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From hhbyyh <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-11898] [MLlib] Use broadcast for the gl...
Date Tue, 24 Nov 2015 08:40:27 GMT
Github user hhbyyh commented on a diff in the pull request:

    https://github.com/apache/spark/pull/9878#discussion_r45707914
  
    --- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
    @@ -315,13 +315,15 @@ class Word2Vec extends Serializable with Logging {
         val syn0Global =
           Array.fill[Float](vocabSize * vectorSize)((initRandom.nextFloat() - 0.5f) / vectorSize)
         val syn1Global = new Array[Float](vocabSize * vectorSize)
    +    val bcSyn0Global = sc.broadcast(syn0Global)
    --- End diff --
    
    Hi Joseph, actually I found broadcast variable can somehow automatically get updated...
    an example
    ```
    val arr = (0 to 16).toArray
        val bc = sc.broadcast(arr)
        val rdd = sc.parallelize(1 to 8)
        for(w <- 1 to 10){
          val result = rdd.map(i => bc.value(2)).collect().mkString(", ")
          println(result)
          arr(2) = new Random().nextInt()
        }
    ```


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