JSON_EXTRACT_FLOAT64()
Function description
JSON_EXTRACT_FLOAT64()
is used to extract the numeric value of the specified path from JSON data.
If comparing in where condition:
- If the type is json object comparison, use JSON EXTRACT();
- If the type is a string type, use JSON_EXTRACT_STRING();
- If type is float or int, use
JSON_EXTRACT_FLOAT64()
.
Grammar structure
select col_name from tab_name where json_extract_float64(jsonDoc, pathExpression)= number;
Parameter explanation
Parameters | Description |
---|---|
jsonDoc | This is a column or expression containing JSON data. |
pathExpression | Represents the path to access a value in the JSON document. Only one path can be received at a time. The path starts with $ , indicating the root of the JSON document, and can be followed by a period . and a key name or square brackets [ ] to access the elements of the array. |
number | Specifies the value to be extracted from the JSON data, which is a numeric type. |
Path expressions must start with the $
character:
-
,
followed by a key name names the member in the object using the given key. Key names need to be enclosed in double quotes. -
[N]
: After selecting the pathof the array, name the value at positionN
in the array. Array positions are zero-based integers. If the array is negative, an error is reported. -
The path can contain the
*
or**
wildcard characters:-
.[*]
Computes the values of all members in a JSON object. -
[*]
Computes the values of all elements in a JSON array. -
prefix**suffix
: Count all paths starting with a named prefix and ending with a named suffix.
-
-
Paths that do not exist in the document (or data that does not exist) evaluate to
NULL
.
Example
create table student(n1 int,n2 json);
insert into student values
(1,'{"name": "tom", "age": 18, "score": 90,"gender": "male"}'),
(2,'{"name": "bob", "age": 20, "score": 80,"gender": "male"}'),
(3,'{"name": "jane", "age": 17, "score": 95,"gender": "female"}'),
(4,'{"name": "lily", "age": 19, "score": 79,"gender": "female"}');
mysql> select n1 from student where json_extract_float64(n2,'$.age')=19;
+------+
| n1 |
+------+
| 4 |
+------+
1 row in set (0.00 sec)
select json_extract_float64(n2,'$.age')=19;