title: Spark csv to dataframe skip first row
body: <p>I am loading csv to dataframe using -</p>
  
  <pre class="lang-scala prettyprint-override"><code>sqlContext.read.format("com.databricks.spark.csv").option("header", "true").
                  option("delimiter", ",").load("file.csv")
  </code></pre>
  
  <p>but my input file contains date in the first row and header from  second row.
  example</p>
  
  <pre><code>20160612
  id,name,age
  1,abc,12
  2,bcd,33
  </code></pre>
  
  <p>How can i skip this first row while converting csv to dataframe?</p>