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Documentation | Binary | Installation | Source JSON is an abbreviation of JavaScript Object Notation. JSON uses a subset of the ecmascript (javascript) language to denote javascript data structures (see also RFC 4627). As such, JSON is a text-oriented data format.
JSON is particularly useful as a format for data exchange. It is mainly used in AJAX web applications as an alternative or in addition to XML. As such, JSON offers a few advantages over XML:
less verbosity, resulting in a smaller amount of data to transfer directly deserializable to yield the corresponding object structure using the javascript built-in eval() function. Usually, database data is mapped to the JSON format downstream of the database. For example, PHP offers an extension to convert PHP data structures to JSON. The disadvantage of that approach is that it usually requires one to iterate through the resultset to create an object structure out of it before that object structure can be encoded into the JSON format. Also, JSON encoding using an UDF is much faster.
General notes of usage
There are a few things to keep in mind when using these UDF's. The JSON UDFs are designed for ease of use. They were designed with the assumption in mind that in many cases, only a simple and straightforward mapping is required. So, the UDFs try to make simple mappings easy and with as little overhead as possible. At the same time the UDFs will still be useful to generate more complicated mappings.
Here's a general overview of general functionality offered by lib_mysqludf_json:
Variable-length parameterlists allow straightforward mapping In many cases, a mapping is needed to map row-level data to either a JSON array or a JSON object. Variable argument lists allow a single method invocation to accept a whole list of items that are subsequently mapped to JSON structures. Proper escaping of string data String values are mapped to JSON strings. These strings are automatically escaped to conform to the JSON syntax. At the same time it is very straightforward to bypass the automatic escaping behaviour when necessary. Consistent NULL handling Database NULL values are handled according to the datatype. String NULL values map to javascript null, and numeric NULL values map to javascript NaN. Automatic mapping of expressions to JSON object members Often, when creating JSON objects from relational data, it is perfectly fine to use column names as object member names. In those cases, one need not provide member names explicitly. The functions simple reuse the literal text of the argument expressions. At the same time, it is easy to map members to a custom name. Basic validity checking of JSON member names Constant object member names are checked to see if they are valid JSON member names. Support for easy nesting of JSON structures Occassionally, there is a need for nesting JSON objects and/or arrays. Nesting of JSON UDF functions is intuitive and straigtforward. Normally, a string result returned by an inner function would be escaped by the outer function, but this is not the case when nesting the json UDF's. Escaping and quoting of string data
Argument string values are normally automatically mapped to JSON double quoted strings. The string value is escaped to for a valid JSON value. The following characters are escaped by prefixing them with a \ or slash character:
" - The double quote character is mapped as " linefeed - The linefeed character is mapped to \n carriage return - The carriage return character is mapped to \r \ - The backslash character is mapped to \ Quoting and escaping can be avoided if the expression that returns the string starts with the prefix json_ or has an alias starting with that prefix.
Mapping expressions to Object members
To make it as easy as possible to map rows to JSON objects, the json_object function maps each argument to one member. The expression text is used as member name, and the value as member value. This allows a lot of common cases to be handled without effort.
However, that is not to say that the json_object function blindly uses the expression text. With a few exceptions, the expressions are checked to see if they make a valid JSON member name. In some cases, a modification of the expression text is used. Currently modication occurs for qualified names. A qualified column expression like aTableAlias.columnName is modified to read columnName.
It is always possible to override the automatic member name mapping. This is done by including an alias to the expression inside the function call.
Functions
This library lib_mysqludf_json aims to offer a complete set of functions to map relational data into JSON format. The following functions are currently supported:
json_array - maps a variable number of arguments to a JSON array. json_members - maps a variable number of name-value pairs to a list of JSON object members. json_object - maps a variable number of arguments to a JSON object. json_values - maps a variable number of arguments to JSON values. Use lib_mysqludf_json_info() to obtain information about the currently installed version of lib_mysqludf_json.
json_array
json_array takes a variable number of arguments and returns a string that denotes a javascript array with the arguments as members.
Syntax
json_array([arg1,..,argN]) Parameters and Return Values
[arg1,..,argN] A (possibly empty) list of values of any type. Numeric types are mapped to decimal numbers. Strings, bit and temporal types are mapped to double quoted strings. NULL values are handled as follows: For numeric types, NULL is mapped to NaN. For string types, NULL is mapped to null. The argumentlist maybe empty, which case an string is returned that denotes an empty array. returns A javascript expression that evaluates to an array. Installation
Place the shared library binary in an appropriate location. Log in to mysql as root or as another user with sufficient privileges, and select any database. Then, create the function using the following DDL statement:
CREATE FUNCTION json_array RETURNS STRING SONAME 'lib_mysqludf_json.so';
The function will be globally available in all databases.
The deinstall the function, run the following statement:
DROP FUNCTION json_array;
Examples
Create an array of user data:
select json_array( customer_id , first_name , last_name , last_update ) as customer from customer where customer_id =1;
yields this result:
+------------------------------------------+ | customer | +------------------------------------------+ | [1,"MARY","SMITH","2006-02-15 04:57:20"] | +------------------------------------------+
To obtain nested arrays, simply nest the function calls:
select json_array( customer_id , json_array( first_name , last_name ) , last_update ) as customer from customer where customer_id =1;
yields this result:
+--------------------------------------------+ | customer | +--------------------------------------------+ | [1,["MARY","SMITH"],"2006-02-15 04:57:20"] | +--------------------------------------------+
Note that arrays can be nested freely as described. The string returned by the inner json_ function is not escaped by the outer json_ function.
