MySQL中json字段的操作方法
MySQL5.7.8中引入了json字段,這種類型的字段使用的頻率比較低,但是在實(shí)際操作中,有些業(yè)務(wù)仍然在用,我們以此為例,介紹下json字段的操作方法:
還是從例子看起:
mysql> create table test1(id int,info json); Query OK, 0 rows affected (0.02 sec) mysql> insert into test1 values (1,'{"name":"yeyz","age":26}'),(2,'{"name":"zhangsan","age":30}'),(3,'{"name":"lisi","age":35}'); Query OK, 3 rows affected (0.02 sec) Records: 3 Duplicates: 0 Warnings: 0 mysql> select * from test1; +------+---------------------------------+ | id | info | +------+---------------------------------+ | 1 | {"age": 26, "name": "yeyz"} | | 2 | {"age": 30, "name": "zhangsan"} | | 3 | {"age": 35, "name": "lisi"} | +------+---------------------------------+ 3 rows in set (0.00 sec)
首先我們創(chuàng)建了一個(gè)表test1,其中id是int字段,info是json字段,插入了三條數(shù)據(jù),如上:
mysql> select * from test1 where json_extract(info,"$.age")>=30; +------+---------------------------------+ | id | info | +------+---------------------------------+ | 2 | {"age": 30, "name": "zhangsan"} | | 3 | {"age": 35, "name": "lisi"} | +------+---------------------------------+ 2 rows in set (0.00 sec)
我們可以通過(guò)json_extract的方法得到j(luò)son中的內(nèi)容。其中:
1、$符號(hào)代表的是json的根目錄,
2、我們使用$.age相當(dāng)于取出來(lái)了json中的age字段,
3、當(dāng)然,在函數(shù)最前面,應(yīng)該寫上字段名字info
下面來(lái)看json中常用的函數(shù):
a、json_valid判斷是否是json字段,如果是,返回1,如果不是,返回0
mysql> select json_valid(2); +---------------+ | json_valid(2) | +---------------+ | 0 | +---------------+ 1 row in set (0.01 sec) mysql> select json_valid('{"num":2}'); +-------------------------+ | json_valid('{"num":2}') | +-------------------------+ | 1 | +-------------------------+ 1 row in set (0.00 sec) mysql> select json_valid('2'); +-----------------+ | json_valid('2') | +-----------------+ | 1 | +-----------------+ 1 row in set (0.00 sec) mysql> select json_valid('name'); +--------------------+ | json_valid('name') | +--------------------+ | 0 | +--------------------+ 1 row in set (0.00 sec)
這里需要注意的是,如果傳入了字符串2,那么,返回結(jié)果是1
b、json_keys傳回執(zhí)行json字段最上一層的key值
mysql> select json_keys('{"name":"yeyz","score":100}'); +------------------------------------------+ | json_keys('{"name":"yeyz","score":100}') | +------------------------------------------+ | ["name", "score"] | +------------------------------------------+ 1 row in set (0.01 sec) mysql> select json_keys('{"name":"yeyz","score":{"math":100,"English":95}}'); +----------------------------------------------------------------+ | json_keys('{"name":"yeyz","score":{"math":100,"English":95}}') | +----------------------------------------------------------------+ | ["name", "score"] | +----------------------------------------------------------------+ 1 row in set (0.00 sec) #如果有多層,可以在最后面使用$的方法,拿到其中的某一層的目錄 mysql> select json_keys('{"name":"yeyz","score":{"math":100,"English":95}}','$.score'); +--------------------------------------------------------------------------+ | json_keys('{"name":"yeyz","score":{"math":100,"English":95}}','$.score') | +--------------------------------------------------------------------------+ | ["math", "English"] | +--------------------------------------------------------------------------+ 1 row in set (0.00 sec)
