ThriftPy is a pure python implementation of Apache Thrift in a pythonic way.
The official thrift python lib is not pythonic at all, it needs a complicated process of installation, and the generated sdk is very ugly. Everytime the thrift file changed you have to re-generate the sdk which causes more pain in development.
ThriftPy helps that, it's compatible with Apache Thrift so you no longer need to install 'thrift' package, it can import thrift file on the fly so you no longer need to re-generate the sdk again and again and again.
Github: https://github.com/eleme/thriftpy
ThriftPy make it super easy to write server/client code with thrift. Let's checkout this simple pingpong service demo.
We need a 'pingpong.thrift' file:
service PingPong { string ping(), }
Then we can make a server:
import thriftpy
pingpong_thrift = thriftpy.load("pingpong.thrift", module_name="pingpong_thrift")
from thriftpy.rpc import make_server
class Dispatcher(object):
def ping(self):
return "pong"
server = make_server(pingpong_thrift.PingPong, Dispatcher(), '127.0.0.1', 6000)
server.serve()
And a client:
import thriftpy
pingpong_thrift = thriftpy.load("pingpong.thrift", module_name="pingpong_thrift")
from thriftpy.rpc import make_client
client = make_client(pingpong_thrift.PingPong, '127.0.0.1', 6000)
client.ping()
See, it's that easy!
You can refer to 'examples' and 'tests' directory in source code for more usage examples.
Currently ThriftPy have these features (also advantages over the upstream python lib):
Supports Python 2.7, Python 3.4+, PyPy and PyPy3.
Pure python implementation. No longer need to compile & install the 'thrift' package. All you need is thriftpy and thrift file.
Compatible with Apache Thrift. You can use ThriftPy together with the official implementation servers and clients, such as a upstream server with a thriftpy client or the opposite.
Currently implemented protocols and transports:
- binary protocol (python and cython)
- compact protocol (python and cython)
- json protocol
- buffered transport (python & cython)
- framed transport
- tornado server and client (with tornado 4.0)
Can directly load thrift file as module, the sdk code will be generated on the fly.
For example,
pingpong_thrift = thriftpy.load("pingpong.thrift", module_name="pingpong_thrift")
will load 'pingpong.thrift' as 'pingpong_thrift' module.Or, when import hook enabled by
thriftpy.install_import_hook()
, you can directly useimport pingpong_thrift
to import the 'pingpong.thrift' file as module, you may also usefrom pingpong_thrift import PingService
to import specific object from the thrift module.Easy RPC server/client setup.
Install with pip.
$ pip install thriftpy
You may also install cython first to build cython extension locally.
$ pip install cython thriftpy
The Cython accelerating binary protocol is enabled by default for CPython if it's available, but disabled for PyPy.
To force use pure python version of binary protocol, you must import them from the direct module.
from thriftpy.protocol.binary import TBinaryProtocolFactory
from thriftpy.transport.buffered import TBufferedTransportFactory
from thriftpy.transport.framed import TFramedTransportFactory
To load thrift file as better module, provide a module_name in load.
The direct loaded TObjects can't be pickled.
>>> ab = thriftpy.load("addressbook.thrift")
>>> pickle.dumps(ab.AddressBook())
PicklingError: Can't pickle <class 'addressbook.AddressBook'>
TObjects can be pickled when load with module_name provided.
>>> ab = thriftpy.load("addressbook.thrift", "addressbook_thrift")
>>> pickle.dumps(ab.AddressBook())
b'\x80\x03caddressbook_thrift\nAddressBook\nq\x00)\x81q\x01}q\x02X\x06\x00\x00\x00peopleq\x03Nsb.'
You can also use from ... import ... style after a standard module load.
>>> ab = thriftpy.load("addressbook.thrift", "addressbook_thrift")
>>> from addressbook_thrift import *
Some benchmark results:
# apache thrift py binary binary protocol struct benchmark for 100000 times: encode -> 3.74061203003 decode -> 5.02829790115 # apache thrift c binary accelerated protocol struct benchmark for 100000 times: encode -> 0.398949146271 decode -> 0.536000013351 # thriftpy & pypy2.3 binary protocol struct benchmark for 100000 times: encode -> 0.413738965988 decode -> 0.605606079102 # thriftpy & py3.4 binary protocol struct benchmark for 100000 times: encode -> 3.291545867919922 decode -> 4.337666034698486 # thriftpy & py3.4 + cython cybin protocol struct benchmark for 100000 times: encode -> 0.5828649997711182 decode -> 0.8259570598602295
Checkout the benchmark/benchmark.rst for detailed benchmark scripts and scores.
- Fork the repo and make changes.
- Write a test which shows a bug was fixed or the feature works as expected.
- Make sure travis-ci test succeed.
- Send pull request.