title: How to configure dynamic allocation for PySpark in Jupyter
body: <p>I was using Zeppelin for pyspark scripting. Now i want to start scripting in Jupyter. I am not able to configure the following dynamic allocations.</p>
  
  <pre><code>livy.spark.dynamicAllocation.enabled true
  livy.spark.dynamicAllocation.minExecutors 6
  livy.spark.shuffle.service.enabled true
  </code></pre>
  
  <p>How can i do that?</p>
  
  <p>I have already configured the below items just by changing the config Json file.</p>
  
  <pre><code>livy.spark.executor.cores 4
  livy.spark.executor.memory 4g
  </code></pre>