标签：启用 结果 消息 xxxxx 调用 with back log producing
背景：一个小应用，用celery下发任务，任务内容为kafka生产一些数据。
问题：使用confluent_kafka模块时，单独启用kafka可以正常生产消息，但是套上celery后，kafka就无法将新消息生产到topic队列中了。
解决：换了个pykafka模块，结果问题就没有了。
我很疑惑啊，是我调用confluent_kafka的方法不对吗，怎么套上celery就不行了呢？
可以用的pykafka代码：
tasks.py
from celery import Celery from pykafka import KafkaClient import json app = Celery(‘tasks‘, backend=‘amqp‘, broker=‘amqp://xxx:xxxxxx@localhost/xxxhost‘) @app.task def produce(): client = KafkaClient(hosts="localhost:9092") print client.topics topic = client.topics[‘test_result‘] with topic.get_sync_producer() as producer: for i in range(3): data = {"info": {"ip": "1.2.3.4", "port": i}, "type": "test", "task_id": "test_celery_kafka"} print(‘Producing message: %s‘ % data) producer.produce(json.dumps(data)) print "finish produce" producer.stop() print "stop"
run_worker.py
from tasks import produce for i in range(1000): result = produce.delay() print result.status
无法正常生产数据的confluent_kafka代码：
tasks.py
from celery import Celery from kafka_producer import p import json app = Celery(‘tasks‘, backend=‘amqp‘, broker=‘amqp://xxx:xxxxxx@localhost/xxxhost‘) @app.task def produce(): for i in range(3000): data = {"info": {"ip": "1.2.3.4"}, "type": "test", "task_id": "test_celery_kafka"} print(‘Producing message: %s‘ % data) p.produce(‘test_result3‘, json.dumps(data)) print "finish produce" p.flush() print "finish flush"
run_worker.py
from tasks import produce result = produce.delay() print result.status print result.ready() print result.get() print result.status
标签：启用 结果 消息 xxxxx 调用 with back log producing
原文地址：http://www.cnblogs.com/dplearning/p/7520211.html
