小记: 单机部署kafka ,进程启动不起来

背景: 单机部署卡夫卡伪分布式 发现仅启动了两台 还有一台 kafka启动不起

1. 查看内存
   内存ok,足够启动

[hadoop@hadoop001 config]$ free -h
              total        used        free      shared  buff/cache   available
Mem:           7.6G        3.5G        2.5G        405M        1.7G        3.6G
Swap:            0B          0B          0B

2. 那么查看 kafka server.log
   发现报错日志 保存数据的目录已被占用 修改配置即可

[2019-11-07 14:52:45,369] INFO [ThrottledChannelReaper-Fetch]: Starting (kafka.server.ClientQuotaManager$ThrottledChannelReaper)
[2019-11-07 14:52:45,370] INFO [ThrottledChannelReaper-Produce]: Starting (kafka.server.ClientQuotaManager$ThrottledChannelReaper)
[2019-11-07 14:52:45,371] INFO [ThrottledChannelReaper-Request]: Starting (kafka.server.ClientQuotaManager$ThrottledChannelReaper)
[2019-11-07 14:52:45,391] ERROR [KafkaServer id=0] Fatal error during KafkaServer startup. Prepare to shutdown (kafka.server.KafkaServer)
org.apache.kafka.common.KafkaException: Failed to acquire lock on file .lock in /home/hadoop/log/kafka-logs001. A Kafka instance in another process or thread is using this directory.
	at kafka.log.LogManager$$anonfun$lockLogDirs$1.apply(LogManager.scala:240)
	at kafka.log.LogManager$$anonfun$lockLogDirs$1.apply(LogManager.scala:236)
	at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
	at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
	at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
	at kafka.log.LogManager.lockLogDirs(LogManager.scala:236)
	at kafka.log.LogManager.<init>(LogManager.scala:97)
	at kafka.log.LogManager$.apply(LogManager.scala:1011)
	at kafka.server.KafkaServer.startup(KafkaServer.scala:240)
	at kafka.server.KafkaServerStartable.startup(KafkaServerStartable.scala:42)
	at kafka.Kafka$.main(Kafka.scala:75)
	at com.cloudera.kafka.wrap.Kafka$$anonfun$1.apply(Kafka.scala:92)
	at com.cloudera.kafka.wrap.Kafka$$anonfun$1.apply(Kafka.scala:92)
	at com.cloudera.kafka.wrap.Kafka$.runMain(Kafka.scala:103)
	at com.cloudera.kafka.wrap.Kafka$.main(Kafka.scala:95)
	at com.cloudera.kafka.wrap.Kafka.main(Kafka.scala)