ELK日志分析系统的搭建

一、环境准备

1.安装java环境：

yum install java-1.8.0-openjdk* -y

2.添加elk执行用户：

groupadd -g 77 elkuseradd -u 77 -g elk -d /home/elk -s /bin/bash elk

3.在 /etc/security/limits.conf 追加以下内容：

elk soft memlock unlimitedelk hard memlock unlimited* soft nofile 65536* hard nofile 131072

4.执行生效

sysctl -p

5.配置主机名

hostnamectl set-hostname monitor-elkecho "10.135.3.135     monitor-elk" >> /etc/hosts

二、服务部署

1.服务端：

1）下载ELK相关的源码包：

wget "https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.2.2.tar.gz"wget "https://artifacts.elastic.co/downloads/logstash/logstash-5.2.2.tar.gz"wget "https://artifacts.elastic.co/downloads/kibana/kibana-5.2.2-linux-x86_64.tar.gz"wget "http://mirror.bit.edu.cn/apache/kafka/0.10.2.0/kafka_2.12-0.10.2.0.tgz"wget "http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.4.9/zookeeper-3.4.9.tar.gz"

2）创建elk目录，并将以上源码包解压至该目录：

mkdir /usr/local/elkmkdir -p /data/elasticsearch/chown -R elk.elk /data/elasticsearch/mkdir -p /data/{kafka,zookeeper}mv logstash-5.2.2 logstash && mv kibana-5.2.2-linux-x86_64 kibana && mv elasticsearch-5.2.2 elasticsearch && mv filebeat-5.2.2-linux-x86_64 filebeat && mv kafka_2.12-0.10.2.0 kafka && mv zookeeper-3.4.9 zookeeperchown -R elk.elk /usr/local/elk/

程序目录列表如下：

3）修改以下程序的相应配置文件

①kibana：

[root@monitor-elk ~]# cat /usr/local/elk/kibana/config/kibana.yml |grep -v "^#\|^$"server.host: "localhost"elasticsearch.url: "http://localhost:9200"elasticsearch.requestTimeout: 30000logging.dest: /data/elk/logs/kibana.log[root@monitor-elk ~]#

②elasticsearch：

[root@monitor-elk ~]# cat /usr/local/elk/elasticsearch/config/elasticsearch.yml |grep -v "^#\|^$"node.name: node01path.data: /data/elasticsearch/datapath.logs: /data/elk/logs/elasticsearchbootstrap.memory_lock: truenetwork.host: 127.0.0.1http.port: 9200[root@monitor-elk ~]# /usr/local/elk/elasticsearch/config/jvm.options#修改以下参数-Xms1g-Xmx1g

