QueueSizeBasedFetchStrategy

zio.kafka.consumer.fetch.QueueSizeBasedFetchStrategy

final case class QueueSizeBasedFetchStrategy(maxPartitionQueueSize: Int) extends FetchStrategy

A fetch strategy that allows a stream to fetch data when its queue size is below maxPartitionQueueSize.

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.

Graph
Supertypes: trait Serializable

trait Product

trait Equals

trait FetchStrategy

class Object

trait Matchable

class Any
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Selects which partitions can fetch data in the next poll.

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