[jira] [Commented] (SPARK-6752) Allow StreamingContext to be recreated from checkpoint and existing SparkContext

["Tathagata Das (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6752?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14540679#comment-14540679 ] 

Tathagata Das commented on SPARK-6752:
--------------------------------------

I am revising this feature. The earlier version passed the active SparkContext explicitly through a new set of Java and Scala API. The drawbacks are.
1. Hard to implement in python. 
2. New API introduced. This is even more confusing since we are introducing {{getActiveOrCreate}} in SPARK-7553

Furthermore, there is now a direct way get an existing active SparkContext or create a new on - {{SparkContext.getOrCreate(conf)}}. Its better to use this to get the SparkContext rather than have a new API to explicitly pass the context.


> 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
>             Fix For: 1.4.0
>
>
> 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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