title: Parse JSON Colum of Spark Dataframe with Variable Schema
body: <p>I have a Dataframe column in JSON format with variable schema. I have to parse the data in column and put it in Hbase. For Eg. as in below is column of dataframe with JSON  :</p>
  
  <pre><code>Col1
  {“Name”:”Ram”,”Place”:”RamGarh”}
  {“Name”:”Lakshman”,”Place”:”LakshManPur”.”DepartMent”:”Operations”}
  {“Name”:”Sita”,”Place”:”SitaPur”,”Experience”,”14”}
  </code></pre>
  
  <p>I need to parse this JSON data. What should be most efficient way? So that at least I can present in form of key -> value form.</p>
  
  <pre><code>Ram-&gt;       (Place -&gt; Ramgarh)
  Lakshman -&gt; (Place -&gt; LakshmanPur,
               Department -&gt; Operations)
  </code></pre>
  
  <p>I have to insert data in Hbase with Name and key and others as columns. </p>