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Apache Spark commented on SPARK-16456:
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User 'lianhuiwang' has created a pull request for this
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Apache Spark reassigned SPARK-16456:
Assignee: Apache Spark
> Reuse the uncorrelated scalar subqueries with the same logical
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Apache Spark reassigned SPARK-16456:
Assignee: (was: Apache Spark)
> Reuse the uncorrelated scalar subqueries with the
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Yanbo Liang reassigned SPARK-16446:
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Assignee: Yanbo Liang
> Gaussian Mixture Model wrapper in SparkR
>
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Yanbo Liang commented on SPARK-16446:
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Sure.
> Gaussian Mixture Model wrapper in SparkR
>
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Lianhui Wang updated SPARK-16456:
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Summary: Reuse the uncorrelated scalar subqueries with the same logical
plan in a query (was:
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Lianhui Wang updated SPARK-16456:
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Description: In TPCDS Q14, the same physical plan of uncorrelated scalar
subqueries from a CTE
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Reynold Xin resolved SPARK-11857.
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Resolution: Fixed
Assignee: Michael Gummelt (was: Reynold Xin)
Fix Version/s:
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Reynold Xin resolved SPARK-16432.
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Resolution: Fixed
Assignee: Eric Liang
Fix Version/s: 2.0.0
> Empty blocks fail
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Reynold Xin resolved SPARK-16376.
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Resolution: Fixed
Assignee: Sean Owen
Fix Version/s: 2.0.0
> [Spark web UI]:HTTP
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Tathagata Das resolved SPARK-13569.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 14026
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YangyangLiu updated SPARK-16455:
Description: In our case, we are implementing a new mechanism which will
let driver survive when
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Apache Spark reassigned SPARK-16455:
Assignee: Apache Spark
> Add a new hook in makeOffers in CoarseGrainedSchedulerBackend
>
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Apache Spark reassigned SPARK-16455:
Assignee: (was: Apache Spark)
> Add a new hook in makeOffers in
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Apache Spark commented on SPARK-16455:
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User 'lovexi' has created a pull request for this issue:
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YangyangLiu updated SPARK-16455:
Description: In our case, we are implementing restartable resource manager
mechanism which will
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YangyangLiu updated SPARK-16455:
Labels: (was: newbie)
> Add a new hook in makeOffers in CoarseGrainedSchedulerBackend
>
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holdenk updated SPARK-16424:
Description:
For Spark 2.1 we should consider adding support for machine learning on top of
the
holdenk created SPARK-16454:
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Summary: Consider adding a per-batch transform for structured
streaming
Key: SPARK-16454
URL: https://issues.apache.org/jira/browse/SPARK-16454
Project: Spark
Issue
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Reynold Xin resolved SPARK-16387.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s: 2.0.0
> Reserved SQL
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Apache Spark reassigned SPARK-16404:
Assignee: Apache Spark
> LeastSquaresAggregator in Linear Regression serializes
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Apache Spark reassigned SPARK-16404:
Assignee: (was: Apache Spark)
> LeastSquaresAggregator in Linear Regression
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Apache Spark commented on SPARK-16404:
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User 'sethah' has created a pull request for this issue:
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Yin Huai resolved SPARK-16453.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request
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Manoj Kumar commented on SPARK-16365:
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Could you be a bit more clearer about the first point? Is it
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Shivaram Venkataraman commented on SPARK-15767:
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Sorry I missed this thread. I agree with
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Dongjoon Hyun commented on SPARK-16452:
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I see. Thanks.
> basic INFORMATION_SCHEMA support
>
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Reynold Xin commented on SPARK-16452:
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org.apache.spark.sql.execution.systemcatalog ?
Something like
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Xin Ren commented on SPARK-16437:
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It's SQL's problem I think, I'll remove the SparkR tag
> SparkR
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Xin Ren updated SPARK-16437:
Component/s: (was: SparkR)
> SparkR read.df() from parquet got error: SLF4J: Failed to load class
>
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Shivaram Venkataraman commented on SPARK-16437:
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FWIW this also happens with Scala (i.e.
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Xiangrui Meng commented on SPARK-15767:
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This was discussed in SPARK-14831. We should call it
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Dongjoon Hyun commented on SPARK-16452:
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What package name do you prefer?
> basic
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Dongjoon Hyun updated SPARK-16452:
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Comment: was deleted
(was: Is this the same or overlapped issue with
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Reynold Xin resolved SPARK-16281.