③logstash：

[root@monitor-elk ~]# cat /usr/local/elk/logstash/config/logs.yml

input {    #使用kafka的数据作为日志数据源    kafka    {        bootstrap_servers => ["127.0.0.1:9092"]        topics => "beats"        codec => json    }}filter {   #过滤数据，如果日志数据里面包含有该IP地址，将会被丢弃   if [message] =~ "123.151.4.10" {       drop{}   }# 转码，转成正常的url编码，如中文#   urldecode {#       all_fields => true#   }# nginx access   #通过type来判断传入的日志类型   if [type] == "hongbao-nginx-access" or [type] == "pano-nginx-access" or [type] == "logstash-nginx-access" {    grok {        #指定自定义的grok表达式路径        patterns_dir => "./patterns"        #指定自定义的正则表达式名称解析日志内容，拆分成各个字段        match => { "message" => "%{NGINXACCESS}" }        #解析完毕后，移除默认的message字段        remove_field => ["message"]    }    #使用geoip库解析IP地址    geoip {        #指定解析后的字段作为数据源        source => "clientip"        fields => ["country_name", "ip", "region_name"]    }    date {         #匹配日志内容里面的时间，如 05/Jun/2017:03:54:01 +0800         match => ["timestamp","dd/MMM/yyyy:HH:mm:ss Z"]         #将匹配到的时间赋值给@timestamp字段         target => "@timestamp"         remove_field => ["timestamp"]    }   }#  tomcat access  if [type] == "hongbao-tomcat-access" or [type] == "ljq-tomcat-access" {    grok {        patterns_dir => "./patterns"        match => { "message" => "%{TOMCATACCESS}" }        remove_field => ["message"]    }    geoip {        source => "clientip"        fields => ["country_name", "ip", "region_name"]    }    date {         match => ["timestamp","dd/MMM/yyyy:HH:mm:ss Z"]         target => "@timestamp"         remove_field => ["timestamp"]    }   }# tomcat catalina  if [type] == "hongbao-tomcat-catalina" {    grok {     match => {                "message" => "^(?\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3}) (?\w*) (?.+)"            }                remove_field => ["message"]    }    date {         match => ["log_time","yyyy-MM-dd HH:mm:ss,SSS"]         target => "@timestamp"         remove_field => ["log_time"]    }   }} output {    #将解析失败的记录写入到指定的文件中    if "_grokparsefailure" in [tags] {        file {             path => "/data/elk/logs/grokparsefailure-%{[type]}-%{+YYYY.MM}.log"        }    }   # nginx access    #根据type日志类型分别输出到elasticsearch不同的索引    if [type] == "hongbao-nginx-access" {            #将处理后的结果输出到elasticsearch        elasticsearch {            hosts => ["127.0.0.1:9200"]            #指定输出到当天的索引            index => "hongbao-nginx-access-%{+YYYY.MM.dd}"        }    }    if [type] == "pano-nginx-access" {        elasticsearch {            hosts => ["127.0.0.1:9200"]            index => "pano-nginx-access-%{+YYYY.MM.dd}"        }    }    if [type] == "logstash-nginx-access" {        elasticsearch {            hosts => ["127.0.0.1:9200"]            index => "logstash-nginx-access-%{+YYYY.MM.dd}"        }    }# tomcat access    if [type] == "hongbao-tomcat-access" {        elasticsearch {            hosts => ["127.0.0.1:9200"]            index => "hongbao-tomcat-access-%{+YYYY.MM.dd}"        }    }    if [type] == "ljq-tomcat-access" {        elasticsearch {            hosts => ["127.0.0.1:9200"]            index => "ljq-tomcat-access-%{+YYYY.MM.dd}"        }    }# tomcat catalina    if [type] == "hongbao-tomcat-catalina" {        elasticsearch {            hosts => ["127.0.0.1:9200"]            index => "hongbao-tomcat-catalina-%{+YYYY.MM.dd}"        }    }}

[root@monitor-elk ~]#配置正则表达式[root@monitor-elk ~]# cp /usr/local/elk/logstash/vendor/bundle/jruby/1.9/gems/logstash-patterns-core-4.0.2/patterns/grok-patterns /usr/local/elk/logstash/config/patterns[root@monitor-elk  ~]# tail -5 /usr/local/elk/logstash/config/patterns# NginxNGINXACCESS %{COMBINEDAPACHELOG} %{QS:x_forwarded_for}# TomcatTOMCATACCESS %{COMMONAPACHELOG}[root@monitor-elk ~]# chown elk.elk /usr/local/elk/logstash/config/patterns

4）配置zookeeper：

cp /usr/local/elk/zookeeper/conf/zoo_sample.cfg /usr/local/elk/zookeeper/conf/zoo.cfg

修改配置文件中的数据存储路径

vim /usr/local/elk/zookeeper/conf/zoo.cfgdataDir=/data/zookeeper

备份并修改脚本 /usr/local/elk/zookeeper/bin/zkEnv.sh

修改以下变量的参数

ZOO_LOG_DIR="/data/zookeeper-logs"ZOO_LOG4J_PROP="INFO,ROLLINGFILE"

