how to ignore an unknown column in super csv
<p>I m using super csv's bean reader to read my csv files. It works fine if the POJO and columns match. </p>

<p>For eg My pojo has theses values.</p>

<pre><code>//They have getters and setters.
//just to make it simple I have used public.
public myPojo
{
 public columnA;
 public columnB;
}
</code></pre>

<p>My super csv code looks like this.</p>

<pre><code>        final String[] header = beanReader.getHeader(true);
        int amountOfColumns=beanReader.length();
        CellProcessor[] processor = new CellProcessor[amountOfColumns];
</code></pre>

<p>so if my csv files looked like this it works fine.</p>

<p><strong>columnA,columnB</strong></p>

<p>value1,value2</p>

<p>but if my csv files had an extra column, It fails with this exception 
check that the corresponding nameMapping element matches the field name in the bean. Can I avoid this exception and just ignore this column. Basically it says it could not find the corresponding setter.</p>

<p><strong>unknownColumn,columnA,columnB</strong></p>

<p>someValue,value1,value2</p>