ConsumerSettings

zio.kafka.consumer.ConsumerSettings

See theConsumerSettings companion object

final case class ConsumerSettings(bootstrapServers: List[String], properties: Map[String, AnyRef], closeTimeout: Duration, pollTimeout: Duration, offsetRetrieval: OffsetRetrieval, rebalanceListener: RebalanceListener, restartStreamOnRebalancing: Boolean, runloopTimeout: Duration, maxPartitionQueueSize: Int)

Value parameters

maxPartitionQueueSize: Maximum number of records to be buffered per partition. This buffer improves throughput and supports varying downstream message processing time, while maintaining some backpressure. Large values effectively disable backpressure at the cost of high memory usage, low values will effectively disable prefetching in favour of low memory consumption. The number of records that is fetched on every poll is controlled by the max.poll.records setting, the number of records fetched for every partition is somewhere between 0 and max.poll.records. A value that is a power of 2 offers somewhat better queueing performance. The default value for this parameter is 2 * the default max.poll.records of 500, rounded to the nearest power of 2.
restartStreamOnRebalancing: When true all streams are restarted during a rebalance, including those streams that are not revoked. The default is false.
runloopTimeout: Internal timeout for each iteration of the command processing and polling loop, use to detect stalling. This should be much larger than the pollTimeout and the time it takes to process chunks of records. If your consumer is not subscribed for long periods during its lifetime, this timeout should take that into account as well. When the timeout expires, the plainStream/partitionedStream/etc will fail with a Consumer.RunloopTimeout.

Companion: object
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trait Product

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trait Matchable

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