KafkaConsumer- bootstrap_servers: str- group_id: str- auto_offset_reset: str+ enable_auto_commit: bool+subscribe(topics: List[str])+poll(timeout_ms: int) : -> List[Message] 以上就是实现 Python Kafkapoll方法的完整流程和代码示例。通过上述步骤,你可以成功创建一个 Kafka 消费者,并使用poll方法...
auto_offset_reset='earliest', enable_auto_commit=True, group_id='my-group', max_poll_records=...
fromkafkaimportKafkaConsumer# 创建Kafka消费者consumer=KafkaConsumer('your_topic',# 替换为你的主题名称bootstrap_servers=['localhost:9092'],# Kafka服务器的地址group_id='your_group_id',# 消费者组auto_offset_reset='earliest',# 从最早的消息开始读取enable_auto_commit=True# 自动提交偏移量) 1. 2. ...
vimal: thanksforposting. I believe you may be hittinglockcontention between an idle client.poll -- which can block and hold the clientlockforthe entire request_timeout_ms -- and the attempt by the heartbeat thread to send anewrequest. It seems to me that we may need to use KafkaClient....
fromkafka.structs import TopicPartition,OffsetAndMetadata configs={'bootstrap_servers':'10.57.19.60','enable_auto_commit': False,'group_id':'test','api_version': (0,8,2),'ssl_check_hostname': False,'consumer_timeout_ms':3000, #若不指定 consumer_timeout_ms,默认一直循环等待接收,若指定,...
name string,age int,loc string) partitioned by (loc)");二、编写代码读取Kafka数据实时写入...
设置enable.auto.commit为ture 设置 auto.commit.interval.ms为一个较小的时间间隔. client不要调用commitSync(),kafka在特定的时间间隔内自动提交。 At-least-once(最少一次) 方法一 设置enable.auto.commit为false client调用commitSync(),增加消息偏移; ...
用confluent-kafka替换kafka-python非常简单。confluent-kafka使用poll方法，它类似于上面提到的访问kafka-python的变通方案。kafka_consumer = Consumer({ "api.version.request": True,"enable.auto.commit": True,"group.id": group_id,"bootstrap.servers": config.kafka.host,"security.protocol": "...
Wrap consumer.poll() for KafkaConsumer iteration (dpkp / PR #1902) Allow the coordinator to auto-commit on old brokers (justecorruptio / PR #1832) Reduce internal client poll timeout for (legacy) consumer iterator interface (dpkp / PR #1824) Use dedicated connection for group coordinator ...
Made the switch from pykafka to kafka-python over the weekend, which resolved an issue where my Producer would hang sending data to a Kafka cluster I don't control. This has had the unforeseen consequence of not allowing me to commit my ...