MySQL 的各个json 函数说明

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如果英文的不方便阅读，请参考个人收录的另一篇中文解说：MySQL中json函数说明和举例

只是为了方便自己用的时候找：

前言：个人windows下用 5.7.20试过，部分函数能运行，部分不能，不知道是不是版本不到 5.7.8 的原因，如果你知道是为什么请一定告诉我！如果你和我同版本，运行函数都OK也请告诉我...

Creating JSON Values

A JSON array contains a list of values separated by commas and enclosed within [ and ] characters:

["abc", 10, null, true, false]

A JSON object contains a set of key-value pairs separated by commas and enclosed within { and } characters:

{"k1": "value", "k2": 10}

As the examples illustrate, JSON arrays and objects can contain scalar values that are strings or numbers, the JSON null literal, or the JSON boolean true or false literals. Keys in JSON objects must be strings. Temporal (date, time, or datetime) scalar values are also permitted:

["12:18:29.000000", "2015-07-29", "2015-07-29 12:18:29.000000"]

Nesting is permitted within JSON array elements and JSON object key values:

[99, {"id": "HK500", "cost": 75.99}, ["hot", "cold"]]
{"k1": "value", "k2": [10, 20]}

You can also obtain JSON values from a number of functions supplied by MySQL for this purpose (see Section 12.16.2, “Functions That Create JSON Values”) as well as by casting values of other types to the JSON type using CAST(value AS JSON) (see Converting between JSON and non-JSON values). The next several paragraphs describe how MySQL handles JSON values provided as input.

In MySQL, JSON values are written as strings. MySQL parses any string used in a context that requires a JSON value, and produces an error if it is not valid as JSON. These contexts include inserting a value into a column that has the JSON data type and passing an argument to a function that expects a JSON value (usually shown asjson_doc or json_val in the documentation for MySQL JSON functions), as the following examples demonstrate:

Attempting to insert a value into a JSON column succeeds if the value is a valid JSON value, but fails if it is not:


mysql> CREATE TABLE t1 (jdoc JSON);
Query OK, 0 rows affected (0.20 sec)mysql> INSERT INTO t1 VALUES('{"key1": "value1", "key2": "value2"}');
Query OK, 1 row affected (0.01 sec)mysql> INSERT INTO t1 VALUES('[1, 2,');
ERROR 3140 (22032) at line 2: Invalid JSON text:
"Invalid value." at position 6 in value (or column) '[1, 2,'.

Positions for “at position N” in such error messages are 0-based, but should be considered rough indications of where the problem in a value actually occurs.

The JSON_TYPE() function expects a JSON argument and attempts to parse it into a JSON value. It returns the value's JSON type if it is valid and produces an error otherwise:


mysql> SELECT JSON_TYPE('["a", "b", 1]');
+----------------------------+
| JSON_TYPE('["a", "b", 1]') |
+----------------------------+
| ARRAY                      |
+----------------------------+mysql> SELECT JSON_TYPE('"hello"');
+----------------------+
| JSON_TYPE('"hello"') |
+----------------------+
| STRING               |
+----------------------+mysql> SELECT JSON_TYPE('hello');
ERROR 3146 (22032): Invalid data type for JSON data in argument 1
to function json_type; a JSON string or JSON type is required.

MySQL handles strings used in JSON context using the utf8mb4 character set and utf8mb4_bin collation. Strings in other character sets are converted to utf8mb4 as necessary. (For strings in the ascii or utf8 character sets, no conversion is needed because ascii and utf8 are subsets of utf8mb4.)

