호랑이한테물릴래

Local 테스트용 Kafka 브로커, 주키퍼 올리기 with Python 본문

DevOps/Kafka

Local 테스트용 Kafka 브로커, 주키퍼 올리기 with Python

호랑이한테물릴래 2022. 11. 18. 15:54
반응형

Producer와 Consumer는 Python으로 테스트, Broker와 Zookeeper는 Docker로 올려본다. 서버를 EC2로 올리는 건 비용이 들기 때문에 간단한 테스트용으로 추천한다.

(Confluent-Kafka는 개발이 활발하고 다른 버전들보다 여러면에서 스펙이 가장 뛰어나기 때문에 Confluent버전을 사용함) 

1) Confluent-kafka 설치

$ pip install confluent-kafka

 (consumer와 producer 어플리케이션을 위해)

2) Broker와 Zookeeper docker-compose로 올리기

# docker-compose.yml

---
version: '3'
services:
  zookeeper:
    image: confluentinc/cp-zookeeper:7.3.0
    hostname: zookeeper
    container_name: zookeeper
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

  broker:
    image: confluentinc/cp-kafka:7.3.0
    container_name: broker
    ports:
      - "9092:9092"
    depends_on:
      - zookeeper
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_INTERNAL:PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://localhost:9092,PLAINTEXT_INTERNAL://broker:29092
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1

zookeeper는 2181 포트, broker는 9092 포트로 올린다. 기본적으로 replication은 3개 이상 만들어야하지만, 테스트기 때문에 주키퍼와 브로커를 1개씩 올린다.

$ docker compose up -d

3) Configuration 파일 설정

# getting_started.ini

[default]
bootstrap.servers=localhost:9092

[consumer]
group.id=python_example_group_1

# 'auto.offset.reset=earliest' to start reading from the beginning of
# the topic if no committed offsets exist.
auto.offset.reset=earliest

bootstrap.servers는 Broker를 말한다. 컨슈머는 기본적으로 컨슈머 그룹 설정이 필요하기 때문에 Producer와 Consumer 모두 이 구성 파일을 통해 실행한다.

4) broker 토픽 생성하기 

docker compose exec broker \
  kafka-topics --create \
    --topic purchases \
    --bootstrap-server localhost:9092 \
    --replication-factor 1 \
    --partitions 1

5) Producer 코드

#!/usr/bin/env python

import sys
from random import choice
from argparse import ArgumentParser, FileType
from configparser import ConfigParser
from confluent_kafka import Producer

if __name__ == '__main__':
    # Parse the command line.
    parser = ArgumentParser()
    parser.add_argument('config_file', type=FileType('r'))
    args = parser.parse_args()

    # Parse the configuration.
    # See https://github.com/edenhill/librdkafka/blob/master/CONFIGURATION.md
    config_parser = ConfigParser()
    config_parser.read_file(args.config_file)
    config = dict(config_parser['default'])

    # Create Producer instance
    producer = Producer(config)

    # Optional per-message delivery callback (triggered by poll() or flush())
    # when a message has been successfully delivered or permanently
    # failed delivery (after retries).
    def delivery_callback(err, msg):
        if err:
            print('ERROR: Message failed delivery: {}'.format(err))
        else:
            print("Produced event to topic {topic}: key = {key:12} value = {value:12}".format(
                topic=msg.topic(), key=msg.key().decode('utf-8'), value=msg.value().decode('utf-8')))

    # Produce data by selecting random values from these lists.
    topic = "purchases"
    user_ids = ['eabara', 'jsmith', 'sgarcia', 'jbernard', 'htanaka', 'awalther']
    products = ['book', 'alarm clock', 't-shirts', 'gift card', 'batteries']

    count = 0
    for _ in range(10):

        user_id = choice(user_ids)
        product = choice(products)
        producer.produce(topic, product, user_id, callback=delivery_callback)
        count += 1

    # Block until the messages are sent.
    producer.poll(10000)
    producer.flush()

6) Consumer 코드

#!/usr/bin/env python

import sys
from argparse import ArgumentParser, FileType
from configparser import ConfigParser
from confluent_kafka import Consumer, OFFSET_BEGINNING

if __name__ == '__main__':
    # Parse the command line.
    parser = ArgumentParser()
    parser.add_argument('config_file', type=FileType('r'))
    parser.add_argument('--reset', action='store_true')
    args = parser.parse_args()

    # Parse the configuration.
    # See https://github.com/edenhill/librdkafka/blob/master/CONFIGURATION.md
    config_parser = ConfigParser()
    config_parser.read_file(args.config_file)
    config = dict(config_parser['default'])
    config.update(config_parser['consumer'])

    # Create Consumer instance
    consumer = Consumer(config)

    # Set up a callback to handle the '--reset' flag.
    def reset_offset(consumer, partitions):
        if args.reset:
            for p in partitions:
                p.offset = OFFSET_BEGINNING
            consumer.assign(partitions)

    # Subscribe to topic
    topic = "purchases"
    consumer.subscribe([topic], on_assign=reset_offset)

    # Poll for new messages from Kafka and print them.
    try:
        while True:
            msg = consumer.poll(1.0)
            if msg is None:
                # Initial message consumption may take up to
                # `session.timeout.ms` for the consumer group to
                # rebalance and start consuming
                print("Waiting...")
            elif msg.error():
                print("ERROR: %s".format(msg.error()))
            else:
                # Extract the (optional) key and value, and print.

                print("Consumed event from topic {topic}: key = {key:12} value = {value:12}".format(
                    topic=msg.topic(), key=msg.key().decode('utf-8'), value=msg.value().decode('utf-8')))
    except KeyboardInterrupt:
        pass
    finally:
        # Leave group and commit final offsets
        consumer.close()
반응형
0 Comments
댓글쓰기 폼