MySQL 8.0 Reference Manual Including MySQL NDB Cluster 8.0
This section documents utility functions that act on JSON values,
or strings that can be parsed as JSON values.
JSON_PRETTY() prints out a JSON
value in a format that is easy to read.
JSON_STORAGE_SIZE() and
JSON_STORAGE_FREE() show,
respectively, the amount of storage space used by a given JSON
value and the amount of space remaining in a
JSON column following a partial update.
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:
Each array element or object member appears on a separate line, indented by one additional level as compared to its parent.
Each level of indentation adds two leading spaces.
A comma separating individual array elements or object members is printed before the newline that separates the two elements or members.
The key and the value of an object member are separated by
a colon followed by a space (': ').
An empty object or array is printed on a single line. No space is printed between the opening and closing brace.
Special characters in string scalars and key names are
escaped employing the same rules used by the
JSON_QUOTE() function.
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" ]
For a JSON column value, this
function shows how much storage space was freed in its binary
representation after it was updated in place using
JSON_SET(),
JSON_REPLACE(), or
JSON_REMOVE(). The argument can
also be a valid JSON document or a string which can be parsed
as one—either as a literal value or as the value of a
user variable—in which case the function returns 0. It
returns a positive, nonzero value if the argument is a
JSON column value which has been updated as
described previously, such that its binary representation
takes up less space than it did prior to the update. For a
JSON column which has been updated such
that its binary representation is the same as or larger than
before, or if the update was not able to take advantage of a
partial update, it returns 0; it returns
NULL if the argument is
NULL.
If json_val is not
NULL, and neither is a valid JSON document
nor can be successfully parsed as one, an error results.
In this example, we create a table containing a
JSON column, then insert a row containing a
JSON object:
mysql>CREATE TABLE jtable (jcol JSON);Query OK, 0 rows affected (0.38 sec) mysql>INSERT INTO jtable VALUES->('{"a": 10, "b": "wxyz", "c": "[true, false]"}');Query OK, 1 row affected (0.04 sec) mysql>SELECT * FROM jtable;+----------------------------------------------+ | jcol | +----------------------------------------------+ | {"a": 10, "b": "wxyz", "c": "[true, false]"} | +----------------------------------------------+ 1 row in set (0.00 sec)
Now we update the column value using
JSON_SET() such that a partial update can
be performed; in this case, we replace the value pointed to by
the c key (the array [true,
false]) with one that takes up less space (the
integer 1):
mysql>UPDATE jtable->SET jcol = JSON_SET(jcol, "$.a", 10, "$.b", "wxyz", "$.c", 1);Query OK, 1 row affected (0.03 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql>SELECT * FROM jtable;+--------------------------------+ | jcol | +--------------------------------+ | {"a": 10, "b": "wxyz", "c": 1} | +--------------------------------+ 1 row in set (0.00 sec) mysql>SELECT JSON_STORAGE_FREE(jcol) FROM jtable;+-------------------------+ | JSON_STORAGE_FREE(jcol) | +-------------------------+ | 14 | +-------------------------+ 1 row in set (0.00 sec)
The effects of successive partial updates on this free space
are cumulative, as shown in this example using
JSON_SET() to reduce the space taken up by
the value having key b (and making no other
changes):
mysql>UPDATE jtable->SET jcol = JSON_SET(jcol, "$.a", 10, "$.b", "wx", "$.c", 1);Query OK, 1 row affected (0.03 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql>SELECT JSON_STORAGE_FREE(jcol) FROM jtable;+-------------------------+ | JSON_STORAGE_FREE(jcol) | +-------------------------+ | 16 | +-------------------------+ 1 row in set (0.00 sec)
Updating the column without using
JSON_SET(),
JSON_REPLACE(), or
JSON_REMOVE() means that the optimizer
cannot perform the update in place; in this case,
JSON_STORAGE_FREE() returns 0, as shown
here:
mysql>UPDATE jtable SET jcol = '{"a": 10, "b": 1}';Query OK, 1 row affected (0.05 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql>SELECT JSON_STORAGE_FREE(jcol) FROM jtable;+-------------------------+ | JSON_STORAGE_FREE(jcol) | +-------------------------+ | 0 | +-------------------------+ 1 row in set (0.00 sec)
Partial updates of JSON documents can be performed only on
column values. For a user variable that stores a JSON value,
the value is always completely replaced, even when the update
is performed using JSON_SET():
mysql>SET @j = '{"a": 10, "b": "wxyz", "c": "[true, false]"}';Query OK, 0 rows affected (0.00 sec) mysql>SET @j = JSON_SET(@j, '$.a', 10, '$.b', 'wxyz', '$.c', '1');Query OK, 0 rows affected (0.00 sec) mysql>SELECT @j, JSON_STORAGE_FREE(@j) AS Free;+----------------------------------+------+ | @j | Free | +----------------------------------+------+ | {"a": 10, "b": "wxyz", "c": "1"} | 0 | +----------------------------------+------+ 1 row in set (0.00 sec)
For a JSON literal, this function always returns 0:
mysql> SELECT JSON_STORAGE_FREE('{"a": 10, "b": "wxyz", "c": "1"}') AS Free;
+------+
| Free |
+------+
| 0 |
+------+
1 row in set (0.00 sec)
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 as it was inserted into the column,
prior to any partial updates that may have been performed on
it afterwards. 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,->JSON_STORAGE_FREE(jcol) AS Free->FROM jtable;+-----------------------------------------------+------+------+ | jcol | Size | Free | +-----------------------------------------------+------+------+ | {"a": 1000, "b": "wxyz", "c": "[1, 3, 5, 7]"} | 47 | 0 | +-----------------------------------------------+------+------+ 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. We also checked
the amount of space freed by any previous partial updates of
the column using
JSON_STORAGE_FREE(); since no
updates have yet been performed, this is 0, as expected.
Next we perform an UPDATE on
the table that should result in a partial update of the
document stored in jcol, and then test the
result as shown here:
mysql>UPDATE jtable SET jcol =->JSON_SET(jcol, "$.b", "a");Query OK, 1 row affected (0.04 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql>SELECT->jcol,->JSON_STORAGE_SIZE(jcol) AS Size,->JSON_STORAGE_FREE(jcol) AS Free->FROM jtable;+--------------------------------------------+------+------+ | jcol | Size | Free | +--------------------------------------------+------+------+ | {"a": 1000, "b": "a", "c": "[1, 3, 5, 7]"} | 47 | 3 | +--------------------------------------------+------+------+ 1 row in set (0.00 sec)
The value returned by JSON_STORAGE_FREE()
in the previous query indicates that a partial update of the
JSON document was performed, and that this freed 3 bytes of
space used to store it. The result returned by
JSON_STORAGE_SIZE() is unchanged by the
partial update.
Partial updates are supported for updates using
JSON_SET(),
JSON_REPLACE(), or
JSON_REMOVE(). The direct
assignment of a value to a JSON column
cannot be partially updated; following such an update,
JSON_STORAGE_SIZE() always shows the
storage used for the newly-set value:
mysql>UPDATE jtablemysql>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,->JSON_STORAGE_FREE(jcol) AS Free->FROM jtable;+------------------------------------------------+------+------+ | jcol | Size | Free | +------------------------------------------------+------+------+ | {"a": 4.55, "b": "wxyz", "c": "[true, false]"} | 56 | 0 | +------------------------------------------------+------+------+ 1 row in set (0.00 sec)
A JSON user variable cannot be partially updated. This means that this function always 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 always returns the current storage space used:
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)