【发布时间】:2016-08-31 19:08:51
【问题描述】:
我在这里使用Kafka consumer(版本 1.3.1)。
我要实现的目标:
有 10 个分区。每个分区都从偏移量 0 开始。
有一组消费者(例如 1、2、3)。
有时,一位消费者已关闭或已启动。
因此,组成员可能会发生变化。但是我希望每个分区中的每条消息都应该被组消费一次(1 OR 2 OR 3)。
我的代码是:
consumer = KafkaConsumer('my_topic',
bootstrap_servers=['ip:9092'],
auto_offset_reset='earliest',
max_partition_fetch_bytes=131072,
group_id='writer.test')
以上配置够吗?欢迎任何cmets。谢谢
更新
我尝试了以下代码。每次在分区 760 中,每条消息可能被一组中的两个消费者消费两次。为什么?有什么问题吗?
def test():
#PULL FROM KAFKA
consumer = KafkaConsumer(
'topic',
bootstrap_servers=[ip],
auto_offset_reset='latest',
max_partition_fetch_bytes=131072,
auto_commit_interval_ms=500,
group_id='writer2.test')
print consumer.poll()
for i in range(10000):
msg = next(consumer)
if str(msg[1])=='670':
print 'partition= %s, offset= %s' % (msg[1], msg[2])
consumer.unsubscribe()
if __name__ == "__main__":
for i in range(10):
import time
time.sleep(5)
test()
输出 1:
{}
partition= 670, offset= 224
partition= 670, offset= 225
partition= 670, offset= 226
partition= 670, offset= 227
partition= 670, offset= 228
partition= 670, offset= 229
partition= 670, offset= 230
partition= 670, offset= 231
partition= 670, offset= 232
partition= 670, offset= 233
partition= 670, offset= 234
partition= 670, offset= 235
partition= 670, offset= 236
partition= 670, offset= 237
partition= 670, offset= 238
partition= 670, offset= 239
partition= 670, offset= 240
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
在另一个窗口运行同一个文件,输出:
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
{}
partition= 670, offset= 241
partition= 670, offset= 242
partition= 670, offset= 243
partition= 670, offset= 244
partition= 670, offset= 245
partition= 670, offset= 246
partition= 670, offset= 247
partition= 670, offset= 248
partition= 670, offset= 249
partition= 670, offset= 250
partition= 670, offset= 251
partition= 670, offset= 252
partition= 670, offset= 253
partition= 670, offset= 254
partition= 670, offset= 255
partition= 670, offset= 256
partition= 670, offset= 257
partition= 670, offset= 258
partition= 670, offset= 259
【问题讨论】:
-
您使用的是单代理还是多代理集群?
-
@MoinuddinQuadri 多代理集群。有什么区别吗?
-
我相信你的问题是,你有多个消费者。并且您正在广播的数据被所有消费者接收。但是你希望它只被一个消费者消费。我说的对吗?
-
@MoinuddinQuadri 查看我的更新。谢谢
-
之前我已经研究过了。我们面临的问题是早期版本的 Kafka 在消费者端维护提交状态(即偏移量的消耗)。并且库不提供任何消费者之间的交流方式。然而,在新版本的 Kafka(我猜是 Kafka 2.1 或 +,不确定版本)中,它由代理维护,因此不需要处理。只需验证一次,您就可以休息了。
标签: python apache-kafka kafka-consumer-api kafka-python