Update: for 9.5+, there are explicit operators you can use with jsonb
(if you have a json
typed column, you can use casts to apply a modification):
Deleting a key (or an index) from a JSON object (or, from an array) can be done with the -
operator:
SELECT jsonb '{"a":1,"b":2}' - 'a', -- will yield jsonb '{"b":2}'
jsonb '["a",1,"b",2]' - 1 -- will yield jsonb '["a","b",2]'
Deleting, from deep in a JSON hierarchy can be done with the #-
operator:
SELECT '{"a":[null,{"b":[3.14]}]}' #- '{a,1,b,0}'
-- will yield jsonb '{"a":[null,{"b":[]}]}'
For 9.4, you can use a modified version of the original answer (below), but instead of aggregating a JSON string, you can aggregate into a json
object directly with json_object_agg()
.
Related: other JSON manipulations whithin PostgreSQL:
Original answer (applies to PostgreSQL 9.3):
If you have at least PostgreSQL 9.3, you can split your object into pairs with json_each()
and filter your unwanted fields, then build up the json again manually. Something like:
SELECT data::text::json AS before,
('{' || array_to_string(array_agg(to_json(l.key) || ':' || l.value), ',') || '}')::json AS after
FROM (VALUES ('{"attrA":1,"attrB":true,"attrC":["a","b","c"]}'::json)) AS v(data),
LATERAL (SELECT * FROM json_each(data) WHERE "key" <> 'attrB') AS l
GROUP BY data::text
With 9.2 (or lower) it is not possible.
Edit:
A more convenient form is to create a function, which can remove any number of attributes in a json
field:
Edit 2: string_agg()
is less expensive than array_to_string(array_agg())
CREATE OR REPLACE FUNCTION "json_object_delete_keys"("json" json, VARIADIC "keys_to_delete" TEXT[])
RETURNS json
LANGUAGE sql
IMMUTABLE
STRICT
AS $function$
SELECT COALESCE(
(SELECT ('{' || string_agg(to_json("key") || ':' || "value", ',') || '}')
FROM json_each("json")
WHERE "key" <> ALL ("keys_to_delete")),
'{}'
)::json
$function$;
With this function, all you need to do is to run the query below:
UPDATE my_table
SET data = json_object_delete_keys(data, 'attrB');