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Install K8S on VM and spring boot integration.

Installation Environment Vmware Workstation pro  It is recommended to use the  snapshot  to store the state of each installation stage to avoid installation failures and causing the installation to start from scratch. Ubuntu 22.04 windows 11 Hardware settings  create 3 VM: 4 cores and 4G memory and 100G capacity Before installing K8s (All use the root user) set host: 192.168.47.135 master 192.168.47.131 node1 192.168.47.132 node2 set root ssh connection: sudo su - echo "PermitRootLogin yes" >> /etc/ssh/sshd_config systemctl restart sshd sudo passwd ssh-keygen for i in {master,node1,node2}; do  ssh-copy-id root@$i; done set Ipvs and conf  create conf file: for i in {master,node1,node2}; do ssh root@$i 'cat << EOF > /etc/modules-load.d/containerd.conf overlay br_netfilter EOF'; done execute conf: for i in {master,node1,node2}; do ssh root@$i 'modprobe overlay;modprobe br_netfilter;'; done create 99-kubernetes-cri.conf file: for i in {master,node1,
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Annotation

Design pattern

Annotations are an implementation of the decorator design pattern.

The decorator pattern is a design pattern that allows behavior to be added to an individual object, dynamically, without affecting the behavior of other objects from the same class.


Annotations in Java

Annotations, a form of metadata, provide data about a program that is not part of the program itself. Annotations have no direct effect on the operation of the code they annotate.

Annotations have a number of uses:

  • Information for the compiler: Annotations can be used by the compiler to detect errors or suppress warnings
  • Compile-time and deployment-time processing: Software tools can process annotation information to generate code, XML files, and so forth.
  • Runtime processing:  Some annotations are available to be examined at runtime.

Annotations in Spring

Spring uses annotations extensively as a core feature, especially Spring AOP, and almost all the functions we use in Spring rely on Spring annotations.
Essentially, it is a way for adding behavior to existing code without modifying that code.


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Install K8S on VM and spring boot integration.

Installation Environment Vmware Workstation pro  It is recommended to use the  snapshot  to store the state of each installation stage to avoid installation failures and causing the installation to start from scratch. Ubuntu 22.04 windows 11 Hardware settings  create 3 VM: 4 cores and 4G memory and 100G capacity Before installing K8s (All use the root user) set host: 192.168.47.135 master 192.168.47.131 node1 192.168.47.132 node2 set root ssh connection: sudo su - echo "PermitRootLogin yes" >> /etc/ssh/sshd_config systemctl restart sshd sudo passwd ssh-keygen for i in {master,node1,node2}; do  ssh-copy-id root@$i; done set Ipvs and conf  create conf file: for i in {master,node1,node2}; do ssh root@$i 'cat << EOF > /etc/modules-load.d/containerd.conf overlay br_netfilter EOF'; done execute conf: for i in {master,node1,node2}; do ssh root@$i 'modprobe overlay;modprobe br_netfilter;'; done create 99-kubernetes-cri.conf file: for i in {master,node1,
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ShardingSphere

Table of contents [ hide ]  ShardingSphere The distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database. ShardingJDBC ShardingSphere-JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. ShardingProxy ShardingSphere-Proxy is a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. Core Concept 1. Virtual Database Provides a virtual database with sharding capabilities, allowing applications to be easily used as a single database 2. Real Database The database that stores real data in the shardingShereDatasource instance for use by ShardingSphere 3. Logic Table Tables used by the application 4. Real Table In the table that stores real data, the data structure is the same as the logical table. The application maintains the mapping between the logical table and the real table. All real tables map to ShardingSpher
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SOLID

SOLID is the fundamental and core principle of OOP. Single-Responsibility Principle High cohesion: A module preferably has only one business logic. Low coupling:   The different modules work independently and are connected by simple protocols to minimize side effects. Open-Closed Principle Open for extension:  It is easy to extend new functions with existing code. Close for modification:  Do not modify existing classes to ensure stable functions. Liskov-Substitution Principle A superclass should be replaceable with objects of its subclasses without breaking the application. Interface-Segregation Principle Clients only depend on the interfaces they need, don't use the "big" interface to contain everything. Dependence-Inversion Principle The program should depend upon abstractions, not concretions. reference: https://en.wikipedia.org/wiki/SOLID https://blog.knoldus.com/what-is-liskov-substitution-principle-lsp-with-real-world-examples/ https://github.com/hollischuang/toBeTo
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