备份并修改日志配置 /usr/local/elk/zookeeper/conf/log4j.properties

修改以下变量的参数

zookeeper.root.logger=INFO, ROLLINGFILElog4j.appender.ROLLINGFILE=org.apache.log4j.DailyRollingFileAppender# 每天轮转日志

启动zookeeper：

/usr/local/elk/zookeeper/bin/zkServer.sh start

5）配置kafka：

修改配置文件 /usr/local/elk/kafka/config/server.properties 的以下参数

log.dirs=/data/kafkazookeeper.connect=localhost:2181

备份并修改脚本 /usr/local/elk/kafka/bin/kafka-run-class.sh

在"base_dir=$(dirname $0)/.. "的下一行追加LOG_DIR变量，并指定日志输出路径

LOG_DIR=/data/kafka-logs

创建日志存储目录：

mkdir -p /data/kafka-logsmkdir -p /data/elk/logschown -R elk.elk /data/elk/logs

启动kafka：

nohup /usr/local/elk/kafka/bin/kafka-server-start.sh /usr/local/elk/kafka/config/server.properties &>> /data/elk/logs/kafka.log &

需要注意的是主机名一定要有配置在/etc/hosts文件中，否则kafka会无法启动

[root@monitor-elk ~]# cat /etc/hosts127.0.0.1  localhost  localhost.localdomain::1         localhost localhost.localdomain localhost6 localhost6.localdomain610.135.3.135     monitor-elk

6）配置supervisor

①安装supervisor：

yum install supervisor -y

设置服务开机自启动(server程序也会一起启动)：

systemctl enable supervisord.service

②修改配置

a.创建日志存储路径：

mkdir -p /data/supervisorchown -R elk.elk /data/supervisor/

b.修改主配置文件 /etc/supervisord.conf

logfile=/data/supervisor/supervisord.log

c.创建elk程序对应的supervisor配置文件，并添加以下配置内容：

[root@monitor-elk ~]# cat /etc/supervisord.d/elk.ini [program:elasticsearch]directory=/usr/local/elk/elasticsearchcommand=su -c "/usr/local/elk/elasticsearch/bin/elasticsearch" elkautostart=truestartsecs=5autorestart=truestartretries=3priority=10[program:logstash]directory=/usr/local/elk/logstashcommand=/usr/local/elk/logstash/bin/logstash -f /usr/local/elk/logstash/config/logs.ymluser=elkautostart=truestartsecs=5autorestart=truestartretries=3redirect_stderr=truestdout_logfile=/data/elk/logs/logstash.logstdout_logfile_maxbytes=1024MBstdout_logfile_backups=10priority=11[program:kibana]directory=/usr/local/elk/kibanacommand=/usr/local/elk/kibana/bin/kibanauser=elkautostart=truestartsecs=5autorestart=truestartretries=3priority=12[root@monitor-elk ~]#

③启动supervisor：

systemctl start supervisord

查看程序进程和日志：

ps aux|grep -v grep|grep "elasticsearch\|logstash\|kibana"

tip：

重启配置的单个程序，如：

supervisorctl restart logstash

重启配置的所有程序：

supervisorctl restart all

重载配置（只重启配置变动的对应程序，其他配置未变动的程序不重启）：

supervisorctl update

7）配置nginx

①安装nginx

yum install nginx -y

②配置nginx代理:

[root@monitor-elk ~]# cat /etc/nginx/conf.d/kibana.conf upstream kibana {    server 127.0.0.1:5601 max_fails=3 fail_timeout=30s;}server {    listen       8080;    server_name  localhost;    location / {        proxy_pass http://kibana/;        index index.html index.htm;        #auth        auth_basic "kibana Private";        auth_basic_user_file /etc/nginx/.htpasswd;    } }[root@monitor-elk ~]# grep listen /etc/nginx/nginx.conflisten       8000 default_server;listen       [::]:8000 default_server;[root@monitor-elk ~]#

