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In order to optimize the search for specific elements in a JSON array, be sure to consider the PostgreSQL version and data structure.
In PostgreSQL 9.4 and later, the binary JSON data type jsonb
provides significantly improved indexing capabilities. You can create a GIN index directly on the jsonb
array:
<code class="language-sql">CREATE TABLE tracks (id serial, artists jsonb); -- ! CREATE INDEX tracks_artists_gin_idx ON tracks USING gin (artists);</code>
This index allows efficient queries using the @>
operator:
<code class="language-sql">SELECT * FROM tracks WHERE artists @> '[{"name": "The Dirty Heads"}]';</code>
Alternatively, you can use the specialized jsonb_path_ops
GIN operator class:
<code class="language-sql">CREATE INDEX tracks_artists_gin_idx ON tracks USING gin (artists jsonb_path_ops); -- !</code>
The query statement remains unchanged.
For PostgreSQL 9.3, consider using a IMMUTABLE
function to extract the elements of a JSON array into an array of text values:
<code class="language-sql">CREATE OR REPLACE FUNCTION json2arr(_j json, _key text) RETURNS text[] LANGUAGE sql IMMUTABLE AS 'SELECT ARRAY(SELECT elem->>_key FROM json_array_elements(_j) elem)';</code>
Then, create a functional GIN index on the extracted array:
<code class="language-sql">CREATE INDEX tracks_artists_gin_idx ON tracks USING gin (json2arr(artists, 'name'));</code>
In queries, use array operators to match index expressions:
<code class="language-sql">SELECT * FROM tracks WHERE '{"The Dirty Heads"}'::text[] <@ (json2arr(artists, 'name'));</code>
Please note that function indexing can only be used with IMMUTABLE
functions. Validate the mutability of the json_array_elements()
function and any other JSON functions used.
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