Executing a search with aggregations
Searching for results is obviously the main activity of a search engine; thus, aggregations are very important because they often help to augment the results.
Aggregations are executed along with the search by doing an analysis on the searched results.
Getting ready
You need a working ElasticSearch cluster and the packages used in the Creating a client recipe in this chapter.
The code of this recipe is in the chapter_11/aggregation.py and chapter_11/aggregation_pyes.py files, available in the code bundle of this book and on GitHub (https://github.com/aparo/elasticsearch-cookbook-second-edition).
How to do it...
In order to extend a query with aggregations, you need to define an aggregation section similar to what you saw in Chapter 6, Aggregations. In the case of the official ElasticSearch client, you can add the aggregation DSL to the search dictionary in order to provide aggregations results. To do this, perform the following steps:
- Initialize the client...
