[jira] [Updated] (SPARK-7483) [MLLib] Using Kryo with FPGrowth fails with an exception

2016-02-27 Thread Sean Owen (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-7483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen updated SPARK-7483:
-
Assignee: Mark Yang

> [MLLib] Using Kryo with FPGrowth fails with an exception
> 
>
> Key: SPARK-7483
> URL: https://issues.apache.org/jira/browse/SPARK-7483
> Project: Spark
>  Issue Type: Bug
>  Components: MLlib
>Affects Versions: 1.3.1
>Reporter: Tomasz Bartczak
>Assignee: Mark Yang
>Priority: Minor
> Fix For: 2.0.0
>
>
> When using FPGrowth algorithm with KryoSerializer - Spark fails with
> {code}
> Job aborted due to stage failure: Task 0 in stage 9.0 failed 1 times, most 
> recent failure: Lost task 0.0 in stage 9.0 (TID 16, localhost): 
> com.esotericsoftware.kryo.KryoException: java.lang.IllegalArgumentException: 
> Can not set final scala.collection.mutable.ListBuffer field 
> org.apache.spark.mllib.fpm.FPTree$Summary.nodes to 
> scala.collection.mutable.ArrayBuffer
> Serialization trace:
> nodes (org.apache.spark.mllib.fpm.FPTree$Summary)
> org$apache$spark$mllib$fpm$FPTree$$summaries 
> (org.apache.spark.mllib.fpm.FPTree)
> {code}
> This can be easily reproduced in spark codebase by setting 
> {code}
> conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
> {code} and running FPGrowthSuite.



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[jira] [Updated] (SPARK-7483) [MLLib] Using Kryo with FPGrowth fails with an exception

2016-02-11 Thread Xiangrui Meng (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-7483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiangrui Meng updated SPARK-7483:
-
Shepherd: Sean Owen

> [MLLib] Using Kryo with FPGrowth fails with an exception
> 
>
> Key: SPARK-7483
> URL: https://issues.apache.org/jira/browse/SPARK-7483
> Project: Spark
>  Issue Type: Bug
>  Components: MLlib
>Affects Versions: 1.3.1
>Reporter: Tomasz Bartczak
>Priority: Minor
>
> When using FPGrowth algorithm with KryoSerializer - Spark fails with
> {code}
> Job aborted due to stage failure: Task 0 in stage 9.0 failed 1 times, most 
> recent failure: Lost task 0.0 in stage 9.0 (TID 16, localhost): 
> com.esotericsoftware.kryo.KryoException: java.lang.IllegalArgumentException: 
> Can not set final scala.collection.mutable.ListBuffer field 
> org.apache.spark.mllib.fpm.FPTree$Summary.nodes to 
> scala.collection.mutable.ArrayBuffer
> Serialization trace:
> nodes (org.apache.spark.mllib.fpm.FPTree$Summary)
> org$apache$spark$mllib$fpm$FPTree$$summaries 
> (org.apache.spark.mllib.fpm.FPTree)
> {code}
> This can be easily reproduced in spark codebase by setting 
> {code}
> conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
> {code} and running FPGrowthSuite.



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[jira] [Updated] (SPARK-7483) [MLLib] Using Kryo with FPGrowth fails with an exception

2015-05-08 Thread Sean Owen (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-7483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen updated SPARK-7483:
-
Component/s: MLlib
   Priority: Minor  (was: Major)

 [MLLib] Using Kryo with FPGrowth fails with an exception
 

 Key: SPARK-7483
 URL: https://issues.apache.org/jira/browse/SPARK-7483
 Project: Spark
  Issue Type: Bug
  Components: MLlib
Affects Versions: 1.3.1
Reporter: Tomasz Bartczak
Priority: Minor

 When using FPGrowth algorithm with KryoSerializer - Spark fails with
 {code}
 Job aborted due to stage failure: Task 0 in stage 9.0 failed 1 times, most 
 recent failure: Lost task 0.0 in stage 9.0 (TID 16, localhost): 
 com.esotericsoftware.kryo.KryoException: java.lang.IllegalArgumentException: 
 Can not set final scala.collection.mutable.ListBuffer field 
 org.apache.spark.mllib.fpm.FPTree$Summary.nodes to 
 scala.collection.mutable.ArrayBuffer
 Serialization trace:
 nodes (org.apache.spark.mllib.fpm.FPTree$Summary)
 org$apache$spark$mllib$fpm$FPTree$$summaries 
 (org.apache.spark.mllib.fpm.FPTree)
 {code}
 This can be easily reproduced in spark codebase by setting 
 {code}
 conf.set(spark.serializer, org.apache.spark.serializer.KryoSerializer)
 {code} and running FPGrowthSuite.



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