用ElasticSearch,LogStash,Kibana搭建实时日志收集系统
用ElasticSearch,LogStash,Kibana搭建实时日志收集系统介绍
[*]这套系统，logstash负责收集处理日志文件内容存储到elasticsearch搜索引擎数据库中。kibana负责查询elasticsearch并在web中展示。
[*]logstash收集进程收获日志文件内容后，先输出到redis中缓存，另一logstash处理进程从redis中读出并转存到elasticsearch中，以解决读快写慢速度不一致问题。
[*]官方在线文档：https://www.elastic.co/guide/index.html
一、安装jdk7
[*] ElasticSearch,LogStash均是java程序，所以需要jdk环境。
需要注意的是，多节点通讯，必须保证JDK版本一致，不然可能会导致连接失败。
[*] 下载：jdk-7u71-linux-x64.rpm
http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html
[*] rpm -ivh jdk-7u71-linux-x64.rpm
[*] 配置JDK
编辑/etc/profile文件，在开头加入：
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
[*] 检查JDK环境
使用source /etc/profile命令，使环境变量立即生效。
查看当前安装的JDK版本，命令：java -version
检查环境变量，echo $PATH
二、安装elasticsearch
[*] elasticsearch是一个搜索引擎，负责存储日志内容。
[*] 下载安装
wget https://download.elastic.co/elasticsearch/elasticsearch/elasticsearch-1.4.4.tar.gz
tar zxvf elasticsearch-1.4.4.tar.gz
[*] 修改config/elasticsearch.yml配置文件
bootstrap.mlockall: true
index.number_of_shards: 1
index.number_of_replicas: 0
#index.translog.flush_threshold_ops: 100000
#index.refresh_interval: -1
index.translog.flush_threshold_ops: 5000
index.refresh_interval: 1
network.bind_host: 172.16.18.114
#节点间通讯发布到其它节点的IP地址
#如果不设置由ES自己决定它可能会发现一个地址，但是其它节点可能访问不了，这样节点间通讯将失败
network.publish_host: 172.16.18.114
# Security 允许所有http请求
http.cors.enabled: true
http.cors.allow-origin: "/.*/"
[*]修改bin/elasticsearch文件
# 使jvm使用os，max-open-files
es_parms="-Delasticsearch -Des.max-open-files=ture"
# Start up the service
# 修改OS打开最大文件数
ulimit -n 1000000
ulimit -l unlimited
launch_service "$pidfile" "$daemonized" "$properties"
[*]修改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
......
[*] 运行
./bin/elasticsearch -d
./logs下为日志文件
[*] 检查节点状态
curl -XGET ‘http://localhost:9200/_nodes?os=true&process=true&pretty=true’
{
"cluster_name" : "elasticsearch",
"nodes" : {
"7PEaZbvxToCL2O2KuMGRYQ" : {
"name" : "Gertrude Yorkes",
"transport_address" : "inet",
"host" : "casimbak",
"ip" : "172.16.18.116",
"version" : "1.4.4",
"build" : "c88f77f",
"http_address" : "inet",
"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
},
...
}
}
}
[*] 表明ElasticSearch已运行，状态与配置相符
"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
},
[*] 安装head插件操作elasticsearch
elasticsearch/bin/plugin -install mobz/elasticsearch-head
http://172.16.18.116:9200/_plugin/head/
[*] 安装marvel插件监控elasticsearch状态
elasticsearch/bin/plugin -i elasticsearch/marvel/latest
http://172.16.18.116:9200/_plugin/marvel/
三、安装logstash
[*] logstash一个日志收集处理过滤程序。
[*] LogStash分为日志收集端进程和日志处理端进程，收集端负责收集多个日志文件实时的将日志内容输出到redis队列缓存，处理端负责将redis队列缓存中的内容输出到ElasticSarch中存储。收集端进程运行在产生日志文件的服务器上，处理端进程运行在redis,elasticsearch同一服务器上。
[*] 下载
wget https://download.elasticsearch.org/logstash/logstash/logstash-1.4.2.tar.gz
[*] redis安装配置略，但要注意监控redis队列长度，如果长时间堆集说明elasticsearch出问题了
每2S检查一下redis中数据列表长度，100次
redis-cli -r 100 -i 2 llen logstash:redis
[*] 配置Logstash日志收集进程
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"
# }
}
[*] 运行收集端进程
./bin/logstash agent -f ./lib/logstash/config/shipper.conf
[*] 配置Logstash日志处理进程
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
}
}
[*] 运行处理端进程
./bin/logstash agent -f ./lib/logstash/config/indexer.conf
处理端从redis读出缓存的日志内容，输出到ElasticSarch中存储
四、安装kibana
[*] kibana是elasticsearch搜索引擎的web展示界面，一套在webserver下的js脚本,可以定制复杂的查询过滤条件检索elasticsearch，并以多种方式（表格，图表）展示。
[*] 下载
wget https://download.elasticsearch.org/kibana/kibana/kibana-3.1.2.tar.gz
解压后将kibana目录放到webserver能访问到的地方
[*] 配置
修改kibana/config.js:
如果kibana与elasticsearch不在同一机器则修改：
elasticsearch: "http://192.168.91.128:9200",
#这里实际上是浏览器直接访问该地址连接elasticsearch
否则默认，一定不要修改
如果出现connection failed，则修改elasticsearch/config/elasticsearch.yml，增加：
http.cors.enabled: true
http.cors.allow-origin: "/.*/"
具体含义参见：
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-http.html
[*] 访问kibana
http://172.16.18.114:6090/kibana/index.html#/dashboard/file/logstash.json
[*] 配置kibana界面
可以filtering中配置需要访问的日志type,如_type=voip_log,对应着上面logstash中shipper.conf的type
也可以点击右上角的save将当前界面的配置保存到elasticsearch中，默认是保存在kibana-int索引中
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