Java’s JDBC layer. With the client connecting directly to the database, it provides services in the form of jar and requires no extra deployment and dependence. It can be considered as an enhanced version Configuration: Broadcast Readwrite-splitting Background The read/write splitting configured in Java API form can be easily applied to various scenarios without relying on additional jar packages. Users only the complexity of SQL syntax, there are still a few unsupported SQLs. By using SQL parsing in the form of Java API, you can easily integrate into various systems and flexibly customize user requirements

Java’s JDBC layer. With the client connecting directly to the database, it provides services in the form of jar and requires no extra deployment and dependence. It can be considered as an enhanced version Guide: Data Sharding Readwrite-splitting Background The read/write splitting configured in Java API form can be easily applied to various scenarios without relying on additional jar packages. Users only the complexity of SQL syntax, there are still a few unsupported SQLs. By using SQL parsing in the form of Java API, you can easily integrate into various systems and flexibly customize user requirements

Java JDBC layer. With the client end connecting directly to the database, it provides services in the form of a jar and requires no extra deployment and dependence. It can be considered as an enhanced JDBC cloud‐native database agent of the Kubernetes envi‐ ronment, in charge of all database access in the form of a sidecar. It provides a mesh layer interacting with the database, we call this Database Mesh applications and databases. The applications and databases that use Database Mesh to visit databases will form a large grid system, where they just need to be put into the right positions accordingly. They are

Java JDBC layer. With the client end connecting directly to the database, it provides service in the form of jar and requires no extra deployment and dependence. It can be considered as an enhanced JDBC database agent of the Kubernetes en‐ vironment, in charge of all the access to the database in the form of sidecar. It provides a mesh layer interacting with the database, we call this as Database Mesh applications and the database. The application and database that use Database Mesh to visit database will form a large grid system, where they just need to be put into the right position accordingly. They are

JDBC layer. With the client end connecting directly to the database, it provides services in the form of a jar and requires no extra deployment and dependence. It can be considered as an enhanced JDBC cloud‐native database agent of the Kubernetes envi‐ ronment, in charge of all database access in the form of a sidecar. It provides a mesh layer interacting with the database, we call this Database Mesh applications and databases. The applications and databases that use Database Mesh to visit databases will form a large grid system, where they just need to be put into the right positions accordingly. They are

Java’s JDBC layer. With the client connecting directly to the database, it provides services in the form of jar and requires no extra deployment and dependence. It can be considered as an enhanced version Guide: Data Sharding Readwrite-splitting Background The read/write splitting configured in Java API form can be easily applied to various scenarios without relying on additional jar packages. Users only the complexity of SQL syntax, there are still a few unsupported SQLs. By using SQL parsing in the form of Java API, you can easily integrate into various systems and flexibly customize user requirements

Java JDBC layer. With the client end connecting directly to the database, it provides services in the form of a jar and requires no extra deployment and dependence. It can be considered as an enhanced JDBC cloud‐native database agent of the Kubernetes envi‐ ronment, in charge of all database access in the form of a sidecar. It provides a mesh layer interacting with the database, we call this Database Mesh applications and databases. The applications and databases that use Database Mesh to visit databases will form a large grid system, where they just need to be put into the right positions accordingly. They are

Java’s JDBC layer. With the client connecting directly to the database, it provides services in the form of jar and requires no extra deployment and dependence. It can be considered as an enhanced version document, v5.2.0 Readwrite-splitting Background The read/write splitting configured in Java API form can be easily applied to various scenarios without relying on additional jar packages. Users only the complexity of SQL syntax, there are still a few unsupported SQLs. By using SQL parsing in the form of Java API, you can easily integrate into various systems and flexibly customize user requirements

MYBATIS offers the following advantages − Supports stored procedures − MyBatis encapsulates SQL in the form of stored procedures so that business logic can be kept out of the database, and the application is select query using the method selectList. This method returns the data of the selected record in the form of List as shown below − List list = session.selectList("Student.getAll"); resultMaps

properties of http.url, http. method, http.data, etc. Sharding information is transmitted in the form of Header, the key is shardingContext, and the value is in json format. public class HttpJobMain