[jira] [Created] (SPARK-18511) Add an api for join operation with just the column name and join type.

2016-11-19 Thread Shivansh (JIRA)
Shivansh created SPARK-18511:


 Summary: Add an api for join operation with just the column name 
and join type.
 Key: SPARK-18511
 URL: https://issues.apache.org/jira/browse/SPARK-18511
 Project: Spark
  Issue Type: New Feature
Affects Versions: 2.0.2
Reporter: Shivansh
Priority: Minor






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[jira] [Comment Edited] (SPARK-16599) java.util.NoSuchElementException: None.get at at org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:343)

2016-10-12 Thread Shivansh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-16599?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15570826#comment-15570826
 ] 

Shivansh edited comment on SPARK-16599 at 10/13/16 4:53 AM:


[~srowen], [~joshrosen]: Any updates on this issue ? We are also facing the 
same issue here. Can you please let us know what is the exact problem ?? We are 
using Cassandra as a store .


was (Author: shiv4nsh):
[~srowen], [~joshrosen]: Any updates on this issue ? We are also facing the 
same issue here. Can you please ket us know what is the exact problem ??

> java.util.NoSuchElementException: None.get  at at 
> org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:343)
> --
>
> Key: SPARK-16599
> URL: https://issues.apache.org/jira/browse/SPARK-16599
> Project: Spark
>  Issue Type: Bug
>Affects Versions: 2.0.0
> Environment: centos 6.7   spark 2.0
>Reporter: binde
>
> run a spark job with spark 2.0, error message
> Job aborted due to stage failure: Task 0 in stage 821.0 failed 4 times, most 
> recent failure: Lost task 0.3 in stage 821.0 (TID 1480, e103): 
> java.util.NoSuchElementException: None.get
>   at scala.None$.get(Option.scala:347)
>   at scala.None$.get(Option.scala:345)
>   at 
> org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:343)
>   at 
> org.apache.spark.storage.BlockManager.releaseAllLocksForTask(BlockManager.scala:644)
>   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:281)
>   at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>   at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>   at java.lang.Thread.run(Thread.java:745)



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[jira] [Commented] (SPARK-16599) java.util.NoSuchElementException: None.get at at org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:343)

2016-10-12 Thread Shivansh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-16599?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15570826#comment-15570826
 ] 

Shivansh commented on SPARK-16599:
--

[~srowen], [~joshrosen]: Any updates on this issue ? We are also facing the 
same issue here. Can you please ket us know what is the exact problem ??

> java.util.NoSuchElementException: None.get  at at 
> org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:343)
> --
>
> Key: SPARK-16599
> URL: https://issues.apache.org/jira/browse/SPARK-16599
> Project: Spark
>  Issue Type: Bug
>Affects Versions: 2.0.0
> Environment: centos 6.7   spark 2.0
>Reporter: binde
>
> run a spark job with spark 2.0, error message
> Job aborted due to stage failure: Task 0 in stage 821.0 failed 4 times, most 
> recent failure: Lost task 0.3 in stage 821.0 (TID 1480, e103): 
> java.util.NoSuchElementException: None.get
>   at scala.None$.get(Option.scala:347)
>   at scala.None$.get(Option.scala:345)
>   at 
> org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:343)
>   at 
> org.apache.spark.storage.BlockManager.releaseAllLocksForTask(BlockManager.scala:644)
>   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:281)
>   at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>   at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>   at java.lang.Thread.run(Thread.java:745)



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[jira] [Commented] (SPARK-17308) Replace all pattern match on boolean value by if/else block.

2016-08-30 Thread Shivansh (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-17308?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15448481#comment-15448481
 ] 

Shivansh commented on SPARK-17308:
--

[~srowen]: I have made the changes in the code already , should I make the PR 
for this ? 


> Replace all pattern match on boolean value by if/else block.
> 
>
> Key: SPARK-17308
> URL: https://issues.apache.org/jira/browse/SPARK-17308
> Project: Spark
>  Issue Type: Improvement
>  Components: Spark Core
>Affects Versions: 2.0.0
>Reporter: Shivansh
>Priority: Minor
>




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[jira] [Created] (SPARK-17308) Replace all pattern match on boolean value by if/else block.

2016-08-30 Thread Shivansh (JIRA)
Shivansh created SPARK-17308:


 Summary: Replace all pattern match on boolean value by if/else 
block.
 Key: SPARK-17308
 URL: https://issues.apache.org/jira/browse/SPARK-17308
 Project: Spark
  Issue Type: Improvement
  Components: Spark Core
Affects Versions: 2.0.0
Reporter: Shivansh
Priority: Minor






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[jira] [Updated] (SPARK-16911) Remove migrating from a Spark 1.x version in programming guide documentation

2016-08-05 Thread Shivansh (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-16911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shivansh updated SPARK-16911:
-
Summary: Remove migrating from a Spark 1.x version in programming guide 
documentation  (was: Fix broken links on the programming guide.)

> Remove migrating from a Spark 1.x version in programming guide documentation
> 
>
> Key: SPARK-16911
> URL: https://issues.apache.org/jira/browse/SPARK-16911
> Project: Spark
>  Issue Type: Documentation
>  Components: Documentation
>Affects Versions: 2.0.0
>Reporter: Shivansh
>Priority: Trivial
>




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[jira] [Updated] (SPARK-16911) Fix broken links on the programming guide.

2016-08-04 Thread Shivansh (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-16911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shivansh updated SPARK-16911:
-
Summary: Fix broken links on the programming guide.  (was: Fix broken liks 
on the programming guide.)

> Fix broken links on the programming guide.
> --
>
> Key: SPARK-16911
> URL: https://issues.apache.org/jira/browse/SPARK-16911
> Project: Spark
>  Issue Type: Documentation
>  Components: Documentation
>Affects Versions: 2.0.0
>Reporter: Shivansh
>Priority: Trivial
>




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[jira] [Created] (SPARK-16911) Fix broken liks on the programming guide.

2016-08-04 Thread Shivansh (JIRA)
Shivansh created SPARK-16911:


 Summary: Fix broken liks on the programming guide.
 Key: SPARK-16911
 URL: https://issues.apache.org/jira/browse/SPARK-16911
 Project: Spark
  Issue Type: Documentation
  Components: Documentation
Affects Versions: 2.0.0
Reporter: Shivansh
Priority: Trivial






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[jira] [Closed] (SPARK-16897) Invalid use of var where val can be used.

2016-08-04 Thread Shivansh (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-16897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shivansh closed SPARK-16897.

Resolution: Won't Fix

> Invalid use of var where val can be used.
> -
>
> Key: SPARK-16897
> URL: https://issues.apache.org/jira/browse/SPARK-16897
> Project: Spark
>  Issue Type: Documentation
>  Components: Documentation
>Affects Versions: 2.0.0
>Reporter: Shivansh
>Priority: Trivial
>
> Variable is defined as var when it can be used as val , and we should use val 
> in scala until or unless the var becomes necessary



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[jira] [Created] (SPARK-16897) Invalid use of var where val can be used.

2016-08-04 Thread Shivansh (JIRA)
Shivansh created SPARK-16897:


 Summary: Invalid use of var where val can be used.
 Key: SPARK-16897
 URL: https://issues.apache.org/jira/browse/SPARK-16897
 Project: Spark
  Issue Type: Documentation
  Components: Documentation
Affects Versions: 2.0.0
Reporter: Shivansh
Priority: Trivial


Variable is defined as var when it can be used as val , and we should use val 
in scala until or unless the var becomes necessary



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