③创建nginx认证：

[root@monitor-elk ~]# yum install httpd -y[root@monitor-elk ~]# htpasswd -cm /etc/nginx/.htpasswd elkNew password: Re-type new password: Adding password for user elk[root@monitor-elk ~]# systemctl start nginx[root@monitor-elk ~]# systemctl enable nginx

8）配置ik中文分词：

①安装maven：

wget "http://mirror.bit.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz"tar -zxf apache-maven-3.3.9-bin.tar.gzmv apache-maven-3.3.9 /usr/local/mavenecho "export MAVEN_HOME=/usr/local/maven" >> /etc/bashrcecho "export PATH=$PATH:$MAVEN_HOME/bin" >> /etc/bashrc. /etc/bashrc

②编译安装ik（注意下载对应版本）：

wget "https://github.com/medcl/elasticsearch-analysis-ik/archive/v5.2.2.zip"unzip v5.2.2.zipcd elasticsearch-analysis-ik-5.2.2/mvn packagemkdir /usr/local/elk/elasticsearch/plugins/ikcp target/releases/elasticsearch-analysis-ik-5.2.2.zip /usr/local/elk/elasticsearch/plugins/ik/cd /usr/local/elk/elasticsearch/plugins/ik/unzip elasticsearch-analysis-ik-5.2.2.zip rm -f elasticsearch-analysis-ik-5.2.2.zipchown -R elk.elk ../iksupervisorctl restart elasticsearch

③创建索引模板：

要使用ik分词，需要在创建指定的索引前（不管是通过命令手动还是logstash配置来创建）先创建索引模板，否则使用默认的模板即可：

cd /usr/local/elk/logstash

创建并编辑文件 logstash.json ，添加以下内容：

{    "order" : 1,    "template" : "tomcatcat-*",    "settings" : {      "index" : {        "refresh_interval" : "5s"      }    },    "mappings" : {      "_default_" : {        "dynamic_templates" : [          {            "string_fields" : {              "mapping" : {                "norms" : false,                "type" : "text",                "analyzer": "ik_max_word",                "search_analyzer": "ik_max_word"              },              "match_mapping_type" : "text",              "match" : "*"            }          }        ],        "_all" : {          "norms" : false,          "enabled" : true        },        "properties" : {          "@timestamp" : {            "include_in_all" : false,            "type" : "date"          },          "log_data": {            "include_in_all" : true,            "type" : "text",            "analyzer": "ik_max_word",            "search_analyzer": "ik_max_word",            "boost" : 8          },          "@version" : {            "include_in_all" : false,            "type" : "keyword"          }        }      }    },    "aliases" : { }}'

添加完毕后，执行curl命令创建索引模板

curl -XPUT 'http://localhost:9200/_template/tomcatcat' -d @logstash.json

执行成功后会返回结果 {"acknowledged":true}

④热更新配置：

有些词语ik无法识别分词，如公司名称、服务名称之类

curl -XGET 'http://localhost:9200/_analyze?pretty&analyzer=ik_smart' -d '腾讯云'

这时需要自己自定义词库，ik支持分词热更新的方式（不需要重启elasticsearch），每分钟自动检测一次

在nginx根路径下创建一个utf8格式的文本文件 ik.txt ，将自己需要分词的词语写入ik.txt，一行一词：

然后修改/usr/local/elk/elasticsearch/plugins/ik/config/IKAnalyzer.cfg.xml

http://127.0.0.1:8000/ik.txt

配置完毕重启elasticsearch，再次获取分词结果：

2.客户端：

1）下载filebeat:

wget "https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-5.2.2-linux-x86_64.tar.gz"

解压filebeat-5.2.2-linux-x86_64.tar.gz至/usr/local/elk/目录，并重命名为filebeat

mkdir /usr/local/elk/mkdir -p /data/elk/logs/echo "10.135.3.135     elk" >> /etc/hosts

