Notice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.4 Pluggable Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.4.1 Background underlying databases fragmentation. The concepts at the core of the project are Connect, Enhance and Pluggable. • Connect: Flexible adaptation of database protocol, SQL dialect and database storage. It can breaker and access limitation and an‐ alyze, QoS and observability). • Pluggable: Leveraging the micro kernel and 3 layers pluggable mode, features and database ecosystem can be embedded flexibily. Developers

Notice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.4 Pluggable Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.4.1 Background underlying databases fragmentation. The concepts at the core of the project are Connect, Enhance and Pluggable. • Connect: Flexible adaptation of database protocol, SQL dialect and database storage. It can breaker and access limitation and an‐ alyze, QoS and observability). • Pluggable: Leveraging the micro kernel and 3 layers pluggable mode, features and database ecosystem can be embedded flexibily. Developers

Notice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.4 Pluggable Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.4.1 Background rather than creating a new database. The concepts at the core of the project are Link, Enhance and Pluggable. • Link: Flexible adaptation of database protocol, SQL dialect and database storage. It can quickly breaker and access limitation and an‐ alyze, QoS and observability). • Pluggable: Leveraging the micro kernel and 3 layers pluggable mode, features and database ecosystem can be embedded flexibily. Developers

5 1.2.2 Enhance: Database computing enhancement engine . . . . . . . . . . . . . . . 5 1.2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . 6 L1 Kernel Layer . . database system. The project includes a JDBC and a Proxy, and its core adopts a micro‐ kernel and pluggable architecture. Thanks to its plugin‐oriented architecture, features can be flexibly expanded at 2. Design Philosophy 5 Apache ShardingSphere document, v5.2.0 1.2.3 Pluggable: Building database function ecology The pluggable architecture of Apache ShardingSphere is composed of three layers ‐ L1

4 1.2.2 Enhance: Database computing enhancement engine . . . . . . . . . . . . . . . 4 1.2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . 4 L1 Kernel Layer . . deformation, redirection, governance, authentication, and analysis. 1.2.3 Pluggable: Building database function ecology The pluggable architecture of Apache ShardingSphere is composed of three layers ‐ L1 jdbc:mysql://localhost:3306/ds_2 username: root password: # Configure other data sources Rules Rules are pluggable part of Apache ShardingSphere. This chapter is a YAML rule configuration manual for ShardingSphere‐JDBC

2.2 Enhance: Database computing enhancement engine . . . . . . . . . . . . . . . . . . . 5 2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . . . . . . 5 2.3.1 L1 Kernel deformation, redirection, governance, authentication, and analysis. 2.3 Pluggable: Building database function ecology The pluggable architecture of Apache ShardingSphere is composed of three layers ‐ L1 which SQL dialect operates data, and the database type that interacts with storage nodes. 2.3. Pluggable: Building database function ecology 6 3 Deployment Apache ShardingSphere includes two independent

Sharding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 3.9 Pluggable Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 3.9.1 Background to focus on its increment instead of a total overturn. Apache ShardingSphere begin to focus on pluggable architecture from version 5.x, features can be em‐ bedded into project flexibility. Currently, Usage TODO Sharding 3.8. Dist SQL 98 Apache ShardingSphere document, v5.0.0-beta TODO 3.9 Pluggable Architecture 3.9.1 Background In Apache ShardingSphere, many functionality implementations are

2.2 Enhance: Database computing enhancement engine . . . . . . . . . . . . . . . . . . . 5 2.3 Pluggable: Building database function ecology . . . . . . . . . . . . . . . . . . . . . . . 5 2.3.1 L1 Kernel deformation, redirection, governance, authentication, and analysis. 2.3 Pluggable: Building database function ecology The pluggable architecture of Apache ShardingSphere is composed of three layers ‐ L1 which SQL dialect operates data, and the database type that interacts with storage nodes. 2.3. Pluggable: Building database function ecology 6 3 Deployment Apache ShardingSphere includes two independent

(2017) Registry Center 3.x (2018) Sharding-Proxy 4.x (2019) Apache ShardingSphere 5.x (2021) To Pluggable Apache ShardingSphere Status 文字 GitHub: https://github.com/apache/shardingsphere OpenSEC: https://community

in ElasticJob 3.x . The new version is based on the design concept of the Apache ShardingSphere pluggable architecture, and the new Job API was created. It is intended to enable developers to expand the