Hi Mathieu, Thanks for reporting this!
This is definitely a bug and it must get fixed for at-last-once processing, too. Exactly-once is not required to avoid the bug. Can you open a Jira? I think, I know already how to fix it. -Matthias On 5/19/17 8:53 AM, Mathieu Fenniak wrote: > Whoops, I said I'd put the specific exception at the bottom of the > e-mail. It probably isn't the important part of this thread, but > might suggest when this situation can occur. Also of note, this is > occurring on Kafka Streams 0.10.2.1. > > > 20:56:07.061 [StreamThread-3] ERROR o.a.k.s.p.internals.StreamThread - > stream-thread [StreamThread-3] Failed to commit StreamTask 0_4 state: > org.apache.kafka.streams.errors.StreamsException: task [0_4] exception > caught when producing > at > org.apache.kafka.streams.processor.internals.RecordCollectorImpl.checkForException(RecordCollectorImpl.java:121) > at > org.apache.kafka.streams.processor.internals.RecordCollectorImpl.flush(RecordCollectorImpl.java:129) > at > org.apache.kafka.streams.processor.internals.StreamTask$1.run(StreamTask.java:76) > at > org.apache.kafka.streams.processor.internals.StreamsMetricsImpl.measureLatencyNs(StreamsMetricsImpl.java:188) > at > org.apache.kafka.streams.processor.internals.StreamTask.commit(StreamTask.java:280) > at > org.apache.kafka.streams.processor.internals.StreamThread.commitOne(StreamThread.java:807) > at > org.apache.kafka.streams.processor.internals.StreamThread.commitAll(StreamThread.java:794) > at > org.apache.kafka.streams.processor.internals.StreamThread.maybeCommit(StreamThread.java:769) > at > org.apache.kafka.streams.processor.internals.StreamThread.runLoop(StreamThread.java:647) > at > org.apache.kafka.streams.processor.internals.StreamThread.run(StreamThread.java:361) > Caused by: org.apache.kafka.common.errors.TimeoutException: Failed to > update metadata after 60000 ms. > > On Fri, May 19, 2017 at 9:47 AM, Mathieu Fenniak > <mathieu.fenn...@replicon.com> wrote: >> Hi Kafka devs, >> >> This morning I observed a specific Kafka Streams aggregation that >> ended up with an incorrect computed output after a Kafka Streams >> thread crashed with an unhandled exception. >> >> The topology is pretty simple -- a single KTable source, group by a >> field in the value, aggregate that adds up another field, output to a >> topic. >> >> Here's the sequence of events that appears to have occurred: >> >> 1. A new record (record A) is received by the source KTable, and put >> in the KTable RocksDB state store. >> >> 2. While processing record A, an exception happens preventing >> producing to Kafka. (specific exception at end of e-mail). >> >> 3. The stream thread throws an unhandled exception and stops. >> >> 4. The state stores are closed and flushed. Record A is now in the >> local state store. >> >> 5. The consumer group rebalances. >> >> 6. A different thread, in the same process, on the same host, picks up the >> task. >> >> 7. New thread initializes its state store for the KTable, but it's on >> the same host as the original thread, so it still contains the k/v for >> record A. >> >> 8. New thread resumes consuming at the last committed offset, which is >> before record A. >> >> 9. When processing record A, the new thread reads the value that was >> written to the state store in step #1 by record A's key. >> >> 10. The repartition map receives a Change with both an oldValue and a >> newValue, and forwards a Change(null, v) and Change(v, null) >> >> 11. The aggregation ends up both subtracting and adding the value of >> record A, resulting in an incorrect output. >> >> As a result of this sequence, my aggregate output went from a value of >> 0, to negative (subtracting record A), to 0. And stayed there. >> >> Does this seem like a feasible series of events? Is this a bug in KS, >> or, is it behavior that maybe can't be improved without exactly-once? >> I'd think the best behavior would be for writes to the RocksDB state >> store to be transactional and only commit when the producer commits, >> but, there's a lot of overhead involved in that. >> >> Mathieu
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