2）配置filebeat：

[root@test2 filebeat]# cat logs.ymlfilebeat.prospectors:-#指定需要监控的日志文件路径，可以使用*匹配paths:- /data/nginx/log/*_access.log#指定文件的输入类型为log（默认）input_type: log#设定日志类型document_type: pano-nginx-access#从文件的末尾开始监控文件新增的内容，并按行依次发送tail_files: true#将日志内容输出到kafkaoutput.kafka:hosts: ["10.135.3.135:9092"]topic: beatscompression: Snappy[root@test2 filebeat]#[root@test3 filebeat]# cat logs.ymlfilebeat.prospectors:-  paths:    - /usr/local/tomcat/logs/*access_log.*.txt  input_type: log  document_type: hongbao-tomcat-access  tail_files: true- paths:    - /usr/local/tomcat/logs/catalina.out  input_type: log  document_type: hongbao-tomcat-catalina  #多行匹配模式，后接正则表达式，这里表示匹配时间，如 2017-06-05 10:00:00,713  multiline.pattern: '^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3}'  #将未匹配到的行合并到上一行，如java的错误日志  multiline.negate: true  #将未匹配到的行添加到上一行的末尾  multiline.match: after  tail_files: trueoutput.kafka:hosts: ["10.135.3.135:9092"]topic: beatscompression: Snappy[root@test3 filebeat]#

3）启动filebeat

nohup /usr/local/elk/filebeat/filebeat -e -c /usr/local/elk/filebeat/logs.yml -d "publish" &>> /data/elk/logs/filebeat.log &

三、kibana web端配置

1.浏览器访问kibana地址，并输入前面nginx设置的账号密码：

http://10.135.3.135:8080

在访问 Kibana 时，默认情况下将加载 Discover（发现） 页面，并选择默认的索引模式（logstash-*）。 time filter（时间过滤器）默认设置为 last 15 minutes（最近 15 分钟），搜索查询默认设置为 match-all（*）。

服务器资源状态页：

http://10.135.3.135:8080/status

2.建立索引模式

注意，索引模式的名称要和logstash的output生成的索引（也就是说必须存在于Elasticsearch中，而且必须包含有数据）进行匹配，如logstash-*可与logstash-20170330匹配，还可以匹配多个索引（所有以logstash-开头的索引）。

*匹配索引名称中的零个或多个字符

3.索引建立完毕后，点击Discover中的索引模式，即可看到Elasticsearch的日志数据

4.创建可视化图表

绘制可视化图表，将拆分出来的nginx或tomcat访问日志中的字段response状态码进行聚合显示，以图表的形式直观显示各状态码（如200、400等）的统计情况

1）点击 Visualize 中 Vertical Bar Charts（垂直条形图）

2）选择其中一个索引模式，如 pano-*

3）通过字段 response.keyword 指定 terms（词条）聚合，按从大到小的顺序来显示前五列状态码的总数数据，然后点击 Apply changes 图标生效。

