![]() ![]() There are also ON EMPTY and ON ERROR clauses. There is no INTEGER, you have to be more specific, SIGNED or UNSIGNED, the types match the ones used in CAST(). Mysql> select j->”$.user” as user, j->”$.paid” as paid from t where json_value(j, ‘$.paid’ returning signed) ġ row in set (0.00 sec)The function JSON_VALUE() provides a type cast from JSON to SQL, making extracted JSON values available to SQL comparisons and conditions. Warning (Code 3986): Evaluating a JSON value in SQL boolean context does an implicit comparison against JSON integer 0 if this is not what you want, consider converting JSON to a SQL numeric type with JSON_VALUE RETURNING Mysql> select j->”$.paid” as paid from t where j->”$.paid” Mysql> select j->”$.user” as user, j->”$.paid” as paid from t Ģ rows in set (0.00 sec)We cannot SQL SELECT all users that have paid, yet: Query OK, 1 row affected (0.03 sec)We can ask for the payment status of all our users already, using the syntax from above: Mysql> select json_type(j) as type, json_valid(j) as valid, isnull(j) as sqlnull, j, id from t Mysql> create table t ( id integer not null primary key auto_increment, j json) The manual has an overview of the data type, a JSON function reference, an an overview on generated column indexes, and explains multi-values indexes.Ĭreating JSON columns is easy: Make the column of the JSON data type, fill in valid JSON data. MySQL 8 provides solid support for the JSON data type.
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