-sql
Matt Cheah created SPARK-10374:
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Summary: Spark-core 1.5.0-RC2 can create version conflicts with
apps depending on protobuf-2.4
Key: SPARK-10374
URL: https://issues.apache.org/jira/browse/SPARK-10374
Pro
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Matt Cheah commented on SPARK-10374:
I intend to create a smaller standalone program
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Sean Owen updated SPARK-10374:
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Priority: Major (was: Blocker)
Fix Version/s: (was: 1.5.0)
([~mcheah] don't set Fix versi
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Patrick Wendell commented on SPARK-10374:
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Hey Matt,
I think the only thing that
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Marcelo Vanzin commented on SPARK-10374:
This is actually caused by the akka vers
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Marcelo Vanzin commented on SPARK-10374:
BTW since akka depends on protobuf, one
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Marcelo Vanzin commented on SPARK-10374:
nevermind, Patrick pointed out that the
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Imran Rashid resolved SPARK-8730.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 7122
[https://github.
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Matt Cheah commented on SPARK-10374:
I'll try switching the Akka version pulled in by
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Patrick Wendell commented on SPARK-10359:
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The approach in SPARK-4123 was a bit d
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Patrick Wendell resolved SPARK-4123.
Resolution: Duplicate
I've proposed a slightly different approach in SPARK-10359, so I'm clo
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Zhan Zhang commented on SPARK-10304:
[~yhuai] I tried to reproduce the problem with t
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Yin Huai commented on SPARK-10304:
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The dir struct I have is something like the followin
Thomas created SPARK-10375:
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Summary: Setting the driver memory with
SparkConf().set("spark.driver.memory","1g") does not work
Key: SPARK-10375
URL: https://issues.apache.org/jira/browse/SPARK-10375
Project:
Steve Loughran created SPARK-10376:
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Summary: Once/When YARN permits it, only use POST for kill action
Key: SPARK-10376
URL: https://issues.apache.org/jira/browse/SPARK-10376
Project: Spark
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Tathagata Das updated SPARK-10369:
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Fix Version/s: 1.5.0
> Fix a bug that Receiver could not be started after deregistering
> -
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Tathagata Das resolved SPARK-10369.
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Resolution: Fixed
Assignee: Shixiong Zhu
> Fix a bug that Receiver could not be started
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Marcelo Vanzin resolved SPARK-10375.
Resolution: Not A Problem
You can't set the driver memory after the driver has already star
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Marcelo Vanzin edited comment on SPARK-10375 at 8/31/15 7:27 PM:
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Imran Rashid updated SPARK-10370:
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Assignee: (was: Imran Rashid)
> After a stages map outputs are registered, all running attemp
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Imran Rashid updated SPARK-10372:
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Fix Version/s: 1.6.0
> Tests for entire scheduler
> --
>
>
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Reynold Xin resolved SPARK-10170.
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Resolution: Fixed
Assignee: Suresh Thalamati
Fix Version/s: 1.6.0
> Add DB2 JDBC
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Reynold Xin updated SPARK-10170:
Summary: Add DB2 JDBC dialect support (was: Writing from data frame into
db2 database using jdbc d
Frode Sormo created SPARK-10377:
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Summary: Backported refactor cause
Key: SPARK-10377
URL: https://issues.apache.org/jira/browse/SPARK-10377
Project: Spark
Issue Type: Bug
Components:
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Frode Sormo updated SPARK-10377:
Summary: Cassandra connector affected by backport change (was: Backported
refactor cause)
> Cassa
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matt hoffman commented on SPARK-6961:
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How is that an installation-side issue? There i
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https://issues.apache.org/jira/browse/SPARK-10291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10291:
Assignee: (was: Apache Spark)
> Add statsByKey method to compute StatCounters for each
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https://issues.apache.org/jira/browse/SPARK-10291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14723944#comment-14723944
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Apache Spark commented on SPARK-10291:
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User 'eshilts' has created a pull request fo
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https://issues.apache.org/jira/browse/SPARK-10291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10291:
Assignee: Apache Spark
> Add statsByKey method to compute StatCounters for each key in an
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https://issues.apache.org/jira/browse/SPARK-10304?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14723994#comment-14723994
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Zhan Zhang commented on SPARK-10304:
[~yhuai] I think the NPE is caused by the direct
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https://issues.apache.org/jira/browse/SPARK-10373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14724009#comment-14724009
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Davies Liu commented on SPARK-10373:
[~mengxr] Do we want to add @since for the MLLib
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https://issues.apache.org/jira/browse/SPARK-10320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14724038#comment-14724038
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Sudarshan Kadambi commented on SPARK-10320:
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Good questions Cody.
When adding
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https://issues.apache.org/jira/browse/SPARK-9957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-9957:
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Assignee: Apache Spark
> Spark ML trees should filter out 1-category features
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Apache Spark reassigned SPARK-9957:
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Assignee: (was: Apache Spark)
> Spark ML trees should filter out 1-category features
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https://issues.apache.org/jira/browse/SPARK-9957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14724067#comment-14724067
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Apache Spark commented on SPARK-9957:
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User 'holdenk' has created a pull request for t
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https://issues.apache.org/jira/browse/SPARK-10320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14724074#comment-14724074
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Cody Koeninger commented on SPARK-10320:
" If you restart the job and specify a n
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https://issues.apache.org/jira/browse/SPARK-10320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cody Koeninger updated SPARK-10320:
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Summary: Kafka Support new topic subscriptions without requiring restart of
the streaming con
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