How to properly reconsume messages after their processing failed in High-Level balanced consumer?
Discussed in https://github.com/confluentinc/librdkafka/discussions/4722
Originally posted by fdr400 May 17, 2024 Hello everyone! I am currently implementing the driver for Kafka in @userver-framework. The code is available here: https://github.com/userver-framework/userver/tree/develop/kafka
It provides an interface for processing message batches received from the topics consumer has subscribed on. Common use-case of consumer looks like this:
consumer.Start([](kafka::MessageBatchView batch) {
/* message batch processing */
consumer.AsyncCommit(); // wrapper for rd_kafka_commit(consumer_handle, 1)
});
kafka::MessagesBatchView is an alias for std::span<const kafka::Message>, where kafka::Message is a C++ wrapper for rd_kafka_message_t*
The library periodically polls the message batches and invokes the user-provided callback passing the message batch view.
I am trying to support the message reconsumption when the callback throws an exception. To implement such logic, current implementation closes the consumer and subscribes for the same topics, after catching the exception, to start reading the topic partition from the last committed offset.
But the implementation looks not optimal, because, for example, when using an EAGER rebalance strategy, after closing the consumer, all partitions are firstly revoked from all consumers in the current group and then assigned to them again.
I read lots of issues in the repo and googled a lot, but, unfortunately, did not find the, how to reread not committed messages using the balanced consumer.
I saw several solutions to reread the messages, but, as I understand, the won't work when consumer subscribed to topics:
- First solution is to fetch the current consumer assignment with
rd_kafka_assignmentand assign it to consumer withrd_kafka_assign. But in many issues I read thatrd_kafka_assignassigns the static set to consumer and can not be used outside of rebalance_callback - Second, is to use the
rd_kafka_seekto move the fetched offsets back to the commited values. But, again, I read that seek can used only after manual partition assignment withrd_kafka_assign - The last solution is to cache the unprocessed message batch to pass it again and again to the use callback, until the callback invokation succeeded. But in such solution consumer stops the polling loop and may be kicked from the consumer group after some time
So, the question is, how properly reconsume the uncommitted messages using the balanced consumer (rd_kafka_subscribe), with minimum overhead?
Hi @fdr400 this is the correct thing to do
Second, is to use the rd_kafka_seek to move the fetched offsets back to the commited values. But, again, I read that seek can used only after manual partition assignment with rd_kafka_assign
It's possible even when subscribing, given you seek only partitions that are assigned to you, that you can check with rd_kafka_assignment. You should use rd_kafka_seek_partitions to seek.
Check out this example: https://github.com/confluentinc/librdkafka/blob/7fc5a59826ee1e1dee3236b1e43180cc22cfb496/examples/transactions.c#L166
You should probably need also the rebalance_cb to check if partitions are revoked from your member. That callback is called on consume, so after processing your last consumed message, but partition isn't revoked until you call assign(NULL) or incremental_unassign() inside that one.
@emasab thanks for your answer! I'll try to do so.
But it is not obvious from documentation, because rd_kafka_seek* functions are in Simple Consumer API group