Get elements of type structure of row by name in SPARK SCALA
<p>In a DataFrame object in Apache Spark (I'm using the Scala interface), if I'm iterating over its Row objects, is there any way to extract structure values by name? </p>

<p>I am using the below code to extract by name but I am facing problem on how to read the struct value .</p>

<p>If values had been of type string then we could have done this: </p>

<pre><code> val resultDF=joinedDF.rdd.map{row=&gt; 
      val id=row.getAs[Long]("id")
      val values=row.getAs[String]("slotSize")
      val feilds=row.getAs[String](values)
      (id,values,feilds)
      }.toDF("id","values","feilds")
</code></pre>

<p>But in my case values has the below schema</p>

<pre><code>v1: struct (nullable = true)
     |    |-- level1: string (nullable = true)
     |    |-- level2: string (nullable = true)
     |    |-- level3: string (nullable = true)
     |    |-- level4: string (nullable = true)
     |    |-- level5: string (nullable = true)
</code></pre>

<p>What shall I replace this line with to make the code work given that value has the above structure.</p>

<pre><code>  row.getAs[String](values)
</code></pre>