title: Spark unable to parse csv with weird triple quotes
body: <p>So I have a csv file with 16 fields, and these two records in particular are unable to be correctly parsed</p>
  
  <pre><code>1,"X","X",,"Y ""Y"", Y, Y","Y,Y,Y,Y,Y,Y,Y,Y,Y",,,,,,"X",,,,"X"
  2,"X","X",,"""Y"" Y, Y","Y,Y,Y,Y",,,,,,"X","X",,,"X"
  </code></pre>
  
  <p>Expected deliminators - </p>
  
  <pre><code>1|"X"|"X"||"Y ""Y"", Y, Y"|"Y,Y,Y,Y,Y,Y,Y,Y,Y"||||||"X"||||"X"
  2|"X"|"X"|"""Y"" Y, Y"|"Y,Y,Y,Y"||||||"X"|"X"|||"X"
  </code></pre>
  
  <p>Now for example, <code>"Y,Y,Y,Y,Y,Y,Y,Y,Y"</code> this field is being correctly parsed to a single column, but <code>"""Y"" Y, Y"</code> and <code>"Y ""Y"", Y, Y"</code> are failing.  Is there anyway to correct this when using spark to read from a csv? Some option? I can use?</p>
  
  <p>Note - the incoming data can not be changed in anyway, so escaping double quotes in the landing data is not an option.</p>