kafka报错a fault occurred in a recent unsafe memory access operation in compiled Java code

kafka重启后进程异常消失。
查kafka日志，显示最近编译的Java代码中的不安全内存访问操作出现错误。
tail -1000 server.log.2023-12-24-14

[2023-12-24 14:19:25,568] ERROR There was an error in one of the threads during logs loading: java.lang.InternalError: a fault occurred in a recent unsafe memory access operation in compiled Java code (kafka.log.LogManager)
[2023-12-24 14:19:25,573] ERROR [KafkaServer id=44] Fatal error during KafkaServer startup. Prepare to shutdown (kafka.server.KafkaServer)
java.lang.InternalError: a fault occurred in a recent unsafe memory access operation in compiled Java code
	at org.apache.kafka.common.record.FileLogInputStream.nextBatch(FileLogInputStream.java:88)
	at org.apache.kafka.common.record.FileLogInputStream.nextBatch(FileLogInputStream.java:41)
	at org.apache.kafka.common.record.RecordBatchIterator.makeNext(RecordBatchIterator.java:35)
	at org.apache.kafka.common.record.RecordBatchIterator.makeNext(RecordBatchIterator.java:24)
	at org.apache.kafka.common.utils.AbstractIterator.maybeComputeNext(AbstractIterator.java:79)
	at org.apache.kafka.common.utils.AbstractIterator.hasNext(AbstractIterator.java:45)
	at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:43)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
	at kafka.log.LogSegment.recover(LogSegment.scala:344)
	at kafka.log.Log.recoverSegment(Log.scala:648)
	at kafka.log.Log.recoverLog(Log.scala:787)
	at kafka.log.Log.$anonfun$loadSegments$3(Log.scala:723)
	at scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23)
	at kafka.log.Log.retryOnOffsetOverflow(Log.scala:2360)
	at kafka.log.Log.loadSegments(Log.scala:723)
	at kafka.log.Log.<init>(Log.scala:287)
	at kafka.log.Log$.apply(Log.scala:2494)
	at kafka.log.LogManager.loadLog(LogManager.scala:274)
	at kafka.log.LogManager.$anonfun$loadLogs$12(LogManager.scala:353)
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

原因是日志目录满了，df -h查看

[root@44 bak]# df -h
Filesystem             Size  Used Avail Use% Mounted on
devtmpfs               284G     0  284G   0% /dev
/dev/mapper/rhel-root  542G   75G  468G  14% /
/dev/sdf1              1.7T  1.6T   92G  95% /data/data6
/dev/sds1              1.7T   33M  1.7T   1% /data/data19
/dev/sdd1              1.7T   57M  1.7T   1% /data/data4
/dev/sdb1              894G   33M  894G   1% /data/data2
/dev/sdr1              1.7T   33M  1.7T   1% /data/data18
/dev/sdq1              1.7T  1.6T   55G  97% /data/data17
/dev/sdk1              1.7T   68G  1.6T   5% /data/data11
/dev/sdl1              1.7T   23G  1.7T   2% /data/data12
/dev/sdx1              1.7T   33M  1.7T   1% /data/data24
/dev/sdm1              1.7T  4.1G  1.7T   1% /data/data13
/dev/sdt1              1.7T   33M  1.7T   1% /data/data20
/dev/sdy2              194M  149M   45M  78% /boot
/dev/sdp1              1.7T   43G  1.6T   3% /data/data16
/dev/sde1              1.7T   33M  1.7T   1% /data/data5
/dev/sdn1              1.7T   12G  1.7T   1% /data/data14
/dev/sdg1              1.7T  1.7T   15G 100% /data/data7
/dev/sdo1              1.7T  1.7T  150M 100% /data/data15
/dev/sdh1              1.7T   92G  1.6T   6% /data/data8
/dev/sdu1              1.7T   33M  1.7T   1% /data/data21
/dev/sdc1              894G   33M  894G   1% /data/data3
/dev/sda1              894G   33M  894G   1% /data/data1
/dev/sdw1              1.7T  301G  1.4T  18% /data/data23
/dev/sdv1              1.7T   33M  1.7T   1% /data/data22
/dev/sdi1              1.7T  111G  1.6T   7% /data/data9
/dev/sdj1              1.7T  1.6T  140G  92% /data/data10

在/data/data15，/data/data7等目录满的目录下查看：
cd /data/data15
du -lh --max-depth=1 . |sort -rn |head
发现某主题分区占用为996GB。
进入到该主题目录下查看，有超出3天的日志存在。
看server.properties配置中设置了日志保存时间为48小时。说明配置未生效。

查找原因为，未达到1G的分片大小，kafka不会进行分片，kafka不会对未分片的日志文件进行清理，所以log.retention.hours看似未进行清理日志。

添加以下配置后重启kafka，启动后日志等待一段时间会自动删除。

问题解决。