图表中，X轴显示的是状态码，Y轴显示的是对应的状态码总数。

4）最后点击右上角的 Save 保存，同时输入一个可视化的名称。

5.创建仪表盘

可以将相同业务或类型的可视化对象，集中显示在同一个仪表盘中。

1）点击 add 添加可视化对象到仪表盘，

2）点击创建好的可视化对象，将会排列在在仪表盘的窗口中。对其可视化对象的窗口大小进行合适的调整。

3）添加和调整完毕后，点击右上角的 Save 保存，同时输入一个仪表盘的名称。

4）显示的结果

四、服务监控脚本

1.服务端

1)kafka

[root@monitor-elk  ~]# cat /usr/local/scripts/monitor_kafka.sh#!/bin/bash############################################### author:Ellen# describes:Check kafka program# version:v1.0# updated:20170407############################################### Configuration informationprogram_dir=/usr/local/elk/kafkalogfile=/usr/local/scripts/log/monitor_kafka.log# Check executed userif [ `whoami` != "root" ];thenecho "Please use root run script!!!"exit 1fi# Check kafka programnum=`ps aux|grep -w $program_dir|grep -vw "grep\|vim\|vi\|mv\|scp\|cat\|dd\|tail\|head\|script\|ls\|echo\|sys_log\|logger\|tar\|rsync\|ssh"|wc -l`if [ ${num} -eq 0 ];thenecho "[`date +'%F %T'`] [CRITICAL] Kafka program dost not start!!!"|tee -a $logfile# Send alarm information#cagent_tools是腾讯云服务器自带的报警插件，该插件可发送短信或邮箱告警，如不需要可注释/usr/bin/cagent_tools alarm "Kafka program dost not start!!!"echo "[`date +'%F %T'`] [  INFO  ] Begin start kafka program..."|tee -a $logfilenohup /usr/local/elk/kafka/bin/kafka-server-start.sh /usr/local/elk/kafka/config/server.properties &>> /data/elk/logs/kafka.log &if [ $? -eq 0 ];thenecho "[`date +'%F %T'`] [  INFO  ] Kafka program start successful."|tee -a $logfile/usr/bin/cagent_tools alarm "Kafka program start successful"exit 0elseecho "[`date +'%F %T'`] [CRITICAL] Kafka program start failed!!!"|tee -a $logfile/usr/bin/cagent_tools alarm "Kafka program start failed!!!Please handle it!!!"exit 6fielseecho "[`date +'%F %T'`] [  INFO  ] Kafka program is running..."|tee -a $logfileexit 0fi[root@monitor-elk ~]#

2)zookeeper

[root@monitor-elk ~]# cat /usr/local/scripts/monitor_zookeeper.sh#!/bin/bash############################################### author:Ellen# describes:Check zookeeper program# version:v1.0# updated:20170407############################################### Configuration informationprogram_dir=/usr/local/elk/zookeeperlogfile=/usr/local/scripts/log/monitor_zookeeper.log# Check executed userif [ `whoami` != "root" ];thenecho "Please use root run script!!!"exit 1fi# Check zookeeper programnum=`ps aux|grep -w $program_dir|grep -vw "grep\|vim\|vi\|mv\|scp\|cat\|dd\|tail\|head\|ls\|echo\|sys_log\|tar\|rsync\|ssh"|wc -l`if [ ${num} -eq 0 ];thenecho "[`date +'%F %T'`] [CRITICAL] Zookeeper program dost not start!!!"|tee -a $logfile# Send alarm information/usr/bin/cagent_tools alarm "Zookeeper program dost not start!!!"echo "[`date +'%F %T'`] [  INFO  ] Begin start zookeeper program..."|tee -a $logfile/usr/local/elk/zookeeper/bin/zkServer.sh startif [ $? -eq 0 ];thenecho "[`date +'%F %T'`] [  INFO  ] Zookeeper program start successful."|tee -a $logfile/usr/bin/cagent_tools alarm "Zookeeper program start successful"exit 0elseecho "[`date +'%F %T'`] [CRITICAL] Zookeeper program start failed!!!"|tee -a $logfile/usr/bin/cagent_tools alarm "Zookeeper program start failed!!!Please handle it!!!"exit 6fielseecho "[`date +'%F %T'`] [  INFO  ] Zookeeper program is running..."|tee -a $logfileexit 0fi[root@monitor-elk ~]#

3)添加crontab定时任务

0-59/5 * * * * /usr/local/scripts/monitor_kafka.sh &> /dev/null0-59/5 * * * * /usr/local/scripts/monitor_zookeeper.sh &> /dev/null

