title: Elastic Search documents sorting, indexing issue
body: <p>I have 9000 documents in my ElasticSearch index.</p>
  
  <p>I want to sort by an analyzed string field, so, in order to do that i knew ( through Google ) that i must update the mapping to make the field not-analyzed so i can sort by this field and i must re-index the data again to reflect the change in mapping.</p>
  
  <p>The re-indexing process consumed about 20 minutes on my machine.</p>
  
  <p>The strange thing is that the re-indexing process consumed about 2 hours on a very powerful production server.</p>
  
  <p>I checked the memory status and the processor usage on that server and everything was normal.</p>
  
  <p>What i want to know is:</p>
  
  <ol>
  <li><p>Is there a way to sort documents by an analyzed, tokenized field without re-indexing the whole documents?</p></li>
  <li><p>If i must re-index the whole documents, then why does it take such huge time to re-index the documents on the server ?? or how to trace the slowness reason on that server?</p></li>
  </ol>