In this chapter, we've learned a lot when it comes to indexation and data handling in Elasticsearch. We started with basic information about Elasticsearch and we proceeded to tuning the schema-less behavior in Elasticsearch. We learned how to configure our mappings, use out of the box language analysis capabilities of Elasticsearch, and create our own mappings. We looked at batch indexing to speed up indexation and we added additional internal information to the documents in our indices. Finally, we looked at segment merging and routing.
In the next chapter, we will fully concentrate on searching and the extensive query language of Elasticsearch. We will start with how to query Elasticsearch and how the Elasticsearch query process works. We will learn about all the basic queries and compound queries to be able to use them in our applications. Finally, we will see which query should be chosen for the given use case.