Lydtech Consulting Kafka Consumer Group Rebalance Part 1 Of 2 With this library, the frequency of poll is determined by configuration akka.kafka.consumer.poll interval. we say is safe because it will continue polling to avoid the consumer is considered dead even when your processing can't keep up the rate. it's able to do this because kafkaconsumer allows pausing the consumer. **. Apache kafka is a distributed streaming platform that allows for high throughput, fault tolerant, publish subscribe messaging. kafka, at its core, is designed to provide a durable, scalable platform for handling streams of records. one of the critical configurations that helps ensure consumer reliability in kafka is max.poll.interval.ms.
Optimize The Performance Of The Poll Loop In Kafka Consumer Laptrinhx This topic provides apache kafka® consumer configuration parameters. the configuration parameters are organized by order of importance, ranked from high to low. to learn more about consumers in kafka, see this free apache kafka 101 course. you can find code samples for the consumer in different languages in these guides. Max.poll.interval.ms: this property specifies the maximum time allowed time between calls to the consumers poll method (consume method in ) before the consumer process is assumed to have failed. the default is 300 seconds and can be safely increased if your application requires more time to process messages. Kafka consumer important settings: poll & internal threads redirecting. The poll timeout is the value you pass to the kafkaconsumer poll () method. this is the maximum time the poll () method will block for, after you call it. the maximum polling interval of 5 minutes means that you must call poll () again before 5 minutes are over since the last call of poll () had returned. if you don't, your consumer will be.
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