Docker-compose搭建Kafka（并开启kafka manage界面）

Docker-compose搭建Kafka

1.目录结构

.
└── docker_kafka
	├── docker-compose.yml
	├── kafka_python.py
    ├── conf
    └── data

2. docker-compose.yml

注意：文件内IP替换成自己本机IP

version: '3.5'
services:
  zookeeper:
    image: wurstmeister/zookeeper
    ports:
      - "2181:2181"
    network_mode: "bridge"
  kafka:
    image: wurstmeister/kafka
    ports:
      - "9092:9092"
    network_mode: "bridge"
    environment:
      KAFKA_ADVERTISED_HOST_NAME: IP
      KAFKA_ZOOKEEPER_CONNECT: IP:2181
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_LOG_RETENTION_HOURS: 120
      KAFKA_MESSAGE_MAX_BYTES: 10000000
      KAFKA_REPLICA_FETCH_MAX_BYTES: 10000000
      KAFKA_GROUP_MAX_SESSION_TIMEOUT_MS: 60000
      KAFKA_NUM_PARTITIONS: 3
      KAFKA_DELETE_RETENTION_MS: 1000
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://IP:9092
    volumes:
      - ./data:/kafka
  kafka-manager:
    image: sheepkiller/kafka-manager
    environment:
      ZK_HOSTS: IP
    ports:
      - "9001:9000"
    network_mode: "bridge"

3.kafka_python.py(python 使用kafka)

a.安装kafka-python第三方包

pip install kafka-python==2.0.2 -i https://pypi.doubanio.com/simple/

b.kafka_python.py

import json
from kafka import KafkaConsumer, TopicPartition
k_topic = 'test'

consumer = KafkaConsumer(k_topic, bootstrap_servers=['IP:9092'],
                         enable_auto_commit=False,
                         auto_offset_reset="earliest",
                         group_id='test')


def get_kafka_left_num(consumer):
    """

    :param consumer: 消费者对象
    :return:
    """

    # 查看kafka堆积剩余量
    partitions = [TopicPartition(k_topic, p) for p in consumer.partitions_for_topic(k_topic)]
    # total
    toff = consumer.end_offsets(partitions)
    toff = [(key.partition, toff[key]) for key in toff.keys()]
    toff.sort()
    print("total offset: {}".format(str(toff)))

    # current
    coff = [(x.partition, consumer.committed(x)) for x in partitions]
    coff.sort()
    print("current offset: {}".format(str(coff)))

    # cal sum and left
    toff_sum = sum([x[1] for x in toff])
    cur_sum = sum([x[1] for x in coff if x[1] is not None])
    left_sum = toff_sum - cur_sum
    print("kafka left: {}".format(left_sum))
    return left_sum


# auto_offset_reset
# 1. 从上一次未消费的位置开始读（则该参数设置为earliest）;
# 2. 从当前时刻开始读之后产生的, 之前产生的数据不再消费（则该参数设置为latest）
for message in consumer:
    print(message)
    print(message.topic)
    print(f"receive: \n  key: {
      
      json.loads(message.key.decode())},\n  value: {
      
      json.loads(message.value.decode())} \n ")
    # 手动commit
    # consumer.commit()
    kafka_left = get_kafka_left_num(consumer)
    if kafka_left == 0:
        break

4. 按照上述创建文件夹和文件

5.启动服务

# 进入docker_kafka目录下
cd /系统目录/docker_kafka
# 启动服务
docker compose up -d

备注：

a. http://IP:9001/ 进入kafka manager 界面

b.添加kafka

c.填写名称 和 Zookeeper Host后直接往下面拉 点击Save保存