As an alternative to writing JSON values using literal strings, functions exist for composing JSON values from component elements. JSON_ARRAY() takes a (possibly empty) list of values and returns a JSON array containing those values:


mysql> SELECT JSON_ARRAY('a', 1, NOW());
+----------------------------------------+
| JSON_ARRAY('a', 1, NOW())              |
+----------------------------------------+
| ["a", 1, "2015-07-27 09:43:47.000000"] |
+----------------------------------------+

JSON_OBJECT() takes a (possibly empty) list of key-value pairs and returns a JSON object containing those pairs:


mysql> SELECT JSON_OBJECT('key1', 1, 'key2', 'abc');
+---------------------------------------+
| JSON_OBJECT('key1', 1, 'key2', 'abc') |
+---------------------------------------+
| {"key1": 1, "key2": "abc"}            |
+---------------------------------------+

JSON_MERGE() takes two or more JSON documents and returns the combined result:


mysql> SELECT JSON_MERGE('["a", 1]', '{"key": "value"}');
+--------------------------------------------+
| JSON_MERGE('["a", 1]', '{"key": "value"}') |
+--------------------------------------------+
| ["a", 1, {"key": "value"}]                 |
+--------------------------------------------+

For information about the merging rules, see Normalization, Merging, and Autowrapping of JSON Values.

JSON values can be assigned to user-defined variables:


mysql> SET @j = JSON_OBJECT('key', 'value');
mysql> SELECT @j;
+------------------+
| @j               |
+------------------+
| {"key": "value"} |
+------------------+

However, user-defined variables cannot be of JSON data type, so although @j in the preceding example looks like a JSON value and has the same character set and collation as a JSON value, it does not have the JSON data type. Instead, the result from JSON_OBJECT() is converted to a string when assigned to the variable.

Strings produced by converting JSON values have a character set of utf8mb4 and a collation of utf8mb4_bin:


mysql> SELECT CHARSET(@j), COLLATION(@j);
+-------------+---------------+
| CHARSET(@j) | COLLATION(@j) |
+-------------+---------------+
| utf8mb4     | utf8mb4_bin   |
+-------------+---------------+

Because utf8mb4_bin is a binary collation, comparison of JSON values is case-sensitive.


mysql> SELECT JSON_ARRAY('x') = JSON_ARRAY('X');
+-----------------------------------+
| JSON_ARRAY('x') = JSON_ARRAY('X') |
+-----------------------------------+
|                                 0 |
+-----------------------------------+

Case sensitivity also applies to the JSON null, true, and false literals, which always must be written in lowercase:


mysql> SELECT JSON_VALID('null'), JSON_VALID('Null'), JSON_VALID('NULL');
+--------------------+--------------------+--------------------+
| JSON_VALID('null') | JSON_VALID('Null') | JSON_VALID('NULL') |
+--------------------+--------------------+--------------------+
|                  1 |                  0 |                  0 |
+--------------------+--------------------+--------------------+mysql> SELECT CAST('null' AS JSON);
+----------------------+
| CAST('null' AS JSON) |
+----------------------+
| null                 |
+----------------------+
1 row in set (0.00 sec)mysql> SELECT CAST('NULL' AS JSON);
ERROR 3141 (22032): Invalid JSON text in argument 1 to function cast_as_json:
"Invalid value." at position 0 in 'NULL'.

Case sensitivity of the JSON literals differs from that of the SQL NULL, TRUE, and FALSE literals, which can be written in any lettercase:


mysql> SELECT ISNULL(null), ISNULL(Null), ISNULL(NULL);
+--------------+--------------+--------------+
| ISNULL(null) | ISNULL(Null) | ISNULL(NULL) |
+--------------+--------------+--------------+
|            1 |            1 |            1 |
+--------------+--------------+--------------+

Sometimes it may be necessary or desirable to insert quote characters (" or ') into a JSON document. Assume for this example that you want to insert some JSON objects containing strings representing sentences that state some facts about MySQL, each paired with an appropriate keyword, into a table created using the SQL statement shown here:


mysql> CREATE TABLE facts (sentence JSON);

Among these keyword-sentence pairs is this one:

mascot: The MySQL mascot is a dolphin named "Sakila".

