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https://issues.apache.org/jira/browse/SPARK-18735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15724620#comment-15724620
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Sean Owen commented on SPARK-18735:
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Should be because they are used in a computation that produces a simple value
on the driver, not an RDD. Problem 2 is not an issue in this context.
> Why don't we destroy the broadcast variable after each iteration?
> -----------------------------------------------------------------
>
> Key: SPARK-18735
> URL: https://issues.apache.org/jira/browse/SPARK-18735
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 2.0.2
> Reporter: Jianfei Wang
>
> I think we should destroy the broadcast variable bcWeights explicitly in
> spark.mllib.GradientDescent.runMiniBatchSGD
> see the code below:
> while (!converged && i <= numIterations) {
> val start = System.nanoTime()
> val bcWeights = data.context.broadcast(weights)
> // some other code
> }
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