lib_mysqludf_preg उपयोगकर्ता-परिभाषित फ़ंक्शन (UDF) का उपयोग किया गया था:
mysql> DROP TABLE IF EXISTS `orders`;
Query OK, 0 rows affected (0.00 sec)
mysql> CREATE TABLE IF NOT EXISTS `orders` (
-> `id` SERIAL,
-> `items` JSON
-> );
Query OK, 0 rows affected (0.00 sec)
mysql> INSERT INTO `orders`
-> (`items`)
-> VALUES ('
'> {
'> "10": {
'> "name": "item 1",
'> "step": "1",
'> "price": "140",
'> "amount": "4",
'> "category": "9"
'> },
'> "24": {
'> "name": "item 2",
'> "step": "1",
'> "price": "6.2",
'> "amount": "1",
'> "category": "5"
'> },
'> "35": {
'> "name": "item 3",
'> "step": "1",
'> "price": "2.9",
'> "amount": "3",
'> "category": "1"
'> },
'> "37": {
'> "name": "item 4",
'> "step": "1",
'> "price": "3.9",
'> "amount": "2",
'> "category": "9"
'> }
'> }'),
-> ('{
'> "10": {
'> "name": "item 1",
'> "step": "1",
'> "price": "141",
'> "amount": "4",
'> "category": "9"
'> }
'> }'),
-> ('{
'> "10": {
'> "name": "item 1",
'> "step": "1",
'> "price": "141",
'> "amount": "4",
'> "category": "8"
'> }
'> }');
Query OK, 3 rows affected (0.00 sec)
Records: 3 Duplicates: 0 Warnings: 0
mysql> SELECT `id`, `items`
-> FROM `orders`;
+----+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| id | items |
+----+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| 1 | {"10": {"name": "item 1", "step": "1", "price": "140", "amount": "4", "category": "9"}, "24": {"name": "item 2", "step": "1", "price": "6.2", "amount": "1", "category": "5"}, "35": {"name": "item 3", "step": "1", "price": "2.9", "amount": "3", "category": "1"}, "37": {"name": "item 4", "step": "1", "price": "3.9", "amount": "2", "category": "9"}} |
| 2 | {"10": {"name": "item 1", "step": "1", "price": "141", "amount": "4", "category": "9"}} |
| 3 | {"10": {"name": "item 1", "step": "1", "price": "141", "amount": "4", "category": "8"}} |
+----+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
3 rows in set (0.01 sec)
mysql> SET @`category` := '9';
Query OK, 0 rows affected (0.00 sec)
mysql> SELECT
-> GROUP_CONCAT('
'> SELECT
'> `id`,
'> JSON_EXTRACT(CONCAT(\'[\', REPLACE(`items`, \'"}, "\', \'"}},{"\'), \']\'), ',
-> PREG_REPLACE('/^\\[|\\.\\\\\"\\d+\\\\\"\\.category|\\]$/i', '',
-> JSON_SEARCH(
-> CONCAT('[', REPLACE(`items`, '"}, "', '"}},{"'), ']'),
-> 'all',
-> @`category`,
-> NULL,
-> '$**.category'
-> )
-> ), '
'> ) `items`
'> FROM `orders`
'> WHERE `id` = ', `id`
-> SEPARATOR ' UNION ALL ') INTO @`sql`
-> FROM
-> `orders`
-> WHERE
-> JSON_CONTAINS(
-> JSON_EXTRACT(`items`,
-> '$**.category'),
-> CONCAT('"', @`category`, '"')
-> );
Query OK, 1 row affected (0.00 sec)
mysql> PREPARE `stmt` FROM @`sql`;
Query OK, 0 rows affected (0.00 sec)
Statement prepared
mysql> EXECUTE `stmt`;
+----+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| id | items |
+----+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| 1 | [{"10": {"name": "item 1", "step": "1", "price": "140", "amount": "4", "category": "9"}}, {"37": {"name": "item 4", "step": "1", "price": "3.9", "amount": "2", "category": "9"}}] |
| 2 | {"10": {"name": "item 1", "step": "1", "price": "141", "amount": "4", "category": "9"}} |
+----+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
2 rows in set (0.00 sec)
mysql> DEALLOCATE PREPARE `stmt`;
Query OK, 0 rows affected (0.00 sec)
MariaDB में आप बिल्ट-इन फ़ंक्शन का उपयोग कर सकते हैं REGEXP_REPLACE , देखें dbfiddle ।
