Thanks! I did what you suggested and it worked except it was necessary for me to remove the cleaner-offset-checkpoint file from the data directory and restart the servers. The log indicates all is well.
Do you know what version the fix to this will be in? I'm not looking forward to dealing with this on a reoccurring basis. -John On Fri, Sep 18, 2015 at 8:48 AM Todd Palino <tpal...@gmail.com> wrote: > Yes, this is a known concern, and it should be fixed with recent commits. > In the meantime, you'll have to do a little manual cleanup. > > The problem you're running into is a corrupt message in the offsets topic. > We've seen this a lot. What you need to do is set the topic configuration > to remove the cleanup.policy config, and set retention.ms and segment.ms > to > something reasonably low. I suggest using a value of 3 or 4 times your > commit interval for consumers. Then wait until the log segments are reaped > (wait twice as long as the retention.ms you chose, to be safe). Once this > is done, you can set the topic configuration back the way it was (remove > segment.ms and retention.ms configs, and set cleanup.policy=compact). > Lastly, you'll need to do a rolling bounce of the cluster to restart the > brokers (which restarts the log cleaner threads). Technically, you only > need to restart brokers where the threads have died, but it's easier to > just restart all of them. > > Keep in mind that when you do this, you are deleting old offsets. If your > consumers are all live and healthy, this shouldn't be a problem because > they will just continue to commit their offsets properly. But if you have > an offline consumer, you'll lose the committed offsets by doing this. > > -Todd > > > On Fri, Sep 18, 2015 at 5:31 AM, John Holland < > john.holl...@objectpartners.com> wrote: > > > I've been experiencing this issue across several of our environments ever > > since we enabled the log cleaner for the __consumer_offsets topic. > > > > We are on version 0.8.2.1 of kafka, using the new producer. All of our > > consumers are set to commit to kafka only. > > > > Below is the stack trace in the log I've encountered across several > > different clusters. A simple restart of kafka will allow compaction to > > continue on all of the other partitions but the incorrect one will always > > fail. > > > > Here are the values for it from the kafka-topics --describe command: > > > > Topic:__consumer_offsets PartitionCount:50 ReplicationFactor:3 > > Configs:segment.bytes=104857600,cleanup.policy=compact > > > > Are there any recommendations on how to prevent this and the best way to > > recover from this exception? This is causing disk space to fill up > quickly > > on the node. > > > > I did see an open issue that seems very similar to this > > https://issues.apache.org/jira/browse/KAFKA-1641 but this is the > > __consumer_offsets topic which I have not had any part in setting up nor > > producing to. > > > > [2015-09-18 02:57:25,520] INFO Cleaner 0: Beginning cleaning of log > > __consumer_offsets-17. (kafka.log.LogCleaner) > > [2015-09-18 02:57:25,520] INFO Cleaner 0: Building offset map for > > __consumer_offsets-17... (kafka.log.LogCleaner) > > [2015-09-18 02:57:25,609] INFO Cleaner 0: Building offset map for log > > __consumer_offsets-17 for 46 segments in offset range [468079184, > > 528707475). (kafka.log.LogCleaner) > > [2015-09-18 02:57:25,645] ERROR [kafka-log-cleaner-thread-0], Error due > to > > (kafka.log.LogCleaner) > > java.lang.IllegalArgumentException: requirement failed: Last clean offset > > is 468079184 but segment base offset is 0 for log __consumer_offsets-17. > > at scala.Predef$.require(Predef.scala:233) > > at kafka.log.Cleaner.buildOffsetMap(LogCleaner.scala:509) > > at kafka.log.Cleaner.clean(LogCleaner.scala:307) > > at > > kafka.log.LogCleaner$CleanerThread.cleanOrSleep(LogCleaner.scala:221) > > at > kafka.log.LogCleaner$CleanerThread.doWork(LogCleaner.scala:199) > > at > kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60) > > [2015-09-18 02:57:25,654] INFO [kafka-log-cleaner-thread-0], Stopped > > (kafka.log.LogCleaner) > > > > -John > > >
