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authorAndrew Ash <andrew@andrewash.com>2014-01-21 14:49:35 -0800
committerAndrew Ash <andrew@andrewash.com>2014-01-21 14:49:35 -0800
commit069bb94206530a30d095c4920ecfc3b4a8635a72 (patch)
tree8c2d5441a6bdd72543d9181239f0daacb2b5c4e3 /docs/configuration.md
parentf8544981a6d05687fa950639cb1eb3c31e9b6bf5 (diff)
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Clarify spark.default.parallelism
It's the task count across the cluster, not per worker, per machine, per core, or anything else.
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diff --git a/docs/configuration.md b/docs/configuration.md
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@@ -98,7 +98,7 @@ Apart from these, the following properties are also available, and may be useful
<td>spark.default.parallelism</td>
<td>8</td>
<td>
- Default number of tasks to use for distributed shuffle operations (<code>groupByKey</code>,
+ 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.
</td>
</tr>