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yuhao yang commented on SPARK-19337:
I'll start work on this if no one has started.
> Documentation
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Apache Spark reassigned SPARK-19421:
Assignee: Apache Spark
> Remove numClasses and numFeatures methods in LinearSVC
>
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Apache Spark reassigned SPARK-19421:
Assignee: (was: Apache Spark)
> Remove numClasses and numFeatures methods in
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Apache Spark commented on SPARK-19421:
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User 'zhengruifeng' has created a pull request for this
zhengruifeng created SPARK-19421:
Summary: Remove numClasses and numFeatures methods in LinearSVC
Key: SPARK-19421
URL: https://issues.apache.org/jira/browse/SPARK-19421
Project: Spark
Issue
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Apache Spark commented on SPARK-19420:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19420:
Assignee: Apache Spark (was: Xiao Li)
> Confusing error message when using outer join on
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Apache Spark commented on SPARK-19419:
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User 'gatorsmile' has created a pull request for this issue:
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Apache Spark reassigned SPARK-19419:
Assignee: Xiao Li (was: Apache Spark)
> Unable to detect all the cases of cartesian
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Apache Spark reassigned SPARK-19420:
Assignee: Xiao Li (was: Apache Spark)
> Confusing error message when using outer join on
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Apache Spark reassigned SPARK-19419:
Assignee: Apache Spark (was: Xiao Li)
> Unable to detect all the cases of cartesian
Xiao Li created SPARK-19420:
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Summary: Confusing error message when using outer join on two
large tables
Key: SPARK-19420
URL: https://issues.apache.org/jira/browse/SPARK-19420
Project: Spark
Xiao Li created SPARK-19419:
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Summary: Unable to detect all the cases of cartesian products when
spark.sql.crossJoin.enabled is false
Key: SPARK-19419
URL: https://issues.apache.org/jira/browse/SPARK-19419
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Apache Spark commented on SPARK-19319:
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User 'wangmiao1981' has created a pull request for this
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Gaurav Shah commented on SPARK-19304:
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[~srowen] tried working through the code but unsure how to
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Felix Cheung resolved SPARK-19319.
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Resolution: Fixed
Assignee: Miao Wang
Fix Version/s: 2.2.0
Target
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Suresh Avadhanula commented on SPARK-19418:
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I can attach the sample code to reproduce the
Suresh Avadhanula created SPARK-19418:
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Summary: Dataset generated java code fails to compile as
java.lang.Long does not accept UTF8String in constructor
Key: SPARK-19418
URL:
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Felix Cheung updated SPARK-19386:
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Target Version/s: 2.2.0
> Bisecting k-means in SparkR documentation
>
Chris Kanich created SPARK-19417:
Summary: spark.files.overwrite is ignored
Key: SPARK-19417
URL: https://issues.apache.org/jira/browse/SPARK-19417
Project: Spark
Issue Type: Bug
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Steven Ruppert commented on SPARK-19098:
Actually, the "fix" of checkpointing the RDDs only seems
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Jun Ye edited comment on SPARK-16599 at 2/1/17 2:25 AM:
I got the same exception
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Jun Ye edited comment on SPARK-16599 at 2/1/17 2:24 AM:
I got the same exception
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Jun Ye edited comment on SPARK-16599 at 2/1/17 2:25 AM:
I got the same exception
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Jun Ye edited comment on SPARK-16599 at 2/1/17 2:24 AM:
I got the same exception
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Jun Ye edited comment on SPARK-16599 at 2/1/17 2:22 AM:
I got the same exception
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Jun Ye edited comment on SPARK-16599 at 2/1/17 2:23 AM:
I got the same exception
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Jun Ye commented on SPARK-16599:
I got the same exception with the following code:
(My Spark version is
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Tathagata Das resolved SPARK-19378.
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Resolution: Fixed
Fix Version/s: 3.0.0
2.1.1
Issue resolved by
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Joseph K. Bradley edited comment on SPARK-12965 at 2/1/17 12:43 AM:
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Joseph K. Bradley commented on SPARK-12965:
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I'd say this is both a SQL and MLlib issue.
I'm
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Joseph K. Bradley updated SPARK-12965:
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Affects Version/s: (was: 1.6.0)
2.2.0
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Joseph K. Bradley updated SPARK-12965:
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Component/s: (was: Spark Core)
> Indexer setInputCol() doesn't resolve column
Joseph K. Bradley created SPARK-19416:
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Summary: Dataset.schema is inconsistent with Dataset in handling
columns with periods
Key: SPARK-19416
URL: https://issues.apache.org/jira/browse/SPARK-19416
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Davies Liu resolved SPARK-19415.
