################################################################################
# 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()