ElasticSearch是一個基於Lucene構建的開源，分佈式，RESTful搜索引擎。設計用於雲計算中，能夠達到實時搜索，穩定，可靠，快速，安裝使用方便。支持通過HTTP使用JSON進行數據索引。
logstash是一個應用程序日誌、事件的傳輸、處理、管理和搜索的平臺。你可以用它來統一對應用程序日誌進行收集管理，提供 Web 接口用於查詢和統計。其實logstash是可以被別的替換，比如常見的fluented
Kibana是一個爲 Logstash 和 ElasticSearch 提供的日誌分析的 Web 接口。可使用它對日誌進行高效的搜索、可視化、分析等各種操作。
Redis是一個高性能的內存key-value數據庫,非必需安裝,可以防止數據丟失.
參考::
http://www.logstash.net/
http://chenlinux.com/2012/10/21/elasticearch-simple-usage/
http://www.elasticsearch.cn
http://download.oracle.com/otn-pub/java/jdk/7u67-b01/jdk-7u67-linux-x64.tar.gz?AuthParam=1408083909_3bf5b46169faab84d36cf74407132bba
http://curran.blog.51cto.com/2788306/1263416
http://storysky.blog.51cto.com/628458/1158707/
http://zhumeng8337797.blog.163.com/blog/static/10076891420142712316899/
http://enable.blog.51cto.com/747951/1049411
http://chenlinux.com/2014/06/11/nginx-access-log-to-elasticsearch/
http://www.w3c.com.cn/%E5%BC%80%E6%BA%90%E5%88%86%E5%B8%83%E5%BC%8F%E6%90%9C%E7%B4%A2%E5%B9%B3%E5%8F%B0elkelasticsearchlogstashkibana%E5%85%A5%E9%97%A8%E5%AD%A6%E4%B9%A0%E8%B5%84%E6%BA%90%E7%B4%A2%E5%BC%95
http://woodygsd.blogspot.com/2014/06/an-adventure-with-elk-or-how-to-replace.html
http://www.ricardomartins.com.br/enviando-dados-externos-para-a-stack-elk/
http://tinytub.github.io/logstash-install.html
http://jamesmcfadden.co.uk/securing-elasticsearch-with-nginx/
https://github.com/elasticsearch/logstash/blob/master/patterns/grok-patterns
http://zhaoyanblog.com/archives/319.html
http://www.vpsee.com/2014/05/install-and-play-with-elasticsearch/
IP說明：
118.x.x.x/16 爲客戶端ip
192.168.0.39和61.x.x.x爲ELK的內網和外網ip
安裝JDK
#https://www.reucon.com/cdn/java/jdk-7u67-linux-x64.tar.gz
#tar zxvf jdk-7u67-linux-x64.tar.gz
#mv jdk1.7.0_67 /usr/local/
#cd /usr/local/
#ln -s jdk1.7.0_67 jdk
#chown -R root:root jdk/
配置環境變量
vim /etc/profile
export JAVA_HOME=/usr/local/jdk
export JRE_HOME=$JAVA_HOME/jre
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib:$CLASSPATH
export PATH=$JAVA_HOME/bin:$PATH
export REDIS_HOME=/usr/local/redis
export ES_HOME=/usr/local/elasticsearch
export ES_CLASSPATH=$ES_HOME/config
變量生效：
source /etc/profile
驗證版本:
#java -version
java version "1.7.0_67"
Java(TM) SE Runtime Environment (build 1.7.0_67-b01)
Java HotSpot(TM) 64-Bit Server VM (build 24.65-b04, mixed mode)
#如果之前安裝過java，可以先卸載
#rpm -qa |grep javajava-1.6.0-openjdk-1.6.0.0-1.24.1.10.4.el5java-1.6.0-openjdk-devel-1.6.0.0-1.24.1.10.4.el5
#rpm -e java-1.6.0-openjdk-1.6.0.0-1.24.1.10.4.el5 java-1.6.0-openjdk-devel-1.6.0.0-1.24.1.10.4.el5
安裝redis
#wget http://download.redis.io/releases/redis-2.6.17.tar.gz
