apache / dubbo-python

Python Client For Apache Dubbo

Python Client For Apache Dubbo

Achieve load balancing on the client side、auto discovery service function with Zookeeper

Python calls the Dubbo interface's jsonrpc protocol

Please use dubbo-rpc-jsonrpc and configure protocol in Dubbo for jsonrpc protocol
Reference https://github.com/apache/incubator-dubbo-rpc-jsonrpc

Installation

Download code
python setup.py install
pip install
pip install dubbo-client==1.0.0b5 Git install
pip install git+http://git.dev.qianmi.com/tda/[email protected]
or
pip install git+https://github.com/qianmiopen/[email protected]

Load balancing on the client side, service discovery

Get the registration information of the service through the zookeeper of the registry.
Dubbo-client-py supports configuring multiple zookeeper service addresses. "host":"192.168.1.183:2181,192.168.1.184:2181,192.168.1.185:2181"
Then the load balancing algorithm is implemented by proxy, and the server is called.
Support Version and Group settings.

Example

    config = ApplicationConfig('test_rpclib')
    service_interface = 'com.ofpay.demo.api.UserProvider'
    #Contains a connection to zookeeper, which needs caching.
    registry = ZookeeperRegistry('192.168.59.103:2181', config)
    user_provider = DubboClient(service_interface, registry, version='1.0')
    for i in range(1000):
    try:
        print user_provider.getUser('A003')
        print user_provider.queryUser(
            {u'age': 18, u'time': 1428463514153, u'sex': u'MAN', u'id': u'A003', u'name': u'zhangsan'})
        print user_provider.queryAll()
        print user_provider.isLimit('MAN', 'Joe')
        print user_provider('getUser', 'A005')

    except DubboClientError, client_error:
        print client_error
    time.sleep(5)

TODO

Optimize performance, minimize the impact of service upper and lower lines.
Support Retry parameters
Support weight call
Unit test coverage

Licenses

Apache License

Thanks

Thank @jingpeicomp for being a Guinea pig. It has been running normally for several months in the production environment. Thank you!