In the previous chapter, we learned how Elasticsearch indexing works when it comes to data that is not flat. We saw how to index tree-like structures. In addition to that, we indexed data that had an object-oriented structure. We also learned how to modify the structure of already created indices. Finally, we saw how to handle relationships in Elasticsearch by using nested documents as well as the parent-child functionality. By the end of this chapter, you will have learned the following topics:
Apache Lucene scoring
Using the scripting capabilities of Elasticsearch
Indexing and searching data in different languages
Using different queries to influence the score of the returned documents
Using index-time boosting
Words having the same meaning
Checking why a particular document was returned
Checking score calculation details