#tar zxvf redis-2.6.17.tar.gz
#mv redis-2.6.17 /usr/local/
#cd /usr/local
#ln -s redis-2.6.17 redis
#cd /usr/local/redis
#make
#make install
#cd utils
#./install_server.sh
Please select the redis port for this instance: [6379]
Selecting default: 6379
Please select the redis config file name [/etc/redis/6379.conf]
Selected default - /etc/redis/6379.conf
Please select the redis log file name [/var/log/redis_6379.log]
Selected default - /var/log/redis_6379.log
Please select the data directory for this instance [/var/lib/redis/6379]
Selected default - /var/lib/redis/6379
Please select the redis executable path [/usr/local/bin/redis-server]
編輯配置文件
vim /etc/redis/6379.conf
daemonize yes
port 6379
timeout 300
tcp-keepalive 60
啓動
/etc/init.d/redis_6379 start
exists, process is already running or crashed
如報這個錯,需要編輯下/etc/init.d/redis_6379,去除頭上的\n
加入自動啓動chkconfig –add redis_6379
安裝Elasticsearch
http://www.elasticsearch.org/
http://www.elasticsearch.cn
集羣安裝只要節點在同一網段下，設置一致的cluster.name，啓動的Elasticsearch即可相互檢測到對方，組成集羣
#wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-1.3.2.tar.gz
#tar zxvf elasticsearch-1.3.2.tar.gz
#mv elasticsearch-1.3.2 /usr/local/
#cd /usr/local/
#ln -s elasticsearch-1.3.2 elasticsearch
#elasticsearch/bin/elasticsearch -f
[2014-08-20 13:19:05,710][INFO ][node ] [Jackpot] version[1.3.2], pid[19320], build[dee175d/2014-08-13T14:29:30Z]
[2014-08-20 13:19:05,727][INFO ][node ] [Jackpot] initializing ...
[2014-08-20 13:19:05,735][INFO ][plugins ] [Jackpot] loaded [], sites []
[2014-08-20 13:19:10,722][INFO ][node ] [Jackpot] initialized
[2014-08-20 13:19:10,723][INFO ][node ] [Jackpot] starting ...
[2014-08-20 13:19:10,934][INFO ][transport ] [Jackpot] bound_address {inet[/0.0.0.0:9301]}, publish_address {inet[/61.x.x.x:9301]}
[2014-08-20 13:19:10,958][INFO ][discovery ] [Jackpot] elasticsearch/5hUOX-2ES82s_0zvI9BUdg
[2014-08-20 13:19:14,011][INFO ][cluster.service ] [Jackpot] new_master [Jackpot][5hUOX-2ES82s_0zvI9BUdg][Impala][inet[/61.x.x.x:9301]], reason: zen-disco-join (elected_as_master)
[2014-08-20 13:19:14,060][INFO ][http ] [Jackpot] bound_address {inet[/0.0.0.0:9201]}, publish_address {inet[/61.x.x.x:9201]}
[2014-08-20 13:19:14,061][INFO ][node ] [Jackpot] started
[2014-08-20 13:19:14,106][INFO ][gateway ] [Jackpot] recovered [0] indices into cluster_state
[2014-08-20 13:20:58,273][INFO ][node ] [Jackpot] stopping ...
[2014-08-20 13:20:58,323][INFO ][node ] [Jackpot] stopped
[2014-08-20 13:20:58,323][INFO ][node ] [Jackpot] closing ...
