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https://issues.apache.org/jira/browse/SPARK-1980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

zhoudi updated SPARK-1980:
--------------------------

    Description: 
i am writing a word embedding on SPARK. The scale of the model is about 60w * 
100  * Float.size. Because of the large scale, I have to use broadcast to 
deliver the current model to executors. After each iteration, I would update 
the model, and then broadcast it again. The pseudo-code is as follows,

for (i <- 0 to 100) {
    broadcast_model <- broadcast(model)
    e_model = xxx.map(Func(broadcast_model)) // handle of broadcast_model to 
Func
                          .reduce(_ + _)

    model <- model + e_model
}



My problem is that an Error would come out after six iteration. The Error Info 
is as follows,

./bin/spark-submit: line 44: 28232 killed                    
$SPARK_HOME/bin/spark-class org.apache.spark.deploy.Spark "${ORIG_ARGS[@]}"     
   





  was:i am writing a word embedding on SPARK. The scale of the model is about 
60w * 100  * Float.size. 


> problems introduced by broadcast
> --------------------------------
>
>                 Key: SPARK-1980
>                 URL: https://issues.apache.org/jira/browse/SPARK-1980
>             Project: Spark
>          Issue Type: Bug
>            Reporter: zhoudi
>
> i am writing a word embedding on SPARK. The scale of the model is about 60w * 
> 100  * Float.size. Because of the large scale, I have to use broadcast to 
> deliver the current model to executors. After each iteration, I would update 
> the model, and then broadcast it again. The pseudo-code is as follows,
> for (i <- 0 to 100) {
>     broadcast_model <- broadcast(model)
>     e_model = xxx.map(Func(broadcast_model)) // handle of broadcast_model to 
> Func
>                           .reduce(_ + _)
>     model <- model + e_model
> }
> My problem is that an Error would come out after six iteration. The Error 
> Info is as follows,
> ./bin/spark-submit: line 44: 28232 killed                    
> $SPARK_HOME/bin/spark-class org.apache.spark.deploy.Spark "${ORIG_ARGS[@]}"   
>      



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