JSON_PRETTY(json_val)

Provides pretty-printing of JSON values similar to that implemented in PHP and by other languages and database systems. The value supplied must be a JSON value or a valid string representation of a JSON value. Extraneous whitespaces and newlines present in this value have no effect on the output. For a NULL value, the function returns NULL. If the value is not a JSON document, or if it cannot be parsed as one, the function fails with an error.

Formatting of the output from this function adheres to the following rules:

mysql> SELECT JSON_PRETTY('123'); # scalar
+--------------------+
| JSON_PRETTY('123') |
+--------------------+
| 123                |
+--------------------+

mysql> SELECT JSON_PRETTY("[1,3,5]"); # array
+------------------------+
| JSON_PRETTY("[1,3,5]") |
+------------------------+
| [
  1,
  3,
  5
]      |
+------------------------+

mysql> SELECT JSON_PRETTY('{"a":"10","b":"15","x":"25"}'); # object
+---------------------------------------------+
| JSON_PRETTY('{"a":"10","b":"15","x":"25"}') |
+---------------------------------------------+
| {
  "a": "10",
  "b": "15",
  "x": "25"
}   |
+---------------------------------------------+

mysql> SELECT JSON_PRETTY('["a",1,{"key1":
     >    "value1"},"5",     "77" ,
     >       {"key2":["value3","valueX",
     > "valueY"]},"j", "2"   ]')\G  # nested arrays and objects
*************************** 1. row ***************************
JSON_PRETTY('["a",1,{"key1":
             "value1"},"5",     "77" ,
                {"key2":["value3","valuex",
          "valuey"]},"j", "2"   ]'): [
  "a",
  1,
  {
    "key1": "value1"
  },
  "5",
  "77",
  {
    "key2": [
      "value3",
      "valuex",
      "valuey"
    ]
  },
  "j",
  "2"
]

Added in MySQL 5.7.22.

JSON_STORAGE_SIZE(json_val)

This function returns the number of bytes used to store the binary representation of a JSON document. When the argument is a JSON column, this is the space used to store the JSON document. json_val must be a valid JSON document or a string which can be parsed as one. In the case where it is string, the function returns the amount of storage space in the JSON binary representation that is created by parsing the string as JSON and converting it to binary. It returns NULL if the argument is NULL.

An error results when json_val is not NULL, and is not—or cannot be successfully parsed as—a JSON document.

To illustrate this function's behavior when used with a JSON column as its argument, we create a table named jtable containing a JSON column jcol, insert a JSON value into the table, then obtain the storage space used by this column with JSON_STORAGE_SIZE(), as shown here:

mysql> CREATE TABLE jtable (jcol JSON);
Query OK, 0 rows affected (0.42 sec)

mysql> INSERT INTO jtable VALUES
    ->     ('{"a": 1000, "b": "wxyz", "c": "[1, 3, 5, 7]"}');
Query OK, 1 row affected (0.04 sec)

mysql> SELECT
    ->     jcol,
    ->     JSON_STORAGE_SIZE(jcol) AS Size
    -> FROM jtable;
+-----------------------------------------------+------+
| jcol                                          | Size |
+-----------------------------------------------+------+
| {"a": 1000, "b": "wxyz", "c": "[1, 3, 5, 7]"} |   47 |
+-----------------------------------------------+------+
1 row in set (0.00 sec)

According to the output of JSON_STORAGE_SIZE(), the JSON document inserted into the column takes up 47 bytes. Following an update, the function shows the storage used for the newly-set value:

mysql> UPDATE jtable
mysql>     SET jcol = '{"a": 4.55, "b": "wxyz", "c": "[true, false]"}';
Query OK, 1 row affected (0.04 sec)
Rows matched: 1  Changed: 1  Warnings: 0

mysql> SELECT
    ->     jcol,
    ->     JSON_STORAGE_SIZE(jcol) AS Size
    -> FROM jtable;
+------------------------------------------------+------+
| jcol                                           | Size |
+------------------------------------------------+------+
| {"a": 4.55, "b": "wxyz", "c": "[true, false]"} |   56 |
+------------------------------------------------+------+
1 row in set (0.00 sec)

This function also shows the space currently used to store a JSON document in a user variable:

mysql> SET @j = '[100, "sakila", [1, 3, 5], 425.05]';
Query OK, 0 rows affected (0.00 sec)

mysql> SELECT @j, JSON_STORAGE_SIZE(@j) AS Size;
+------------------------------------+------+
| @j                                 | Size |
+------------------------------------+------+
| [100, "sakila", [1, 3, 5], 425.05] |   45 |
+------------------------------------+------+
1 row in set (0.00 sec)

mysql> SET @j = JSON_SET(@j, '$[1]', "json");
Query OK, 0 rows affected (0.00 sec)

mysql> SELECT @j, JSON_STORAGE_SIZE(@j) AS Size;
+----------------------------------+------+
| @j                               | Size |
+----------------------------------+------+
| [100, "json", [1, 3, 5], 425.05] |   43 |
+----------------------------------+------+
1 row in set (0.00 sec)

mysql> SET @j = JSON_SET(@j, '$[2][0]', JSON_ARRAY(10, 20, 30));
Query OK, 0 rows affected (0.00 sec)

mysql> SELECT @j, JSON_STORAGE_SIZE(@j) AS Size;
+---------------------------------------------+------+
| @j                                          | Size |
+---------------------------------------------+------+
| [100, "json", [[10, 20, 30], 3, 5], 425.05] |   56 |
+---------------------------------------------+------+
1 row in set (0.00 sec)

For a JSON literal, this function also returns the current storage space used, as shown here:

mysql> SELECT
    ->     JSON_STORAGE_SIZE('[100, "sakila", [1, 3, 5], 425.05]') AS A,
    ->     JSON_STORAGE_SIZE('{"a": 1000, "b": "a", "c": "[1, 3, 5, 7]"}') AS B,
    ->     JSON_STORAGE_SIZE('{"a": 1000, "b": "wxyz", "c": "[1, 3, 5, 7]"}') AS C,
    ->     JSON_STORAGE_SIZE('[100, "json", [[10, 20, 30], 3, 5], 425.05]') AS D;
+----+----+----+----+
| A  | B  | C  | D  |
+----+----+----+----+
| 45 | 44 | 47 | 56 |
+----+----+----+----+
1 row in set (0.00 sec)

This function was added in MySQL 5.7.22.