anchor.diff:  For the rest of this tutorial, you will be guided through the process of getting Elasticsearch up and running, taking a peek inside it, and performing basic operations like indexing, searching, and modifying your data. At the end of this tutorial, you should have a good idea of what Elasticsearch is, how it works, and hopefully be inspired to see how you can use it to either build sophisticated search applications or to mine intelligence from your data.
   --
   
  +[[getting-started-concepts]]
   == Basic Concepts
   
   There are a few concepts that are core to Elasticsearch. Understanding these concepts from the outset will tremendously help ease the learning process.
  
positive.code: 
  Which simply means we have no indices yet in the cluster.
  
  === Create an Index
  
  Now let's create an index named "customer" and then list all the indexes again:
  
negative.code: It is worth noting that it is much more efficient to delete a whole index
  instead of deleting all documents with the Delete By Query API.
  
  [[getting-started-batch-processing]]
  === Batch Processing
  
  In addition to being able to index, update, and delete individual documents, Elasticsearch also provides the ability to perform any of the above operations in batches using the {ref}/docs-bulk.html[`_bulk` API]. This functionality is important in that it provides a very efficient mechanism to do multiple operations as fast as possible with as few network roundtrips as possible.
  