title: Is it possible to run multiple spark files with full resources of a cluster?
body: <p>I have a.py &amp; b.py files.</p>
  <p><strong>a.py</strong> &gt;&gt; SparkConf( Set to Master ) Using all the resources of clusters &amp; master</p>
  <p><strong>b.py</strong> &gt;&gt; SparkConf( Set to Local ) Using only resources of master</p>
  <p>If I run both in parallel then scripts are running. But if I change the SparkConf to the below mentioned,</p>
  <p><strong>a.py</strong> &gt;&gt; SparkConf( Set to Master ) Using all the resources of clusters &amp; master</p>
  <p><strong>b.py</strong> &gt;&gt; SparkConf( Set to Master ) Using all the resources of clusters &amp; master</p>
  <p>Then, One goes in running state another goes in waiting state as there are no resource available to allocate to the other script.</p>
  <p>So is it possible to run both scripts in parallel for the second case?</p>