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https://issues.apache.org/jira/browse/KAFKA-6533?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ray Chiang updated KAFKA-6533:
------------------------------
Component/s: log
> Kafka log cleaner stopped due to "cannot allocate memory" error
> ---------------------------------------------------------------
>
> Key: KAFKA-6533
> URL: https://issues.apache.org/jira/browse/KAFKA-6533
> Project: Kafka
> Issue Type: Bug
> Components: log
> Affects Versions: 0.10.2.0
> Reporter: Law
> Priority: Major
>
> Hi,
> I am on Kafka 0.10.2.0 and have an issue where the log cleaner is running
> okay but suddenly stops because of a "cannot allocate memory" error.
> Here is the error from log-cleaner.log file:
> [2018-02-04 02:57:41,343] INFO [kafka-log-cleaner-thread-0],
> Log cleaner thread 0 cleaned log __consumer_offsets-35 (dirty section
> = [31740820448, 31740820448])
> 100.1 MB of log processed in 1.5 seconds (67.5 MB/sec).
> Indexed 100.0 MB in 0.8 seconds (131.8 Mb/sec, 51.2% of total time)
> Buffer utilization: 0.0%
> Cleaned 100.1 MB in 0.7 seconds (138.2 Mb/sec, 48.8% of total time)
> Start size: 100.1 MB (771,501 messages)
> End size: 0.1 MB (501 messages)
> 99.9% size reduction (99.9% fewer messages)
> (kafka.log.LogCleaner)
> [2018-02-04 02:57:41,348] INFO Cleaner 0: Beginning cleaning of log
> __consumer_offsets-15. (kafka.log.LogCleaner)
> [2018-02-04 02:57:41,348] INFO Cleaner 0: Building offset map for
> __consumer_offsets-15... (kafka.log.LogCleaner)
> [2018-02-04 02:57:41,359] INFO Cleaner 0: Building offset map for log
> __consumer_offsets-15 for 1 segments in offset range [19492717509,
> 19493524087). (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,067] INFO Cleaner 0: Offset map for log
> __consumer_offsets-15 complete. (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,067] INFO Cleaner 0: Cleaning log __consumer_offsets-15
> (cleaning prior to Sun Feb 04 02:57:34 GMT 2018, discarding tombstones prior
> to Sat Feb 03 02:53:31 GMT 2018)... (k
> [2018-02-04 02:57:42,068] INFO Cleaner 0: Cleaning segment 0 in log
> __consumer_offsets-15 (largest timestamp Sat Sep 02 15:26:15 GMT 2017) into
> 0, discarding deletes. (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,078] INFO Cleaner 0: Swapping in cleaned segment 0 for
> segment(s) 0 in log __consumer_offsets-15. (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,078] INFO Cleaner 0: Cleaning segment 2148231985 in log
> __consumer_offsets-15 (largest timestamp Thu Sep 28 15:50:19 GMT 2017) into
> 2148231985, discarding deletes. (kafka.
> [2018-02-04 02:57:42,080] INFO Cleaner 0: Swapping in cleaned segment
> 2148231985 for segment(s) 2148231985 in log __consumer_offsets-15.
> (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,081] INFO Cleaner 0: Cleaning segment 4296532622 in log
> __consumer_offsets-15 (largest timestamp Tue Oct 24 10:33:20 GMT 2017) into
> 4296532622, discarding deletes. (kafka.
> [2018-02-04 02:57:42,083] INFO Cleaner 0: Swapping in cleaned segment
> 4296532622 for segment(s) 4296532622 in log __consumer_offsets-15.
> (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,083] INFO Cleaner 0: Cleaning segment 6444525822 in log
> __consumer_offsets-15 (largest timestamp Mon Nov 20 11:33:30 GMT 2017) into
> 6444525822, discarding deletes. (kafka.
> [2018-02-04 02:57:42,085] INFO Cleaner 0: Swapping in cleaned segment
> 6444525822 for segment(s) 6444525822 in log __consumer_offsets-15.
> (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,086] INFO Cleaner 0: Cleaning segment 8592045249 in log
> __consumer_offsets-15 (largest timestamp Sat Dec 16 06:35:53 GMT 2017) into
> 8592045249, discarding deletes. (kafka.
> [2018-02-04 02:57:42,088] INFO Cleaner 0: Swapping in cleaned segment
> 8592045249 for segment(s) 8592045249 in log __consumer_offsets-15.
> (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,088] INFO Cleaner 0: Cleaning segment 10739582585 in log
> __consumer_offsets-15 (largest timestamp Wed Dec 27 21:15:44 GMT 2017) into
> 10739582585, discarding deletes. (kafk
> [2018-02-04 02:57:42,091] INFO Cleaner 0: Swapping in cleaned segment
> 10739582585 for segment(s) 10739582585 in log __consumer_offsets-15.
> (kafka.log.LogCleaner)
> [2018-02-04 02:57:42,096] ERROR [kafka-log-cleaner-thread-0], Error due to
> (kafka.log.LogCleaner)
> java.io.FileNotFoundException:
> /kafka/broker1-logs/__consumer_offsets-15/00000000012887210320.log.cleaned
> (Cannot allocate memory)
> at java.io.RandomAccessFile.open0(Native Method)
> at java.io.RandomAccessFile.open(RandomAccessFile.java:316)
> at java.io.RandomAccessFile.<init>(RandomAccessFile.java:243)
> at
> org.apache.kafka.common.record.FileRecords.openChannel(FileRecords.java:428)
> at
> org.apache.kafka.common.record.FileRecords.open(FileRecords.java:384)
> at
> org.apache.kafka.common.record.FileRecords.open(FileRecords.java:393)
> at kafka.log.Cleaner.cleanSegments(LogCleaner.scala:394)
> at kafka.log.Cleaner.$anonfun$clean$6(LogCleaner.scala:363)
> at kafka.log.Cleaner.$anonfun$clean$6$adapted(LogCleaner.scala:362)
> at scala.collection.immutable.List.foreach(List.scala:378)
> at kafka.log.Cleaner.clean(LogCleaner.scala:362)
> at
> kafka.log.LogCleaner$CleanerThread.cleanOrSleep(LogCleaner.scala:241)
> at kafka.log.LogCleaner$CleanerThread.doWork(LogCleaner.scala:220)
> at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:63)
> [2018-02-04 02:57:42,096] INFO [kafka-log-cleaner-thread-0], Stopped
> (kafka.log.LogCleaner)
>
> Here are log cleaner settings that I have set:
> log.cleaner.backoff.ms = 15000
> log.cleaner.dedupe.buffer.size = 134217728
> log.cleaner.delete.retention.ms = 86400000
> log.cleaner.enable = true
> log.cleaner.io.buffer.load.factor = 0.9
> log.cleaner.io.buffer.size = 524288
> log.cleaner.io.max.bytes.per.second = 1.7976931348623157E308
> log.cleaner.min.cleanable.ratio = 0.5
> log.cleaner.min.compaction.lag.ms = 0
> log.cleaner.threads = 2
> log.cleanup.policy =
>
> I haven't found any explanation online of what the issue might be. Can anyone
> help?
> The only way that I know of to fix this is to restart the broker. Is there
> another way to restart the logcleaner without restart the broker?
> Thanks in advance
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