Resolution: Duplicate
Fix Version/s: 2.2.0
> Improve the implicit type conversion between
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https://issues.apache.org/jira/browse/SPARK-19382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15847683#comment-15847683
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Miao Wang commented on SPARK-19382:
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[~josephkb] If I understand correctly, I think we have to create
Davies Liu created SPARK-19415:
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Summary: Improve the implicit type conversion between numeric type
and string to avoid precesion loss
Key: SPARK-19415
URL: https://issues.apache.org/jira/browse/SPARK-19415
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sam elamin commented on SPARK-19414:
Perfect ill do that, or should I say attempt!
but Im loving
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Shixiong Zhu resolved SPARK-19414.
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Resolution: Not A Bug
> Inferring schema in a structured streaming source
>
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Shixiong Zhu commented on SPARK-19414:
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Yes.
> Inferring schema in a structured streaming source
>
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sam elamin commented on SPARK-19414:
[~zsxwing] most probably yes. ah ok i think i understand what
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Apache Spark commented on SPARK-18872:
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User 'dilipbiswal' has created a pull request for this
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Shixiong Zhu commented on SPARK-19414:
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[~samelamin] I know little about BigQuery. Does it provide
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Apache Spark commented on SPARK-18871:
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User 'kevinyu98' has created a pull request for this issue:
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sam elamin commented on SPARK-19414:
Ah thanks for clarifying!
Thats a bit of a shame, ideally id
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Shixiong Zhu commented on SPARK-19414:
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Since you can get the DataFrame, the place to create this
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Shixiong Zhu commented on SPARK-19414:
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Oh, I see, You cannot infer schema when getting the
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Shixiong Zhu commented on SPARK-19414:
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[~samelamin] I would suggest that you take a look at the
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sam elamin reopened SPARK-19414:
> Inferring schema in a structured streaming source
>
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sam elamin commented on SPARK-19414:
Thanks [~zsxwing] but I dont have access to the dataframe at the
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Shixiong Zhu updated SPARK-19414:
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Issue Type: Question (was: Bug)
> Inferring schema in a structured streaming source
>
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Shixiong Zhu resolved SPARK-19414.
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Resolution: Not A Bug
> Inferring schema in a structured streaming source
>
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Shixiong Zhu commented on SPARK-19414:
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You also need to override
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Marcelo Vanzin commented on SPARK-18085:
Storage tab available at this branch:
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Shivaram Venkataraman commented on SPARK-18131:
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Hmm - this is tricky. We ran into a
sam elamin created SPARK-19414:
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Summary: Inferring schema in a structured streaming source
Key: SPARK-19414
URL: https://issues.apache.org/jira/browse/SPARK-19414
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-18864?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15847452#comment-15847452
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Felix Cheung commented on SPARK-18864:
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SPARK-19066 LDA doesn't set optimizer correctly
(This is
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Felix Cheung updated SPARK-18864:
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Comment: was deleted
(was: SPARK-19291 spark.gaussianMixture supports output log-likelihood)
>
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Felix Cheung commented on SPARK-18864:
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SPARK-19291 spark.gaussianMixture supports output
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Felix Cheung resolved SPARK-19395.
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Resolution: Fixed
Assignee: Wayne Zhang
Fix Version/s: 2.2.0
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Felix Cheung edited comment on SPARK-18864 at 1/31/17 8:24 PM:
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SPARK-19395
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Felix Cheung commented on SPARK-18864:
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SPARK-19395 changes to summary format
> Changes of MLlib
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Miao Wang commented on SPARK-19382:
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I can try to submit a PR today or tomorrow. Thanks!
> Test sparse
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Miao Wang commented on SPARK-18131:
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[~felixcheung][~yanboliang][~shivaram] I am trying to add the
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Apache Spark commented on SPARK-19413:
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User 'tdas' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-19413?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19413:
Assignee: Tathagata Das (was: Apache Spark)
> Basic mapGroupsWithState API
>
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Apache Spark reassigned SPARK-19413:
Assignee: Apache Spark (was: Tathagata Das)
> Basic mapGroupsWithState API
>
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https://issues.apache.org/jira/browse/SPARK-19067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tathagata Das updated SPARK-19067:
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Summary: mapGroupsWithState - arbitrary stateful operations with Structured
Streaming (similar
Tathagata Das created SPARK-19413:
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Summary: Basic mapGroupsWithState API
Key: SPARK-19413
URL: https://issues.apache.org/jira/browse/SPARK-19413
Project: Spark
Issue Type: Sub-task
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Wes McKinney commented on SPARK-10057:
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I have been having a really horrible time trying to get
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Apache Spark commented on SPARK-18609:
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User 'hvanhovell' has created a pull request for this issue:
Title: Message Title
Amit Assudani commented on SPARK-19407
Title: Message Title
Enrique Sainz Baixauli updated an issue
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Title: Message Title
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Title: Message Title
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Title: Message Title
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Title: Message Title
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Title: Message Title
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