用ElasticSearch,LogStash,Kibana搭建實時日誌收集系統

時間 2019-12-01

標籤 elasticsearch logstash kibana 搭建實時日誌收集系統欄目日誌分析简体版

原文原文鏈接

用ElasticSearch,LogStash,Kibana搭建實時日誌收集系統

介紹

這套系統，logstash負責收集處理日誌文件內容存儲到elasticsearch搜索引擎數據庫中。kibana負責查詢elasticsearch並在web中展現。
logstash收集進程收穫日誌文件內容後，先輸出到redis中緩存，還有一logstash處理進程從redis中讀出並轉存到elasticsearch中，以解決讀快寫慢速度不一致問題。
官方在線文檔：https://www.elastic.co/guide/index.html

1、安裝jdk7

ElasticSearch,LogStash均是java程序。因此需要jdk環境。php

需要注意的是。多節點通信，必須保證JDK版本號一致。否則可能會致使鏈接失敗。html
下載：jdk-7u71-linux-x64.rpm
http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html java
rpm -ivh jdk-7u71-linux-x64.rpmnode

配置JDK
編輯/etc/profile文件，在開頭添加： mysql

export JAVA_HOME=/usr/java/jdk1.7.0_71
export JRE_HOME=$JAVA_HOME/jre
export CLASSPATH=$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH
export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH

檢查JDK環境
使用source /etc/profile命令。使環境變量立刻生效。
查看當前安裝的JDK版本號。命令：java -version
檢查環境變量，echo $PATHlinux

2、安裝elasticsearch

elasticsearch是一個搜索引擎。負責存儲日誌內容。web
下載安裝
wget https://download.elastic.co/elasticsearch/elasticsearch/elasticsearch-1.4.4.tar.gz
tar zxvf elasticsearch-1.4.4.tar.gzredis
改動config/elasticsearch.yml配置文件sql

bootstrap.mlockall: true

index.number_of_shards: 1 index.number_of_replicas: 0 #index.translog.flush_threshold_ops: 100000 #index.refresh_interval: -1 index.translog.flush_threshold_ops: 5000 index.refresh_interval: 1 network.bind_host: 172.16.18.114 #節點間通信公佈到其餘節點的IP地址 #假設不設置由ES本身決定它可能會發現一個地址。但是其餘節點可能訪問不了，這樣節點間通信將失敗  network.publish_host: 172.16.18.114 # Security 贊成所有http請求 http.cors.enabled: true http.cors.allow-origin: "/.*/"

改動bin/elasticsearch文件

# 使jvm使用os。max-open-files
es_parms="-Delasticsearch -Des.max-open-files=ture"

# Start up the service
# 改動OS打開最大文件數
ulimit -n 1000000
ulimit -l unlimited
launch_service "$pidfile" "$daemonized" "$properties"

改動bin/elasticsearch.in.sh文件

......

if [ "x$ES_MIN_MEM" = "x" ]; then
    ES_MIN_MEM=256m
fi
if [ "x$ES_MAX_MEM" = "x" ]; then
    ES_MAX_MEM=1g
fi
if [ "x$ES_HEAP_SIZE" != "x" ]; then
    ES_MIN_MEM=$ES_HEAP_SIZE
    ES_MAX_MEM=$ES_HEAP_SIZE
fi

#set min memory as 2g
ES_MIN_MEM=2g
#set max memory as 2g
ES_MAX_MEM=2g

......

執行
./bin/elasticsearch -d
./logs下爲日誌文件數據庫

檢查節點狀態
curl -XGET ‘http://localhost:9200/_nodes?os=true&process=true&pretty=true’

{
  "cluster_name" : "elasticsearch",
  "nodes" : {
    "7PEaZbvxToCL2O2KuMGRYQ" : {
      "name" : "Gertrude Yorkes",
      "transport_address" : "inet[/172.16.18.116:9300]",
      "host" : "casimbak",
      "ip" : "172.16.18.116",
      "version" : "1.4.4",
      "build" : "c88f77f",
      "http_address" : "inet[/172.16.18.116:9200]",
      "settings" : {
        "index": {
            "number_of_replicas": "0",
            "translog": {
                "flush_threshold_ops": "5000"
            },
            "number_of_shards": "1",
            "refresh_interval": "1"
        },      
        "path" : {
          "logs" : "/home/jfy/soft/elasticsearch-1.4.4/logs",
          "home" : "/home/jfy/soft/elasticsearch-1.4.4"
        },
        "cluster" : {
          "name" : "elasticsearch"
        },
        "bootstrap" : {
          "mlockall" : "true"
        },
        "client" : {
          "type" : "node"
        },
        "http" : {
          "cors" : {
            "enabled" : "true",
            "allow-origin" : "/.*/"
          }
        },
        "foreground" : "yes",
        "name" : "Gertrude Yorkes",
        "max-open-files" : "ture"
      },
      "process" : {
        "refresh_interval_in_millis" : 1000,
        "id" : 13896,
        "max_file_descriptors" : 1000000,
        "mlockall" : true
      },

      ...

