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From: JoshRosen <git@git.apache.org>
To: reviews@spark.apache.org
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References: <git-pr-3794-spark@git.apache.org>
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Subject: [GitHub] spark pull request: [SPARK-4961] [CORE] Put
 HadoopRDD.getPartition...
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Message-Id: <20141229194842.C80AD9D05AA@tyr.zones.apache.org>
Date: Mon, 29 Dec 2014 19:48:42 +0000 (UTC)

Github user JoshRosen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/3794#discussion_r22325585
  
    --- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
    @@ -203,9 +204,27 @@ class HadoopRDD[K, V](
         for (i <- 0 until inputSplits.size) {
           array(i) = new HadoopPartition(id, i, inputSplits(i))
         }
    +    logDebug("Get these partitions took %f s".format((System.nanoTime - start) / 1e9))
         array
       }
     
    +  @transient private var thesePartitions_ : Array[Partition] = {
    +    try {
    +      getThesePartitions()
    +    } catch {
    +      case e: Exception => 
    +        logDebug("Error initializing HadoopRDD's partitions", e)
    +        null
    --- End diff --
    
    (This comment is kind of moot since I proposed a more general fix in a top-level comment, but I'll still post it anyways:)
    
    I don't think that logging an exception at debug level then returning `null` is a good error-handling strategy; this is likely to cause a confusing NPE somewhere else with no obvious cause since most users won't have debug-level logging enabled.


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