| ################################################################################ |
| # 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() |