trait KafkaConsumeGrouped[F[_], K, V] extends AnyRef
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- abstract def groupedPartitionsMapStream: Stream[F, Map[Set[TopicPartition], Stream[F, CommittableConsumerRecord[F, K, V]]]]
Streamwhere each element contains aMapof the current partition-group assignment.Streamwhere each element contains aMapof the current partition-group assignment. Keys are partition groups (Set[TopicPartition]); values are record streams for that group.Assigned partitions are split into up to
maxParallelismgroups, sized as evenly as possible. The default (Int.MaxValue) gives one stream per partition.With the default assignor, all previous partitions are revoked at once, and a new set of partitions is assigned to a consumer on each rebalance. In this case, each returned
Mapcontains the full partition assignment for the consumer, and all streams from the previous assignment are closed. It means thatgroupedPartitionsMapStreamreflects the default assignment process in a streaming manner.This may not be the case when a custom assignor is configured in the consumer. When using the
CooperativeStickyAssignor, for instance, partitions may be revoked individually. In this case, each emittedMapreflects the current partition-group layout. Streams for retained groups remain active; only streams for revoked or realigned groups are closed.This is the most generic
Streammethod. If you don't need per-partition streams, consider usingpartitionedStreamorstreaminstead.- Note
you have to first use
subscribeorassignto subscribe the consumer before using thisStream. If you forgot to subscribe, there will be a NotSubscribedException raised in theStream.- See also
records
partitionedRecords
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