    }
  }
}

代表ElasticSearch已執行。狀態與配置相符

"index": {
            "number_of_replicas": "0",
            "translog": {
                "flush_threshold_ops": "5000"
            },
            "number_of_shards": "1",
            "refresh_interval": "1"
        }, 

      "process" : {
        "refresh_interval_in_millis" : 1000,
        "id" : 13896,
        "max_file_descriptors" : 1000000,
        "mlockall" : true
      },

安裝head插件操做elasticsearch
elasticsearch/bin/plugin -install mobz/elasticsearch-head
http://172.16.18.116:9200/_plugin/head/
安裝marvel插件監控elasticsearch狀態
elasticsearch/bin/plugin -i elasticsearch/marvel/latest
http://172.16.18.116:9200/_plugin/marvel/

3、安裝logstash

logstash一個日誌收集處理過濾程序。
LogStash分爲日誌收集端進程和日誌處理端進程，收集端負責收集多個日誌文件實時的將日誌內容輸出到redis隊列緩存。處理端負責將redis隊列緩存中的內容輸出到ElasticSarch中存儲。
收集端進程執行在產生日誌文件的服務器上，處理端進程執行在redis,elasticsearch同一服務器上。
下載
wget https://download.elasticsearch.org/logstash/logstash/logstash-1.4.2.tar.gz
redis安裝配置
make
make PREFIX=/usr/local/redis install
要注意監控redis隊列長度，假設長時間堆集說明elasticsearch出問題了
每2S檢查一下redis中數據列表長度，100次
redis-cli -r 100 -i 2 llen logstash:redis
配置Logstash日誌收集進程
vi ./lib/logstash/config/shipper.conf

input {
    #file {
    # type => "mysql_log"
    # path => "/usr/local/mysql/data/localhost.log"
    # codec => plain{
    # charset => "GBK"
    # }
    #}
    file {
        type => "hostapd_log"
        path => "/root/hostapd/hostapd.log"
        sincedb_path => "/home/jfy/soft/logstash-1.4.2/sincedb_hostapd.access"
        #start_position => "beginning"
        #http://logstash.net/docs/1.4.2/codecs/plain
        codec => plain{
            charset => "GBK"
        }
    }
    file {
        type => "hkt_log"
        path => "/usr1/app/log/bsapp.tr"
        sincedb_path => "/home/jfy/soft/logstash-1.4.2/sincedb_hkt.access"
        start_position => "beginning"
        codec => plain{
            charset => "GBK"
        }
    }
# stdin {
# type => "hostapd_log"
# }
}

#filter {
# grep {
# match => [ "@message", "mysql|GET|error" ]
# }
#}

output {
    redis {
        host => '172.16.18.116'
        data_type => 'list'
        key => 'logstash:redis'
# codec => plain{
# charset => "UTF-8"
# }
    }
# elasticsearch {
# #embedded => true
# host => "172.16.18.116"
# }
}

執行收集端進程
./bin/logstash agent -f ./lib/logstash/config/shipper.conf

配置Logstash日誌處理進程
vi ./lib/logstash/config/indexer.conf

input {
  redis {
    host => '127.0.0.1'
    data_type => 'list'
    key => 'logstash:redis'
    #threads => 10
    #batch_count => 1000
  }
}

output {
  elasticsearch {
    #embedded => true
    host => localhost
    #workers => 10
  }
}

執行處理端進程
./bin/logstash agent -f ./lib/logstash/config/indexer.conf
處理端從redis讀出緩存的日誌內容，輸出到ElasticSarch中存儲

4、安裝kibana

kibana是elasticsearch搜索引擎的web展現界面，一套在webserver下的js腳本,可以定製複雜的查詢過濾條件檢索elasticsearch，並以多種方式（表格，圖表）展現。
下載
wget https://download.elasticsearch.org/kibana/kibana/kibana-3.1.2.tar.gz
解壓後將kibana文件夾放到webserver能訪問到的地方
配置
改動kibana/config.js:

假設kibana與elasticsearch不在同一機器則改動：
elasticsearch: "http://192.168.91.128:9200",
#這裏其實是瀏覽器直接訪問該地址鏈接elasticsearch

不然默認。必定不要改動

假設出現connection failed，則改動elasticsearch/config/elasticsearch.yml。添加：

http.cors.enabled: true 
http.cors.allow-origin: "/.*/"

詳細含義參見：
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-http.html

訪問kibana
http://172.16.18.114:6090/kibana/index.html#/dashboard/file/logstash.json
配置kibana界面可以filtering中配置需要訪問的日誌type,如_type=voip_log,相應着上面logstash中shipper.conf的type 也可以點擊右上角的save將當前界面的配置保存到elasticsearch中，默認是保存在kibana-int索引中