MySQL JSON數據類型操作

JSON MySQL NoSQL 技術 為偉web開發 為偉web開發 2017-10-26

概述

mysql自5.7.8版本開始,就支持了json結構的數據存儲和查詢,這表明了mysql也在不斷的學習和增加nosql數據庫的有點。但mysql畢竟是關係型數據庫,在處理json這種非結構化的數據時,還是比較彆扭的。

創建一個JSON字段的表

首先先創建一個表,這個表包含一個json格式的字段:

CREATE TABLE table_name ( id INT NOT NULL AUTO_INCREMENT, json_col JSON, PRIMARY KEY(id));

上面的語句,主要注意json_col這個字段,指定的數據類型是JSON。

插入一條簡單的JSON數據

INSERT INTO table_name (json_col)VALUES ('{"City": "Galle", "Description": "Best damn city in the world"}');

上面這個SQL語句,主要注意VALUES後面的部分,由於json格式的數據裡,需要有雙引號來標識字符串,所以,VALUES後面的內容需要用單引號包裹。

插入一條複雜的JSON數據

INSERT INTO table(col)VALUES('{"opening":"Sicilian","variations":["pelikan","dragon","najdorf"]}');

這地方,我們插入了一個json數組。主要還是注意單引號和雙引號的問題。

修改JSON數據

之前的例子中,我們插入了幾條JSON數據,但是如果我們想修改JSON數據裡的某個內容,怎麼實現了?比如我們向 variations 數組裡增加一個元素,可以這樣:

UPDATE myjson SET dict=JSON_ARRAY_APPEND(dict,'$.variations','scheveningen') WHERE id = 2;

這個SQL語句中,$符合代表JSON字段,通過.號索引到variations字段,然後通過JSON_ARRAY_APPEND函數增加一個元素。現在我們執行查詢語句:

SELECT * FROM myjson

得到的結果是:

+----+-----------------------------------------------------------------------------------------+| id | dict |+---+-----------------------------------------------------------------------------------------+| 2 | {"opening": "Sicilian", "variations": ["pelikan", "dragon", "najdorf", "scheveningen"]} |+----+-----------------------------------------------------------------------------------------+1 row in set (0.00 sec)

關於MySQL中,JSON數據的獲取方法,參照官方鏈接JSON Path Syntax

創建索引

MySQL的JSON格式數據不能直接創建索引,但是可以變通一下,把要搜索的數據單獨拎出來,單獨一個數據列,然後在這個字段上鍵一個索引。下面是官方的例子:

mysql> CREATE TABLE jemp ( -> c JSON, -> g INT GENERATED ALWAYS AS (c->"$.id"), -> INDEX i (g) -> );Query OK, 0 rows affected (0.28 sec)mysql> INSERT INTO jemp (c) VALUES > ('{"id": "1", "name": "Fred"}'), ('{"id": "2", "name": "Wilma"}'), > ('{"id": "3", "name": "Barney"}'), ('{"id": "4", "name": "Betty"}');Query OK, 4 rows affected (0.04 sec)Records: 4 Duplicates: 0 Warnings: 0mysql> SELECT c->>"$.name" AS name > FROM jemp WHERE g > 2;+--------+| name |+--------+| Barney || Betty |+--------+2 rows in set (0.00 sec)mysql> EXPLAIN SELECT c->>"$.name" AS name > FROM jemp WHERE g > 2\G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: jemp partitions: NULL type: rangepossible_keys: i key: i key_len: 5 ref: NULL rows: 2 filtered: 100.00 Extra: Using where1 row in set, 1 warning (0.00 sec)mysql> SHOW WARNINGS\G*************************** 1. row *************************** Level: Note Code: 1003Message: /* select#1 */ select json_unquote(json_extract(`test`.`jemp`.`c`,'$.name'))AS `name` from `test`.`jemp` where (`test`.`jemp`.`g` > 2)1 row in set (0.00 sec)

這個例子很簡單,就是把JSON字段裡的id字段,單獨拎出來成字段g,然後在字段g上做索引,查詢條件也是在字段g上。

字符串轉JSON格式

把json格式的字符串轉換成MySQL的JSON類型:

SELECT CAST('[1,2,3]' as JSON) ;SELECT CAST('{"opening":"Sicilian","variations":["pelikan","dragon","najdorf"]}' as JSON);

所有MYSQL JSON函數

NameDescription
JSON_APPEND()Append data to JSON document
JSON_ARRAY()Create JSON array
JSON_ARRAY_APPEND()Append data to JSON document
JSON_ARRAY_INSERT()Insert into JSON array-> Return value from JSON column after evaluating path; equivalent to JSON_EXTRACT().
JSON_CONTAINS()Whether JSON document contains specific object at path
JSON_CONTAINS_PATH()Whether JSON document contains any data at path
JSON_DEPTH()Maximum depth of JSON document
JSON_EXTRACT()Return data from JSON document->> Return value from JSON column after evaluating path and unquoting the result; equivalent to JSON_UNQUOTE(JSON_EXTRACT()).
JSON_INSERT()Insert data into JSON document
JSON_KEYS()Array of keys from JSON document
JSON_LENGTH()Number of elements in JSON document
JSON_MERGE()Merge JSON documents, preserving duplicate keys. Deprecated synonym for JSON_MERGE_PRESERVE()
JSON_MERGE_PRESERVE()Merge JSON documents, preserving duplicate keys
JSON_OBJECT()Create JSON object
JSON_QUOTE()Quote JSON document
JSON_REMOVE()Remove data from JSON document
JSON_REPLACE()Replace values in JSON document
JSON_SEARCH()Path to value within JSON document
JSON_SET()Insert data into JSON document
JSON_TYPE()Type of JSON value
JSON_UNQUOTE()Unquote JSON value
JSON_VALID()Whether JSON value is valid

轉載自博客捕蛇者說:http://www.bugcode.cn/mysqljson.html

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