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eos-transactions.py
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eos-transactions.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 a `read-process-write` application
# using Apache Kafka's transactional API.
#
# See the following blog for additional information:
# https://www.confluent.io/blog/transactions-apache-kafka/
#
"""
The following example demonstrates how to perform a consume-transform-produce
loop with exactly-once semantics.
In order to achieve exactly-once semantics we use the transactional producer
and a single transaction aware consumer.
The following assumptions apply to the source data (input_topic below):
1. There are no duplicates in the input topic.
## A quick note about exactly-once-processing guarantees and Kafka. ##
The exactly once, and idempotence, guarantees start after the producer has been
provided a record. There is no way for a producer to identify a record as a
duplicate in isolation. Instead it is the application's job to ensure that only
a single copy of any record is passed to the producer.
Special care needs to be taken when expanding the consumer group to multiple
members.
Review KIP-447 for complete details.
"""
import argparse
from base64 import b64encode
from uuid import uuid4
from confluent_kafka import Producer, Consumer, KafkaError, TopicPartition
def process_input(msg):
"""
Base64 encodes msg key/value contents
:param msg:
:returns: transformed key, value
:rtype: tuple
"""
key, value = None, None
if msg.key() is not None:
key = b64encode(msg.key())
if msg.value() is not None:
value = b64encode(msg.value())
return key, value
def delivery_report(err, msg):
"""
Reports message delivery status; success or failure
:param KafkaError err: reason for delivery failure
:param Message msg:
:returns: None
"""
if err:
print('Message delivery failed ({} [{}]): {}'.format(
msg.topic(), str(msg.partition()), err))
def main(args):
brokers = args.brokers
group_id = args.group_id
input_topic = args.input_topic
input_partition = args.input_partition
output_topic = args.output_topic
consumer = Consumer({
'bootstrap.servers': brokers,
'group.id': group_id,
'auto.offset.reset': 'earliest',
# Do not advance committed offsets outside of the transaction.
# Consumer offsets are committed along with the transaction
# using the producer's send_offsets_to_transaction() API.
'enable.auto.commit': False,
'enable.partition.eof': True,
})
# Prior to KIP-447 being supported each input partition requires
# its own transactional producer, so in this example we use
# assign() to a single partition rather than subscribe().
# A more complex alternative is to dynamically create a producer per
# partition in subscribe's rebalance callback.
consumer.assign([TopicPartition(input_topic, input_partition)])
producer = Producer({
'bootstrap.servers': brokers,
'transactional.id': 'eos-transactions.py'
})
# Initialize producer transaction.
producer.init_transactions()
# Start producer transaction.
producer.begin_transaction()
eof = {}
msg_cnt = 0
print("=== Starting Consume-Transform-Process loop ===")
while True:
# serve delivery reports from previous produce()s
producer.poll(0)
# read message from input_topic
msg = consumer.poll(timeout=1.0)
if msg is None:
continue
topic, partition = msg.topic(), msg.partition()
if msg.error():
if msg.error().code() == KafkaError._PARTITION_EOF:
eof[(topic, partition)] = True
print("=== Reached the end of {} [{}] at {}====".format(
topic, partition, msg.offset()))
if len(eof) == len(consumer.assignment()):
print("=== Reached end of input ===")
break
continue
# clear EOF if a new message has been received
eof.pop((topic, partition), None)
msg_cnt += 1
# process message
processed_key, processed_value = process_input(msg)
# produce transformed message to output topic
producer.produce(output_topic, processed_value, processed_key,
on_delivery=delivery_report)
if msg_cnt % 100 == 0:
print("=== Committing transaction with {} messages at input offset {} ===".format(
msg_cnt, msg.offset()))
# Send the consumer's position to transaction to commit
# them along with the transaction, committing both
# input and outputs in the same transaction is what provides EOS.
producer.send_offsets_to_transaction(
consumer.position(consumer.assignment()),
consumer.consumer_group_metadata())
# Commit the transaction
producer.commit_transaction()
# Begin new transaction
producer.begin_transaction()
msg_cnt = 0
print("=== Committing final transaction with {} messages ===".format(msg_cnt))
# commit processed message offsets to the transaction
producer.send_offsets_to_transaction(
consumer.position(consumer.assignment()),
consumer.consumer_group_metadata())
# commit transaction
producer.commit_transaction()
consumer.close()
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Exactly Once Semantics (EOS) example")
parser.add_argument('-b', dest="brokers", required=True,
help="Bootstrap broker(s) (host[:port])")
parser.add_argument('-t', dest="input_topic", required=True,
help="Input topic to consume from, an external " +
"producer needs to produce messages to this topic")
parser.add_argument('-o', dest="output_topic", default="output_topic",
help="Output topic")
parser.add_argument('-p', dest="input_partition", default=0, type=int,
help="Input partition to consume from")
parser.add_argument('-g', dest="group_id",
default="eos_example_" + str(uuid4()),
help="Consumer group")
main(parser.parse_args())