How to flatmap a nested Dataframe in Spark
<p>I have nested string like as shown below. I want to flat map them to produce unique rows in Spark</p>

<p>My dataframe has</p>

<pre><code>A,B,"x,y,z",D
</code></pre>

<p>I want to convert it to produce output like</p>

<pre><code>A,B,x,D
A,B,y,D
A,B,z,D
</code></pre>

<p>How can I do that.</p>

<p>Basically how can i do flat map and apply any function inside the Dataframe</p>

<p>Thanks</p>