update spark.default.parallelism

actually, the value 8 is only valid in mesos fine-grained mode :
<code>
  override def defaultParallelism() = sc.conf.getInt("spark.default.parallelism", 8)
</code>

while in coarse-grained model including mesos coares-grained, the value of the property depending on core numbers!
<code>
override def defaultParallelism(): Int = {
   conf.getInt("spark.default.parallelism", math.max(totalCoreCount.get(), 2))
  }
</code>

Author: Chen Chao <[email protected]>

Closes #389 from CrazyJvm/patch-2 and squashes the following commits:

84a7fe4 [Chen Chao] miss </li> at the end of every single line
04a9796 [Chen Chao] change format
ee0fae0 [Chen Chao] update spark.default.parallelism

docs/configuration.md

@@ -96,7 +96,13 @@ Apart from these, the following properties are also available, and may be useful
 <tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr>
 <tr>
   <td>spark.default.parallelism</td>
-  <td>8</td>
+  <td>
+    <ul>
+      <li>Mesos fine grained mode: 8</li>
+      <li>Local mode: core number of the local machine</li>
+      <li>Others: total core number of all executor nodes or 2, whichever is larger</li>
+    </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.