title: pandas.read_sql processing speed
body: <p>I need for further processing the result set of a MySQL query as a dataframe. The SQL table contains about 2 million rows and 12 columns (Data size = 180 MiB).
  I'm running OS X 10.9 with 8 GB memory. Is it normal that <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql.html" rel="noreferrer">pandas.read_sql</a> takes more than 20 secs to return the dataframe? How to implement a chunk size option like in <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html" rel="noreferrer">pandas.read_csv</a>? </p>
  
  <p><strong>Edit:</strong>
  Python 2.7.6,
  pandas 0.13.1</p>