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yuhao yang commented on SPARK-18704:
Glad to have your attention. In
https://github.
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Xiao Li updated SPARK-18539:
Comment: was deleted
(was: Below is the test case you can try.
{noformat}
Seq("parquet").foreach { for
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Xiao Li commented on SPARK-18539:
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Below is the test case you can try.
{noformat}
Se
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Xiao Li edited comment on SPARK-18539 at 12/5/16 7:42 AM:
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The e
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Xiao Li commented on SPARK-18539:
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The error is from Parquet.
{noformat}
16/11/22 17:43:4
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Reynold Xin commented on SPARK-18539:
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Why don't we fix the parquet reader so it can
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Xiao Li commented on SPARK-18539:
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The default of `spark.sql.parquet.mergeSchema` is fals
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Nick Pentreath commented on SPARK-18704:
Yeah, I like this idea. I've also been f
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Wayne Zhang updated SPARK-18715:
Description:
The AIC calculation in Binomial GLM seems to be wrong when there are weights.
The res
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Saleem Ansari commented on SPARK-18531:
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[~yuhaoyan] Thanks for your suggestion.
H
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Vitaly Gerasimov commented on SPARK-18539:
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I think this is another reason why w
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Vitaly Gerasimov commented on SPARK-18539:
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If we can neglect the performance wh
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Xiao Li commented on SPARK-18539:
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FYI, I checked the other formats, CSV and JSON work as
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Wayne Zhang updated SPARK-18715:
Summary: Fix wrong AIC calculation in Binomial GLM (was: Correct AIC
calculation in Binomial GLM)
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Dongjoon Hyun resolved SPARK-18642.
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Resolution: Fixed
Fix Version/s: 2.0.0
I close this issue as a `Fixed` because of the
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Xiao Li commented on SPARK-18539:
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Yeah. It is very slow when you have many many small pa
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Vitaly Gerasimov commented on SPARK-18539:
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Hmm.. How it works when we use schem
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Xiao Li commented on SPARK-18539:
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Basically, we have to know whether a column exists or
Wayne Zhang created SPARK-18715:
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Summary: Correct AIC calculation in Binomial GLM
Key: SPARK-18715
URL: https://issues.apache.org/jira/browse/SPARK-18715
Project: Spark
Issue Type: Bug
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Vitaly Gerasimov commented on SPARK-18539:
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If I turn off `spark.sql.parquet.fil
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Miao Wang commented on SPARK-18349:
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Will submit PR by tomorrow. Thanks!
> Update R AP
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Apache Spark reassigned SPARK-18714:
Assignee: Reynold Xin (was: Apache Spark)
> SparkSession.time - a simple timer function
>
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Apache Spark commented on SPARK-18714:
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User 'rxin' has created a pull request for t
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Apache Spark reassigned SPARK-18714:
Assignee: Apache Spark (was: Reynold Xin)
> SparkSession.time - a simple timer function
>
Reynold Xin created SPARK-18714:
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Summary: Add a simple time function to SparkSession
Key: SPARK-18714
URL: https://issues.apache.org/jira/browse/SPARK-18714
Project: Spark
Issue Type: New Feat
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Reynold Xin updated SPARK-18714:
Summary: SparkSession.time - a simple timer function (was: Add a simple
time function to SparkSess
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Dongjoon Hyun closed SPARK-18712.
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Resolution: Won't Fix
I'm closing this issue. You can reopen this if you have still another opini
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Dongjoon Hyun commented on SPARK-18712:
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Hi, [~yahsuan].
Thank you for making issue
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Apache Spark reassigned SPARK-18705:
Assignee: Apache Spark
> Docs for one-pass solver for linear regression with L1 and elasti
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Apache Spark commented on SPARK-18705:
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User 'sethah' has created a pull request for
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Apache Spark reassigned SPARK-18705:
Assignee: (was: Apache Spark)
> Docs for one-pass solver for linear regression with L1
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Reynold Xin resolved SPARK-18702.
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Resolution: Fixed
Fix Version/s: 2.2.0
> input_file_block_start and input_file_block_lengt
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Xiao Li commented on SPARK-18539:
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Could you turn off `spark.sql.parquet.filterPushdown`?
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Dongjoon Hyun commented on SPARK-18539:
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The use case makes sense. I see now!