[2014-08-20 13:20:58,332][INFO ][node ] [Jackpot] closed
ctrl+c退出
以後臺方式運行
elasticsearch/bin/elasticsearch -d
訪問默認的9200端口
curl -X GET http://localhost:9200
{
"status" : 200,
"name" : "Steve Rogers",
"version" : {
"number" : "1.3.2",
"build_hash" : "dee175dbe2f254f3f26992f5d7591939aaefd12f",
"build_timestamp" : "2014-08-13T14:29:30Z",
"build_snapshot" : false,
"lucene_version" : "4.9"
},
"tagline" : "You Know, for Search"
}
安裝logstash
http://logstash.net/
#wget https://download.elasticsearch.org/logstash/logstash/logstash-1.4.2.tar.gz
#tar zxvf logstash-1.4.2.tar.gz
#mv logstash-1.4.2 /usr/local
#cd /usr/local
#ln -s logstash-1.4.2 logstash
#mkdir logstash/conf
#chown -R root:root logstash
#因爲java的默認heap size,回收機制等原因,logstash從1.4.0開始不再使用jar運行方式.
#以前方式:java -jar logstash-1.3.3-flatjar.jar agent -f logstash.conf
#現在方式:bin/logstash agent -f logstash.conf
#logstash下載即可使用，命令行參數可以參考logstash flags，主要有http://logstash.net/docs/1.2.1/flags
安裝kibana
logstash的最新版已經內置kibana，你也可以單獨部署kibana。kibana3是純粹JavaScript+html的客戶端，所以可以部署到任意http服務器上。
http://www.elasticsearch.org/overview/elkdownloads/
#wget https://download.elasticsearch.org/kibana/kibana/kibana-3.1.0.tar.gz
#tar zxvf kibana-3.1.0.tar.gz
#mv kibana-3.1.0 /opt/htdocs/www/kibana
#vim /opt/htdocs/www/kibana/config.js
配置elasticsearch源
elasticsearch: “http://”+window.location.hostname+”:9200″,
加入iptables
6379爲redis端口,9200爲elasticsearch端口,118.x.x.x/16爲當前測試時的客戶端ip
iptables -A INPUT -p tcp -m tcp -s 118.x.x.x/16 --dport 9200 --j ACCEPT
測試運行前端輸出
bin/logstash -e ‘input { stdin { } } output { stdout {} }’
輸入hello測試
2014-08-20T05:17:02.876+0000 Impala hello
測試運行輸出到後端
bin/logstash -e ‘input { stdin { } } output { elasticsearch { host => localhost } }’
訪問kibana
http://adminimpala.campusapply.com/kibana/index.html#/dashboard/file/default.json
Yes- Great! We have a prebuilt dashboard: (Logstash Dashboard).
See the note to the right about making it your global default
No results There were no results because no indices were found that match your selected time span
設置kibana讀取源
在kibana的右上角有個 configure dashboard,再進入Index Settings
[logstash-]YYYY.MM.DD
這個需和logstash的輸出保持一致
elasticsearch 跟 MySQL 中定義資料格式的角色關係對照表如下
MySQL elasticsearchdatabase indextable type
table schema mappingrow documentfield field
ELK整合
syslog-ng.conf
#省略其它內容
# Remote logging syslog
source s_remote {
udp(ip(192.168.0.39) port(514));
};
#nginx log
source s_remotetcp {
tcp(ip(192.168.0.39) port(514) log_fetch_limit(100) log_iw_size(50000) max-connections(50) );
};
filter f_filter12 { program('c1gstudio\.com'); };
#logstash syslog
destination d_logstash_syslog { udp("localhost" port(10999) localport(10998) ); };
#logstash web
destination d_logstash_web { tcp("localhost" port(10997) localport(10996) ); };
log { source(s_remote); destination(d_logstash_syslog); };
log { source(s_remotetcp); filter(f_filter12); destination(d_logstash_web); };
