anchor.diff:  <1> Works only for the mongo configuration
   <2> Works only for the es configuration
   
  -Here is an example of a mongolastic query:
  +Here is an example of a mongolastic query in a mongolastic file:
   
   [source,mongolastic]
   ----
  
positive.code: 
  Consider the following one that 2 additional parameters are passed along with the same query.mongolastic file:
  
      $ java -jar target/mongolastic.jar query.mongolastic db:kodcucom c:tweetdata
  
  Mongolastic will simply ignore twitter/tweets and look for the collection called _tweetdata_ in the database called _kodcucom_ from mongod in order to transfer them into a running elastic node. As you know now, the new location of the entire data in es will be located in a different index/type. The entire tweet data will be imported to an type called _tweet_ of the index called _social_ since the query includes the AS statement.
  
  
negative.code: = Mongolastic
  
  image::https://travis-ci.org/ozlerhakan/mongolastic.svg?branch=master"[alt="Build Status" url="https://travis-ci.org/ozlerhakan/mongolastic"]
  
  What data you have in your MongoDB can also be included into your ElasticSearch and vice versa using this tool. You can perform the aforementioned facilities using the mongolastic query language. Writing a mongolastic query, you explicitly can pass a few specific parameters as well.
  
  == How it works
  
  First, download the latest mongolastic.jar file from the https://github.com/ozlerhakan/mongolastic/releases[releases] page.
  
  Second, write a query in a mongolastic file. Mongolastic requires you to give a file ending with `.mongolastic` which contains the query structure:
  
  