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DB Tsai commented on SPARK-11332:
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[~srowen] Do you know how to assign to new users in JI
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DB Tsai updated SPARK-11332:
Assignee: (was: DB Tsai)
> WeightedLeastSquares should use ml features generic Instance class instead o
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Apache Spark reassigned SPARK-11332:
Assignee: Apache Spark (was: DB Tsai)
> WeightedLeastSquares should use ml features gener
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Apache Spark reassigned SPARK-11332:
Assignee: DB Tsai (was: Apache Spark)
> WeightedLeastSquares should use ml features gener
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Apache Spark commented on SPARK-11332:
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User 'nakul02' has created a pull request fo
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Apache Spark commented on SPARK-11313:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-11364:
Assignee: Apache Spark
> HadoopFsRelation doesn't reload the hadoop configuration for each
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Apache Spark commented on SPARK-11364:
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User 'chenghao-intel' has created a pull req
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Apache Spark reassigned SPARK-11364:
Assignee: (was: Apache Spark)
> HadoopFsRelation doesn't reload the hadoop configurati
Cheng Hao created SPARK-11364:
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Summary: HadoopFsRelation doesn't reload the hadoop configuration
for each execution
Key: SPARK-11364
URL: https://issues.apache.org/jira/browse/SPARK-11364
Project: Spark
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Xiangrui Meng resolved SPARK-11302.
---
Resolution: Fixed
Fix Version/s: 1.5.2
1.3.2
1.4.
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Xiangrui Meng updated SPARK-11302:
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Priority: Critical (was: Minor)
> Multivariate Gaussian Model with Covariance matrix returns
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Xiangrui Meng updated SPARK-11302:
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Assignee: Sean Owen
Affects Version/s: 1.6.0
1.3.1
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Apache Spark reassigned SPARK-11358:
Assignee: Apache Spark (was: Xiangrui Meng)
> Deprecate `runs` in k-means
> -
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Apache Spark commented on SPARK-11358:
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User 'mengxr' has created a pull request for
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Apache Spark reassigned SPARK-11358:
Assignee: Xiangrui Meng (was: Apache Spark)
> Deprecate `runs` in k-means
> -
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Xusen Yin commented on SPARK-11337:
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I want to add new sub-tasks. How to assign the wor
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Apache Spark commented on SPARK-11354:
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User 'yongjiaw' has created a pull request f
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Xiangrui Meng updated SPARK-10324:
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Description:
Following SPARK-8445, we created this master list for MLlib features we plan to
h
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Xiangrui Meng updated SPARK-10324:
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Description:
Following SPARK-8445, we created this master list for MLlib features we plan to
h
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Apache Spark reassigned SPARK-11336:
Assignee: Apache Spark (was: Xusen Yin)
> Include a link to the source file in generated
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Apache Spark reassigned SPARK-11336:
Assignee: Xusen Yin (was: Apache Spark)
> Include a link to the source file in generated
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Apache Spark commented on SPARK-11336:
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User 'yinxusen' has created a pull request f
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Apache Spark reassigned SPARK-11363:
Assignee: Apache Spark
> LeftSemiJoin should be LeftSemi in SparkStrategies
>
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Apache Spark reassigned SPARK-11363:
Assignee: (was: Apache Spark)
> LeftSemiJoin should be LeftSemi in SparkStrategies
> -
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Apache Spark commented on SPARK-11363:
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User 'viirya' has created a pull request for
Liang-Chi Hsieh created SPARK-11363:
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Summary: LeftSemiJoin should be LeftSemi in SparkStrategies
Key: SPARK-11363
URL: https://issues.apache.org/jira/browse/SPARK-11363
Project: Spark
Issu
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Apache Spark reassigned SPARK-10827:
Assignee: (was: Apache Spark)
> AppClient should not use `askWithReply` in `receiveAnd
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Apache Spark commented on SPARK-10827:
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User 'BryanCutler' has created a pull reques
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Apache Spark reassigned SPARK-10827:
Assignee: Apache Spark
> AppClient should not use `askWithReply` in `receiveAndReply` dire
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Xiangrui Meng updated SPARK-10953:
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Summary: Benchmark declarative/codegen vs. imperative code for univariate
statistics (was: Ben
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Apache Spark reassigned SPARK-11362:
Assignee: (was: Apache Spark)
> Use Spark BitSet in BroadcastNestedLoopJoin
>
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Apache Spark reassigned SPARK-11362:
Assignee: Apache Spark
> Use Spark BitSet in BroadcastNestedLoopJoin
> ---
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Apache Spark commented on SPARK-11362:
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User 'viirya' has created a pull request for
Liang-Chi Hsieh created SPARK-11362:
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Summary: Use Spark BitSet in BroadcastNestedLoopJoin
Key: SPARK-11362
URL: https://issues.apache.org/jira/browse/SPARK-11362
Project: Spark
Issue Type:
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Yin Huai resolved SPARK-10484.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 8652
[https://github.com/a
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Yin Huai updated SPARK-10484:
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Assignee: Cheng Hao
> [Spark SQL] Come across lost task(timeout) or GC OOM error when two tables
> do c
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Tathagata Das updated SPARK-11361:
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Description:
Currently, when a DStream sets the scope for RDD generated by it, that scope is
n
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Apache Spark reassigned SPARK-11361:
Assignee: Apache Spark (was: Tathagata Das)
> Show scopes of RDD operations inside DStrea
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Apache Spark reassigned SPARK-11361:
Assignee: Tathagata Das (was: Apache Spark)
> Show scopes of RDD operations inside DStrea
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Apache Spark commented on SPARK-11361:
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User 'tdas' has created a pull request for t
Tathagata Das created SPARK-11361:
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Summary: Show scopes of RDD operations inside DStream.foreachRDD
and DStream.transform in DAG viz
Key: SPARK-11361
URL: https://issues.apache.org/jira/browse/SPARK-11361
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Cheng Hao edited comment on SPARK-11330 at 10/28/15 2:28 AM:
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Cheng Hao commented on SPARK-11330:
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Hi, [~saif.a.ellafi], I've tried the code like bel
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Christian Kadner commented on SPARK-4836:
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Hi [~joshrosen], is this still a proble
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Apache Spark reassigned SPARK-11360:
Assignee: (was: Apache Spark)
> Loss of nullability when writing parquet files
> -
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Apache Spark reassigned SPARK-11360:
Assignee: Apache Spark
> Loss of nullability when writing parquet files
>
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Apache Spark commented on SPARK-11360:
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User 'gatorsmile' has created a pull request
Xiao Li created SPARK-11360:
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Summary: Loss of nullability when writing parquet files
Key: SPARK-11360
URL: https://issues.apache.org/jira/browse/SPARK-11360
Project: Spark
Issue Type: Documentatio
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hujiayin updated SPARK-11200:
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Comment: was deleted
(was: sparkscore found it happened since commit number cf2e0ae7 and resolved
today.
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swetha k commented on SPARK-3655:
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[~koert]
Does this use a custom partitioner to make su
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Kay Ousterhout updated SPARK-11178:
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Affects Version/s: (was: 1.5.1)
> Improve naming around task failures in scheduler code
>
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Kay Ousterhout resolved SPARK-11178.
Resolution: Fixed
Fix Version/s: 1.6.0
> Improve naming around task failures in sche
Tathagata Das created SPARK-11359:
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Summary: Kinesis receiver does not checkpoint to DynamoDB if there
is no new data.
Key: SPARK-11359
URL: https://issues.apache.org/jira/browse/SPARK-11359
Project:
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Tathagata Das resolved SPARK-11212.
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Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 1.6.0
> Make RDD's pr
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Tathagata Das resolved SPARK-11324.
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Resolution: Fixed
Assignee: Burak Yavuz
Fix Version/s: 1.6.0
> Flag to close
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Apache Spark reassigned SPARK-10658:
Assignee: Apache Spark
> Could pyspark provide addJars() as scala spark API?
> --
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Xiangrui Meng updated SPARK-11358:
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Component/s: (was: MLilb)
MLlib
> Deprecate `runs` in k-means
> --
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Apache Spark reassigned SPARK-10658:
Assignee: (was: Apache Spark)
> Could pyspark provide addJars() as scala spark API?
>
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Apache Spark commented on SPARK-10658:
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User 'holdenk' has created a pull request fo
Xiangrui Meng created SPARK-11358:
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Summary: Deprecate `runs` in k-means
Key: SPARK-11358
URL: https://issues.apache.org/jira/browse/SPARK-11358
Project: Spark
Issue Type: Improvement
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Nina Pakhomova commented on SPARK-11357:
[~srowen], I used wrong jar indeed. Sorr
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Nina Pakhomova closed SPARK-11357.
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Resolution: Invalid
> Building Spark with maven doesn't add to spark-network-yarn_2.10-XXX.jar
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Apache Spark commented on SPARK-10592:
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User 'vectorijk' has created a pull request
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Apache Spark reassigned SPARK-10592:
Assignee: Apache Spark
> deprecate weights and use coefficients instead in ML models
> ---
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Apache Spark reassigned SPARK-10592:
Assignee: (was: Apache Spark)
> deprecate weights and use coefficients instead in ML m
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Sean Owen updated SPARK-11357:
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Target Version/s: (was: 1.6.0)
[~npakhomova] please read
https://cwiki.apache.org/confluence/display
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Nina Pakhomova commented on SPARK-11357:
And no spark--yarn-shuffle.jar is produc
Nina Pakhomova created SPARK-11357:
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Summary: Building Spark with maven doesn't add to
spark-network-yarn_2.10-XXX.jar all necessary classes.
