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Introduction to Java Basics to Practical Applications: Practical Design of Distributed Systems

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Release: 2024-05-07 11:39:01
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Answer: Build a distributed file system to enable multiple users to access files concurrently. Design: Underlying file system: Apache HDFS Distributed message bus: Kafka Coordination service: ZooKeeper

Introduction to Java Basics to Practical Applications: Practical Design of Distributed Systems

Java basic entry to practical application: distributed system practical design

Introduction

A distributed system is a system that runs on multiple computers and communicates and coordinates work with each other. In modern software development, distributed systems have become ubiquitous and can be used to build highly scalable and fault-tolerant applications.

Prerequisites

  • Basic Java programming knowledge
  • Basic understanding of distributed systems

Content

1. Distributed system concept

  • CAP Theorem
  • Distributed Consistency Protocol
  • Distributed transactions

2. Distributed messaging

  • Message queue
  • Protocol buffer
  • Kafka, RabbitMQ and other practical cases

3. Remote procedure call

  • Remote method invocation (RMI)
  • Web service
  • gRPC practical case

4. Distributed coordination

  • Distributed lock
  • Leadership Candidate election
  • Consul, ZooKeeper practical case

5. Microservice architecture

  • Microservice division and design
  • Communication between microservices
  • Docker and Kubernetes practical case

6. Fault tolerance and resilience

  • Replication and failure Transfer
  • Circuit and fuse
  • Sentry, Hystrix practical case

##Practical case: distributed file system

Problem:

We need to build a distributed file system that allows multiple users to access the same set of files concurrently.

Design:

    Use Apache HDFS as the underlying file system
  • Use Kafka as the distributed message bus
  • Use ZooKeeper as a Coordination Service

Implementation:

// 导入必需的库
import org.apache.hadoop.hdfs.DistributedFileSystem;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.zookeeper.ZooKeeper;

// 主类
public class DistributedFileSystem {

    // 创建分布式文件系统
    private DistributedFileSystem hdfsClient;

    // 创建 Kafka 生产者
    private Producer<String, String> kafkaProducer;

    // 创建 ZooKeeper 客户端
    private ZooKeeper zookeeperClient;

    // 构造函数
    public DistributedFileSystem() {
        // ... 初始化客户端
    }

    // 创建文件
    public boolean createFile(String path, String data) {
        // ... 执行操作
    }

    // 更新文件
    public boolean updateFile(String path, String data) {
        // ... 执行操作
    }

    // ... 其它方法
}
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Conclusion

By following this guide, you will be able to master Key concepts in distributed systems design and building practical distributed applications. With the provided code examples and practical examples, you can quickly get started building scalable, fault-tolerant, and efficient systems using Java.

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