logstash_syslog.conf
input {
udp {
port => 10999
type => syslog
}
}
filter {
if [type] == "syslog" {
grok {
match => { "message" => "%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}" }
add_field => [ "received_at", "%{@timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
syslog_pri { }
date {
match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
}
}
}
output {
elasticsearch {
host => localhost
index => "syslog-%{+YYYY}"
}
}
logstash_redis.conf
input {
tcp {
port => 10997
type => web
}
}
filter {
grok {
match => [ "message", "%{SYSLOGTIMESTAMP:syslog_timestamp} (?:%{SYSLOGFACILITY:syslog_facility} )?%{SYSLOGHOST:syslog_source} %{PROG:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{IPORHOST:clientip} - (?:%{USER:remote_user}|-) \[%{HTTPDATE:timestamp}\] \"%{WORD:method} %{URIPATHPARAM:request} HTTP/%{NUMBER:httpversion}\" %{NUMBER:status} (?:%{NUMBER:body_bytes_sent}|-) \"(?:%{URI:http_referer}|-)\" %{QS:agent} (?:%{IPV4:http_x_forwarded_for}|-)"]
remove_field => [ '@version ','host','syslog_timestamp','syslog_facility','syslog_pid']
}
date {
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
}
useragent {
source => "agent"
prefix => "useragent_"
remove_field => [ "useragent_device", "useragent_major", "useragent_minor" ,"useragent_patch","useragent_os","useragent_os_major","useragent_os_minor"]
}
geoip {
source => "clientip"
fields => ["country_name", "region_name", "city_name", "real_region_name", "latitude", "longitude"]
remove_field => [ "[geoip][longitude]", "[geoip][latitude]","location","region_name" ]
}
}
output {
#stdout { codec => rubydebug }
redis {
batch => true
batch_events => 500
batch_timeout => 5
host => "127.0.0.1"
data_type => "list"
key => "logstash:web"
workers => 2
}
}
logstash_web.conf
input {
redis {
host => "127.0.0.1"
port => "6379"
key => "logstash:web"
data_type => "list"
codec => "json"
type => "web"
}
}
output {
elasticsearch {
flush_size => 5000
host => localhost
idle_flush_time => 10
index => "web-%{+YYYY.MM.dd}"
}
#stdout { codec => rubydebug }
}
啓動elasticsearch和logstash
/usr/local/elasticsearch/bin/elasticsearch -d
/usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_syslog.conf &
/usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_redis.conf &
/usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_web.conf &
關閉
ps aux|egrep ‘search|logstash’
kill pid
安裝控制器elasticsearch-servicewrapper
如果是在服務器上就可以使用elasticsearch-servicewrapper這個es插件，它支持通過參數，指定是在後臺或前臺運行es，並且支持啓動，停止，重啓es服務（默認es腳本只能通過ctrl+c關閉es）。
使用方法是到https://github.com/elasticsearch/elasticsearch-servicewrapper下載service文件夾，放到es的bin目錄下。下面是命令集合：
bin/service/elasticsearch +console
在前臺運行esstart 在後臺運行esstop 停止esinstall 使es作爲服務在服務器啓動時自動啓動remove 取消啓動時自動啓動
vim /usr/local/elasticsearch/service/elasticsearch.conf
set.default.ES_HOME=/usr/local/elasticsearch
命令示例
