美文网首页
Python 连接 Kafka 简单实现

Python 连接 Kafka 简单实现

作者: linyk3 | 来源:发表于2018-11-05 16:16 被阅读0次

    本文参考博客 使用pykafka,kafka-python的api开发kafka生产者和消费者中的 kafka-python部分实现Producer 发送消息 和 Consumer 消费消息:

    1. kafka-python安装:
    # PyPI安装
    pip install kafka-python
     
    # conda安装
    conda install -c conda-forge kafka-python
     
    # anaconda自带pip安装
    /root/anaconda3/bin/pip install kafka-python
    
    1. kafka-python生产者
      producer.py
    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    import datetime
    import json
    import time
    import uuid
    
    from kafka import KafkaProducer
    from kafka.errors import KafkaError
    
    producer = KafkaProducer(bootstrap_servers='100.69.222.221:9092,100.69.222.222:9092,100.69.222.223:9092')
    topic = 'test_20181105'
    
    
    def test():
        print('begin')
        try:
            n = 0
            while True:
                dic = {}
                dic['id'] = n
                n = n + 1
                dic['myuuid'] = str(uuid.uuid4().hex)
                dic['time'] = datetime.datetime.now().strftime("%Y%m%d %H:%M:%S")
                producer.send(topic, json.dumps(dic).encode())
                print("send:" + json.dumps(dic))
                time.sleep(0.5)
        except KafkaError as e:
            print(e)
        finally:
            producer.close()
            print('done')
    
    
    if __name__ == '__main__':
        test()
    
    

    服务器集群中配置好Kafka, 修改上面程序中的ip地址和端口号, 执行python脚本就可以成功将消息发送到 topic: test_20181105

    send:{"id": 1411, "myuuid": "a25a3d0361f94d3b8fffd5967ab5df01", "time": "20181105 16:11:14"}
    send:{"id": 1412, "myuuid": "784efd5389564194941240dca66233b6", "time": "20181105 16:11:14"}
    send:{"id": 1413, "myuuid": "6a211195319e447aa559614662f70590", "time": "20181105 16:11:15"}
    send:{"id": 1414, "myuuid": "2cc45bd82baf4a1cb41ea4786e50a0df", "time": "20181105 16:11:15"}
    send:{"id": 1415, "myuuid": "b7dfed4919c74164b83cf3ec28e257b6", "time": "20181105 16:11:16"}
    send:{"id": 1416, "myuuid": "9218eceb17834c228f5ab01ca7595272", "time": "20181105 16:11:16"}
    send:{"id": 1417, "myuuid": "c2751c54c390453f9eedd417fb1e5a31", "time": "20181105 16:11:17"}
    send:{"id": 1418, "myuuid": "9bbc4ef2cfbb42148332eb979b1142cb", "time": "20181105 16:11:17"}
    send:{"id": 1419, "myuuid": "f4998a862494445c976137793b55ed73", "time": "20181105 16:11:18"}
    
    1. kafka-python消费者
      consumer.py
    #!/bin/env python
    from kafka import KafkaConsumer
    
    # connect to Kafka server and pass the topic we want to consume
    consumer = KafkaConsumer('test_20181105',group_id = 'test_group2', bootstrap_servers='100.69.222.221:9092,100.69.222.222:9092,100.69.222.223:9092')
    try:
        for msg in consumer:
            print(msg)
            # print("%s:%d:%d: key=%s value=%s" % (msg.topic, msg.partition, msg.offset, msg.key, msg.value))
    except KeyboardInterrupt as e:
        print(e)
    

    同样修改上面的Ip地址和端口号,就可以接收 topic: test_20181105上的消息:

    ConsumerRecord(topic='test_20181105', partition=1, offset=951, timestamp=1541405600340, timestamp_type=0, key=None, value=b'{"id": 1663, "myuuid": "0f744021b2d9468886908ee6685a0fdb", "time": "20181105 16:13:20"}', checksum=1357895145, serialized_key_size=-1, serialized_value_size=87)
    ConsumerRecord(topic='test_20181105', partition=0, offset=935, timestamp=1541405600841, timestamp_type=0, key=None, value=b'{"id": 1664, "myuuid": "9379f68f656644bdb2d30911f06240e4", "time": "20181105 16:13:20"}', checksum=-715594646, serialized_key_size=-1, serialized_value_size=87)
    ConsumerRecord(topic='test_20181105', partition=1, offset=952, timestamp=1541405601341, timestamp_type=0, key=None, value=b'{"id": 1665, "myuuid": "f4a5fa5b32cd4b7991612b626bea4b0e", "time": "20181105 16:13:21"}', checksum=-2068072013, serialized_key_size=-1, serialized_value_size=87)
    

    可以通过设置不同的group_id 来实现消息队列或消息订阅:
    如果所有的consumer都具有相同的group,这种情况和queue模式很像;消息将会在consumers之间负载均衡.
    如果所有的consumer都具有不同的group,那这就是"发布-订阅";消息将会广播给所有的消费者.

    相关文章

      网友评论

          本文标题:Python 连接 Kafka 简单实现

          本文链接:https://www.haomeiwen.com/subject/ypvsxqtx.html