Build . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 Build&Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 Shutdown ShardingSphere‐Scaling 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 driver, which is fully compatible with databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by

. . . . . . . . . . . . . . . . . . 7 1.3 Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3.1 Deployment . . . . . . . . . . . . . . . . . . . . . chapter mainly introduces what Apache ShardingSphere is, as well as its design philosophy and deployment architecture. For frequently asked questions, please refer to FAQ. 1.1 What is ShardingSphere dialect operates data, and the database type that interacts with storage nodes. 1.3 Deployment 1.3.1 Deployment Apache ShardingSphere includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐

Build . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 Build&Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 Shutdown . . . . . . 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 driver, which is fully compatible with necting 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 driver, which is fully compatible with

L3 Ecosystem Layer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.3.1 Using which SQL dialect operates data, and the database type that interacts with storage nodes. 1.3 Deployment Apache ShardingSphere includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐ 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 of the JDBC driver, which is fully

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 driver, which is fully compatible with necting 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 driver, which is fully compatible with databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by

2.3.3 L3 Ecosystem Layer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3 Deployment 7 3.1 Using ShardingSphere‐JDBC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . type that interacts with storage nodes. 2.3. Pluggable: Building database function ecology 6 3 Deployment Apache ShardingSphere includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐ 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 of the JDBC driver, which is fully

2.3.3 L3 Ecosystem Layer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3 Deployment 7 3.1 Using ShardingSphere‐JDBC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . type that interacts with storage nodes. 2.3. Pluggable: Building database function ecology 6 3 Deployment Apache ShardingSphere includes two independent clients: ShardingSphere‐JDBC & ShardingSphere‐ 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 of the JDBC driver, which is fully

Build . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 Build&Deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 Shutdown . . . . . . 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 driver, which is fully compatible with necting 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 driver, which is fully compatible with

. . . . . . . 72 Application deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Operation and maintenance platform and RESTFul API deployment (optional) . . 72 6.3.2 Dump Job the zk authorization upgrade process, there was a false death of the instance during the rolling deployment process, and even if the historical version was rolled back, there was still false death. . . Principle ElasticJob does not have a job scheduling center node, but the programs based on the deployment job framework trigger the scheduling when the corresponding time point is reached. The registration

memory: 2Gi cpu: 200m ## ShardingSphere-Proxy Deployment Configuration ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/ ## ref: https://kubernetes.io/docs/concepts/se