查看狀態
http://61.x.x.x:9200/_status?pretty=true
集羣健康查看
http://61.x.x.x:9200/_cat/health?v
epoch timestamp cluster status node.total node.data shards pri relo init unassign1409021531 10:52:11 elasticsearch yellow 2 1 20 20 0 0 20
列出集羣索引
http://61.x.x.x:9200/_cat/indices?v
health index pri rep docs.count docs.deleted store.size pri.store.sizeyellow web-2014.08.25 5 1 5990946 0 3.6gb 3.6gbyellow kibana-int 5 1 2 0 20.7kb 20.7kbyellow syslog-2014 5 1 709 0 585.6kb 585.6kbyellow web-2014.08.26 5 1 1060326 0 712mb 712mb
刪除索引
curl -XDELETE ‘http://localhost:9200/kibana-int/’
curl -XDELETE ‘http://localhost:9200/logstash-2014.08.*’
優化索引
$ curl -XPOST ‘http://localhost:9200/old-index-name/_optimize’
查看日誌
tail /usr/local/elasticsearch/logs/elasticsearch.log
2.4mb]->[2.4mb]/[273mb]}{[survivor] [3.6mb]->[34.1mb]/[34.1mb]}{[old] [79.7mb]->[80mb]/[682.6mb]}
[2014-08-26 10:37:14,953][WARN ][monitor.jvm ] [Red Shift] [gc][young][71044][54078] duration [43s], collections [1]/[46.1s], total [43s]/[26.5m], memory [384.7mb]->[123mb]/[989.8mb], all_pools {[young] [270.5mb]->[1.3mb]/[273mb]}{[survivor] [34.1mb]->[22.3mb]/[34.1mb]}{[old] [80mb]->[99.4mb]/[682.6mb]}
[2014-08-26 10:38:03,619][WARN ][monitor.jvm ] [Red Shift] [gc][young][71082][54080] duration [6.6s], collections [1]/[9.1s], total [6.6s]/[26.6m], memory [345.4mb]->[142.1mb]/[989.8mb], all_pools {[young] [224.2mb]->[2.8mb]/[273mb]}{[survivor] [21.8mb]->[34.1mb]/[34.1mb]}{[old] [99.4mb]->[105.1mb]/[682.6mb]}
[2014-08-26 10:38:10,109][INFO ][cluster.service ] [Red Shift] removed {[logstash-Impala-26670-2010][av8JOuEoR_iK7ZO0UaltqQ][Impala][inet[/61.x.x.x:9302]]{client=true, data=false},}, reason: zen-disco-node_failed([logstash-Impala-26670-2010][av8JOuEoR_iK7ZO0UaltqQ][Impala][inet[/61.x.x.x:9302]]{client=true, data=false}), reason transport disconnected (with verified connect)
[2014-08-26 10:39:37,899][WARN ][monitor.jvm ] [Red Shift] [gc][young][71171][54081] duration [3.4s], collections [1]/[4s], total [3.4s]/[26.6m], memory [411.7mb]->[139.5mb]/[989.8mb], all_pools {[young] [272.4mb]->[1.5mb]/[273mb]}{[survivor] [34.1mb]->[29.1mb]/[34.1mb]}{[old] [105.1mb]->[109mb]/[682.6mb]}
安裝bigdesk
要想知道整個插件的列表，請訪問http://www.elasticsearch.org/guide/reference/modules/plugins/ 插件還是很多的，個人認爲比較值得關注的有以下幾個，其他的看你需求，比如你要導入數據當然就得關注river了。
該插件可以查看集羣的jvm信息，磁盤IO，索引創建刪除信息等，適合查找系統瓶頸，監控集羣狀態等，可以執行如下命令進行安裝，或者訪問項目地址:https://github.com/lukas-vlcek/bigdesk
bin/plugin -install lukas-vlcek/bigdesk
Downloading .........................................................................................................................................................................................................................................................DONE
Installed lukas-vlcek/bigdesk into /usr/local/elasticsearch/plugins/bigdesk
Identified as a _site plugin, moving to _site structure ...
