Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/6901#discussion_r32868371
--- Diff: docs/programming-guide.md ---
@@ -1144,9 +1144,11 @@ generate these on the reduce side. When data does
not fit in memory Spark will s
to disk, i
Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/6901#discussion_r32867731
--- Diff: docs/programming-guide.md ---
@@ -1144,9 +1144,11 @@ generate these on the reduce side. When data does
not fit in memory Spark will s
to disk, inc
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/6901#discussion_r32857157
--- Diff: docs/programming-guide.md ---
@@ -1144,9 +1144,11 @@ generate these on the reduce side. When data does
not fit in memory Spark will s
to disk, i
Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/6901#discussion_r32855391
--- Diff: docs/programming-guide.md ---
@@ -1144,9 +1144,11 @@ generate these on the reduce side. When data does
not fit in memory Spark will s
to disk, inc
Github user asfgit closed the pull request at:
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/6901#issuecomment-113592294
LGTM. Eventually we want to address this behavior by forcing a periodic GC
(once every 30 minutes or something should be inexpensive). For now this is a
better descri
Github user AmplabJenkins commented on the pull request:
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GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/6901
[SPARK-5836] [DOCS] [STREAMING] Clarify what may cause long-running Spark
apps to preserve shuffle files
Clarify what may cause long-running Spark apps to preserve shuffle files
You can merge this p
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