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Resolution: Fixed
Assignee: Jian Wu
Fix Version/s: 2.0.1
> Implement parse_url
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Reynold Xin resolved SPARK-16429.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s: 2.1.0
> Include
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Apache Spark commented on SPARK-16453:
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User 'yhuai' has created a pull request for this issue:
Yin Huai created SPARK-16453:
Summary: release script does not publish
spark-hive-thriftserver_2.10
Key: SPARK-16453
URL: https://issues.apache.org/jira/browse/SPARK-16453
Project: Spark
Issue
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Xin Ren updated SPARK-16437:
Description:
build SparkR with command
{code}
build/mvn -DskipTests -Psparkr package
{code}
start SparkR
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Reynold Xin closed SPARK-16201.
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Resolution: Duplicate
> Expose information schema
> -
>
>
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Sean Owen updated SPARK-15630:
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Target Version/s: 2.0.0
Priority: Blocker (was: Major)
> 2.0 python coverage ml root
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Sean Owen updated SPARK-15623:
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Target Version/s: 2.0.0
Priority: Blocker (was: Major)
> 2.0 python coverage ml.feature
>
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Sean Owen updated SPARK-14813:
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Target Version/s: 2.0.0
Priority: Blocker (was: Major)
> ML 2.0 QA: API: Python API
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Sean Owen updated SPARK-16437:
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Fix Version/s: (was: 2.0.0)
> SparkR read.df() from parquet got error: SLF4J: Failed to load class
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Dongjoon Hyun commented on SPARK-16452:
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Is this the same or overlapped issue with
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Xin Ren updated SPARK-16437:
Description:
build SparkR with command
{code}
build/mvn -DskipTests -Psparkr package
{code}
start SparkR
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Reynold Xin commented on SPARK-16452:
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Thanks - feel free to break this down into multiple pieces.
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Dongjoon Hyun commented on SPARK-16452:
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Sure!
> basic INFORMATION_SCHEMA support
>
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Reynold Xin edited comment on SPARK-16452 at 7/8/16 9:12 PM:
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cc [~dongjoon]
Reynold Xin created SPARK-16452:
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Summary: basic INFORMATION_SCHEMA support
Key: SPARK-16452
URL: https://issues.apache.org/jira/browse/SPARK-16452
Project: Spark
Issue Type: New Feature
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Reynold Xin updated SPARK-16452:
Attachment: INFORMATION_SCHEMAsupport.pdf
design spec
> basic INFORMATION_SCHEMA support
>
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Apache Spark commented on SPARK-16387:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-16387:
Assignee: (was: Apache Spark)
> Reserved SQL words are not escaped by JDBC writer
>
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Xin Ren commented on SPARK-16445:
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Hi Xiangrui, may I have a try on this one? Is there a strict deadline
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Reynold Xin closed SPARK-10292.
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Resolution: Later
> make metadata query-able by adding meta table
>
Yesha Vora created SPARK-16451:
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Summary: Spark-shell / pyspark should finish gracefully when
"SaslException: GSS initiate failed" is hit
Key: SPARK-16451
URL: https://issues.apache.org/jira/browse/SPARK-16451
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Dongjoon Hyun commented on SPARK-16387:
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You're right. I'll make a PR for this.
> Reserved SQL
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Dongjoon Hyun updated SPARK-16387:
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Comment: was deleted
(was: Oh, it means Pull Request.
Since you know `JdbcDialect` class, I
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Dongjoon Hyun updated SPARK-16387:
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Comment: was deleted
(was: Hi,
`escaping` sounds possible, but it is not an easy issue to
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Dongjoon Hyun updated SPARK-16387:
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Comment: was deleted
(was: Then, could you make a PR for this?)
> Reserved SQL words are not
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Joseph K. Bradley updated SPARK-13346:
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Summary: Using DataFrames iteratively leads to slow query planning (was:
Using
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holdenk commented on SPARK-15581:
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Yah - the more I look at it the more rough it seems - [~tdas] has it
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Nick Pentreath commented on SPARK-15581:
I think it would be a pretty interesting to explore a
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Nick Pentreath commented on SPARK-16365:
Good question - and part of the reason for getting
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Reynold Xin resolved SPARK-16420.
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Resolution: Fixed
Assignee: Ryan Blue
Fix Version/s: 2.0.0
> UnsafeShuffleWriter
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Niels Becker updated SPARK-16450:
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Comment: was deleted
(was: Spark 1.6.1 was working with Mesos 0.28.0)
> Build failes for Mesos
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Dongjoon Hyun commented on SPARK-16449:
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SPARK-16173 resolved that kind of issue.
> unionAll
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Dongjoon Hyun updated SPARK-16449:
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Comment: was deleted
(was: Oh, I see.)
> unionAll raises "Task not serializable"
>
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Dongjoon Hyun commented on SPARK-16449:
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It seems you are using the result of `describe` at the
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Dongjoon Hyun commented on SPARK-16449:
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Oh, I see.
