Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4899#discussion_r25859286
--- 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 --
That seems reasonable, but as this is a basic example, is it necessary or
desirable to always introduce a shuffle here? what if the files aren't
numerous, or are large?
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