12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576 |
- ################################################################################
- # Licensed to the Apache Software Foundation (ASF) under one
- # or more contributor license agreements. See the NOTICE file
- # distributed with this work for additional information
- # regarding copyright ownership. The ASF licenses this file
- # to you under the Apache License, Version 2.0 (the
- # "License"); you may not use this file except in compliance
- # with the License. You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- ################################################################################
- import json
- import logging
- import sys
- from pyflink.common import Types
- from pyflink.datastream import StreamExecutionEnvironment
- def show(ds, env):
- ds.print()
- env.execute()
- def basic_operations():
- env = StreamExecutionEnvironment.get_execution_environment()
- env.set_parallelism(1)
- # define the source
- ds = env.from_collection(
- collection=[
- (1, '{"name": "Flink", "tel": 123, "addr": {"country": "Germany", "city": "Berlin"}}'),
- (2, '{"name": "hello", "tel": 135, "addr": {"country": "China", "city": "Shanghai"}}'),
- (3, '{"name": "world", "tel": 124, "addr": {"country": "USA", "city": "NewYork"}}'),
- (4, '{"name": "PyFlink", "tel": 32, "addr": {"country": "China", "city": "Hangzhou"}}')
- ],
- type_info=Types.ROW_NAMED(["id", "info"], [Types.INT(), Types.STRING()])
- )
- # map
- def update_tel(data):
- # parse the json
- json_data = json.loads(data.info)
- json_data['tel'] += 1
- return data.id, json.dumps(json_data)
- show(ds.map(update_tel), env)
- # (1, '{"name": "Flink", "tel": 124, "addr": {"country": "Germany", "city": "Berlin"}}')
- # (2, '{"name": "hello", "tel": 136, "addr": {"country": "China", "city": "Shanghai"}}')
- # (3, '{"name": "world", "tel": 125, "addr": {"country": "USA", "city": "NewYork"}}')
- # (4, '{"name": "PyFlink", "tel": 33, "addr": {"country": "China", "city": "Hangzhou"}}')
- # filter
- show(ds.filter(lambda data: data.id == 1).map(update_tel), env)
- # (1, '{"name": "Flink", "tel": 124, "addr": {"country": "Germany", "city": "Berlin"}}')
- # key by
- show(ds.map(lambda data: (json.loads(data.info)['addr']['country'],
- json.loads(data.info)['tel']))
- .key_by(lambda data: data[0]).sum(1), env)
- # ('Germany', 123)
- # ('China', 135)
- # ('USA', 124)
- # ('China', 167)
- if __name__ == '__main__':
- logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")
- basic_operations()
|