【kafka學習之五】kafka運維：kafka操作日志設置和主題刪除

一、操作日志

首先附上kafka 操作日志配置文件：log4j.properties

根據相應的需要設置日志。

#日志級別覆蓋規則  優先級：ALL < DEBUG < INFO <WARN < ERROR < FATAL < OFF
#1.子日志log4j.logger會覆蓋主日志log4j.rootLogger，這里設置的是日志輸出級別，Threshold設置appender的日志接收級別；
#2.log4j.logger級別低於Threshold,appender接收級別取決於Threshold級別；
#3.log4j.logger級別高於Threshold,appender接收級別取決於log4j.logger級別，因為輸出里就沒有Threshold要求的日志；
#4.子logger設置，主要與rootLogger區分開打印日志 一般與log4j.additivity配合使用
#log4j.additivity 是否繼承父Logger的輸出源（appender),默認是true 
#true 在stdout, kafkaAppender里輸出 也會在stateChangeAppender輸出 #這里需要單獨輸出 所以設置為false 只會在stateChangeAppender輸出 #log4j.logger后面如果沒有appender，則默認使用log4j.rootLogger后面設置的appender
#如果使用org.apache.log4j.RollingFileAppender  可以使用MaxFileSize設置最大文件大小  MaxBackupIndex設置最大文件數量

#主日志設置 
log4j.rootLogger=ERROR, stdout, kafkaAppender

#控制台的appender和layout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.kafkaAppender.Append=true
log4j.appender.kafkaAppender.Threshold=ERROR 
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=[%d] %p %m (%c)%n

#kafkaAppender的appender和layout
log4j.appender.kafkaAppender=org.apache.log4j.DailyRollingFileAppender
log4j.appender.kafkaAppender.DatePattern='.'yyyy-MM-dd-HH
log4j.appender.kafkaAppender.File=${kafka.logs.dir}/server.log
log4j.appender.kafkaAppender.Append=true
log4j.appender.kafkaAppender.Threshold=ERROR 
log4j.appender.kafkaAppender.layout=org.apache.log4j.PatternLayout
log4j.appender.kafkaAppender.layout.ConversionPattern=[%d] %p %m (%c)%n

#狀態變化日志
log4j.logger.state.change.logger=ERROR, stateChangeAppender
log4j.additivity.state.change.logger=false
log4j.appender.stateChangeAppender=org.apache.log4j.DailyRollingFileAppender
log4j.appender.stateChangeAppender.DatePattern='.'yyyy-MM-dd-HH
log4j.appender.stateChangeAppender.File=${kafka.logs.dir}/state-change.log
log4j.appender.stateChangeAppender.layout=org.apache.log4j.PatternLayout
log4j.appender.stateChangeAppender.layout.ConversionPattern=[%d] %p %m (%c)%n

#請求處理
log4j.logger.kafka.request.logger=ERROR, requestAppender
log4j.additivity.kafka.request.logger=false
log4j.logger.kafka.network.Processor=ERROR, requestAppender
log4j.additivity.kafka.network.Processor=false
log4j.logger.kafka.server.KafkaApis=ERROR, requestAppender
log4j.additivity.kafka.server.KafkaApis=false
log4j.logger.kafka.network.RequestChannel$=ERROR, requestAppender
log4j.additivity.kafka.network.RequestChannel$=false
log4j.appender.requestAppender=org.apache.log4j.DailyRollingFileAppender
log4j.appender.requestAppender.DatePattern='.'yyyy-MM-dd-HH
log4j.appender.requestAppender.File=${kafka.logs.dir}/kafka-request.log
log4j.appender.requestAppender.layout=org.apache.log4j.PatternLayout
log4j.appender.requestAppender.layout.ConversionPattern=[%d] %p %m (%c)%n

#kafka-logs清理
log4j.logger.kafka.log.LogCleaner=ERROR, cleanerAppender
log4j.additivity.kafka.log.LogCleaner=false
log4j.appender.cleanerAppender=org.apache.log4j.DailyRollingFileAppender
log4j.appender.cleanerAppender.DatePattern='.'yyyy-MM-dd-HH
log4j.appender.cleanerAppender.File=${kafka.logs.dir}/log-cleaner.log
log4j.appender.cleanerAppender.layout=org.apache.log4j.PatternLayout
log4j.appender.cleanerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n