> Ca
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Vitaly Gerasimov commented on SPARK-18539:
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Thank you for your reply. I think we
Prasann modi created SPARK-18713:
Summary: using SparkR build step wise regression model (glm)
Key: SPARK-18713
URL: https://issues.apache.org/jira/browse/SPARK-18713
Project: Spark
Issue Typ
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koert kuipers commented on SPARK-18251:
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i think all of these arguments are very va
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yahsuan, chang updated SPARK-18712:
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Summary: keep the order of sql expression and support short circuit (was:
keep the order of
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yahsuan, chang updated SPARK-18712:
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Description:
The following python code fails with spark 2.0.2, but works with spark 1.5.2
{c
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yahsuan, chang updated SPARK-18712:
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Description:
The following python code fails with spark 2.0.2, but works with spark 1.5.2
{c
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yahsuan, chang updated SPARK-18712:
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Summary: keep the order of sql expression (was: support short circuit for
sql expression)
>
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yahsuan, chang updated SPARK-18712:
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Description:
The following python code fails with spark 2.0.2, but works with spark 1.5.2
{c
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yahsuan, chang updated SPARK-18712:
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Description:
The following python code fails with spark 2.0.2, but works with spark 1.5.2
{c
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Shivaram Venkataraman resolved SPARK-18643.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request
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yahsuan, chang updated SPARK-18712:
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Description:
The following python code failed with spark 2.0.2, but worked with spark 1.5.2
yahsuan, chang created SPARK-18712:
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Summary: support short circuit for sql expression
Key: SPARK-18712
URL: https://issues.apache.org/jira/browse/SPARK-18712
Project: Spark
Issue Type: Wish
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koert kuipers commented on SPARK-18711:
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simplified:
{noformat}
case class Holder
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koert kuipers updated SPARK-18711:
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Description:
this is a bug in the branch-2.1, but i don't think it was in 2.1.0-rc1
code (contr
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koert kuipers updated SPARK-18711:
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Description:
this is a bug in the branch-2.1, but i don't think it was in 2.1.0-rc1
code:
{nofo
koert kuipers created SPARK-18711:
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Summary: NPE in generated SpecificMutableProjection for Aggregator
Key: SPARK-18711
URL: https://issues.apache.org/jira/browse/SPARK-18711
Project: Spark
I
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Dongjoon Hyun commented on SPARK-18539:
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Thank you so much!
> Cannot filter by non
Wayne Zhang created SPARK-18710:
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Summary: Add offset to GeneralizedLinearRegression models
Key: SPARK-18710
URL: https://issues.apache.org/jira/browse/SPARK-18710
Project: Spark
Issue Type: Ne
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Xiao Li commented on SPARK-18539:
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The parquet filter push-down of Spark 2.x is different
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Seth Hendrickson commented on SPARK-18705:
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Yeah, I'll do it today :)
> Docs fo
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Dongjoon Hyun commented on SPARK-18539:
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It looks like the predicates are pushed do
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Jakub Nowacki edited comment on SPARK-18699 at 12/4/16 10:26 PM:
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Jakub Nowacki commented on SPARK-18699:
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While I don't argue that some other packag
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Dongjoon Hyun closed SPARK-18707.
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Resolution: Invalid
Sorry, but JIRA is not for questions.
It seems to me a usage question.
Please
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Dongjoon Hyun commented on SPARK-18709:
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Also, I updated the fix version to 2.0.0 a
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Dongjoon Hyun updated SPARK-18709:
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Fix Version/s: (was: 2.0.2)
2.0.0
> Automatic null conversion bug (inste
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Dongjoon Hyun commented on SPARK-18709:
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Hi, [~amogh.91].
I removed the target vers
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Dongjoon Hyun updated SPARK-18709:
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Target Version/s: (was: 1.6.3)
> Automatic null conversion bug (instead of throwing error) wh
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koert kuipers commented on SPARK-15810:
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here is an example where (None,) gets read
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Amogh Param updated SPARK-18709:
Summary: Automatic null conversion bug (instead of throwing error) when
creating a Spark Datarame w
Amogh Param created SPARK-18709:
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Summary: Failure to throw error and automatic null conversion bug
when creating a Spark Datarame with incompatible types for fields.
