Elasticsearch queries are great - the query DSL is very rich and keeps evolving continuously. It's hierarchical structure allows for very sophisticated queries to be written and executed, and for handy UIs to wrap it with auto-complete features, for example.

However, like with every DSL, Elasticsear...

Elasticsearch supports scripting in several places, however the most notable and useful usage of scripting is in queries. You can use Groovy scripts to run dynamic scripts on query time to perform filtering, adjust scoring or compute aggregations. Scripting support is very useful, especially since i...

In the previous tip we discussed index mappings in Elasticsearch, and how to make managing them an easier task.

But one problem still remains - in real life indexes will consist of more than just a few fields. Often times in fact they will have dozens of them. As if that's not enough, every few fiel...

No data store with secondary indexes is truly schema-less, and Elasticsearch is no different. While it doesn't require you to define your data structure up-front, it does derive a schema from your documents structure and makes decisions on how to index them based on that. In that respect, Elasticsea...

This is the first post of what I hope will make a useful series on Elasticsearch. In this series I will share some tips and tricks I often give when working with various clients, or during courses or conference presentations.

In this post we will show-case Sense, the best Elasticsearch REST client o...