Stream where the elements themselves are Streams which continually request records for a single partition. These Streams will have to be processed in parallel, using parJoin or parJoinUnbounded. Note that when using parJoin(n) and n is smaller than the number of currently assigned partitions, then there will be assigned partitions which won't be processed. For that reason, prefer parJoinUnbounded and the actual limit will be the number of assigned partitions.

If you do not want to process all partitions in parallel, then you can use records instead, where records for all partitions are in a single Stream.

Stream where each element contains an assignment. Each assignment assignment is Map, where keys are a TopicPartitions, and values are record streams for the TopicPartition.

With the default assignor, previous partition assignments are revoked at once, and a new set of partitions assigned to a consumer on each rebalance. In this case, each returned map contains the full partition assignment for the consumer. partitionsMapStream reflects the 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, partition assignments may be revoked individually. In this case, each element in the stream will contain only streams for newly assigned partitions. Streams returned previously will remain active until the assignment is revoked.

Note, that partition streams for revoked partitions will be closed after the new assignment comes.

This is the most generic Stream method. If you don't need such control, consider using partitionedStream or stream methods. They are both based on a partitionsMapStream.

Stops consuming new messages from Kafka. This method could be used to implement a graceful shutdown.

This method has a few effects: 1. After this call no more data will be fetched from Kafka through the poll method. 2. All currently running streams will continue to run until all in-flight messages will be processed. It means that streams will be completed when all fetched messages will be processed.

If some of the records methods will be called after stopConsuming call, these methods will return empty streams.

More than one call of stopConsuming will have no effect.

Alias for partitionedStream.parJoinUnbounded. See partitionedRecords for more information.

Consume from all assigned partitions, producing a stream of CommittableConsumerRecords. Alias for stream.