[jira] [Assigned] (SPARK-22606) There may be two or more tasks in one executor will use the same kafka consumer at the same time, then it will throw an exception: "KafkaConsumer is not safe for multi-

2017-11-25 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-22606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22606:


Assignee: (was: Apache Spark)

> There may be two or more tasks in one executor will use the same kafka 
> consumer at the same time, then it will throw an exception: "KafkaConsumer is 
> not safe for multi-threaded access" 
> -
>
> Key: SPARK-22606
> URL: https://issues.apache.org/jira/browse/SPARK-22606
> Project: Spark
>  Issue Type: Bug
>  Components: Structured Streaming
>Affects Versions: 2.2.0
>Reporter: eaton
>Priority: Minor
>
> If the value of param 'spark.streaming.concurrentJobs' is more than one, and 
> the value of param 'spark.executor.cores' is more than one, there may be two 
> or more tasks in one executor will use the same kafka consumer at the same 
> time, then it will throw an exception: "KafkaConsumer is not safe for 
> multi-threaded access" 



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[jira] [Assigned] (SPARK-22606) There may be two or more tasks in one executor will use the same kafka consumer at the same time, then it will throw an exception: "KafkaConsumer is not safe for multi-

2017-11-25 Thread Apache Spark (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-22606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22606:


Assignee: Apache Spark

> There may be two or more tasks in one executor will use the same kafka 
> consumer at the same time, then it will throw an exception: "KafkaConsumer is 
> not safe for multi-threaded access" 
> -
>
> Key: SPARK-22606
> URL: https://issues.apache.org/jira/browse/SPARK-22606
> Project: Spark
>  Issue Type: Bug
>  Components: Structured Streaming
>Affects Versions: 2.2.0
>Reporter: eaton
>Assignee: Apache Spark
>Priority: Minor
>
> If the value of param 'spark.streaming.concurrentJobs' is more than one, and 
> the value of param 'spark.executor.cores' is more than one, there may be two 
> or more tasks in one executor will use the same kafka consumer at the same 
> time, then it will throw an exception: "KafkaConsumer is not safe for 
> multi-threaded access" 



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