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Navya Krishnappa commented on SPARK-18877:
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Thank you for replying [~dongjoon]. Can you help me
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zhengruifeng commented on SPARK-18813:
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prediction on single instance & Set initial model +1
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Apache Spark reassigned SPARK-18910:
Assignee: Apache Spark
> Can't use UDF that jar file in hdfs
>
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Apache Spark reassigned SPARK-18910:
Assignee: (was: Apache Spark)
> Can't use UDF that jar file in hdfs
>
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Apache Spark commented on SPARK-18910:
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User 'shenh062326' has created a pull request for this
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Reynold Xin closed SPARK-17997.
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Resolution: Later
> Aggregation function for counting distinct values for multiple intervals
>
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Reynold Xin updated SPARK-17997:
Issue Type: Sub-task (was: New Feature)
Parent: SPARK-16026
> Aggregation function for
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Shivaram Venkataraman commented on SPARK-18817:
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[~felixcheung] What do you think are the
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Apache Spark reassigned SPARK-18911:
Assignee: (was: Apache Spark)
> Decouple Statistics and CatalogTable
>
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Apache Spark commented on SPARK-18911:
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User 'wzhfy' has created a pull request for this issue:
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
{code}
spark-sql> create
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
{code}
spark-sql> create
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Apache Spark reassigned SPARK-18911:
Assignee: Apache Spark
> Decouple Statistics and CatalogTable
>
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
spark-sql> create
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Hong Shen commented on SPARK-18910:
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Should I add a pull request to resolve this problem?
> Can't use
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Shivaram Venkataraman resolved SPARK-18895.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.2.0
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
spark-sql> create
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Felix Cheung commented on SPARK-18903:
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this sounds like a reasonable ask, I'll take a look.
>
Zhenhua Wang created SPARK-18911:
Summary: Decouple Statistics and CatalogTable
Key: SPARK-18911
URL: https://issues.apache.org/jira/browse/SPARK-18911
Project: Spark
Issue Type: Sub-task
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Felix Cheung updated SPARK-18903:
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Component/s: (was: Java API)
> uiWebUrl is not accessible to SparkR
>
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Felix Cheung resolved SPARK-18902.
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Resolution: Not A Problem
> Include Apache License in R source Package
>
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Felix Cheung commented on SPARK-18902:
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We have the license in DESCRIPTION file as required for R
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Felix Cheung closed SPARK-18902.
Assignee: Felix Cheung
> Include Apache License in R source Package
>
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Hong Shen updated SPARK-18910:
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Summary: Can't use UDF that jar file in hdfs (was: Can't use UDF that
source file in hdfs)
> Can't
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar
spark-sql> create function trans_array as
Hong Shen created SPARK-18910:
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Summary: Can't use UDF that source file in hdfs
Key: SPARK-18910
URL: https://issues.apache.org/jira/browse/SPARK-18910
Project: Spark
Issue Type: Bug
Wenchen Fan created SPARK-18909:
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Summary: The error message in `ExpressionEncoder.toRow` and
`fromRow` is too verbose
Key: SPARK-18909
URL: https://issues.apache.org/jira/browse/SPARK-18909
Project:
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Hyukjin Kwon commented on SPARK-18906:
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Yes, we should be able to set multiple values in
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Mridul Muralidharan commented on SPARK-18886:
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- Delay 'using up' all resources - another
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Apache Spark reassigned SPARK-18699:
Assignee: Apache Spark
> Spark CSV parsing types other than String throws exception when
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Apache Spark commented on SPARK-18699:
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User 'kubatyszko' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18699:
Assignee: (was: Apache Spark)
> Spark CSV parsing types other than String throws
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Kuba Tyszko commented on SPARK-18699:
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Fixed in PR https://github.com/apache/spark/pull/16319
Enjoy
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Kuba Tyszko edited comment on SPARK-18699 at 12/17/16 3:05 AM:
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Fixed in PR
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Kuba Tyszko closed SPARK-18906.
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Resolution: Duplicate
> CSV parser should return null for empty (or with "") numeric columns.
