![]() Each message can be successfully delivered at least once. Messages are sent by the producer and received by the consumer client. All messages that are successfully delivered are persistently stored in queues. The following figure shows the position of queues in the domain model of Apache RocketMQ.īy default, Apache RocketMQ provides reliable message storage. These features are not available in RabbitMQ or ActiveMQ. This helps implement features such as aggregate read and backtrack read. Streaming operation semanticsThe queue-based storage in Apache RocketMQ allows consumers to read one or more messages from an offset. Offsets are used to label the locations and the order of messages in a queue. The earliest message is at the start of the queue and the latest message is at the end of the queue. Messages are stored in the same order in which they are queued. Ordered storageQueues are ordered in nature. This way, queues support horizontal partitioning and streaming storage. A queue is the smallest unit of storage for Apache RocketMQ messages.Ī topic in Apache RocketMQ consists of multiple queues. Definition Ī queue is a container that is used to store and transmit messages in Apache RocketMQ. This topic also provides version compatibility information and usage notes for message queues. Import section describes the definition, model relationship, and internal attributes of message queues in Apache RocketMQ. Import io.KafkaConsumerRebalanceListener In case of a failure, only records that were not committed yet will be re-processed. SmallRye Reactive Messaging processes records asynchronously, so offsets may be committed for records that have been polled but not yet processed. When is true this strategy DOES NOT guarantee at-least-once delivery. ![]() It delegates the offset commit to the underlying Kafka client. This strategy is the default strategy when the consumer is explicitly configured with to true. However, it reduces the risk of duplicates. This strategy should not be used in high load environment, as offset commit is expensive. This strategy provides at-least-once delivery if the channel processes the message without performing any asynchronous processing. Latest commits the record offset received by the Kafka consumer as soon as the associated message is acknowledged (if the offset is higher than the previously committed offset). If is set to less than or equal to 0, it does not perform any health check verification.įor more information, see Stateful processing with Checkpointing The connector will be marked as unhealthy if no processing state is persisted to the state store in (default: 10000). ![]() ![]() The checkpoint strategy holds locally the processing state associated with the latest offset, and persists it periodically to the state store (period specified by (default: 5000)). When the processing continues from a previously persisted offset, it seeks the Kafka consumer to that offset and also restores the persisted state, continuing the stateful processing from where it left off. Using the CheckpointMetadata API, consumer code can persist a processing state with the record offset to mark the progress of a consumer. This strategy is the default if is not explicitly set to true.Ĭheckpoint allows persisting consumer offsets on a state store, instead of committing them back to the Kafka broker. Such a setting might lead to running out of memory if there are "poison pill" messages (that are never acked). If is set to less than or equal to 0, it does not perform any health check verification. Indeed, this strategy cannot commit the offset as soon as a single record processing fails. The connector will be marked as unhealthy if a message associated with a record is not acknowledged in (default: 60000 ms). The connector tracks the received records and periodically (period specified by, default: 5000 ms) commits the highest consecutive offset. This strategy guarantees at-least-once delivery even if the channel performs asynchronous processing. Throttled keeps track of received messages and commits an offset of the latest acked message in sequence (meaning, all previous messages were also acked).
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