anchor.diff:  ----
   HTTP/1.1 200 OK
   Content-Type: application/json
  -Content-Length: 100
  +Content-Length: 110
   
   {
     "name" : "GeoRocket",
  -  "version" : "1.1.1-SNAPSHOT",
  +  "version" : "1.2.0-SNAPSHOT",
     "tagline" : "It's not rocket science!"
   }
   ----
  
positive.code: 
  === Tag command
  
  Modify tags of existing chunks in the data store. Tags are labels that you can use to categorise your data and to make it searchable. The `tag` command has to sub-commands that you can use to add or remove tags.
  
  ==== Add tags
  
  
negative.code: 
  == Introduction
  
  GeoRocket is a high-performance data store for geospatial files. Its focus lies on the storage, indexing, and analysis of big vector data. GeoRocket supports GeoJSON, CityGML (3D city models), GML or any other XML-based geospatial data format. It provides the following features:
  
  * Scalable high-performance data storage with multiple back-ends such as Amazon S3, MongoDB, H2 (default), distributed file systems (e.g. HDFS or Ceph), or your local hard drive.
  * Support for high-speed search features based on the popular Open-Source framework https://www.elastic.co/[Elasticsearch]. You can perform spatial queries and search for attributes, layers and tags.
  * GeoRocket is made for the Cloud. Based on the Open-Source toolkit http://vertx.io[Vert.x] it is reactive and can handle big files and a large number of parallel requests.
  * GeoRocket exists in two editions--an Open-Source version and a Pro edition for enterprise applications
  