This article mainly tells you how to build a redis cluster and the issues that need to be paid attention to during the process. It is very good and recommended to everyone. Friends in need can refer to it
Here , build a 6-node redis pseudo-cluster on a Linux virtual machine. The idea is very simple. Open 6 redis instances on a virtual machine, and each redis instance has its own port. In this case, it is equivalent to simulating 6 machines, and then building a redis cluster using these 6 instances.
Premise: redis has been installed, the directory is /usr/local/redis-4.0.1 If not, you can refer to the article Installing redis under windows Installing redis under Linux
redis cluster is used ruby script, so to execute the script, a ruby environment is required. Corresponding to redis-trib.rb in the src directory of the redis source code, redis-trib.rb is a tool officially launched by redis to manage redis clusters. It is based on the cluster commands provided by redis and is encapsulated into a simple, convenient and practical operating tool. so
Install ruby environment:
1.yum install ruby
2 .yum install rubygems
3.gem install redis
Centos supports ruby to 2.0.0 by default, and redis requires a minimum of 2.2.2. The solution is to install rvm first and then upgrade the ruby version to 2.3.3.
1.sudo yum install curl
2. Install rvm
##curl -L get.rvm.io | bash -s stable
source /usr/local/rvm/scripts/rvm
rvm list known
rvm install 2.3.3
rvm remove 2.0.0
ruby --version
gem install redis
redis cluster construction
Modify the redis-conf files under the node respectively, because On a machine (192.16819.129), so each instance should have a different port; at the same time, each instance will obviously have its own place to store data; turn on AOF mode; turn on cluster configuration; turn on background mode;
Start the redis service and see if it can be started. ok no problem.
Create the startall.sh script (the prompt permission denied indicates insufficient permissions, execute the command chmod 777 startall.sh to modify the permissions)
Start the startall.sh script
Create the stopall.sh script
You can see that redis-trib.rb has the following functions:
- check: Check the cluster
- info: View the cluster information
- fix: Repair the cluster
- reshard: Online migration slot
- rebalance: Balance the number of cluster node slots
- add-node: Add new nodes to the cluster
- del-node: Delete the node from the cluster
- set-timeout: Set the timeout for the heartbeat connection between cluster nodes
- call: Execute the command on all nodes in the cluster
- import: Import external redis data into the cluster
redis-trib.rb mainly has two classes: ClusterNode
and RedisTrib
. ClusterNode
saves the information of each node, RedisTrib
is the implementation of each function of redis-trib.rb
Note: It prompts at least 3 master cluster nodes. It was said that 6 are created before, but in actual operation I only created 3 nodes, so it can be concluded that when we create a redis cluster, we need at least three master nodes, and it should be an odd number, so, no Be lazy and create three more.
Special note: The key here is the optional replicas parameter. --replicas 2 means to allocate 2 slaves to each master. replicas means how many slaves are needed. It can be successfully created without filling in this parameter, so there are three masters. We will introduce the replicas parameter later
First of all, --replicas 1 1 actually represents a ratio, which is the number of master nodes/ The proportion of slave nodes. So think about it, when creating a cluster, which nodes are the master nodes? Which nodes are slave nodes? The answer is that the order of IP:PORT in the command will be followed, first 3 master nodes, then 3 slave nodes.
Secondly, pay attention to the concept of slot in the picture. For Redis cluster, slot is a place to store data, it is a slot. For each Master, there will be a slot range, but the Slave does not. In the Redis cluster, the Master can still read and write, while the Slave can only read. The writing of data is actually distributed and stored in slots, which is different from the previous master-slave mode of 1.X (Master/Slave data storage in master-slave mode is completely consistent), because 3 The data storage of each Master is different. This will be verified in subsequent essays.
The above is the detailed content of Redis cluster building tutorial and problem solving. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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