centos 上安装 kafka 与 python 调用

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原创最新推荐文章于 2026-03-13 14:39:43 发布 683 阅读 AI 写同款· GEO 优化 ›

Python 版分布式消息队列 Kafka 实现图片数据传输在使用 Kafka 之前，通常需要先安装和配置 ZooKeeper。ZooKeeper 是 Kafka 的依赖项之一，它用于协调和管理 Kafka 集群的状态。ZooKeeper 是一个开源的分布式协调服务，它提供了可靠的数据存储和协调机制，用于协调分布式系统中的各个节点。Kafka 使用 ZooKeeper 来存储和管理集群的元数据、配置信息和状态。阅读详情

step0: 环境准备

1、安装jdk 1.8 以上版本

yum -y install java-1.8.0-openjdk.x86_64

2、安装配置ZooKeeper

wget https://dlcdn.apache.org/zookeeper/zookeeper-3.8.2/apache-zookeeper-3.8.2-bin.tar.gz --no-check-certificate
tar -zxf apache-zookeeper-3.8.2-bin.tar.gz 


# 存放数据的路径 根据需要修改
mkdir /你存放数据的路径/data
mkdir /你存放日志的路径/logs
cd apache-zookeeper-3.8.2-bin/conf
cp zoo_sample.cfg zoo.cfg
vim zoo.cfg
# 增加如下内容
# dataDir = /你存放数据的路径/data(自定义目录)
# dataLogDir = /你存放日志的路径/logs(自定义目录)
cd ../bin
./zkServer.sh start
#./zkServer.sh stop
#./zkServer.sh restart
#./zkServer.sh status
# 如果启动失败 Starting zookeeper ... FAILED TO START 可能是server 的端口号被占用 需要指定下端口号
# vim zoo.cfg 
# admin.serverPort=9091

./zkCli.sh 
./zkServer.sh stop

step1: 下载kafka

wget https://dlcdn.apache.org/kafka/3.5.0/kafka_2.13-3.5.0.tgz --no-check-certificate
tar -xzf kafka_2.13-3.5.0.tgz
cd kafka_2.13-3.5.0
# 新建一个会话
# yum install tmux -y
tmux 
# Start the ZooKeeper service
./bin/zookeeper-server-start.sh config/zookeeper.properties 
#  Start the Kafka broker service
bin/kafka-server-start.sh config/server.properties

step3: 验证安装

KafkaProducer

pip install kafka-python

import logging
import time
from kafka import KafkaProducer


def on_send_success(record_metadata):
    print(record_metadata.topic)
    print(record_metadata.partition)
    print(record_metadata.offset)


def on_send_error(excp):
    logging.error('I am an errback', exc_info=excp)
    # handle exception

# 将yoursIp替换为启动kafka 服务的ip
producer = KafkaProducer(bootstrap_servers="yoursIp:9092")
i = 0
while True:
    ts = int(time.time() * 1000)
    future = producer.send(topic="test", value=bytes(str(i), encoding="utf-8"), key=bytes(str(i), encoding="utf-8"),
                           timestamp_ms=ts).add_callback(on_send_success).add_errback(on_send_error)
    record_metadata = future.get(timeout=60)
    producer.flush()
    print(i)
    print(record_metadata)

    i += 1
    time.sleep(1)

在这里插入图片描述

KafkaConsummer

from kafka import KafkaConsumer, TopicPartition, OffsetAndMetadata
import time

tp = TopicPartition("test", 0)
consummer = KafkaConsumer(bootstrap_servers=["yoursIp:9092"], auto_offset_reset='earliest',
                          enable_auto_commit=False, group_id="my-group")
consummer.assign([tp])
print("starting offset is {}".format(consummer.position(tp)))
for message in consummer:
    print(message, message.offset)

    consummer.commit({tp: OffsetAndMetadata(message.offset + 1, message)})
    time.sleep(0.15)