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protobuf_producer.py
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protobuf_producer.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2020 Confluent Inc.
#
# Licensed 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.
#
#
# This is a simple example of the SerializingProducer using protobuf.
#
# To regenerate Protobuf classes you must first install the protobuf
# compiler. Once installed you may call protoc directly or use make.
#
# See the protocol buffer docs for instructions on installing and using protoc.
# https://developers.google.com/protocol-buffers/docs/pythontutorial
#
# After installing protoc execute the following command from the examples
# directory to regenerate the user_pb2 module.
# `make`
#
import argparse
from uuid import uuid4
from six.moves import input
# Protobuf generated class; resides at ./user_pb2.py
import user_pb2
from confluent_kafka import SerializingProducer
from confluent_kafka.serialization import StringSerializer
from confluent_kafka.schema_registry import SchemaRegistryClient
from confluent_kafka.schema_registry.protobuf import ProtobufSerializer
def delivery_report(err, msg):
"""
Reports the failure or success of a message delivery.
Args:
err (KafkaError): The error that occurred on None on success.
msg (Message): The message that was produced or failed.
Note:
In the delivery report callback the Message.key() and Message.value()
will be the binary format as encoded by any configured Serializers and
not the same object that was passed to produce().
If you wish to pass the original object(s) for key and value to delivery
report callback we recommend a bound callback or lambda where you pass
the objects along.
"""
if err is not None:
print("Delivery failed for User record {}: {}".format(msg.key(), err))
return
print('User record {} successfully produced to {} [{}] at offset {}'.format(
msg.key(), msg.topic(), msg.partition(), msg.offset()))
def main(args):
topic = args.topic
schema_registry_conf = {'url': args.schema_registry}
schema_registry_client = SchemaRegistryClient(schema_registry_conf)
protobuf_serializer = ProtobufSerializer(user_pb2.User,
schema_registry_client,
{'use.deprecated.format': True})
producer_conf = {'bootstrap.servers': args.bootstrap_servers,
'key.serializer': StringSerializer('utf_8'),
'value.serializer': protobuf_serializer}
producer = SerializingProducer(producer_conf)
print("Producing user records to topic {}. ^C to exit.".format(topic))
while True:
# Serve on_delivery callbacks from previous calls to produce()
producer.poll(0.0)
try:
user_name = input("Enter name: ")
user_favorite_number = int(input("Enter favorite number: "))
user_favorite_color = input("Enter favorite color: ")
user = user_pb2.User(name=user_name,
favorite_color=user_favorite_color,
favorite_number=user_favorite_number)
producer.produce(topic=topic, partition=0, key=str(uuid4()), value=user,
on_delivery=delivery_report)
except (KeyboardInterrupt, EOFError):
break
except ValueError:
print("Invalid input, discarding record...")
continue
print("\nFlushing records...")
producer.flush()
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="SerializingProducer Example")
parser.add_argument('-b', dest="bootstrap_servers", required=True,
help="Bootstrap broker(s) (host[:port])")
parser.add_argument('-s', dest="schema_registry", required=True,
help="Schema Registry (http(s)://host[:port]")
parser.add_argument('-t', dest="topic", default="example_serde_protobuf",
help="Topic name")
main(parser.parse_args())