![]() Now things start to get more favorable for PostgreSQL. This returns an object with text, pronunciation, an array of definitions, an array of quotes, an array of synonyms, and an array of antonyms ( view source) +-+-+ Now we get to a test of an entire object graph for a word. The loss of clarity is not worth the 19% performance increase. In this case, select_all should still usually be preferred over PostgreSQL. It returns an array of objects that each include text, pronunciation, part of speech, and definition ( view source). The next test is of a slightly richer word search. #Postgresql json query array codeWhile PostgreSQL is about 8% faster, the code is less clear. Pluck should probably be the preferred approach in this case. I tested three approaches: loading the entire ActiveRecord domain model, using pluck, and using PostgreSQL ( view source). The result set is simply an array of strings. ![]() The first test is of an extremely light weight auto-complete search. I created a sample benchmark application to test multiple JSON generation approaches. Obviously, the SQL to generate this JSON response is far more verbose than generating it in Ruby. This will return a single column per row in the words table. It accepts a row value and returns a JSON value. The simplest way to return JSON is with row_to_json() function. This article covers how it is done and includes a benchmark comparing it with traditional Rails JSON generation techniques. These allow us to return JSON directly from the database server. ![]() ![]() It includes a JSON data type and two JSON functions. PostgreSQL Faster JSON Generation with PostgreSQLĪ new feature in PostgreSQL 9.2 is JSON support. ![]()
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