> unionAll raises "Task not serializable"
>
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Dongjoon Hyun commented on SPARK-16449:
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Unfortunately, I cannot test the notebook due to the given
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Jeff Levy commented on SPARK-16449:
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The problem doesn't appear to be with `describe` here. If I leave
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Manoj Kumar commented on SPARK-3728:
Hi [~xusen]. Are you still working on this?
> RandomForest:
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Dongjoon Hyun edited comment on SPARK-16449 at 7/8/16 7:03 PM:
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In that
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Dongjoon Hyun commented on SPARK-16449:
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In that issue, the root cause was `describe` itself.
>
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Niels Becker commented on SPARK-16450:
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Spark 1.6.1 was working with Mesos 0.28.0
> Build failes
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Dongjoon Hyun commented on SPARK-16449:
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Could you try this in master?
It seems to be similar with
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Reynold Xin resolved SPARK-13638.
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Resolution: Fixed
Assignee: Jurriaan Pruis
Fix Version/s: 2.0.1
> Support for
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Xusen Yin commented on SPARK-16447:
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[~mengxr] I'd like to work on this.
> LDA wrapper in SparkR
>
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Sean Owen commented on SPARK-16449:
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Interesting. Looks like something is serializing a Scala Iterator
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Sean Owen commented on SPARK-16450:
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I don't think this version of Mesos is supported; it sounds like
Niels Becker created SPARK-16450:
Summary: Build failes for Mesos 0.28.x
Key: SPARK-16450
URL: https://issues.apache.org/jira/browse/SPARK-16450
Project: Spark
Issue Type: Bug
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Jeff Levy updated SPARK-16449:
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Description:
Goal: Take the output from `describe` on a large DataFrame, then use a loop to
calculate
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Max Moroz updated SPARK-16409:
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Description:
df = sqlContext.createDataFrame([['c']], ['s'])
df.select(F.regexp_extract('s',
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Dongjoon Hyun edited comment on SPARK-16439 at 7/8/16 5:50 PM:
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For me, it
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https://issues.apache.org/jira/browse/SPARK-16409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15368059#comment-15368059
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Max Moroz commented on SPARK-16409:
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[~srowen] So sorry I was sure I copied the entire code. I'm gonna
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https://issues.apache.org/jira/browse/SPARK-16439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15368056#comment-15368056
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Dongjoon Hyun commented on SPARK-16439:
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For me, it works.
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https://issues.apache.org/jira/browse/SPARK-16449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jeff Levy updated SPARK-16449:
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Description:
Goal: Take the output from `describe` on a large DataFrame, then use a loop to
calculate
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https://issues.apache.org/jira/browse/SPARK-16444?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15368044#comment-15368044
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Miao Wang commented on SPARK-16444:
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[~mengxr] Sure! I am done enough documents and examples last a
Jeff Levy created SPARK-16449:
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Summary: unionAll raises "Task not serializable"
Key: SPARK-16449
URL: https://issues.apache.org/jira/browse/SPARK-16449
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-15767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15367997#comment-15367997
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Kai Jiang commented on SPARK-15767:
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[~mengxr] Would you mind to give some comments on how to design
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https://issues.apache.org/jira/browse/SPARK-15779?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15367977#comment-15367977
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Jonathan Kelly commented on SPARK-15779:
Is there a well-defined list of properties we should
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https://issues.apache.org/jira/browse/SPARK-15804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15367974#comment-15367974
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Wenchen Fan commented on SPARK-15804:
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this will be fixed by
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Apache Spark commented on SPARK-16448:
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User 'cloud-fan' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16448:
Assignee: Apache Spark (was: Wenchen Fan)
> RemoveAliasOnlyProject should not remove
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Apache Spark reassigned SPARK-16448:
Assignee: Wenchen Fan (was: Apache Spark)
> RemoveAliasOnlyProject should not remove
Wenchen Fan created SPARK-16448:
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Summary: RemoveAliasOnlyProject should not remove alias with
metadata
Key: SPARK-16448
URL: https://issues.apache.org/jira/browse/SPARK-16448
Project: Spark
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Xiangrui Meng commented on SPARK-16446:
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[~yanboliang] Do you have time to work on this?
>
Xiangrui Meng created SPARK-16446:
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Summary: Gaussian Mixture Model wrapper in SparkR
Key: SPARK-16446
URL: https://issues.apache.org/jira/browse/SPARK-16446
Project: Spark
Issue Type:
Xiangrui Meng created SPARK-16447:
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Summary: LDA wrapper in SparkR
Key: SPARK-16447
URL: https://issues.apache.org/jira/browse/SPARK-16447
Project: Spark
Issue Type: Sub-task
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