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From "Jason Gustafson (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (KAFKA-8722) Data crc check repair
Date Wed, 31 Jul 2019 09:27:00 GMT

     [ https://issues.apache.org/jira/browse/KAFKA-8722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Jason Gustafson resolved KAFKA-8722.
       Resolution: Fixed
    Fix Version/s:     (was:

> Data crc check repair
> ---------------------
>                 Key: KAFKA-8722
>                 URL: https://issues.apache.org/jira/browse/KAFKA-8722
>             Project: Kafka
>          Issue Type: Improvement
>          Components: log
>    Affects Versions:
>            Reporter: ChenLin
>            Priority: Major
>             Fix For:
>         Attachments: image-2019-07-27-14-50-08-128.png, image-2019-07-27-14-50-58-300.png,
image-2019-07-27-14-56-25-610.png, image-2019-07-27-14-57-06-687.png, image-2019-07-27-15-05-12-565.png,
image-2019-07-27-15-06-07-123.png, image-2019-07-27-15-10-21-709.png, image-2019-07-27-15-18-22-716.png,
> In our production environment, when we consume kafka's topic data in an operating program,
we found an error:
> org.apache.kafka.common.KafkaException: Record for partition rl_dqn_debug_example-49
at offset 2911287689 is invalid, cause: Record is corrupt (stored crc = 3580880396, computed
crc = 1701403171)
>  at org.apache.kafka.clients.consumer.internals.Fetcher.parseRecord(Fetcher.java:869)
>  at org.apache.kafka.clients.consumer.internals.Fetcher.parseCompletedFetch(Fetcher.java:788)
>  at org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:480)
>  at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1188)
>  at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1046)
>  at kafka.consumer.NewShinyConsumer.receive(BaseConsumer.scala:88)
>  at kafka.tools.ConsoleConsumer$.process(ConsoleConsumer.scala:120)
>  at kafka.tools.ConsoleConsumer$.run(ConsoleConsumer.scala:75)
>  at kafka.tools.ConsoleConsumer$.main(ConsoleConsumer.scala:50)
>  at kafka.tools.ConsoleConsumer.main(ConsoleConsumer.scala)
> At this point we used the kafka.tools.DumpLogSegments tool to parse the disk log file
and found that there was indeed dirty data:
> !image-2019-07-27-14-57-06-687.png!
> By looking at the code, I found that in some cases kafka would not verify the data and
write it to disk, so we fixed it.
>  We found that when record.offset is not equal to the offset we are expecting, kafka
will set the variable inPlaceAssignment to false. When inPlaceAssignment is false, data will
not be verified:
> !image-2019-07-27-14-50-58-300.png!
> !image-2019-07-27-14-50-08-128.png!
> Our repairs are as follows:
> !image-2019-07-30-11-39-01-605.png!
> We did a comparative test for this. By modifying the client-side producer code, we made
some dirty data. For the original kafka version, it was able to write to the disk normally,
but when it was consumed, it was reported, but our repaired version was written. At the time,
it can be verified, so this producer write failed:
> !image-2019-07-27-15-05-12-565.png!
> At this time, when the client consumes, an error will be reported:
> !image-2019-07-27-15-06-07-123.png!
> When the kafka server is replaced with the repaired version, the producer will verify
that the dirty data is written. The producer failed to write the data this time
> !image-2019-07-27-15-10-21-709.png!

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