Using Go in Python

Go(golang) is a very fast and efficient compiled programming language. Much like how you can build Python C-extensions to speed up your python applications, Python developers also have the option to build Go components that are embedded into their python.

A Simple Demonstration

Before you get started, make sure to install golang.

We’ll create a Go file named gcode.go that has a function in it that simply prints a string. Then in Python, we’ll call that function.

Put the following contents into gocode.go :

package main import ( "fmt" "C" ) //export say_hi func say_hi ( txt * C . char ) { fmt . Printf ( C . GoString ( txt )) } func main () {}

The important bit of the Go code is //export say_hi . This tells the Go compiler to export the function to be able to be used in the .so file we’ll build next.

Also, please notice the use of the Go C library to convert C types to Go types.

So, next we compile it into an .so file::

$ go build -buildmode = c-shared -o gcode.so gcode.go

The -buildmode=c-shared bit is important here as we need to create an .so (shared object) file.

Finally, hook it up with python:

import ctypes import os dir_path = os . path . dirname ( os . path . realpath ( __file__ )) lib = ctypes . cdll . LoadLibrary ( os . path . join ( dir_path , 'gcode.so' )) go_say_hi = lib . say_hi go_say_hi . argtypes = [ ctypes . c_char_p ] def say_hi ( txt ): return go_say_hi ( ctypes . c_char_p ( txt . encode ( 'utf8' ))) if __name__ == '__main__' : say_hi ( 'Hello!' )

The Python wiring here relies on ctypes. After getting some of the cruft out of arranging the function signatures, it’s really pretty easy.

Embedding groupcache into Python

groupcache is a great caching library written in Go. It allows Go applications to implement a shared LRU cache and is very fast.

groupcache has one caveat: It is a read-only cache. You can not modify values once they are in the cache. This means, the only way you can do invalidation is by issuing a new key for a cache value.

At Onna, we investigated the feasibility of using groupcache in Python. It ended up being that we couldn’t use it for our use-case; however, since Onna likes to open source all that we can, we wanted to open source the project in case anyone was interested in developing the implementation further.

Of course, our implementation was going to be a guillotina module. You can find the package on the guillotinaweb github organization.

Install the dependencies

Go has it’s own built-in packaging system::

$ go get github.com/golang/groupcache

Integration

From there, it’s using the same method as described above for exposing Go functions to export to the .so and using ctypes in Python to setup the function signatures.

package main import ( "github.com/golang/groupcache" "net/http" "log" "errors" ) import "C" // temporary storage to be able to set data var Store = map [ string ] string {} var peers * groupcache . HTTPPool = nil var cache * groupcache . Group = nil var srv * http . Server = nil //export cache_set func cache_set ( key * C . char , value * C . char ) * C . char { // groupcache does not have a way to set a value in the cache(pass through cache) // so we fake it by setting value in global store and then getting the value immediately.. // Ideally, this is switched out with a backend that retrieves the value // you want to cache var gkey = C . GoString ( key ) var gvalue = C . GoString ( value ) Store [ gkey ] = gvalue ; var data = "" cache . Get ( nil , gkey , groupcache . StringSink ( & data )) delete ( Store , gkey ) return C . CString ( data ) } //export cache_get func cache_get ( key * C . char ) * C . char { var data = "" cache . Get ( nil , C . GoString ( key ), groupcache . StringSink ( & data )) return C . CString ( data ) } //export setup func setup ( addr * C . char ) { go func () { peers = groupcache . NewHTTPPool ( C . GoString ( addr )) cache = groupcache . NewGroup ( "Cache" , 64 << 20 , groupcache . GetterFunc ( func ( ctx groupcache . Context , key string , dest groupcache . Sink ) error { v , ok := Store [ key ] if ! ok { return errors . New ( "cache key not found" ) } dest . SetBytes ([] byte ( v )) return nil })) srv := & http . Server { Addr : C . GoString ( addr ), Handler : http . HandlerFunc ( peers . ServeHTTP )} if err := srv . ListenAndServe (); err != nil { log . Fatal ( "ListenAndServe: " , err ) } }() // do it in a go routine so we don't block log . Print ( "Running cache server node

" ) } //export initialized func initialized () bool { return cache != nil } func main () {}

Finally, the Python wiring::

import ctypes import os dir_path = os . path . dirname ( os . path . realpath ( __file__ )) lib = ctypes . cdll . LoadLibrary ( os . path . join ( dir_path , 'gcache.so' )) gget = lib . cache_get gget . restype = ctypes . c_char_p gget . argtypes = [ ctypes . c_char_p ] def get ( key ): return gget ( ctypes . c_char_p ( key . encode ( 'utf8' ))) gset = lib . cache_set gset . restype = ctypes . c_char_p gset . argtypes = [ ctypes . c_char_p , ctypes . c_char_p ] def set ( key , value ): if not isinstance ( value , bytes ): value = value . encode ( 'utf-8' ) return gset ( ctypes . c_char_p ( key . encode ( 'utf8' )), ctypes . c_char_p ( value )) gsetup = lib . setup gsetup . argtypes = [ ctypes . c_char_p ] def setup ( addr ): gsetup ( ctypes . c_char_p ( addr . encode ( 'utf8' )))

Guillotina caching

The original goal of this was to provide a guillotina database shared cache implementation that was really fast.

We had to abandon it for a redis implementation because dealing the the read-only aspect of the cache came with it’s own complexity and issues.

Final thoughts

Once I understood the initial setup of how to integrate Go with Python, it was really nice to work with. Go is a great language. I am going to consider it instead of c-extensions when I need to optimize my Python code from now on.