>
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Yuming Wang updated SPARK-18827:
Attachment: NoSuchElementException4722.gif
> Cann't read broadcast if broadcast blocks are stored
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Apache Spark reassigned SPARK-18908:
Assignee: Apache Spark (was: Shixiong Zhu)
> It's hard for the user to see the failure
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Apache Spark commented on SPARK-18908:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18908:
Assignee: Shixiong Zhu (was: Apache Spark)
> It's hard for the user to see the failure
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Shixiong Zhu reassigned SPARK-18908:
Assignee: Shixiong Zhu
> It's hard for the user to see the failure if StreamExecution
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Shixiong Zhu updated SPARK-18908:
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Description:
If the logical plan fails to create, e.g., some Source options are invalid, the
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Shixiong Zhu updated SPARK-18908:
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Description:
If the logical plan fails to create, e.g., some options are invalid, the user
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Shixiong Zhu updated SPARK-18908:
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Priority: Blocker (was: Major)
> It's hard for the user to see the failure if StreamExecution
Shixiong Zhu created SPARK-18908:
Summary: It's hard for the user to see the failure if
StreamExecution fails to create the logical plan
Key: SPARK-18908
URL: https://issues.apache.org/jira/browse/SPARK-18908
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Shixiong Zhu updated SPARK-18908:
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Affects Version/s: 2.1.0
> It's hard for the user to see the failure if StreamExecution fails to
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Shixiong Zhu updated SPARK-18907:
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Priority: Minor (was: Major)
> Fix flaky test: o.a.s.sql.streaming.FileStreamSourceSuite max
Shixiong Zhu created SPARK-18907:
Summary: Fix flaky test: o.a.s.sql.streaming.FileStreamSourceSuite
max files per trigger - incorrect values
Key: SPARK-18907
URL:
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Apache Spark commented on SPARK-18031:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18031:
Assignee: Apache Spark (was: Shixiong Zhu)
> Flaky test:
>
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Apache Spark reassigned SPARK-18031:
Assignee: Shixiong Zhu (was: Apache Spark)
> Flaky test:
>
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Shixiong Zhu reassigned SPARK-18031:
Assignee: Shixiong Zhu
> Flaky test:
>
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Dongjoon Hyun commented on SPARK-18884:
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+1 for the idea!
> Support Array[_] in ScalaUDF
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Dongjoon Hyun commented on SPARK-18255:
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Hi, [~yhuai].
I have a question about HiveContext.
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Shixiong Zhu resolved SPARK-18904.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
> Merge two
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Nicholas Chammas commented on SPARK-18492:
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I'm hitting this problem as well when I try to apply
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Apache Spark reassigned SPARK-18877:
Assignee: Apache Spark
> Unable to read given csv data. Excepion:
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Apache Spark reassigned SPARK-18877:
Assignee: (was: Apache Spark)
> Unable to read given csv data. Excepion:
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Apache Spark commented on SPARK-18877:
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User 'dongjoon-hyun' has created a pull request for this
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Dongjoon Hyun updated SPARK-18877:
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Component/s: SQL
> Unable to read given csv data. Excepion:
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Kuba Tyszko edited comment on SPARK-18906 at 12/16/16 9:53 PM:
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Well, in
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Kuba Tyszko updated SPARK-18906:
Description:
Spark allows user to set a nullValue that will indicate certain value's
translation
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yuhao yang updated SPARK-18901:
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Component/s: ML
> Require in LR LogisticAggregator is redundant
>
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Apache Spark reassigned SPARK-18906:
Assignee: Apache Spark
> CSV parser should return null for empty (or with "") numeric
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Apache Spark commented on SPARK-18906:
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User 'kubatyszko' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18906:
Assignee: (was: Apache Spark)
> CSV parser should return null for empty (or with "")
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Kuba Tyszko commented on SPARK-18906:
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Well, in csv null can either be an empty field or in this case
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Kuba Tyszko updated SPARK-18906:
Description:
Spark allows user to set a nullValue that will indicate certain value's
translation
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Sean Owen commented on SPARK-18906:
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It sounds like you're saying your data has many types of "null" --
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Dongjoon Hyun commented on SPARK-18877:
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Yes. I reproduced the bug and found the root cause on
Kuba Tyszko created SPARK-18906:
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Summary: CSV parser should return null for empty (or with "")
numeric columns.
Key: SPARK-18906
URL: https://issues.apache.org/jira/browse/SPARK-18906
Project: Spark
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Ruslan Dautkhanov commented on SPARK-12837:
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Yep, we continue to see this issue in Spark 2..
>
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Sean Owen commented on SPARK-18898:
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Probably the same as SPARK-15955
> Exception not failing Scala
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Marcelo Vanzin resolved SPARK-17769.
