In this chapter, we learned how Elasticsearch querying works and how to choose the data we want returned. We saw how query rewrite works, what the search types are, and what search preference is. We learned about the basic queries available in Elasticsearch and filtered our results using filters. In addition to this, we discussed the highlighting functionality, which allowed us to highlight matches in our documents, and we validated our queries. We learned about compound queries that can group multiple queries together, and finally, we saw how to configure sorting to match our needs.
In the next chapter, we'll focus on indices again, but not only on indices. We'll learn how to index tree-like structures. We will see how to index data that is not flat by storing JSON objects in Elasticsearch, and how to modify the structure of an already created index. We'll also see how to handle relationships between documents using nested documents and parent-child functionality.