2.客户端：

[root@test2 ~]# cat /usr/local/scripts/monitor_filebeat.sh#!/bin/bash############################################### author:Ellen# describes:Check filebeat program# version:v1.0# updated:20170407############################################### Configuration informationprogram_dir=/usr/local/elk/filebeatlogfile=/usr/local/scripts/log/monitor_filebeat.log# Check executed userif [ `whoami` != "root" ];thenecho "Please use root run script!!!"exit 1fi# Check filebeat programnum=`ps aux|grep -w $program_dir|grep -vw "grep\|vim\|vi\|mv\|cp\|scp\|cat\|dd\|tail\|head\|script\|ls\|echo\|sys_log\|logger\|tar\|rsync\|ssh"|wc -l`if [ ${num} -eq 0 ];thenecho "[`date +'%F %T'`] [CRITICAL] Filebeat program dost not start!!!"|tee -a $logfile# Send alarm information/usr/bin/cagent_tools alarm "Filebeat program dost not start!!!"echo "[`date +'%F %T'`] [  INFO  ] Begin start filebeat program..."|tee -a $logfilenohup /usr/local/elk/filebeat/filebeat -e -c /usr/local/elk/filebeat/logs.yml -d "publish" &>> /data/elk/logs/filebeat.log &if [ $? -eq 0 ];thenecho "[`date +'%F %T'`] [  INFO  ] Filebeat program start successful."|tee -a $logfile/usr/bin/cagent_tools alarm "Filebeat program start successful"exit 0elseecho "[`date +'%F %T'`] [CRITICAL] Filebeat program start failed!!!"|tee -a $logfile/usr/bin/cagent_tools alarm "Filebeat program start failed!!!Please handle it!!!"exit 6fielseecho "[`date +'%F %T'`] [  INFO  ] Filebeat program is running..."|tee -a $logfileexit 0fi[root@test2 ~]#

3)添加crontab定时任务

0-59/5 * * * * /usr/local/scripts/monitor_filebeat.sh &> /dev/null

五、注意事项

1.数据流向

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log_files -> filebeat -> kafka-> logstash -> elasticsearch -> kibana

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2.每天定时清理elasticsearch索引，只保留30天内的索引

1）编写脚本

[root@monitor-elk ~]# cat /usr/local/scripts/del_index.sh#!/bin/bash############################################### author:Ellen# describes:Delete elasticsearch history index.# version:v1.0# updated:20170407############################################### Configuration informationlogfile=/usr/local/scripts/log/del_index.logtmpfile=/tmp/index.txthost=localhostport=9200deldate=`date -d '-30days' +'%Y.%m.%d'`# Check executed userif [ `whoami` != "root" ];thenecho "Please use root run script!!!"exit 1fi# Delete elasticsearch indexcurl -s "$host:$port/_cat/indices?v"|grep -v health|awk {'print $3'}|grep "$deldate" > $tmpfileif [ ! -s $tmpfile ];thenecho "[`date +'%F %T'`] [WARNING] $tmpfile is a empty file."|tee -a $logfileexit 1fifor i in `cat /tmp/index.txt`docurl -XDELETE http://$host:$port/$iif [ $? -eq 0 ];thenecho "[`date +'%F %T'`] [  INFO  ] Elasticsearch index $i delete successful."|tee -a $logfileelseecho "[`date +'%F %T'`] [CRITICAL] Elasticsearch index $i delete failed!!!"|tee -a $logfile/usr/bin/cagent_tools alarm "Elasticsearch index $i delete failed!!!"exit 6fidone[root@monitor-elk ~]#

2）添加crontab定时任务

00 02 * * * /usr/local/scripts/del_index.sh &> /dev/null

3.按业务进行建立索引

如hongbao、pano等

4.nginx和tomcat等访问日志使用默认格式

六、相关命令参考

1.列出所有索引

curl -s 'http://localhost:9200/_cat/indices?v'

2.列出节点列表

curl 'localhost:9200/_cat/nodes?v'

3.查询集群健康信息

curl 'localhost:9200/_cat/health?v'

4.查看指定的索引数据（默认返回十条结果）

curl -XGET 'http://localhost:9200/logstash-nginx-access-2017.05.20/_search?pretty'

5.删除指定的索引

curl -XDELETE http://localhost:9200/logstash-nginx-access-2017.05.20

6.查询模板

curl -s 'http://localhost:9200/_template'