Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4899#discussion_r26038573
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/LDAExample.scala ---
@@ -174,6 +174,7 @@ object LDAExample {
// Get dataset of document texts
// One document per line in each text file.
+ // One partition each text file. Consider using coalesce as necessary.
--- End diff --
As long as we're documenting this, let's edit this a bit more. It's not
guaranteed that there will be a partition per text file. I'd say something more
like:
"If the input consists of many small files, this can result in a large
number of small partitions, which can degrade performance. In this case,
consider using coalesce() to create fewer, larger partitions."
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