What is java distributed architecture?

What is java distributed architecture?

java distributed architecture:

A distributed system is a software system built on the network.

Cohesion means that each database distribution node is highly autonomous and has a local database management system.

Transparency means that each database distribution node is transparent to the user's application, and it cannot be seen whether it is local or remote.

In a distributed database system, users do not feel that the data is distributed, that is, users do not need to know whether the relationship is split, whether there are copies, which site the data is stored on, and which site the transaction is executed on.

To put it simply: In a distributed system, a group of independent computers presents a unified whole to the user, just like a system.

The distributed system as a whole provides services to users, and the internal collaborative users of the entire system are transparent, and the users are just like using a MySQL.

For example, the distributed MySQL middleware-Mycat is used to handle large concurrency and large amounts of data.

Applications of distributed architecture

There are distributed file systems, distributed cache systems, distributed databases, distributed WebServices, and distributed computing

Let’s give an example:

Distributed file system: The famous HDFS of Hadoop, Google’s GFS, Taobao’s TFS, etc.

Distributed cache system: memcache, hbase, mongdb etc.

Distributed databases: MySQL, Mariadb, PostgreSQL, etc.

Take the distributed MySQL database middleware MyCat as an example,

The application of MySQL in current e-commerce and Internet companies There are many, one is because of its free open source, and the other is because of the horizontal scalability of distributed systems. With the rapid increase in mobile Internet users, Internet companies, such as Taobao, Tmall, Vipshop and other e-commerce companies have adopted it. Distributed systems cope with high user concurrency and the storage of large amounts of data.

Among Mycat's business cases, there is a bill settlement project for China Mobile, which uses real-time processing of 200 million data per day during peak periods. In an Internet of Things project, it can process up to 2.6 billion data. volume and provide an interface for real-time query.

Through the study of MyCat, we will deepen our understanding of distributed system architecture, as well as distributed-related technologies, distributed consistency ZooKeeper services, high-availability HAProxy/keepalived and other related applications.

1> Clustering and Distribution

2> Load Balancing

##3> Explanation of terms related to distributed high availability, disaster recovery, etc.

4> Mycat middleware learning

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