[jira] [Commented] (SPARK-3623) Graph should support the checkpoint operation

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-3623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14156664#comment-14156664 ] 

Apache Spark commented on SPARK-3623:
-------------------------------------

User 'witgo' has created a pull request for this issue:
https://github.com/apache/spark/pull/2631

> Graph should support the checkpoint operation
> ---------------------------------------------
>
>                 Key: SPARK-3623
>                 URL: https://issues.apache.org/jira/browse/SPARK-3623
>             Project: Spark
>          Issue Type: Improvement
>          Components: GraphX
>    Affects Versions: 1.0.2, 1.1.0
>            Reporter: Guoqiang Li
>            Priority: Critical
>
> Consider the following code:
> {code}
>     for (i <- 0 until totalIter) {
>       val previousCorpus = corpus
>       logInfo("Start Gibbs sampling (Iteration %d/%d)".format(i, totalIter))
>       val corpusTopicDist = collectTermTopicDist(corpus, globalTopicCounter, sumTerms,
>         numTerms, numTopics, alpha, beta).persist(storageLevel)
>       val corpusSampleTopics = sampleTopics(corpusTopicDist, globalTopicCounter, sumTerms, numTerms,
>         numTopics, alpha, beta).persist(storageLevel)
>       corpus = updateCounter(corpusSampleTopics, numTopics).persist(storageLevel)
>       globalTopicCounter = collectGlobalCounter(corpus, numTopics)
>       assert(bsum(globalTopicCounter) == sumTerms)
>       previousCorpus.unpersistVertices()
>       corpusTopicDist.unpersistVertices()
>       corpusSampleTopics.unpersistVertices()
>     }
> {code}
> If there is no checkpoint operation will appear the following problems.
> 1. The RDD of corpus dependencies are too deep
> 2. The shuffle files are too large.
> 3. Any of a server crash will cause the algorithm to recalculate



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