Resolution: Fixed
Fix Version/s: 2.2.0
> Some FetchFailure refactoring in the
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Nan Zhu updated SPARK-18905:
Description:
the current implementation of Spark streaming considers a batch is completed no
matter the
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Nan Zhu updated SPARK-18905:
Description:
the current implementation of Spark streaming considers a batch is completed no
matter the
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Nan Zhu updated SPARK-18905:
Description:
the current implementation of Spark streaming considers a batch is completed no
matter the
Nan Zhu created SPARK-18905:
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Summary: Potential Issue of Semantics of BatchCompleted
Key: SPARK-18905
URL: https://issues.apache.org/jira/browse/SPARK-18905
Project: Spark
Issue Type: Bug
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Diogo Munaro Vieira commented on SPARK-18903:
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Hey Sean, I don't know a way to get what port
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Shixiong Zhu updated SPARK-18904:
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Priority: Minor (was: Trivial)
> Merge two FileStreamSourceSuite files
>
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Shixiong Zhu updated SPARK-18904:
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Priority: Trivial (was: Major)
> Merge two FileStreamSourceSuite files
>
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Apache Spark reassigned SPARK-18904:
Assignee: Apache Spark (was: Shixiong Zhu)
> Merge two FileStreamSourceSuite files
>
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Apache Spark reassigned SPARK-18904:
Assignee: Shixiong Zhu (was: Apache Spark)
> Merge two FileStreamSourceSuite files
>
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Apache Spark commented on SPARK-18904:
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User 'zsxwing' has created a pull request for this issue:
Shixiong Zhu created SPARK-18904:
Summary: Merge two FileStreamSourceSuite files
Key: SPARK-18904
URL: https://issues.apache.org/jira/browse/SPARK-18904
Project: Spark
Issue Type: Test
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Sean Owen commented on SPARK-18902:
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Oh, I missed DESCRIPTION. If that's the standard place to put it,
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Sean Owen commented on SPARK-18903:
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(Does it really need to be?)
> uiWebUrl is not accessible to
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Diogo Munaro Vieira updated SPARK-18903:
Description: Like https://issues.apache.org/jira/browse/SPARK-17437
uiWebUrl is
Diogo Munaro Vieira created SPARK-18903:
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Summary: uiWebUrl is not accessible to SparkR
Key: SPARK-18903
URL: https://issues.apache.org/jira/browse/SPARK-18903
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18902?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15755386#comment-15755386
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Shivaram Venkataraman commented on SPARK-18902:
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A couple of points
- We already include a
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https://issues.apache.org/jira/browse/SPARK-18902?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15755385#comment-15755385
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Shivaram Venkataraman commented on SPARK-18902:
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A couple of points
- We already include a
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https://issues.apache.org/jira/browse/SPARK-17073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15755367#comment-15755367
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Ioana Delaney commented on SPARK-17073:
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[~mikewzh] FYI, I ran the ANALYZE COMPUTE STATISTICS FOR
Shivaram Venkataraman created SPARK-18902:
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Summary: Include Apache License in R source Package
Key: SPARK-18902
URL: https://issues.apache.org/jira/browse/SPARK-18902
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-18648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15755317#comment-15755317
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Michel Lemay commented on SPARK-18648:
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It''s related because the path given to textFile is on a
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https://issues.apache.org/jira/browse/SPARK-18897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman updated SPARK-18897:
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Fix Version/s: (was: 2.1.0)
2.2.0
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https://issues.apache.org/jira/browse/SPARK-18897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman updated SPARK-18897:
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Assignee: Dongjoon Hyun
> Fix SparkR SQL Test to drop test table
>
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https://issues.apache.org/jira/browse/SPARK-18897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman resolved SPARK-18897.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.3
Issue
yuhao yang created SPARK-18901:
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Summary: Require in LR LogisticAggregator is redundant
Key: SPARK-18901
URL: https://issues.apache.org/jira/browse/SPARK-18901
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-18648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15755223#comment-15755223
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Sean Owen commented on SPARK-18648:
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That is unrelated though. It's an error from the path you pass to
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https://issues.apache.org/jira/browse/SPARK-16032?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15755221#comment-15755221
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Ryan Blue commented on SPARK-16032:
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+1
> Audit semantics of various insertion operations related to
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https://issues.apache.org/jira/browse/SPARK-16032?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16032.
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Resolution: Done
> Audit semantics of various insertion operations related to partitioned tables
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