Mastering Twemproxy: A Fast Redis/Memcached Proxy for Scalable Caching
This article explains how Twemproxy (nutcracker) works as a high‑performance proxy for Redis and Memcached, outlines its key features and limitations, and provides step‑by‑step installation and configuration instructions for building a reliable, scalable caching layer.
1. Twemproxy Overview
When handling large numbers of Redis or Memcached instances, client‑side sharding algorithms such as consistent hashing are often used to achieve clustering. Before Redis Cluster became production‑ready, many deployments used a proxy layer to provide clustered storage.
Twitter, which runs one of the world’s largest Redis clusters, open‑sourced Twemproxy (also called nutcracker) as a Redis/Memcached proxy.
Twemproxy is a fast single‑threaded proxy written in C, supporting the Memcached ASCII protocol and newer Redis protocol. It is licensed under Apache 2.0 and runs on Linux (it cannot be compiled on macOS because it depends on the epoll API).
By inserting a proxy layer, Twemproxy unifies management and distribution of multiple backend Redis or Memcached instances, allowing applications to interact only with Twemproxy without needing to know the number or location of the actual storage nodes.
2. Twemproxy Features
Automatic removal of failed nodes
Configurable reconnection delay
Node removal after a configurable number of failures
Suitable for cache storage
HashTag support
Allows custom mapping of two keys to the same backend instance
Reduces direct connections to Redis
Maintains persistent connections
Configurable number of connections per backend
Automatic sharding across multiple Redis instances
Multiple hash algorithms, including consistent hashing
Configurable backend instance weights
Avoids single‑point failures
Multiple proxy instances can be deployed in parallel; clients automatically select an available one
Supports Redis pipelining
Streaming and batch request handling to reduce round‑trip overhead
State monitoring
Configurable monitoring IP/port returning JSON status
Adjustable monitoring refresh interval
High throughput
Connection and memory reuse
Aggregates multiple requests into Redis pipelining
Twemproxy can also be extended by modifying Redis source code to extract a middle‑layer proxy; its performance benefits from Linux epoll for high concurrency.
3. Limitations
Does not support multi‑key operations such as set intersections/unions (except MGET and DEL)
No support for Redis transactions
Error messages are not very detailed
Does not support the SELECT command
4. Installation and Configuration
Installation steps (see the GitHub repository https://github.com/twitter/twemproxy ):
apt-get install automake
apt-get install libtool
git clone git://github.com/twitter/twemproxy.git
cd twemproxy
autoreconf -fvi
./configure --enable-debug=log
make
src/nutcracker -hTypical configuration (example):
redis1:
listen: 127.0.0.1:6379 # port for Twemproxy
redis: true # proxying Redis
hash: fnv1a_64 # hash function
distribution: ketama # hash algorithm
auto_eject_hosts: true # eject unresponsive nodes
timeout: 400 # ms
server_retry_timeout: 2000
server_failure_limit: 1
servers:
- 127.0.0.1:6380:1
- 127.0.0.1:6381:1
- 127.0.0.1:6382:1
redis2:
listen: 0.0.0.0:10000
redis: true
hash: fnv1a_64
distribution: ketama
auto_eject_hosts: false
timeout: 400
servers:
- 127.0.0.1:6379:1
- 127.0.0.1:6380:1
- 127.0.0.1:6381:1
- 127.0.0.1:6382:1Multiple Twemproxy instances can be run simultaneously, each handling read/write operations, allowing applications to completely avoid single‑point failures.
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