Note that string values are automatically mapped to double-quoted json strings. If need be, special characters are escaped. For example:
select json_array('""');
returns:
+--------------------+ | json_array('""') | +--------------------+ | [""""] | +--------------------+
Sometimes one needs to avoid this automatic escaping. This would be the case for example when storing JSON strings directly in the database. If you want to avoid escaping to map a string value as is, use an alias with the prefix json_.
select json_array('""' json_);
returns:
+--------------------------+ | json_array('""' json_) | +--------------------------+ | [""] | +--------------------------+
The alias is not required when the expression itself already has a name that starts with the json_ prefix. For example, if you have a table with a column called json_data, then the value for that column will not be escaped. If that is actually an undesired effect, and you realy want to escape the value after all, simply use an alias with a prefix not equal to json_.
See Also
json_object json_members
This function can be used to turn an arbitrary list of name-value pairs into a list of JSON object members. Normally, one does not need this function directy, as the automatic mapping offered by json_object is usually sufficient.
One of the things the automatic mapping does not handle well is nesting objects. The json_members function was designed especially for the purpose of easy nesting of objects, and also to work with array-type object memebers.
Syntax
json_members(name1,value1[,..,..,nameN,valueN]) Parameters and Return Values
name1,value1[,..,..,nameN,valueN] A list of name-value pairs. The name is used as a member JSON object member name. The value is used as the value of the member. returns A comma separated list of JSON member names with the associated JSON value. If the name is a constant expression, a check is performed to see if it yields a valid json member name. In that case, a modification is applied to qualified column names in that the qualifier is stripped from the member name. If the name is not a constant expression, no checking is performed at all. The value of the name argument is simply used as-is as member name, which may lead to syntactically invalid JSON expressions.
Installation
Place the shared library binary in an appropriate location. Log in to mysql as root or as another user with sufficient privileges, and select any database. Then, create the function using the following DDL statement:
CREATE FUNCTION json_members RETURNS STRING SONAME 'lib_mysqludf_json.so';
The function will be globally available in all databases.
The deinstall the function, run the following statement:
DROP FUNCTION json_members;
Examples
To obtain nested objects, use this function as an argument for json_object
select json_object( f.last_update , json_members( 'film' , json_object( f.film_id , f.title , f.last_update ) , 'category' , json_object( c.category_id , c.name , c.last_update ) ) ) as film_category from film_category fc inner join film f on fc.film_id = f.film_id inner join category c on fc.category_id = c.category_id where f.film_id =1;
yields a string representing the following JSON object (indentation added for readability):
{ last_update:"2006-02-15 05:03:42" , film:{ "film_id":1 , "title":"ACADEMY DINOSAUR" , "last_update":"2006-02-15 05:03:42" } , category:{ "category_id":6 , "name":"Documentary" , "last_update":"2006-02-15 04:46:27" } }
Note that the result of the inner json_object calls is not escaped. That's because json_members will not automatically escape values from expressions where the literal expression text has the prefix json_. This can pose a problem. If you want to use json_members to map a string in column, no escaping is applied if the column happens to have a name that starts with json_. In those cases, you can use an alias in the function call:
select json_object( json_members( 'data' , json_data data ) ) from json_data_table
See Also
json_object json_object
json_values takes a variable number of arguments, maps them to JSON values and returns a concatenation of these.
Syntax
json_object([arg1,..,argN]) Parameters and Return Values
[arg1,..,argN] A (possibly empty) list of values of any type. The expression text passed as argument is used as member name. This is by design: it makes it very easy to render plain table data as json objects. The expression is checked to verify that it yields a valid javascript identifier.
Sometimes, it is not appropriate to use the expression as member name. In those cases, one can use an alias inside the function call (see examples).
The argument value is the value of the corresponing member.
Numeric types are mapped to decimal numbers. Strings, bit and temporal types are mapped to double quoted strings. NULL values are handled as follows:
For numeric types, NULL is mapped to NaN. For string types, NULL is mapped to null. The argumentlist maybe empty, which case an empty string is returned.
returns A javascript expression that evaluates to an javascript value. Installation
Place the shared library binary in an appropriate location. Log in to mysql as root or as another user with sufficient privileges, and select any database. Then, create the function using the following DDL statement:
CREATE FUNCTION json_object RETURNS STRING SONAME 'lib_mysqludf_json.so';
The function will be globally available in all databases.
The deinstall the function, run the following statement:
DROP FUNCTION json_object;
Examples
Create an object of user data:
select json_object( customer_id , first_name , last_name , last_update ) as customer from customer where customer_id =1;
yields this result:
+---------------------------------------------------------------------------------------+ | customer | +---------------------------------------------------------------------------------------+ | {customer_id:1,first_name:"MARY",last_name:"SMITH",last_update:"2006-02-15 04:57:20"} | +---------------------------------------------------------------------------------------+
Use the json_member function to nest objects:
select json_object( f.last_update , json_members( 'film' , json_object( f.film_id , f.title , f.last_update ) , 'category' , json_object( c.category_id , c.name , c.last_update ) ) ) as film_category from film_category fc inner join film f on fc.film_id = f.film_id inner join category c on fc.category_id = c.category_id where f.film_id =1;
See Also
json_members json_values
json_values takes a variable number of arguments and returns a string that denotes a concatenation of javascript objects
Syntax
json_values([arg1,..,argN]) Parameters and Return Values
[arg1,..,argN] A (possibly empty) list of values of any type. Numeric types are mapped to decimal numbers. Strings, bit and temporal types are mapped to double quoted strings. NULL values are handled as follows:
For numeric types, NULL is mapped to NaN. For string types, NULL is mapped to null. The argumentlist maybe empty, in which case an empty string is returned.
returns A javascript value. Examples
Create an javascript value:
select json_values('json');
Returns: +---------------------+ | json_values('json') | +---------------------+ | "json" | +---------------------+ 1 row in set (0.00 sec)