One way to insert this as a JSON object into the facts table is to use the MySQL JSON_OBJECT() function. In this case, you must escape each quote character using a backslash, as shown here:


mysql> INSERT INTO facts VALUES >   (JSON_OBJECT("mascot", "Our mascot is a dolphin named \"Sakila\"."));

This does not work in the same way if you insert the value as a JSON object literal, in which case, you must use the double backslash escape sequence, like this:


mysql> INSERT INTO facts VALUES >   ('{"mascot": "Our mascot is a dolphin named \\"Sakila\\"."}');

Using the double backslash keeps MySQL from performing escape sequence processing, and instead causes it to pass the string literal to the storage engine for processing. After inserting the JSON object in either of the ways just shown, you can see that the backslashes are present in the JSON column value by doing a simple SELECT, like this:


mysql> SELECT sentence FROM facts;
+---------------------------------------------------------+
| sentence                                                |
+---------------------------------------------------------+
| {"mascot": "Our mascot is a dolphin named \"Sakila\"."} |
+---------------------------------------------------------+

To look up this particular sentence employing mascot as the key, you can use the column-path operator ->, as shown here:


mysql> SELECT col->"$.mascot" FROM qtest;
+---------------------------------------------+
| col->"$.mascot"                             |
+---------------------------------------------+
| "Our mascot is a dolphin named \"Sakila\"." |
+---------------------------------------------+
1 row in set (0.00 sec)

This leaves the backslashes intact, along with the surrounding quote marks. To display the desired value using mascot as the key, but without including the surrounding quote marks or any escapes, use the inline path operator ->>, like this:


mysql> SELECT sentence->>"$.mascot" FROM facts;
+-----------------------------------------+
| sentence->>"$.mascot"                   |
+-----------------------------------------+
| Our mascot is a dolphin named "Sakila". |
+-----------------------------------------+

Note

The previous example does not work as shown if the NO_BACKSLASH_ESCAPES server SQL mode is enabled. If this mode is set, a single backslash instead of double backslashes can be used to insert the JSON object literal, and the backslashes are preserved. If you use the JSON_OBJECT()function when performing the insert and this mode is set, you must alternate single and double quotes, like this:


mysql> INSERT INTO facts VALUES > (JSON_OBJECT('mascot', 'Our mascot is a dolphin named "Sakila".'));

See the description of the JSON_UNQUOTE() function for more information about the effects of this mode on escaped characters in JSON values.

Normalization, Merging, and Autowrapping of JSON Values

When a string is parsed and found to be a valid JSON document, it is also normalized: Members with keys that duplicate a key found earlier in the document are discarded (even if the values differ). The object value produced by the following JSON_OBJECT() call does not include the second key1 element because that key name occurs earlier in the value:


mysql> SELECT JSON_OBJECT('key1', 1, 'key2', 'abc', 'key1', 'def');
+------------------------------------------------------+
| JSON_OBJECT('key1', 1, 'key2', 'abc', 'key1', 'def') |
+------------------------------------------------------+
| {"key1": 1, "key2": "abc"}                           |
+------------------------------------------------------+

Note

This “first key wins” handling of duplicate keys is not consistent with RFC 7159. This is a known issue in MySQL 5.7, which is fixed in MySQL 8.0. (Bug #86866, Bug #26369555)

MySQL also discards extra whitespace between keys, values, or elements in the original JSON document. To make lookups more efficient, it also sorts the keys of a JSON object. You should be aware that the result of this ordering is subject to change and not guaranteed to be consistent across releases.

MySQL functions that produce JSON values (see Section 12.16.2, “Functions That Create JSON Values”) always return normalized values.

Merging JSON Values

In contexts that combine multiple arrays, the arrays are merged into a single array by concatenating arrays named later to the end of the first array. In the following example, JSON_MERGE() merges its arguments into a single array:


mysql> SELECT JSON_MERGE('[1, 2]', '["a", "b"]', '[true, false]');
+-----------------------------------------------------+
| JSON_MERGE('[1, 2]', '["a", "b"]', '[true, false]') |
+-----------------------------------------------------+
| [1, 2, "a", "b", true, false]                       |
+-----------------------------------------------------+

Normalization is also performed when values are inserted into JSON columns, as shown here:


mysql> CREATE TABLE t1 (c1 JSON);mysql> INSERT INTO t1 VALUES >     ('{"x": 17, "x": "red"}'),>     ('{"x": 17, "x": "red", "x": [3, 5, 7]}');mysql> SELECT c1 FROM t1;
+-----------+
| c1        |
+-----------+
| {"x": 17} |
| {"x": 17} |
+-----------+

