Elasticsearch indexing

So far we have our Elasticsearch cluster up and running. We also know how to use Elasticsearch REST API to index our data, we know how to retrieve it, and we also know how to remove the data that we no longer need. We've also learned how to search in our data by using the URI request search and Apache Lucene query language. However, until now we've used Elasticsearch functionality that allows us not to care about indices, shards, and data structure. This is not something that you may be used to when you are coming from the world of SQL databases, where you need the database and the tables with all the columns created upfront. In general, you needed to describe the data structure to be able to put data into the database. Elasticsearch is schema-less and by default creates indices automatically and because of that we can just install it and index data without the need of any preparations. However, this is usually not the best situation when it comes to production environments...