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This article mainly explains "what are the usage scenarios of zookeeper". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Now let the editor take you to learn "what are the usage scenarios of zookeeper"?

Generally speaking, the usage scenarios of zookeeper are as follows. I'll just give you a few simple ones. I wish you could just say a few:

Distributed coordination

Distributed lock

Metadata / configuration information management

HA high availability

Distributed coordination

This is actually a classic use of zookeeper. To put it simply, it is like, your system A sends a request to mq, and then system B consumes the message and then processes it. So how does system A know the processing results of system B? The coordination between distributed systems can be realized by using zookeeper. After sending a request, system A can register a listener on the value of a node on zookeeper. Once system B has finished processing, it can modify the value of that node in zookeeper, and A can immediately receive a notification and solve it perfectly.

Distributed lock

Give me a chestnut. Two consecutive modification operations are issued to a certain data, and two machines receive requests at the same time, but only one machine can execute the other machine first. Then the zookeeper distributed lock can be used at this time. After receiving the request, a machine first acquires a distributed lock on the zookeeper, that is, it can create a znode and then performs the operation; then another machine also tries to create that znode, only to find that it cannot create it, because it has been created by someone else, so it can only wait until the first machine has finished executing it.

Metadata / configuration information management

Zookeeper can be used to manage the configuration information of many systems, such as kafka, storm and many other distributed systems will choose zookeeper to manage some metadata and configuration information, including dubbo registry also supports zookeeper?

HA high availability

This should be very common. For example, many big data systems, such as hadoop, hdfs, yarn, and so on, choose to develop HA high availability mechanism based on zookeeper, that is, an important process usually acts as an active and standby process, and the main process immediately senses switching to the standby process through zookeeper.

Distributed transaction series:

Overview of Spring distributed transaction implementation

Distributed transaction implementation of REST Micro Services-fallback pattern using Spring Cloud

Distributed transaction implementation of Spring-with and without XA

Distributed transaction implementation of REST Micro Services-based on message Middleware

Distributed transaction implementation of REST Micro Services-introduction to distributed system, transaction and JTA

Design of a treasure transaction architecture

Talk about distributed transactions in vernacular

Distributed transaction solution

Message queue series:

Why use message queuing?

How to ensure the high availability of message queues?

How to ensure that messages are not consumed repeatedly? In other words, how to ensure the idempotency of message consumption?

How to ensure the reliable transmission of messages? Or, how to deal with the problem of message loss?

How to ensure the sequence of messages?

How to solve the delay and expiration of message queues? What should I do when the message queue is full?

Sub-library and sub-table series:

Why do you want to divide the database and table?

How to design to make the system switch from never sub-database sub-table to sub-database sub-table dynamically?

How to design a sub-database and sub-table scheme that can dynamically expand and reduce capacity?

After the sub-library and sub-table, how to deal with the id primary key?

At this point, I believe you have a deeper understanding of "what are the scenarios for the use of zookeeper?" you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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