#controller
log4j.logger.kafka.controller=ERROR, controllerAppender
log4j.additivity.kafka.controller=false
log4j.appender.controllerAppender=org.apache.log4j.DailyRollingFileAppender
log4j.appender.controllerAppender.DatePattern='.'yyyy-MM-dd-HH
log4j.appender.controllerAppender.File=${kafka.logs.dir}/controller.log
log4j.appender.controllerAppender.layout=org.apache.log4j.PatternLayout
log4j.appender.controllerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n

#authorizer
log4j.logger.kafka.authorizer.logger=ERROR, authorizerAppender
log4j.additivity.kafka.authorizer.logger=false
log4j.appender.authorizerAppender=org.apache.log4j.DailyRollingFileAppender
log4j.appender.authorizerAppender.DatePattern='.'yyyy-MM-dd-HH
log4j.appender.authorizerAppender.File=${kafka.logs.dir}/kafka-authorizer.log
log4j.appender.authorizerAppender.layout=org.apache.log4j.PatternLayout
log4j.appender.authorizerAppender.layout.ConversionPattern=[%d] %p %m (%c)%n

#ZkClient
log4j.logger.org.I0Itec.zkclient.ZkClient=ERROR
#zookeeper
log4j.logger.org.apache.zookeeper=ERROR
#kafka
log4j.logger.kafka=ERROR
#org.apache.kafka
log4j.logger.org.apache.kafka=ERROR

 

其次 kafka默認打印GC日志，如下，

[cluster@PCS102 logs]$ ls
kafka-authorizer.log          kafkaServer-gc.log.3  kafkaServer-gc.log.8      server.log.2018-10-22-14
kafka-request.log             kafkaServer-gc.log.4  kafkaServer-gc.log.9      server.log.2018-10-22-15
kafkaServer-gc.log.0          kafkaServer-gc.log.5  kafkaServer.out
kafkaServer-gc.log.1          kafkaServer-gc.log.6  server.log
kafkaServer-gc.log.2.current  kafkaServer-gc.log.7  server.log.2018-10-22-13

 

生產是不需要的   需要關掉，kafka home bin目錄下面有個kafka-run-class.sh腳本  vim編輯一下

將參數 KAFKA_GC_LOG_OPTS=" " 設置為空格即可，重啟kafka之后就不再打印GC日志了。

[cluster@PCS102 bin]$ vim kafka-run-class.sh

GC_FILE_SUFFIX='-gc.log'
GC_LOG_FILE_NAME=''
if [ "x$GC_LOG_ENABLED" = "xtrue" ]; then
  GC_LOG_FILE_NAME=$DAEMON_NAME$GC_FILE_SUFFIX
  KAFKA_GC_LOG_OPTS="-Xloggc:$LOG_DIR/$GC_LOG_FILE_NAME -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+PrintGCTimeStamps -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=10 -XX:GCLogFileSize=100M"
KAFKA_GC_LOG_OPTS=" "
fi

 

 

可以寫個定時清理腳本來清除日志結合 crontab ：0 0 2 * * ? /home/cluster/kafka211/bin/cleanupkafkalog.sh

#!/bin/bash

# log dir
logDir=/home/cluster/kafka211/logs
#keep 60 file
count=60
count=$[$count+1]
LOGNUM=`ls -l /home/cluster/kafka211/logs/server.log.* |wc -l`
if [ $LOGNUM -gt 0 ]; then
    ls -t $logDir/server.log.* | tail -n +$count | xargs rm -f
fi

#kafkaServer.out 
if [ -e "$logDir/kafkaServer.out" ]; then
    rm -f /home/cluster/kafka211/logs/kafkaServer.out
fi

二、刪除主題和主題對應消息數據

舉例刪除主題：t1205
(1)在kafka集群中刪除topic，當前topic被標記成刪除。
./kafka-topics.sh --zookeeper node3:2181,node4:2181,node5:2181 --delete --topic t1205

(2)在每台broker節點上刪除當前這個topic對應的真實數據。
刪除kafka相關的數據目錄，數據目錄請參考目標機器上的kafka配置：server.properties -> log.dirs=/var/kafka/log/tmp
rm -r /var/kafka/log/tmp/t1205*

(3)進入zookeeper客戶端，刪除topic信息
rmr /brokers/topics/t1205

(4)刪除zookeeper中被標記為刪除的topic信息
rmr /admin/delete_topics/t1205

最后重啟ZK和kafka集群，查看是否還有
./kafka-topics.sh --list --zookeeper node3:2181,node4:2181,node5:2181