![]() ![]() ![]() In fact, most of these methods are rather slow. To find a substring matching of a pattern (needed expression) in a text, we’ll go through the document(s) until the match is found or the text is finished. To make it easier, let’s divide methods into two groups:ġ. We can opt for any, depending on the case. There are different ways of realization of full text search. a name of the person in a list or a database įull text search results can be used as an input for a replacement of phrases and in the process of related word forms search, etc.If you have your own website with a lot of data, applying full text search might be very useful because it eases interaction for a user.įull text search may be useful when one needs to search for: For example, Google allows users to find the neeeded query on web pages particularly with the help of this technique. ![]() At that time the process of scanning was very long and time-consuming, so it was optimized.įull text search engines are used widely. The technique gained its popularity in 1990’s. Unlike metadata search methods, which analyze only the description of the document, full text search goes through all the words in the document, showing information that is more relevant or the exact information that was requested. Now, let's look at the use cases one by one.Full text search is a technique, which allows conducting search through documents and databases not only by a title, but also by content. _ sign is used to match any single character.% sign is used to pattern match any sequence of zero or more characters.There are a couple of important selectors associated with this. The difference is that ILIKE does case insensitive pattern matching. Both these operators are used for pattern matching in Postgres. The first easy approach is to use the LIKE or ILIKE operator in a where clause. If you don't have Hasura running already, you can start by getting a Hasura project running on Hasura Cloud. You can apply the above sql to your Postgres instance connected to Hasura. I have taken the chinook database schema with sample data to demonstrate the examples. The requirements for search could range from searching a single column, multiple columns or across tables, which can potentially be achieved using views. ![]() There are different ways to approach full text search with Postgres. In this post, you will look at how to implement full text search with Hasura GraphQL API, leveraging some of the Postgres features and it's support for search. ![]()
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March 2023
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