Key: SPARK-11357
URL: https://issues.apache.org/jira/browse/SPARK-113
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Yu Gao commented on SPARK-10181:
No problem. Please try out the changes in the second pul
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Xiangrui Meng updated SPARK-10024:
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Target Version/s: 1.6.0
> Python API RF and GBT related params clear up
> -
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holdenk commented on SPARK-10658:
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So this turns out be a bit complicated because of a va
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Xiangrui Meng resolved SPARK-10024.
---
Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9233
[https://gi
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Xiangrui Meng updated SPARK-10024:
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Assignee: Kai Jiang
> Python API RF and GBT related params clear up
> -
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Bilind Hajer commented on SPARK-9492:
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So is there no other way to get coefficients fr
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Apache Spark commented on SPARK-11302:
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User 'srowen' has created a pull request for
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Yin Huai resolved SPARK-11347.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9300
[https://github.com/a
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Apache Spark commented on SPARK-10707:
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User 'mbautin' has created a pull request fo
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Apache Spark commented on SPARK-10309:
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User 'davies' has created a pull request for
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Davies Liu reassigned SPARK-10309:
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Assignee: Davies Liu
> Some tasks failed with Unable to acquire memory
> -
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holdenk commented on SPARK-11239:
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Pretty much, I've got a draft PR out for it but I'm wa
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Bolke de Bruin closed SPARK-9887.
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Was duplicate.
> After recent hive patches PySpark fails with IllegalArgumentException: Wrong
> FS:
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Bolke de Bruin commented on SPARK-10181:
I will apply it too our install if it wo
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Bolke de Bruin edited comment on SPARK-10181 at 10/27/15 7:16 PM:
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).parquet("some_location")
> {code}
> App 2 - example
> {code}
> sqlContext.read.parquet("some_location").registerTempTable("t")
> sqlContext.sql("select * from t where day = 20151027").count()
> {code}
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This message was sent by Atlassian JIRA
(v
;some_location")
> {code}
> App 2 - example
> {code}
> sqlContext.read.parquet("some_location").registerTempTable("t")
> sqlContext.sql("select * from t where day = 20151027").count()
> {code}
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(v
appen ?
App 1 - periodically (eg. every hour)
{code}
df.write.partitionBy("day").mode("append").parquet("some_location")
{code}
App 2 - example
{code}
sqlContext.read.parquet("some_location").registerTempTable("t")
sqlContext.sql("select *
quot;).mode("append").parquet("some_location")
> {code}
> App 2
> {code}
> sqlContext.read.parquet("some_location").registerTempTable("t")
> sqlContext.sql("select * from t where day = 20151027").count()
> {code}
--
This message wa
p 2
{code}
sqlContext.read.parquet("some_location").registerTempTable("t")
sqlContext.sql("select * from t where day = 20151027").count()
{code}
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(v6.3.4#6332)
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https://issues.apache.org/jira/browse/SPARK-11270?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tathagata Das resolved SPARK-11270.
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Resolution: Fixed
Fix Version/s: 1.6.0
1.5.3
> Add improved equalit
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https://issues.apache.org/jira/browse/SPARK-8546?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-8546:
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Assignee: Apache Spark (was: Xusen Yin)
> PMML export for Naive Bayes
>
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https://issues.apache.org/jira/browse/SPARK-8546?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-8546:
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Assignee: Xusen Yin (was: Apache Spark)
> PMML export for Naive Bayes
>
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https://issues.apache.org/jira/browse/SPARK-8546?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14976879#comment-14976879
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Apache Spark commented on SPARK-8546:
-
User 'yinxusen' has created a pull request for
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https://issues.apache.org/jira/browse/SPARK-6488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-6488.
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Resolution: Fixed
Fix Version/s: 1.6.0
Issue resolved by pull request 9139
[https://githu
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https://issues.apache.org/jira/browse/SPARK-11346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14976854#comment-14976854
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Marcelo Vanzin commented on SPARK-11346:
It sounds to me like you're running the
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https://issues.apache.org/jira/browse/SPARK-11255?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14976850#comment-14976850
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shane knapp commented on SPARK-11255:
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this all sounds good. to make things easier,
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https://issues.apache.org/jira/browse/SPARK-11355?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-11355.
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Resolution: Cannot Reproduce
I can't reproduce this, and it looks like a failure from within the comp
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https://issues.apache.org/jira/browse/SPARK-11354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mark Grover updated SPARK-11354:
Description:
Spark uses log4j, which is very flexible. However, on the executor page in
standalone
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https://issues.apache.org/jira/browse/SPARK-11306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kay Ousterhout resolved SPARK-11306.
Resolution: Fixed
Fix Version/s: 1.6.0
> Executor JVM loss can lead to a hang in Sta
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https://issues.apache.org/jira/browse/SPARK-11354?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-11354:
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Priority: Minor (was: Major)
> Expose custom log4j to executor page in Spark standalone cluster
> ---
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