How to use mysql5.6 to parse JSON strings
mysql5.6 解析JSON字符串
支持复杂的嵌套格式
废话不多说,先上代码。
CREATE FUNCTION `json_parse`(`jsondata` longtext,`keyname` text) RETURNS text CHARSET utf8 BEGIN DECLARE delim VARCHAR(128); DECLARE result longtext; DECLARE startpos INTEGER; DECLARE endpos INTEGER; DECLARE endpos1 INTEGER; DECLARE findpos INTEGER; DECLARE leftbrace INTEGER; DECLARE tmp longtext; DECLARE tmp2 longtext; DECLARE Flag INTEGER; SET delim = CONCAT('"', keyname, '": "'); SET startpos = locate(delim,jsondata); IF startpos > 0 THEN SET findpos = startpos+length(delim); SET leftbrace = 1; SET endpos = 0; SET Flag =1; get_token_loop: repeat IF substr(jsondata,findpos,2)='\\"' THEN SET findpos = findpos + 2; iterate get_token_loop; ELSEIF substr(jsondata,findpos,2)='\\\\' THEN SET findpos = findpos + 2; iterate get_token_loop; ELSEIF substr(jsondata,findpos,1)='"' AND Flag = 1 THEN SET endpos = findpos; SET findpos = LENGTH(jsondata)+1; leave get_token_loop; END IF; SET findpos = findpos + 1; UNTIL findpos > LENGTH(jsondata) END repeat; IF endpos > 0 THEN SELECT substr( jsondata ,startpos +length(delim)#取出value值的起始位置 ,endpos#取出value值的结束位置 -( startpos +length(delim) )#减去value值的起始位置,得到value值字符长度 ) INTO result FROM DUAL; SET result= replace(result,'\\"','"'); SET result= replace(result,'\\\\','\\'); ELSE SET result=null; END IF; /* SELECT substr( jsondata ,locate(delim,jsondata) +length(delim)#取出value值的起始位置 ,locate( '"' ,jsondata ,locate(delim,jsondata) +length(delim) )#取出value值的结束位置 -( locate(delim,jsondata) +length(delim) )#减去value值的起始位置,得到value值字符长度 ) INTO result FROM DUAL; */ ELSE SET delim = CONCAT('"', keyname, '": {'); SET startpos = locate(delim,jsondata); IF startpos > 0 THEN SET findpos = startpos+length(delim); SET leftbrace = 0; SET endpos = 0; SET Flag =0; get_token_loop: repeat IF substr(jsondata,findpos,2)='{"' THEN SET leftbrace = leftbrace + 1; SET findpos = findpos + 2; iterate get_token_loop; ELSEIF substr(jsondata,findpos,2)='\\"' THEN SET findpos = findpos + 2; iterate get_token_loop; ELSEIF substr(jsondata,findpos,3)=': "' THEN SET Flag = 1; SET findpos = findpos + 3; iterate get_token_loop; ELSEIF substr(jsondata,findpos,1)='"' THEN SET Flag = 0; ELSEIF substr(jsondata,findpos,1)='}' AND Flag = 0 THEN IF leftbrace > 0 THEN SET leftbrace = leftbrace - 1; ELSE SET endpos = findpos; SET findpos = LENGTH(jsondata)+1; END IF; END IF; SET findpos = findpos + 1; UNTIL findpos > LENGTH(jsondata) END repeat; IF endpos > 0 THEN SELECT substr( jsondata ,startpos +length(delim)#取出value值的起始位置 ,endpos#取出value值的结束位置 -( startpos +length(delim) )#减去value值的起始位置,得到value值字符长度 ) INTO result FROM DUAL; SET result=CONCAT("{",result, '}'); ELSE SET result=null; END IF; ELSE SET delim = CONCAT('"', keyname, '": ['); SET startpos = locate(delim,jsondata); IF startpos > 0 THEN SET findpos = startpos+length(delim); SET leftbrace = 0; SET endpos = 0; SET tmp = substring_index(jsondata,delim,-1); SET tmp2 = substring_index(tmp,']',1); IF locate('[',tmp2) =0 THEN SET endpos = locate(']',tmp); SET endpos = endpos+findpos-1; ELSE get_token_loop: repeat IF substr(jsondata,findpos,2)='\\"' THEN SET findpos = findpos + 2; iterate get_token_loop; ELSEIF substr(jsondata,findpos,3)=': "' THEN SET Flag = 1; SET findpos = findpos + 3; iterate get_token_loop; ELSEIF substr(jsondata,findpos,1)='[' AND Flag = 0 THEN SET leftbrace = leftbrace + 1; SET findpos = findpos + 1; iterate get_token_loop; ELSEIF substr(jsondata,findpos,1)='"' THEN SET Flag = 0; ELSEIF substr(jsondata,findpos,1)=']' AND Flag = 0 THEN IF leftbrace > 0 THEN SET leftbrace = leftbrace - 1; ELSE SET endpos = findpos; SET findpos = LENGTH(jsondata)+1; END IF; END IF; SET findpos = findpos + 1; UNTIL findpos > LENGTH(jsondata) END repeat; END IF; IF endpos > 0 THEN SELECT substr( jsondata ,startpos +length(delim)#取出value值的起始位置 ,endpos#取出value值的结束位置 -( locate(delim,jsondata) +length(delim) )#减去value值的起始位置,得到value值字符长度 ) INTO result FROM DUAL; SET result=CONCAT("[",result, ']'); ELSE SET result=null; END IF; ELSE SET delim = CONCAT('"', keyname, '": '); SET startpos = locate(delim,jsondata); IF startpos > 0 THEN SET endpos = locate(',',jsondata,startpos+length(delim)); SET endpos1 = locate('}',jsondata,startpos+length(delim)); IF endpos>0 OR endpos1>0 THEN IF endpos1>0 AND endpos1 < endpos OR endpos =0 THEN SET endpos = endpos1; END IF; SELECT substr( jsondata ,startpos +length(delim)#取出value值的起始位置 ,endpos#取出value值的结束位置 -( locate(delim,jsondata) +length(delim) )#减去value值的起始位置,得到value值字符长度 ) INTO result FROM DUAL; IF STRCMP(result,'null')=0 THEN SET result=null; END IF; ELSE SET result=null; END IF; ELSE SET result=null; END IF; END IF; END IF; END IF; if result='' and RIGHT(keyname,2)='Id' then SET result=null; end if; RETURN result; END
jsondata需要严格的json格式(注意逗号和分号以及双引号之间的空格)
SET jsondata='{"CurrentPage": 1, "data": [{"config": "123"}, {"config": "456"}], "PageSize": 10}' SELECT json_parse(jsondata, 'CurrentPage') INTO CurrentPage; SELECT json_parse(jsondata, 'data') INTO data;
这边如果想获取config的内容,可以这样处理
SET count = (LENGTH(data)-LENGTH(REPLACE(data,'},','')))/2+1; SET i = 0; WHILE i < count DO SET SetObject = SUBSTRING_INDEX(SUBSTRING_INDEX(data,'},',i+1),'},',-1); IF LENGTH(SetObject)>0 THEN SELECT json_parse(SetObject, 'config') INTO config; END IF; SET i = i + 1; END WHILE;
不足之处,jsondata数据多的情况下,会有效率问题。
mysql5.6及以下解析json方法
之前在公司发现在线的查询平台是MySQL5.6,不能用JSON_EXTRACT,也不能用存储过程,所以只能自己编了一个简单的小查询,几条数据还是能查的,如果数据量大的话,估计耗的资源就会比较多。
先说一下问题的背景
是想在'{"platform":"Android","source":"tt","details":null}'这一串东西里面找到source这个key对应的value值。
这个方法是先找到source":"这个字符串的起始位置和长度,这样就能够找到value值的起始位置;再找到这个字符串以后第一个"出现的位置,就能得到value值的结束位置。
再利用substr函数,就可以取出对应的位置。
下面是对应的代码
SELECT '{"platform":"Android","source":"tt","details":null}' as 'sample' ,substr( '{"platform":"Android","source":"tt","details":null}' ,locate('source":"','{"platform":"Android","source":"tt","details":null}') +length('source":"')#取出value值的起始位置 ,locate( '"' ,'{"platform":"Android","source":"tt","details":null}' ,locate('source":"','{"platform":"Android","source":"tt","details":null}') +length('source":"') )#取出value值的结束位置 -( locate('source":"','{"platform":"Android","source":"tt","details":null}') +length('source":"') )#减去value值的起始位置,得到value值字符长度 ) as result FROM DUAL
运行以后,就得到result的结果,就是tt。如果需要其他元素,就替换一下对应的key值和字段,就好了。
The above is the detailed content of How to use mysql5.6 to parse JSON strings. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

