Diameter stack and Base Protocol for the Go programming language
Go Shell
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
diam Go-diameter README update & code cleanup. Apr 12, 2018
docs nas dict + reference rfc 7155 Oct 18, 2015
examples
.gitignore
.travis.yml
AUTHORS
CONTRIBUTORS Cleanup, add micrypt Feb 20, 2016
LICENSE
README.md
TODO

README.md

Diameter Base Protocol

Package go-diameter is an implementation of the Diameter Base Protocol RFC 6733 and a stack for the Go programming language.

GoDoc

Status

The current implementation is solid and works fine for general purpose clients and servers. It can send and receive messages efficiently as well as build and parse AVPs based on dictionaries.

See the API documentation at http://godoc.org/github.com/fiorix/go-diameter

Build Status

Features

  • Comprehensive XML dictionary format
  • Embedded dictionaries:
  • Human readable AVP representation (for debugging)
  • TLS, IPv4 and IPv6 support for both clients and servers
  • Stack based on net/http for simplicity
  • Ships with sample client, server, snoop agent and benchmark tool
  • State machines for CER/CEA and DWR/DWA for clients and servers
  • TCP and SCTP support. SCTP support relies on kernel SCTP implementation and external github.com/ishidawataru/sctp package and is currently tested and enabled for Go 1.8+ and x86 Linux

Install

go-diameter requires at least Go 1.4.

Make sure Go is installed, and both GOPATH and GOROOT are set.

Install:

go get github.com/fiorix/go-diameter/diam

Check out the examples:

cd $GOPATH/src/github.com/fiorix/go-diameter/examples

See the test cases for more specific examples.

Performance

Clients and servers written with the go-diameter package can be quite performant if done well. Besides Go benchmarks, the package ships with a simple benchmark tool to help testing servers and identifying bottlenecks.

In the examples directory, the server has a pprof (http server) that allows the go pprof tool to profile the server in real time. The client can perform benchmarks using the -bench command line flag.

For better performance, avoid logging diameter messages. Although logging is very useful for debugging purposes, it kills performance due to a number of conversions to make messages look pretty. If you run benchmarks on the example server, make sure to use the -s (silent) command line switch.

TLS degrades performance a bit, as well as reflection (Unmarshal). Those are important trade offs you might have to consider.

Besides this, the source code (and sub-packages) have function benchmarks that can help you understand what's fast and isn't. You will see that parsing messages is much slower than writing them, for example. This is because in order to parse messages it makes numerous dictionary lookups for AVP types, to be able to decode them. Encoding messages require less lookups and is generally simpler, thus faster.