################################################################################ # 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.datastream import StreamExecutionEnvironment def process_json_data(): env = StreamExecutionEnvironment.get_execution_environment() # 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"}}')] ) def update_tel(data): # parse the json json_data = json.loads(data[1]) json_data['tel'] += 1 return data[0], json_data def filter_by_country(data): # the json data could be accessed directly, there is no need to parse it again using # json.loads return "China" in data[1]['addr']['country'] ds.map(update_tel).filter(filter_by_country).print() # submit for execution env.execute() if __name__ == '__main__': logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s") process_json_data()