def launchConsumer(i): consumer = Consumer({'bootstrap.servers': KAFKA_BROKER, \ 'group.id': 'testConsumer', \ 'enable.auto.commit': True,\ 'default.topic.config': {'auto.offset.reset': 'latest'}}) topic = TopicPartition(FROM_TOPIC,i) print "Topic offset",topic.offset consumer.assi...
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A very common pattern is this: stream data using NiFi (and possibly filter, transform, enrich) and pass it to a Kafka queue to make it durable (persistent until consumed). SAM pulls from the queue (subscribes to a topic) and does advanced analytics from there (dashboard...