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Clear up a couple things
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docs/configuration.md

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@@ -563,16 +563,16 @@ Apart from these, the following properties are also available, and may be useful
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<td><code>spark.default.parallelism</code></td>
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<td>
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For distributed shuffle operations like <code>reduceByKey</code> and <code>join</code>, the
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largest number of partitions in parent RDD. For operations like <code>parallelize</code> with
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no parent RDDs, it depends on the cluster manager:
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largest number of partitions in a parent RDD. For operations like <code>parallelize</code>
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with no parent RDDs, it depends on the cluster manager:
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<ul>
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<li>Local mode: number of cores on the local machine</li>
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<li>Mesos fine grained mode: 8</li>
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<li>Others: total number of cores on all executor nodes or 2, whichever is larger</li>
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</ul>
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</td>
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<td>
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Default number of output partitions for operations like <code>join</code>,
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Default number of partitions in RDDs returned by transformations like <code>join</code>,
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<code>reduceByKey</code>, and <code>parallelize</code> when not set by user.
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</td>
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</tr>

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