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Prabin Banka commented on SPARK-18128:
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[~holdenk] I have deleted my pyspark registration from PyPi.
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Apache Spark reassigned SPARK-17495:
Assignee: Tejas Patil (was: Apache Spark)
> Hive hash implementation
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Apache Spark reassigned SPARK-18081:
Assignee: Apache Spark (was: Yun Ni)
> Locality Sensitive Hashing (LSH) User Guide
>
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Apache Spark reassigned SPARK-17495:
Assignee: Apache Spark (was: Tejas Patil)
> Hive hash implementation
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Apache Spark reassigned SPARK-18081:
Assignee: Yun Ni (was: Apache Spark)
> Locality Sensitive Hashing (LSH) User Guide
>
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Apache Spark commented on SPARK-18081:
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User 'Yunni' has created a pull request for this issue:
Tao Wang created SPARK-18298:
Summary: HistoryServer use GMT time all time
Key: SPARK-18298
URL: https://issues.apache.org/jira/browse/SPARK-18298
Project: Spark
Issue Type: Bug
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liujianhui commented on SPARK-18225:
yes,saisai shao,you know what i mean. I agree with you that it
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Reynold Xin resolved SPARK-18296.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Use consistent naming for expression test suites
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Reynold Xin reopened SPARK-18167:
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Assignee: (was: Eric Liang)
This is unfortunately still flaky. Reopening it.
> Flaky
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liuhongqiang updated SPARK-18297:
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Description:
program:
public static void main(String[] args) {
liuhongqiang created SPARK-18297:
Summary: Fail if SparkContext run a new Thread in yarn-cluster
Key: SPARK-18297
URL: https://issues.apache.org/jira/browse/SPARK-18297
Project: Spark
Issue
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inred commented on SPARK-18263:
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"C:\Program Files\Java\jdk1.8.0_92\bin\java" -Didea.launcher.port=7532
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inred edited comment on SPARK-18263 at 11/7/16 5:44 AM:
def main(args:
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inred updated SPARK-18263:
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Summary: Configuring spark.kryo.registrator programmatically doesn't take
effect (was: Configuring the
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zhengruifeng edited comment on SPARK-14174 at 11/7/16 4:49 AM:
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In
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zhengruifeng commented on SPARK-14174:
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In addition, MiniBatch EM can also be used in MixtureModels.
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Jayadevan M commented on SPARK-16894:
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[~kapilsingh5050]
Can you tell me the use case for this
>
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inred edited comment on SPARK-18263 at 11/7/16 3:50 AM:
No, the object is
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inred edited comment on SPARK-18263 at 11/7/16 3:49 AM:
no, the object is
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inred commented on SPARK-18263:
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no, the object is serializable
E:\app\wc\target\scala-2.11>SparkSubmit
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inred updated SPARK-18263:
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Summary: Configuring the serializer programmatically failed in IDE (was:
configures the serializer failed in
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Apache Spark commented on SPARK-15659:
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User 'smallyard' has created a pull request for this issue:
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Apache Spark commented on SPARK-16283:
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User 'lw-lin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18296:
Assignee: Reynold Xin (was: Apache Spark)
> Use consistent naming for expression test
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Apache Spark commented on SPARK-18296:
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User 'rxin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18296:
Assignee: Apache Spark (was: Reynold Xin)
> Use consistent naming for expression test
Reynold Xin created SPARK-18296:
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Summary: Use consistent naming for expression test suites
Key: SPARK-18296
URL: https://issues.apache.org/jira/browse/SPARK-18296
Project: Spark
Issue Type:
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Reynold Xin updated SPARK-18278:
Flags: (was: Important)
> Support native submission of spark jobs to a kubernetes cluster
>
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Reynold Xin updated SPARK-18278:
Target Version/s: (was: 2.2.0)
> Support native submission of spark jobs to a kubernetes cluster
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Reynold Xin updated SPARK-18278:
Affects Version/s: (was: 2.2.0)
> Support native submission of spark jobs to a kubernetes
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Reynold Xin resolved SPARK-18173.
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Resolution: Fixed
Fix Version/s: 2.1.0
> data source tables should support truncating
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Apache Spark reassigned SPARK-18295:
Assignee: Apache Spark
> Match up to_json to from_json in null safety
>
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Apache Spark commented on SPARK-18295:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-18295:
Assignee: (was: Apache Spark)
> Match up to_json to from_json in null safety
>
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Reynold Xin resolved SPARK-18269.
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Resolution: Fixed
Assignee: Hyukjin Kwon
Fix Version/s: 2.1.0
>
Hyukjin Kwon created SPARK-18295:
Summary: Match up to_json to from_json in null safety
Key: SPARK-18295
URL: https://issues.apache.org/jira/browse/SPARK-18295
Project: Spark
Issue Type: Bug
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William Benton edited comment on SPARK-18278 at 11/7/16 2:27 AM:
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William Benton commented on SPARK-18278:
[~srowen] Currently {{ExternalClusterManager}} is
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Krishna Kalyan commented on SPARK-11222:
[~holdenk] could you please point to an example in the
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Alan Roche resolved SPARK-18293.
