commit | 9acfd064b6a24f1176452d785388cb1a415eb3e1 | [log] [tgz] |
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author | zhaowei7146 <zhaowei7146@fiberhome.com> | Thu Nov 08 10:12:46 2018 +0800 |
committer | zhaowei7146 <zhaowei7146@fiberhome.com> | Thu Nov 08 10:12:46 2018 +0800 |
tree | f379ceb5ec30029fc19b11364f3b7cc1bbc573a8 | |
parent | 5ab6c6e056429e35071da37a18e6eb32f129c74c [diff] |
The content is duplicated in the README.md and needs to be deleted
Please use dubbo-rpc-jsonrpc and configure protocol in Dubbo for jsonrpc protocol
Reference https://github.com/apache/incubator-dubbo-rpc-jsonrpc
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/dubbo-client-py.git@1.0.0b5
or
pip install git+https://github.com/qianmiopen/dubbo-client-py.git@1.0.0b5
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.
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)
Optimize performance, minimize the impact of service upper and lower lines.
Support Retry parameters
Support weight call
Unit test coverage
Apache License
Thank @jingpeicomp for being a Guinea pig. It has been running normally for several months in the production environment. Thank you!