title: Cassandra Spark read performance - issue with double values
body: <p>I have a column family with all <strong>string</strong> columns of 5M rows (133GB). </p>
  
  <p>My Spark program to read data from this keyspace, and print count, finishes in 80 sec. </p>
  
  <p>But if I replace one string column with a <strong>double</strong> column, the same Spark program takes more than 300 sec. </p>
  
  <p>I am trying to understand why is this happening. 
  Is it because of any parsing happening back stage ? </p>