c、json_length函數(shù),返回最上一層的key個(gè)數(shù),如果想取到中間的某一層,則可以使用$的方法,如下:
mysql> select json_length('{"name":"yeyz","score":{"math":100,"English":95},"age":26}'); +---------------------------------------------------------------------------+ | json_length('{"name":"yeyz","score":{"math":100,"English":95},"age":26}') | +---------------------------------------------------------------------------+ | 3 | +---------------------------------------------------------------------------+ 1 row in set (0.00 sec) mysql> select json_length('{"name":"yeyz","score":{"math":100,"English":95},"age":26}','$.score'); +-------------------------------------------------------------------------------------+ | json_length('{"name":"yeyz","score":{"math":100,"English":95},"age":26}','$.score') | +-------------------------------------------------------------------------------------+ | 2 | +-------------------------------------------------------------------------------------+ 1 row in set (0.00 sec)
d、json_depth函數(shù),json文件的深度,測(cè)試?yán)尤缦拢?/p>
mysql> select json_depth('{"aaa":1}'),json_depth('{}'); +-------------------------+------------------+ | json_depth('{"aaa":1}') | json_depth('{}') | +-------------------------+------------------+ | 2 | 1 | +-------------------------+------------------+ 1 row in set (0.00 sec) mysql> select json_depth('{"name":"yeyz","score":{"math":100,"English":95},"age":26}'); +--------------------------------------------------------------------------+ | json_depth('{"name":"yeyz","score":{"math":100,"English":95},"age":26}') | +--------------------------------------------------------------------------+ | 3 | +--------------------------------------------------------------------------+ 1 row in set (0.00 sec)
這里需要注意的是,形如{'aa':1}這種形式的json,其深度是2
e、json_contains_path函數(shù)檢索json中是否有一個(gè)或者多個(gè)成員。
mysql> set @j='{"a":1,"b":2,"c":{"d":4}}'; Query OK, 0 rows affected (0.00 sec) #one的意思是只要包含一個(gè)成員,就返回1 mysql> select json_contains_path(@j,'one','$.a','$.e'); +------------------------------------------+ | json_contains_path(@j,'one','$.a','$.e') | +------------------------------------------+ | 1 | +------------------------------------------+ 1 row in set (0.00 sec) #all的意思是所有的成員都包含,才返回1 mysql> select json_contains_path(@j,'all','$.a','$.e'); +------------------------------------------+ | json_contains_path(@j,'all','$.a','$.e') | +------------------------------------------+ | 0 | +------------------------------------------+ 1 row in set (0.01 sec) mysql> select json_contains_path(@j,'one','$.c.d'); +--------------------------------------+ | json_contains_path(@j,'one','$.c.d') | +--------------------------------------+ | 1 | +--------------------------------------+ 1 row in set (0.00 sec) mysql> select json_contains_path(@j,'one','$.a.d'); +--------------------------------------+ | json_contains_path(@j,'one','$.a.d') | +--------------------------------------+ | 0 | +--------------------------------------+ 1 row in set (0.00 sec)
f、json_type函數(shù),判斷json中的成員的類型,需要和json_extract結(jié)合起來(lái)使用。
