Examples of methods for SQL Server to parse/manipulate field data in Json format
This article brings you relevant knowledge about SQL server, which mainly introduces that SQL SERVER does not have its own parsing json function, and you need to build a function (table-valued function), as follows This article introduces relevant information about SQL Server parsing/manipulating Json format field data. I hope it will be helpful to everyone.
Recommended study: "SQL Tutorial"
1 json storage
Storing json in sqlserver requires Use string type for storage, generally use nvarchar() or varchar() for storage. Do not use text for storage. When using text, json functions are not supported.
2 json operation
Mainly introduces 5 functions:
(1) openJson: open Json string
(2) IsJson: determine a character Is the string in legal Json format? Returns 1 if yes, 0 if no, and null if null.
(3) Json_Value: Extract value from Json string.
(4) Json_Query: Extract objects or arrays from Json strings.
(5) Json_Modify: Update the attribute value in the Json string and return the updated Json string.
Create a new wm_json_demo table:
CREATE TABLE demo_plus.dbo.wm_json_demo ( id int IDENTITY(1,1) NOT NULL, json_detail varchar(max) NOT NULL, CONSTRAINT PK_wm_json_demo PRIMARY KEY (id) );
The following takes wm_json_demo as an example to demonstrate the above five functions related to json operations
INSERT INTO demo_plus.dbo.wm_json_demo (json_detail) VALUES('{"key":3,"value1":10,"value2":[{"vv21":13,"vv22":103}],"value3":null}'); INSERT INTO demo_plus.dbo.wm_json_demo (json_detail) VALUES('{"key":4,"value1":15,"value2":[{"vv21":13,"vv22":103}],"value3":"10"}'); INSERT INTO demo_plus.dbo.wm_json_demo (json_detail) VALUES('{"key":7,"value1":20,"value2":[{"vv21":13,"vv22":103}],"value3":"15"}');
IsJson: Determine whether a string is legal Json Format. Returns 1 if yes, 0 if no, and null if null.
SELECT IsJson(json_detail) as IsJson from demo_plus.dbo.wm_json_demo
Json_Value: Extract value from Json field
Usage: Json_Value (cloumn_name,'$.json_field_name') from table
Json_Query: Extract objects or arrays from Json strings.
Usage: Json_Query (cloumn_name,'$.json_field_name') from table
SELECT JSON_VALUE(json_detail,'$.key') as 'key', JSON_VALUE(json_detail,'$.value1') as value1, JSON_value(json_detail,'$.value2') as value2, JSON_QUERY(json_detail,'$.value2') as value2_query, JSON_VALUE(json_detail,'$.value3') as value3 from demo_plus.dbo.wm_json_demo;
Json_Modify: Update the Json string Property value and returns updated Json string.
JSON_MODIFY(column_name, '$.json_field', 'change_info');
SELECT JSON_MODIFY(json_detail, '$.value1', 11) as json_detail from demo_plus.dbo.wm_json_demo where JSON_VALUE(json_detail, '$.key')= 7;
Recommended study: " SQL tutorial》
The above is the detailed content of Examples of methods for SQL Server to parse/manipulate field data in Json format. 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



HQL and SQL are compared in the Hibernate framework: HQL (1. Object-oriented syntax, 2. Database-independent queries, 3. Type safety), while SQL directly operates the database (1. Database-independent standards, 2. Complex executable queries and data manipulation).

"Usage of Division Operation in OracleSQL" In OracleSQL, division operation is one of the common mathematical operations. During data query and processing, division operations can help us calculate the ratio between fields or derive the logical relationship between specific values. This article will introduce the usage of division operation in OracleSQL and provide specific code examples. 1. Two ways of division operations in OracleSQL In OracleSQL, division operations can be performed in two different ways.

Oracle and DB2 are two commonly used relational database management systems, each of which has its own unique SQL syntax and characteristics. This article will compare and differ between the SQL syntax of Oracle and DB2, and provide specific code examples. Database connection In Oracle, use the following statement to connect to the database: CONNECTusername/password@database. In DB2, the statement to connect to the database is as follows: CONNECTTOdataba

Interpretation of MyBatis dynamic SQL tags: Detailed explanation of Set tag usage MyBatis is an excellent persistence layer framework. It provides a wealth of dynamic SQL tags and can flexibly construct database operation statements. Among them, the Set tag is used to generate the SET clause in the UPDATE statement, which is very commonly used in update operations. This article will explain in detail the usage of the Set tag in MyBatis and demonstrate its functionality through specific code examples. What is Set tag Set tag is used in MyBati

What is Identity in SQL? Specific code examples are needed. In SQL, Identity is a special data type used to generate auto-incrementing numbers. It is often used to uniquely identify each row of data in a table. The Identity column is often used in conjunction with the primary key column to ensure that each record has a unique identifier. This article will detail how to use Identity and some practical code examples. The basic way to use Identity is to use Identit when creating a table.

When Springboot+Mybatis-plus does not use SQL statements to perform multi-table adding operations, the problems I encountered are decomposed by simulating thinking in the test environment: Create a BrandDTO object with parameters to simulate passing parameters to the background. We all know that it is extremely difficult to perform multi-table operations in Mybatis-plus. If you do not use tools such as Mybatis-plus-join, you can only configure the corresponding Mapper.xml file and configure The smelly and long ResultMap, and then write the corresponding sql statement. Although this method seems cumbersome, it is highly flexible and allows us to

Solution: 1. Check whether the logged-in user has sufficient permissions to access or operate the database, and ensure that the user has the correct permissions; 2. Check whether the account of the SQL Server service has permission to access the specified file or folder, and ensure that the account Have sufficient permissions to read and write the file or folder; 3. Check whether the specified database file has been opened or locked by other processes, try to close or release the file, and rerun the query; 4. Try as administrator Run Management Studio as etc.

How to use SQL statements for data aggregation and statistics in MySQL? Data aggregation and statistics are very important steps when performing data analysis and statistics. As a powerful relational database management system, MySQL provides a wealth of aggregation and statistical functions, which can easily perform data aggregation and statistical operations. This article will introduce the method of using SQL statements to perform data aggregation and statistics in MySQL, and provide specific code examples. 1. Use the COUNT function for counting. The COUNT function is the most commonly used
