服务日志
vim /var/log/kafka/server.log
2023-10-07 15:22:30,394] FATAL [Kafka Server 0], Fatal error during KafkaServer startup. Prepare to shutdown (kafka.server.KafkaServer)
java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57)
at java.nio.ByteBuffer.allocate(ByteBuffer.java:335)
at kafka.log.SkimpyOffsetMap.<init>(OffsetMap.scala:44)
at kafka.log.LogCleaner$CleanerThread.<init>(LogCleaner.scala:199)
at kafka.log.LogCleaner.$anonfun$cleaners$1(LogCleaner.scala:89)
at kafka.log.LogCleaner.$anonfun$cleaners$1$adapted(LogCleaner.scala:89)
at kafka.log.LogCleaner$$Lambda$310/1778629809.apply(Unknown Source)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:234)
at scala.collection.TraversableLike$$Lambda$12/775931202.apply(Unknown Source)
at scala.collection.immutable.Range.foreach(Range.scala:156)
at scala.collection.TraversableLike.map(TraversableLike.scala:234)
at scala.collection.TraversableLike.map$(TraversableLike.scala:227)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at kafka.log.LogCleaner.<init>(LogCleaner.scala:89)
at kafka.log.LogManager.<init>(LogManager.scala:72)
at kafka.server.KafkaServer.createLogManager(KafkaServer.scala:656)
at kafka.server.KafkaServer.startup(KafkaServer.scala:208)
at kafka.server.KafkaServerStartable.startup(KafkaServerStartable.scala:39)
at kafka.Kafka$.main(Kafka.scala:67)
at kafka.Kafka.main(Kafka.scala)
[2023-10-07 15:22:30,428] FATAL Fatal error during KafkaServerStartable startup. Prepare to shutdown (kafka.server.KafkaServerStartable)
java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57)
at java.nio.ByteBuffer.allocate(ByteBuffer.java:335)
at kafka.log.SkimpyOffsetMap.<init>(OffsetMap.scala:44)
at kafka.log.LogCleaner$CleanerThread.<init>(LogCleaner.scala:199)
at kafka.log.LogCleaner.$anonfun$cleaners$1(LogCleaner.scala:89)
at kafka.log.LogCleaner.$anonfun$cleaners$1$adapted(LogCleaner.scala:89)
at kafka.log.LogCleaner$$Lambda$310/1778629809.apply(Unknown Source)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:234)
at scala.collection.TraversableLike$$Lambda$12/775931202.apply(Unknown Source)
at scala.collection.immutable.Range.foreach(Range.scala:156)
at scala.collection.TraversableLike.map(TraversableLike.scala:234)
at scala.collection.TraversableLike.map$(TraversableLike.scala:227)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at kafka.log.LogCleaner.<init>(LogCleaner.scala:89)
at kafka.log.LogManager.<init>(LogManager.scala:72)
at kafka.server.KafkaServer.createLogManager(KafkaServer.scala:656)
at kafka.server.KafkaServer.startup(KafkaServer.scala:208)
at kafka.server.KafkaServerStartable.startup(KafkaServerStartable.scala:39)
at kafka.Kafka$.main(Kafka.scala:67)
at kafka.Kafka.main(Kafka.scala)
解决方案
从提供的日志中,可以看到Kafka在启动过程中遇到了java.lang.OutOfMemoryError: Java heap space
错误。这个错误表明Java堆空间不足,导致Kafka无法正常启动。
要解决此问题,您可以尝试以下方法:
-
增加Kafka的Java堆内存分配。编辑Kafka的配置文件(通常位于
config/server.properties
),找到KAFKA_HEAP_OPTS
设置,并增加-Xmx
和-Xms
的值。例如,将以下设置:KAFKA_HEAP_OPTS="-Xmx1g -Xms1g"
更改为:
KAFKA_HEAP_OPTS="-Xmx2g -Xms2g"
这将把Kafka的堆内存分配从1GB增加到2GB。根据您的服务器可用内存和Kafka的负载情况,可以适当调整这些值。
-
优化Kafka的日志清理设置。在Kafka的配置文件中,检查与日志清理相关的设置,如
log.cleaner.dedupe.buffer.size
、log.cleaner.threads
等。根据您的需求和资源限制,可以适当调整这些值以减少内存使用。 -
如果问题仍然存在,可能需要考虑升级服务器硬件以提供更多的内存资源。这对于处理大量消息和高并发场景的Kafka集群尤为重要。
-
检查Kafka所在服务器上的其他应用程序,确保它们没有占用过多的内存资源。如果有必要,可以考虑优化或关闭不必要的应用程序以释放内存。