mysql> select * from test1; +------+---------------------------------+ | id | info | +------+---------------------------------+ | 1 | {"age": 26, "name": "yeyz"} | | 2 | {"age": 30, "name": "zhangsan"} | | 3 | {"age": 35, "name": "lisi"} | +------+---------------------------------+ 3 rows in set (0.00 sec) #判斷name的類型 mysql> select json_type(json_extract(info,"$.name")) from test1; +----------------------------------------+ | json_type(json_extract(info,"$.name")) | +----------------------------------------+ | STRING | | STRING | | STRING | +----------------------------------------+ 3 rows in set (0.00 sec) #判斷age的類型 mysql> select json_type(json_extract(info,"$.age")) from test1; +---------------------------------------+ | json_type(json_extract(info,"$.age")) | +---------------------------------------+ | INTEGER | | INTEGER | | INTEGER | +---------------------------------------+ 3 rows in set (0.00 sec) #判斷name和age組合起來(lái)的類型,可以看到是array mysql> select json_type(json_extract(info,"$.name","$.age")) from test1; +------------------------------------------------+ | json_type(json_extract(info,"$.name","$.age")) | +------------------------------------------------+ | ARRAY | | ARRAY | | ARRAY | +------------------------------------------------+ 3 rows in set (0.00 sec)
g、*的作用,所有的值,看下面的例子。
{ "a":1, "b":2, "c": { "d":4 } "e": { "d": { "ddd": "5" } } } mysql> set @j='{"a":1,"b":2,"c":{"d":4},"e":{"d":{"ddd":"5"}}}'; Query OK, 0 rows affected (0.00 sec) #所有成員 mysql> select json_extract(@j,'$.*'); +---------------------------------------+ | json_extract(@j,'$.*') | +---------------------------------------+ | [1, 2, {"d": 4}, {"d": {"ddd": "5"}}] | +---------------------------------------+ 1 row in set (0.00 sec) #所有成員中的d成員 mysql> select json_extract(@j,'$.*.d'); +--------------------------+ | json_extract(@j,'$.*.d') | +--------------------------+ | [4, {"ddd": "5"}] | +--------------------------+ 1 row in set (0.00 sec)
以上就是MySQL中json字段的操作方法的詳細(xì)內(nèi)容,更多關(guān)于MySQL json字段的資料請(qǐng)關(guān)注腳本之家其它相關(guān)文章!
相關(guān)文章
phpmyadmin報(bào)錯(cuò):#2003 無(wú)法登錄 MySQL服務(wù)器的解決方法
通過(guò)phpmyadmin連接mysql數(shù)據(jù)庫(kù)時(shí)提示:“2003 無(wú)法登錄 MySQL服務(wù)器”。。。很明顯這是沒(méi)有啟動(dòng)mysql服務(wù),右擊我的電腦-管理-找到服務(wù),找到mysql啟動(dòng)一下2012-04-04使用MySQL的yum源安裝MySQL5.7數(shù)據(jù)庫(kù)的方法
這篇文章主要介紹了使用MySQL的yum源安裝MySQL5.7數(shù)據(jù)庫(kù)的方法的相關(guān)資料,需要的朋友可以參考下2016-08-08Mysql systemctl start mysqld報(bào)錯(cuò)的問(wèn)題解決
最近運(yùn)行Mysql發(fā)現(xiàn)報(bào)錯(cuò),本文就來(lái)介紹一下Mysql systemctl start mysqld報(bào)錯(cuò)的問(wèn)題解決,需要的朋友們下面隨著小編來(lái)一起學(xué)習(xí)學(xué)習(xí)吧2021-06-06MySQL數(shù)據(jù)庫(kù)表分區(qū)注意事項(xiàng)大全【推薦】
這篇文章主要介紹了MySQL數(shù)據(jù)庫(kù)表分區(qū)注意事項(xiàng)相關(guān)內(nèi)容,比較全面,這里分享給大家,需要的朋友可以參考。2017-10-10MySQL做讀寫分離提高性能緩解數(shù)據(jù)庫(kù)壓力
這篇文章主要為大家介紹了MySQL做讀寫分離提高性能緩解數(shù)據(jù)庫(kù)壓力的技巧詳解,有需要的朋友可以借鑒參考下,希望能夠有所幫助,祝大家多多進(jìn)步,早日升職加薪2023-05-05關(guān)于MySQL的存儲(chǔ)過(guò)程與存儲(chǔ)函數(shù)
存儲(chǔ)過(guò)程是在大型數(shù)據(jù)庫(kù)系統(tǒng)中,一組為了完成特定功能的SQL?語(yǔ)句集(這些SQL語(yǔ)句已經(jīng)編譯過(guò)了),它存儲(chǔ)在數(shù)據(jù)庫(kù)中,一次編譯后永久有效,需要的朋友可以參考下2023-05-05