spark.default.partitioner docs

docs/configuration.md

@@ -488,6 +488,17 @@ Apart from these, the following properties are also available, and may be useful
     (<code>groupByKey</code>, <code>reduceByKey</code>, etc) when not set by user.
   </td>
 </tr>
+<tr>
+  <td><code>spark.default.partitioner</code></td>
+  <td>hash</td>
+  <td>
+    Implementation to use for partitioning key-value data pairs. There are two implementations
+    available:<code>hash</code> and <code>byteswap</code>.  Both are based on the <code>hashCode</code> of
+    the keys <code>mod</code> the number of partitions, but the <code>byteswap</code> partitioner also
+    applies <code>byteswap32</code> to the hash codes, which helps guarantee that all partitions are used
+    even when the hash codes are divisible by a factor of the number of partitions.
+  </td>
+</tr>
 <tr>
   <td><code>spark.broadcast.factory</code></td>
   <td>org.apache.spark.broadcast.<br />TorrentBroadcastFactory</td>

mllib/pom.xml

@@ -21,7 +21,7 @@
   <parent>
     <groupId>org.apache.spark</groupId>
     <artifactId>spark-parent</artifactId>
-    <version>1.1.1--csd-1-SNAPSHOT</version>
+    <version>1.1.1-csd-1-SNAPSHOT</version>
     <relativePath>../pom.xml</relativePath>
   </parent>