Multiple objects when merged produce a single object. If multiple objects have the same key, the value for that key in the resulting merged object is an array containing the key values:


mysql> SELECT JSON_MERGE('{"a": 1, "b": 2}', '{"c": 3, "a": 4}');
+----------------------------------------------------+
| JSON_MERGE('{"a": 1, "b": 2}', '{"c": 3, "a": 4}') |
+----------------------------------------------------+
| {"a": [1, 4], "b": 2, "c": 3}                      |
+----------------------------------------------------+

Nonarray values used in a context that requires an array value are autowrapped: The value is surrounded by [ and ] characters to convert it to an array. In the following statement, each argument is autowrapped as an array ([1], [2]). These are then merged to produce a single result array:


mysql> SELECT JSON_MERGE('1', '2');
+----------------------+
| JSON_MERGE('1', '2') |
+----------------------+
| [1, 2]               |
+----------------------+

Array and object values are merged by autowrapping the object as an array and merging the two arrays:


mysql> SELECT JSON_MERGE('[10, 20]', '{"a": "x", "b": "y"}');
+------------------------------------------------+
| JSON_MERGE('[10, 20]', '{"a": "x", "b": "y"}') |
+------------------------------------------------+
| [10, 20, {"a": "x", "b": "y"}]                 |
+------------------------------------------------+

Searching and Modifying JSON Values

A JSON path expression selects a value within a JSON document.

Path expressions are useful with functions that extract parts of or modify a JSON document, to specify where within that document to operate. For example, the following query extracts from a JSON document the value of the member with the name key:


mysql> SELECT JSON_EXTRACT('{"id": 14, "name": "Aztalan"}', '$.name');
+---------------------------------------------------------+
| JSON_EXTRACT('{"id": 14, "name": "Aztalan"}', '$.name') |
+---------------------------------------------------------+
| "Aztalan"                                               |
+---------------------------------------------------------+

Path syntax uses a leading $ character to represent the JSON document under consideration, optionally followed by selectors that indicate successively more specific parts of the document:

A period followed by a key name names the member in an object with the given key. The key name must be specified within double quotation marks if the name without quotes is not legal within path expressions (for example, if it contains a space).

[N] appended to a path that selects an array names the value at position N within the array. Array positions are integers beginning with zero. If path does not select an array value, path[0] evaluates to the same value as path:


mysql> SELECT JSON_SET('"x"', '$[0]', 'a');
+------------------------------+
| JSON_SET('"x"', '$[0]', 'a') |
+------------------------------+
| "a"                          |
+------------------------------+
1 row in set (0.00 sec)

Paths can contain * or ** wildcards:
- .[*] evaluates to the values of all members in a JSON object.
- [*] evaluates to the values of all elements in a JSON array.
- prefix**suffix evaluates to all paths that begin with the named prefix and end with the named suffix.
A path that does not exist in the document (evaluates to nonexistent data) evaluates to NULL.

Let $ refer to this JSON array with three elements:

[3, {"a": [5, 6], "b": 10}, [99, 100]]

Then:

$[0] evaluates to 3.
$[1] evaluates to {"a": [5, 6], "b": 10}.
$[2] evaluates to [99, 100].
$[3] evaluates to NULL (it refers to the fourth array element, which does not exist).

Because $[1] and $[2] evaluate to nonscalar values, they can be used as the basis for more-specific path expressions that select nested values. Examples:

$[1].a evaluates to [5, 6].
$[1].a[1] evaluates to 6.
$[1].b evaluates to 10.
$[2][0] evaluates to 99.

As mentioned previously, path components that name keys must be quoted if the unquoted key name is not legal in path expressions. Let $ refer to this value:

{"a fish": "shark", "a bird": "sparrow"}

The keys both contain a space and must be quoted:

$."a fish" evaluates to shark.
$."a bird" evaluates to sparrow.

