Time flies! We have completed the chapter. Now, we understand mappings and know how to index documents. We have performed mapping APIs and created our own mapping design to index the sample documents. We also dealt with the remaining task from Chapter 3, Document APIs, to refresh the mapping changes of static mapping in order to avoid document reindexing.
In the next chapter, we'll delve into the analyzer. With a custom analyzer, you can define how the document fields behave before storing or during search time later. You have great control over how document fields are used in your queries to make your search more accurate and efficient. We'll first learn the tokenizers, and then the filters. Then, after reviewing the built-in analyzers, we'll write our own analyzer.
