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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/09 00:37:12 UTC
[jira] [Commented] (SPARK-6752) Allow StreamingContext to be
recreated from checkpoint and existing SparkContext
[ https://issues.apache.org/jira/browse/SPARK-6752?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14486228#comment-14486228 ]
Apache Spark commented on SPARK-6752:
-------------------------------------
User 'tdas' has created a pull request for this issue:
https://github.com/apache/spark/pull/5428
> Allow StreamingContext to be recreated from checkpoint and existing SparkContext
> --------------------------------------------------------------------------------
>
> Key: SPARK-6752
> URL: https://issues.apache.org/jira/browse/SPARK-6752
> Project: Spark
> Issue Type: Improvement
> Components: Streaming
> Affects Versions: 1.1.1, 1.2.1, 1.3.1
> Reporter: Tathagata Das
> Assignee: Tathagata Das
> Priority: Critical
>
> Currently if you want to create a StreamingContext from checkpoint information, the system will create a new SparkContext. This prevent StreamingContext to be recreated from checkpoints in managed environments where SparkContext is precreated.
> Proposed solution: Introduce the following methods on StreamingContext
> 1. {{new StreamingContext(checkpointDirectory, sparkContext)}}
> - Recreate StreamingContext from checkpoint using the provided SparkContext
> 2. {{new StreamingContext(checkpointDirectory, hadoopConf, sparkContext)}}
> - Recreate StreamingContext from checkpoint using the provided SparkContext and hadoop conf to read the checkpoint
> 3. {{StreamingContext.getOrCreate(checkpointDirectory, sparkContext, createFunction: SparkContext => StreamingContext)}}
> - If checkpoint file exists, then recreate StreamingContext using the provided SparkContext (that is, call 1.), else create StreamingContext using the provided createFunction
> Also, the corresponding Java and Python API has to be added as well.
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