cp -ar plugins/bigdesk/_site/ /opt/htdocs/www/bigdesk
訪問
http://localhost/bigdesk
安全優化
1.安全漏洞,影響ElasticSearch 1.2及以下版本 http://bouk.co/blog/elasticsearch-rce//usr/local/elasticsearch/config/elasticsearch.ymlscript.disable_dynamic: true
2.如果有多臺機器，可以以每臺設置n個shards的方式，根據業務情況，可以考慮取消replias這裏設置默認的5個shards, 複製爲0，shards定義後不能修改,replicas可以動態修改/usr/local/elasticsearch/config/elasticsearch.ymlindex.number_of_shards: 5index.number_of_replicas: 0
#定義數據目錄(可選)path.data: /opt/elasticsearch
3.內存適當調大，初始是-Xms256M, 最大-Xmx1G,-Xss256k，調大後，最小和最大一樣，避免GC, 並根據機器情況，設置內存大小，vi /usr/local/elasticsearch/bin/elasticsearch.in.shif [ “x$ES_MIN_MEM” = “x” ]; then#ES_MIN_MEM=256mES_MIN_MEM=2gfiif [ “x$ES_MAX_MEM” = “x” ]; then#ES_MAX_MEM=1gES_MAX_MEM=2gfi
4.減少shard刷新間隔curl -XPUT ‘http://61.x.x.x:9200/dw-search/_settings’ -d ‘{“index” : {“refresh_interval” : “-1″}}’
完成bulk插入後再修改爲初始值curl -XPUT ‘http://61.x.x.x:9200/dw-search/_settings’ -d ‘{“index” : {“refresh_interval” : “1s”}}’
/etc/elasticsearch/elasticsearch.ymltranlog數據達到多少條進行平衡，默認爲5000,刷新頻率，默認爲120sindex.translog.flush_threshold_ops: “100000”index.refresh_interval: 60s
5.關閉文件的更新時間
/etc/fstab
在文件中添加 noatime,nodiratime/dev/sdc1 /data1 ext4 noatime,nodiratime 0 0
自啓動chkconfig add redis_6379
vim /etc/rc.local
/usr/local/elasticsearch/bin/elasticsearch -d
/usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_syslog.conf &
/usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_redis.conf &
/usr/local/logstash/bin/logstash agent -f /usr/local/logstash/conf/logstash_web.conf &
/opt/lemp start nginx
安裝問題
==========================================
LoadError: Could not load FFI Provider: (NotImplementedError) FFI not available: nullSee http://jira.codehaus.org/browse/JRUBY-4583
一開始我以爲是沒有FFI,把jruby,ruby gem都裝了一遍.實際是由於我的/tmp沒有運行權限造成的,建個tmp目錄就可以了,附上ruby安裝步驟.
mkdir /usr/local/jdk/tmp
vim /usr/local/logstash/bin/logstash.lib.sh
JAVA_OPTS=”$JAVA_OPTS -Djava.io.tmpdir=/usr/local/jdk/tmp”
===============================
jruby 安裝
wget http://jruby.org.s3.amazonaws.com/downloads/1.7.13/jruby-bin-1.7.13.tar.gz
mv jruby-1.7.13 /usr/local/
cd /usr/local/
ln -s jruby-1.7.13 jruby
Ruby Gem 安裝Ruby 1.9.2版本默認已安裝Ruby Gem安裝gem 需要ruby的版本在 1.8.7 以上，默認的centos5 上都是1.8.5 版本，所以首先你的升級你的ruby ，
ruby -vruby 1.8.5 (2006-08-25) [x86_64-linux]
wget http://cache.ruby-lang.org/pub/ruby/1.9/ruby-1.9.3-p547.tar.gz
tar zxvf ruby-1.9.3-p547.tar.gz
cd ruby-1.9.3-p547
./configure --prefix=/usr/local/ruby-1.9.3-p547
make && make install
cd /usr/local
ln -s ruby-1.9.3-p547 ruby
vim /etc/profile
export PATH=$JAVA_HOME/bin:/usr/local/ruby/bin:$PATH
source /etc/profile
gem install bundler
gem install i18n
gem install ffi
=======================
elasticsearch 端口安全
綁定內網ip
iptables 只開放內網
前端機反向代理
server
{
listen 9201;
server_name big.c1gstudio.com;
index index.html index.htm index.php;
root /opt/htdocs/www;
include manageip.conf;
deny all;
location / {
proxy_passhttp://192.168.0.39:9200;
proxy_set_headerHost$host;
proxy_set_headerX-Real-IP$remote_addr;
proxy_set_headerX-Forwarded-For$proxy_add_x_forwarded_for;
#proxy_set_headerX-Forwarded-For$remote_addr;
add_headerX-Cache Cache-156;
proxy_redirect off;
}
access_log /opt/nginx/logs/access.log access;
}
kibana的config.js
elasticsearch: “http://”+window.location.hostname+”:9201″,