Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/3107#discussion_r20060674
--- Diff: docs/configuration.md ---
@@ -563,8 +566,8 @@ Apart from these, the following properties are also
available, and may be useful
</ul>
</td>
<td>
- Default number of tasks to use across the cluster for distributed
shuffle operations
- (<code>groupByKey</code>, <code>reduceByKey</code>, etc) when not set
by user.
+ Default number of output partitions for operations like
<code>join</code>,
--- End diff --
My thinking was that Spark's APIs have no mention of the concept of a
"shuffle partition" (e.g. the term is referenced nowhere on
https://spark.apache.org/docs/latest/programming-guide.html), but even novice
Spark users are meant to understand that every transformation has input and
output RDDs and that every RDD has a number of partitions.
Maybe "Default number of partitions for the RDDs produced by operations
like ..."?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
