Mysql chooses the JSON data type to store json strings. The benefits are: 1. It allows the storage of JSON data of any structure without the need to define a clear mode in advance; 2. The JSON data can be queried directly in MySQL. , filtering, sorting and aggregation operations; 3. Use effective compression and optimization technology to reduce storage space usage; 4. MySQL can create indexes to speed up queries on JSON attributes and improve retrieval performance.
Operating system for this tutorial: Windows 10 system, MySQL 8 version, Dell G3 computer.
In MySQL, you can use the JSON data type to store and operate data in JSON format. The JSON data type was introduced in MySQL version 5.7 and above.
To store JSON strings, you can use the JSON or JSONB data type. The JSON type stores and retrieves JSON data, while the JSONB type not only stores and retrieves JSON data, it also provides more advanced query functions and index support. The choice between the two depends on your specific needs.
The following are the benefits of using the JSON data type to store JSON strings:
Flexible data storage: The JSON data type allows the storage of JSON data of any structure without the need for advance Well-defined patterns. This makes storing and processing complex, mutable JSON structures very convenient.
Simplified data query: Using JSON functions and operators, you can directly query, filter, sort and aggregate JSON data in MySQL, reducing the need to process JSON at the application level. Data complexity.
Reduce data redundancy: When the JSON data type stores JSON data, it will use effective compression and optimization technology to reduce storage space usage.
Support index: When using the JSONB type to store JSON data, MySQL can create indexes to speed up queries on JSON attributes and improve retrieval performance.
To store a JSON string, you can use an INSERT or UPDATE statement to store the JSON string directly into a JSON type column. For example:
CREATE TABLE my_table ( id INT, json_data JSON ); INSERT INTO my_table (id, json_data) VALUES (1, '{"name": "John", "age": 25}');
In order to better take advantage of the JSON data type, you should understand and use some of the built-in functions and operators provided by MySQL, such as JSON_EXTRACT(), JSON_SET(), ->, -> >Waiting for retrieval and modification of JSON data.
It should be noted that columns storing JSON data types are not suitable for frequently modifying and updating large JSON objects, because each modification requires rewriting the entire JSON object. In this case, you may want to consider splitting the JSON data into multiple related tables or using other solutions for storage and processing.
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return json_encode(array('code'=>1,'msg'=>'成功'));
}else{
return json_encode(array('code'=>0,'msg'=>'失败'));
}
}
public function
}