We are working on updating this book for the latest version. Some content might be out of date.
A keen observer will notice that all the queries so far in this book have operated on whole terms. To match something, the smallest unit had to be a single term. You can find only terms that exist in the inverted index.
But what happens if you want to match parts of a term but not the whole thing? Partial matching allows users to specify a portion of the term they are looking for and find any words that contain that fragment.
The requirement to match on part of a term is less common in the full-text search-engine world than you might think. If you have come from an SQL background, you likely have, at some stage of your career, implemented a poor man’s full-text search using SQL constructs like this:
Of course, with Elasticsearch, we have the analysis process and the inverted index that remove the need for such brute-force techniques. To handle the case of matching both “fox” and “foxes,” we could simply use a stemmer to index words in their root form. There is no need to match partial terms.
Matching postal codes, product serial numbers, or other
not_analyzedvalues that start with a particular prefix or match a wildcard pattern or even a regular expression
- search-as-you-type—displaying the most likely results before the user has finished typing the search terms
- Matching in languages like German or Dutch, which contain long compound words, like Weltgesundheitsorganisation (World Health Organization)
We will start by examining prefix matching on exact-value