title: Rapidminer - Out of memory when working on large datasets
body: <p>In Rapidminer v.5.3013 I want to achieve the following:</p>
  
  <ol>
  <li>Read 15 million records from a database table - only one attribute but with up to 4096 characters</li>
  <li>Regex replacements on that data set</li>
  <li>Classification according to Naive Bayes</li>
  <li>Write the result (also 15 million rows) into another table</li>
  </ol>
  
  <p>I have the process running on RapidAnalytics with 8GB of RAM dedicated to it, though it always crashes with <code>java.lang.OutOfMemoryError</code>.</p>
  
  <p>Probably I have to iterate over a smaller subset of the records and <strong>append</strong> each part of the result to the destination table. There is a operator called "Loop Data Sets" but I couldn't find appropiate options/parameters for iterating the way I'd need it. </p>
  
  <p>Has someone maybe an idea how to solve this?</p>