To fill in the MySQL username and password: 1. Determine the username and password; 2. Connect to the database; 3. Use the username and password to execute queries and commands.

1. Use the correct index to speed up data retrieval by reducing the amount of data scanned select*frommployeeswherelast_name='smith'; if you look up a column of a table multiple times, create an index for that column. If you or your app needs data from multiple columns according to the criteria, create a composite index 2. Avoid select * only those required columns, if you select all unwanted columns, this will only consume more server memory and cause the server to slow down at high load or frequency times For example, your table contains columns such as created_at and updated_at and timestamps, and then avoid selecting * because they do not require inefficient query se

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

Detailed explanation of database ACID attributes ACID attributes are a set of rules to ensure the reliability and consistency of database transactions. They define how database systems handle transactions, and ensure data integrity and accuracy even in case of system crashes, power interruptions, or multiple users concurrent access. ACID Attribute Overview Atomicity: A transaction is regarded as an indivisible unit. Any part fails, the entire transaction is rolled back, and the database does not retain any changes. For example, if a bank transfer is deducted from one account but not increased to another, the entire operation is revoked. begintransaction; updateaccountssetbalance=balance-100wh

Copy and paste in MySQL includes the following steps: select the data, copy with Ctrl C (Windows) or Cmd C (Mac); right-click at the target location, select Paste or use Ctrl V (Windows) or Cmd V (Mac); the copied data is inserted into the target location, or replace existing data (depending on whether the data already exists at the target location).

View the MySQL database with the following command: Connect to the server: mysql -u Username -p Password Run SHOW DATABASES; Command to get all existing databases Select database: USE database name; View table: SHOW TABLES; View table structure: DESCRIBE table name; View data: SELECT * FROM table name;