Resolution: Not A Problem
Thanks Sean. You are right, - a run-time problem indeed, - which as
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Apache Spark reassigned SPARK-18264:
Assignee: Apache Spark
> Package R vignettes
> ---
>
>
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Apache Spark commented on SPARK-18264:
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User 'felixcheung' has created a pull request for this
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Apache Spark reassigned SPARK-18264:
Assignee: (was: Apache Spark)
> Package R vignettes
> ---
>
>
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Elkhan Dadashov commented on SPARK-18288:
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Actually in while and if statements I already call
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Elkhan Dadashov updated SPARK-18288:
Comment: was deleted
(was: Actually in while and if statements I already call getState(),
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Elkhan Dadashov commented on SPARK-18288:
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Actually in while and if statements I already call
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Yanbo Liang resolved SPARK-18210.
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Resolution: Fixed
Assignee: Wojciech Szymanski
Fix Version/s: 2.1.0
>
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Yanbo Liang updated SPARK-18291:
Description:
SparkR spark.glm predict should output original label when family = "binomial".
For
Jiang Xingbo created SPARK-18294:
Summary: Implement commit protocol to support `mapred` package's
committer
Key: SPARK-18294
URL: https://issues.apache.org/jira/browse/SPARK-18294
Project: Spark
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Aleksey Ponkin edited comment on SPARK-18252 at 11/6/16 2:32 PM:
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Aleksey Ponkin commented on SPARK-18252:
Sure, with great pleasure)
> Improve serialized
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Sean Owen commented on SPARK-18278:
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I think ideally this should live outside Spark. Several
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Sean Owen commented on SPARK-18252:
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[~ponkin] do you want to try replacing the custom BitArray class
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Sean Owen resolved SPARK-18289.
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Resolution: Duplicate
> spark.util.collection.ExternalSorter leak memory when task force spilling
>
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Sean Owen resolved SPARK-17854.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15432
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Sean Owen updated SPARK-17854:
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Assignee: Hyukjin Kwon
Summary: rand(null) should be supported (was: it will failed when do
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Sean Owen commented on SPARK-18293:
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This is a Scala version mismatch. It is probably not your
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Sean Owen commented on SPARK-18288:
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OK it's a little clearer, but if anything aren't you suggesting
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Alan Roche updated SPARK-18293:
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Attachment: spark-kinesis-app-deps.txt
> Spark Kinesis Streaming exits on NoSuchMethodError
>
Alan Roche created SPARK-18293:
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Summary: Spark Kinesis Streaming exits on NoSuchMethodError
Key: SPARK-18293
URL: https://issues.apache.org/jira/browse/SPARK-18293
Project: Spark
Issue Type:
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Sean Owen resolved SPARK-18290.
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Resolution: Invalid
> ucnjijetul
> --
>
> Key: SPARK-18290
>
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Dongjoon Hyun updated SPARK-18292:
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Description:
`LogicalPlanToSQLSuite` uses the following command to update the existing
answer
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Elkhan Dadashov commented on SPARK-18288:
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Sorry, in edit view it was showing formatted. Fixed it
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Elkhan Dadashov updated SPARK-18288:
Description:
I'm running Spark 2.0.1 version with Spark Launcher 2.0.1 version on Yarn
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Elkhan Dadashov updated SPARK-18288:
Description:
I'm running Spark 2.0.1 version with Spark Launcher 2.0.1 version on Yarn
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Elkhan Dadashov updated SPARK-18288:
Description:
I'm running Spark 2.0.1 version with Spark Launcher 2.0.1 version on Yarn
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Apache Spark commented on SPARK-18292:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-18292:
Assignee: (was: Apache Spark)
> LogicalPlanToSQLSuite should not use resource
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Apache Spark reassigned SPARK-18292:
Assignee: Apache Spark
> LogicalPlanToSQLSuite should not use resource dependent path for
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Dongjoon Hyun updated SPARK-18292:
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Affects Version/s: 2.0.1
Component/s: SQL
> LogicalPlanToSQLSuite should not use
Dongjoon Hyun created SPARK-18292:
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Summary: LogicalPlanToSQLSuite should not use resource dependent
path for golden file generation
Key: SPARK-18292
URL: https://issues.apache.org/jira/browse/SPARK-18292
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Yanbo Liang updated SPARK-18291:
Description:
SparkR spark.glm predict should output original label when family = "binomial".
For
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Yanbo Liang updated SPARK-18291:
Description:
SparkR glm predict should output original label when family = "binomial".
For
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Yanbo Liang updated SPARK-18291:
Description:
SparkR glm predict should output original label when family = "binomial".
For
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Yanbo Liang updated SPARK-18291:
Description:
SparkR glm predict should output original label when family = "binomial".
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https://issues.apache.org/jira/browse/SPARK-18291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15641240#comment-15641240
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Apache Spark commented on SPARK-18291:
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User 'yanboliang' has created a pull request for this issue:
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Apache Spark reassigned SPARK-18291:
Assignee: Apache Spark
> SparkR glm predict should output original label when family =
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Apache Spark reassigned SPARK-18291:
Assignee: (was: Apache Spark)
> SparkR glm predict should output original label when
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https://issues.apache.org/jira/browse/SPARK-18286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15641238#comment-15641238
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Jiayue Zhang commented on SPARK-18286:
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Really sorry that I forgot to check here first
> Add
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