Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/4899#discussion_r25885193 --- Diff: examples/src/main/scala/org/apache/spark/examples/mllib/LDAExample.scala --- @@ -174,7 +174,7 @@ object LDAExample { // Get dataset of document texts // One document per line in each text file. - val textRDD: RDD[String] = sc.textFile(paths.mkString(",")) + val textRDD: RDD[String] = sc.textFile(paths.mkString(",")).coalesce(sc.defaultParallelism) --- End diff -- I agree; this is a basic example. I like the idea of adding a note telling users they could coalesce if they run this on small documents in practice, but I don't think we should complicate the code too much. With one document per text file, the files could be pretty big; it just depends on document size.
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