Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/962#discussion_r14208312
--- Diff: core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
---
@@ -67,6 +67,12 @@ class TaskMetrics extends Serializable {
var diskBytesSpilled: Long = _
/**
+ * If this task reads from a HadoopRDD, from cached data, or from a
parallelized collection,
--- End diff --
Yeah I was thinking the reason Patrick said -- this is a problem I've seen
from folks running Spark in production, where even when their data is
in-memory, they see some stragglers due to reading differently sized partitions
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