Paths that use wildcards evaluate to an array that can contain multiple values:


mysql> SELECT JSON_EXTRACT('{"a": 1, "b": 2, "c": [3, 4, 5]}', '$.*');
+---------------------------------------------------------+
| JSON_EXTRACT('{"a": 1, "b": 2, "c": [3, 4, 5]}', '$.*') |
+---------------------------------------------------------+
| [1, 2, [3, 4, 5]]                                       |
+---------------------------------------------------------+
mysql> SELECT JSON_EXTRACT('{"a": 1, "b": 2, "c": [3, 4, 5]}', '$.c[*]');
+------------------------------------------------------------+
| JSON_EXTRACT('{"a": 1, "b": 2, "c": [3, 4, 5]}', '$.c[*]') |
+------------------------------------------------------------+
| [3, 4, 5]                                                  |
+------------------------------------------------------------+

In the following example, the path $**.b evaluates to multiple paths ($.a.b and $.c.b) and produces an array of the matching path values:


mysql> SELECT JSON_EXTRACT('{"a": {"b": 1}, "c": {"b": 2}}', '$**.b');
+---------------------------------------------------------+
| JSON_EXTRACT('{"a": {"b": 1}, "c": {"b": 2}}', '$**.b') |
+---------------------------------------------------------+
| [1, 2]                                                  |
+---------------------------------------------------------+

In MySQL 5.7.9 and later, you can use column->path with a JSON column identifier and JSON path expression as a synonym for JSON_EXTRACT(column, path). SeeSection 12.16.3, “Functions That Search JSON Values”, for more information. See also Indexing a Generated Column to Provide a JSON Column Index.

Some functions take an existing JSON document, modify it in some way, and return the resulting modified document. Path expressions indicate where in the document to make changes. For example, the JSON_SET(), JSON_INSERT(), and JSON_REPLACE() functions each take a JSON document, plus one or more path/value pairs that describe where to modify the document and the values to use. The functions differ in how they handle existing and nonexisting values within the document.

Consider this document:


mysql> SET @j = '["a", {"b": [true, false]}, [10, 20]]';

JSON_SET() replaces values for paths that exist and adds values for paths that do not exist:.


mysql> SELECT JSON_SET(@j, '$[1].b[0]', 1, '$[2][2]', 2);
+--------------------------------------------+
| JSON_SET(@j, '$[1].b[0]', 1, '$[2][2]', 2) |
+--------------------------------------------+
| ["a", {"b": [1, false]}, [10, 20, 2]]      |
+--------------------------------------------+

In this case, the path $[1].b[0] selects an existing value (true), which is replaced with the value following the path argument (1). The path $[2][2] does not exist, so the corresponding value (2) is added to the value selected by $[2].

JSON_INSERT() adds new values but does not replace existing values:


mysql> SELECT JSON_INSERT(@j, '$[1].b[0]', 1, '$[2][2]', 2);
+-----------------------------------------------+
| JSON_INSERT(@j, '$[1].b[0]', 1, '$[2][2]', 2) |
+-----------------------------------------------+
| ["a", {"b": [true, false]}, [10, 20, 2]]      |
+-----------------------------------------------+

JSON_REPLACE() replaces existing values and ignores new values:


mysql> SELECT JSON_REPLACE(@j, '$[1].b[0]', 1, '$[2][2]', 2);
+------------------------------------------------+
| JSON_REPLACE(@j, '$[1].b[0]', 1, '$[2][2]', 2) |
+------------------------------------------------+
| ["a", {"b": [1, false]}, [10, 20]]             |
+------------------------------------------------+

The path/value pairs are evaluated left to right. The document produced by evaluating one pair becomes the new value against which the next pair is evaluated.

JSON_REMOVE() takes a JSON document and one or more paths that specify values to be removed from the document. The return value is the original document minus the values selected by paths that exist within the document:

mysql> SELECT JSON_REMOVE(@j, '$[2]', '$[1].b[1]', '$[1].b[1]'); +---------------------------------------------------+ | JSON_REMOVE(@j, '$[2]', '$[1].b[1]', '$[1].b[1]') | +---------------------------------------------------+ | ["a", {"b": [true]}] | +---------------------------------------------------+