https://github.com/felixge/go-redis

A redis implementation written in Go.
https://github.com/felixge/go-redis

Last synced: about 2 months ago
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A redis implementation written in Go.

• Host: GitHub
• URL: https://github.com/felixge/go-redis
• Owner: felixge
• Created: 2013-06-16T11:45:53.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2013-06-16T12:06:17.000Z (over 11 years ago)
• Last Synced: 2024-10-11T15:19:24.372Z (2 months ago)
• Language: Go
• Size: 104 KB
• Stars: 54
• Watchers: 6
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# go-redis

A redis implementation in Go.

Thanks to US Airways treating me to an unexpected 9 hour layover at PHL, I

found myself with a little extra time, so I hit the bar and decided to see if I

could implement a Go server implementing the [redis

protocol](file://localhost/Users/felix/Desktop/redis.html) and GET/SET

commands.

I spend probably 2 - 3 hours on this, and the result is kind of neat, as it

seems to perform almost as well as redis itself without attempting any forms of

optimizations yet.

Given that I'm now stuck at BRU, I'll probably implement this in node.js as

well for comparison. To be continued ...

## Running

```

go run main.go

```

## Performance

The numbers below should give you a rough idea, but don't take the numbers too

seriously as I've not done any extensive analysis here.

**go-redis:**

```

$ redis-benchmark -t GET,SET -n 100000

====== SET ======

  100000 requests completed in 1.18 seconds

  50 parallel clients

  3 bytes payload

  keep alive: 1

98.25% <= 1 milliseconds

99.99% <= 2 milliseconds

100.00% <= 2 milliseconds

84459.46 requests per second

====== GET ======

  100000 requests completed in 1.17 seconds

  50 parallel clients

  3 bytes payload

  keep alive: 1

98.33% <= 1 milliseconds

100.00% <= 1 milliseconds

85616.44 requests per second

```

**redis:**

```

$ redis-benchmark -t GET,SET -n 100000

====== SET ======

  100000 requests completed in 1.11 seconds

  50 parallel clients

  3 bytes payload

  keep alive: 1

99.95% <= 1 milliseconds

99.97% <= 2 milliseconds

100.00% <= 2 milliseconds

89847.26 requests per second

====== GET ======

  100000 requests completed in 1.12 seconds

  50 parallel clients

  3 bytes payload

  keep alive: 1

99.95% <= 1 milliseconds

100.00% <= 1 milliseconds

89206.06 requests per second

```