Key: SPARK-18709
URL: https://issues.apache.org/
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koert kuipers edited comment on SPARK-15810 at 12/4/16 8:36 PM:
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koert kuipers commented on SPARK-15810:
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when i code Aggregator up generically as a
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Anton Okolnychyi updated SPARK-18534:
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Description:
There is a problem with user-defined aggregations in the Dataset API in Spar
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Anton Okolnychyi updated SPARK-18534:
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Description:
There is a problem with user-defined aggregations in the Dataset API in Spar
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Apache Spark reassigned SPARK-16609:
Assignee: (was: Apache Spark)
> Single function for parsing timestamps/dates
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Apache Spark reassigned SPARK-16609:
Assignee: Apache Spark
> Single function for parsing timestamps/dates
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Apache Spark commented on SPARK-16609:
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User 'anabranch' has created a pull request
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Anton Okolnychyi updated SPARK-18534:
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Description:
There is a problem with user-defined aggregations in the Dataset API in Spar
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Anton Okolnychyi commented on SPARK-18534:
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[~yhuai], it seems that you should b
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Anton Okolnychyi updated SPARK-18534:
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Affects Version/s: 1.6.2
> Datasets Aggregation with Maps
> -
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Anton Okolnychyi commented on SPARK-18534:
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I have done a small investigation to
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Wayne Zhang updated SPARK-18701:
Shepherd: Sean Owen (was: sean corkum)
Issue Type: Bug (was: New Feature)
> Poisson GLM fai
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koert kuipers commented on SPARK-15810:
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similar test:
{noformat}
val agg1 = new
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koert kuipers commented on SPARK-15810:
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to continue the previous example: wrapping
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koert kuipers commented on SPARK-15810:
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next, again with spark 2.1.x branch i want
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Apache Spark commented on SPARK-18708:
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User 'Mironor' has created a pull request fo
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Apache Spark reassigned SPARK-18708:
Assignee: (was: Apache Spark)
> Improve documentation in SparkContext.scala file
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Apache Spark reassigned SPARK-18708:
Assignee: Apache Spark
> Improve documentation in SparkContext.scala file
> --
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koert kuipers commented on SPARK-15810:
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i am redoing tests with options and aggreg
Bedrytski Aliaksandr created SPARK-18708:
Summary: Improve documentation in SparkContext.scala file
Key: SPARK-18708
URL: https://issues.apache.org/jira/browse/SPARK-18708
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-18682?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15720146#comment-15720146
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Cody Koeninger commented on SPARK-18682:
Isn't this a duplicate of https://issues
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Cody Koeninger updated SPARK-18682:
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Comment: was deleted
(was: Isn't this a duplicate of
https://issues.apache.org/jira/browse/S
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Cody Koeninger commented on SPARK-18682:
Isn't this a duplicate of https://issues
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https://issues.apache.org/jira/browse/SPARK-18699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15720128#comment-15720128
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Hyukjin Kwon commented on SPARK-18699:
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Thank you for cc'ing me. Yup, I noticed this
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https://issues.apache.org/jira/browse/SPARK-18706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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hustfxj closed SPARK-18706.
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Resolution: Duplicate
> Can spark support exactly once based kafka ? Due to these following question.
>
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hustfxj commented on SPARK-18706:
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1. If a task complete the operation, it will notify dr
hustfxj created SPARK-18706:
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Summary: Can spark support exactly once based kafka ? Due to
these following question.
Key: SPARK-18706
URL: https://issues.apache.org/jira/browse/SPARK-18706
Project: Spark
hustfxj created SPARK-18707:
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Summary: Can spark support exactly once based kafka ? Due to
these following question?
Key: SPARK-18707
URL: https://issues.apache.org/jira/browse/SPARK-18707
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-18699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15720069#comment-15720069
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Takeshi Yamamuro commented on SPARK-18699:
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Anyway, we can easily fix this like
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Takeshi Yamamuro commented on SPARK-18699:
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Additionally, in our basic stance, i
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Takeshi Yamamuro commented on SPARK-18699:
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`DROPMALFORMED` works well in this q
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https://issues.apache.org/jira/browse/SPARK-18661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-18661.
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Resolution: Fixed
Assignee: Eric Liang
Fix Version/s: 2.1.0
> Creating a partitio
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Yanbo Liang commented on SPARK-18322:
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I have checked major changes during this relea
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https://issues.apache.org/jira/browse/SPARK-18705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15719964#comment-15719964
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Yanbo Liang commented on SPARK-18705:
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[~sethah] Do you have time to work on this? Th
Yanbo Liang created SPARK-18705:
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Summary: Docs for one-pass solver for linear regression with L1
and elastic-net penalties
Key: SPARK-18705
URL: https://issues.apache.org/jira/browse/SPARK-18705
Projec
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