In this chapter, we started by discussing how to alter the Apache Lucene scoring by using different similarity methods. We altered our index postings format writing by using codecs. We indexed and searched our data in a near real-time manner, and we also learned how to flush and refresh our data. We configured the transaction log and throttled the I/O subsystem. We talked about segment merging and how to visualize it. Finally, we discussed federated search and the usage of tribe nodes in Elasticsearch.

In the next chapter, we will focus on the Elasticsearch administration. We will configure discovery and recovery, and we will use the human-friendly Cat API. In addition to this, we will back up and restore our indices, finalizing what federated search is, and how to search and index data to multiple clusters while still using all the functionalities of Elasticsearch.