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Table of Contents
1. Round-Robin (polling)
2. Least-Conn (minimum connection)
3. IP_Hash (hash based on client IP)
Home Operation and Maintenance Nginx What are the different load balancing methods in Nginx (round-robin, least_conn, ip_hash)?

What are the different load balancing methods in Nginx (round-robin, least_conn, ip_hash)?

Jul 06, 2025 am 12:47 AM

Nginx supports three common load balancing methods: round-robin, least_conn and ip_hash. 1. Round-robin distributes requests in sequence, which is suitable for scenarios with similar back-end performance, with simple configuration but no real-time load considerations; 2. Least_conn sends requests to the server with the smallest number of connections, suitable for services with unstable response times, and can allocate load more reasonably; 3. IP_hash allocates fixed servers according to client IP hash, used in scenarios where session consistency is required, but the server downtime affects the corresponding user. These three methods basically meet the usage needs of most open source users.

What are the different load balancing methods in Nginx (round-robin, least_conn, ip_hash)?

Nginx supports multiple load balancing methods, and you can choose the appropriate method according to different business scenarios. Common ones include round-robin (polling) , least_conn (minimum connection) and ip_hash (hash based on client IP) .

Let’s take a look at their applicable scenarios and configuration methods.


1. Round-Robin (polling)

This is Nginx's default load balancing algorithm. It assigns requests in sequence in order of server list, and each request is sent to different servers on the backend in turn.

  • Applicable scenarios : Suitable for scenarios where back-end servers have similar performance and no dependencies.
  • Features : The implementation is simple and fairly distributed requests, but does not take into account the actual load situation of the current server.

Configuration example:

 upstream backend {
    server 192.168.0.1;
    server 192.168.0.2;
    server 192.168.0.3;
}

Note: Even if you do not write the round_robin keyword, it will be effective by default.


2. Least-Conn (minimum connection)

This strategy sends new requests to the backend server with the lowest number of connections currently.

  • Applicable scenarios : suitable for services that consume a lot of time and vary in processing long connections or requests, such as uploading large files, real-time data push, etc.
  • Advantages : It can more intelligently avoid some server overload.

Configuration example:

 upstream backend {
    least_conn;
    server 192.168.0.1;
    server 192.168.0.2;
    server 192.168.0.3;
}

This method is especially suitable for situations where the response time of the backend service is unstable.


3. IP_Hash (hash based on client IP)

This method does hashing calculation based on the client's IP address and decides which server to which request is distributed. Requests from the same IP are always assigned to the same backend server.

  • Applicable scenarios : Scenarios that need to maintain session consistency, such as web applications that do not use session sharing.
  • Note : If a server goes down, the request of that part of the users may go wrong.

Configuration example:

 upstream backend {
    ip_hash;
    server 192.168.0.1;
    server 192.168.0.2;
    server 192.168.0.3;
}

If you are doing login maintenance without sharing sessions, you can prioritize this method.


In addition to these three, Nginx Plus (commercial version) also supports more advanced methods, such as hash instructions to cooperate with cookies or uri for more flexible scheduling. But for most open source users, the above types can already meet most of the needs.

Basically that's it.

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