paulwong
          

          

          



          
	
					
	
          
		
          
			開源分布式搜索平臺ELK+Redis+Syslog-ng實現日志實時搜索
		
          
		
          logstash + elasticsearch + Kibana+Redis+Syslog-ng
          ElasticSearch是一個基于Lucene構建的開源，分布式，RESTful搜索引擎。設計用于云計算中，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是一個應用程序日志、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志進行收集管理，提供 Web 接口用于查詢和統計。其實logstash是可以被別的替換，比如常見的fluented
          Kibana是一個為 Logstash 和 ElasticSearch 提供的日志分析的 Web 接口?？墒褂盟鼘θ罩具M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.
          kibana
          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 為客戶端ip
          192.168.0.39和61.x.x.x為ELK的內網和外網ip
          安裝JDK
          http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html
          1. tar zxvf jdk-7u67-linux-x64.tar.gz\?AuthParam\=1408083909_3bf5b46169faab84d36cf74407132b
          2. mv jdk1.7.0_67 /usr/local/
          3. cd /usr/local/
          4. ln -s jdk1.7.0_67 jdk
          5. chown -R root:root jdk/
          配置環境變量
          vi /etc/profile
          1. export JAVA_HOME=/usr/local/jdk   
          2. export JRE_HOME=$JAVA_HOME/jre
          3. export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib:$CLASSPATH
          4. export PATH=$JAVA_HOME/bin:$PATH
          5. export REDIS_HOME=/usr/local/redis
          6. export ES_HOME=/usr/local/elasticsearch
          7. export ES_CLASSPATH=$ES_HOME/config
          變量生效
          source /etc/profile
          驗證版本
          java -version
          1. java version "1.7.0_67"
          2. Java(TM) SE Runtime Environment (build 1.7.0_67-b01)
          3. 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 java
          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
          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
          http://redis.io/
          1. wget http://download.redis.io/releases/redis-2.6.17.tar.gz
          2. tar zxvf redis-2.6.17.tar.gz
          3. mv redis-2.6.17 /usr/local/
          4. cd /usr/local
          5. ln -s redis-2.6.17 redis
          6. cd /usr/local/redis
          7. make
          8. make install
          cd utils
          ./install_server.sh
          1. Please select the redis port for this instance: [6379]
          2. Selecting default: 6379
          3. Please select the redis config file name [/etc/redis/6379.conf]
          4. Selected default - /etc/redis/6379.conf
          5. Please select the redis log file name [/var/log/redis_6379.log]
          6. Selected default - /var/log/redis_6379.log
          7. Please select the data directory for this instance [/var/lib/redis/6379]
          8. Selected default - /var/lib/redis/6379
          9. Please select the redis executable path [/usr/local/bin/redis-server]
          編輯配置文件
          vi /etc/redis/6379.conf
          1. daemonize yes
          2. port 6379
          3. timeout 300
          4. tcp-keepalive 60
          啟動
          /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
          加入自動啟動
          chkconfig –add redis_6379
          安裝Elasticsearch
          http://www.elasticsearch.org/
          http://www.elasticsearch.cn
          集群安裝只要節點在同一網段下，設置一致的cluster.name，啟動的Elasticsearch即可相互檢測到對方，組成集群
          1. wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-1.3.2.tar.gz
          2. tar zxvf elasticsearch-1.3.2.tar.gz
          3. mv elasticsearch-1.3.2 /usr/local/
          4. cd /usr/local/
          5. ln -s elasticsearch-1.3.2 elasticsearch
          6. elasticsearch/bin/elasticsearch -f
          1. [2014-08-20 13:19:05,710][INFO ][node                     ] [Jackpot] version[1.3.2], pid[19320], build[dee175d/2014-08-13T14:29:30Z]
          2. [2014-08-20 13:19:05,727][INFO ][node                     ] [Jackpot] initializing ...
          3. [2014-08-20 13:19:05,735][INFO ][plugins                  ] [Jackpot] loaded [], sites []
          4. [2014-08-20 13:19:10,722][INFO ][node                     ] [Jackpot] initialized
          5. [2014-08-20 13:19:10,723][INFO ][node                     ] [Jackpot] starting ...
          6. [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]}
          7. [2014-08-20 13:19:10,958][INFO ][discovery                ] [Jackpot] elasticsearch/5hUOX-2ES82s_0zvI9BUdg
          8. [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)
          9. [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]}
          10. [2014-08-20 13:19:14,061][INFO ][node                     ] [Jackpot] started
          11. [2014-08-20 13:19:14,106][INFO ][gateway                  ] [Jackpot] recovered [0] indices into cluster_state
          12.  
          13.  
          14. [2014-08-20 13:20:58,273][INFO ][node                     ] [Jackpot] stopping ...
          15. [2014-08-20 13:20:58,323][INFO ][node                     ] [Jackpot] stopped
          16. [2014-08-20 13:20:58,323][INFO ][node                     ] [Jackpot] closing ...
          17. [2014-08-20 13:20:58,332][INFO ][node                     ] [Jackpot] closed
          ctrl+c退出
          以后臺方式運行
          elasticsearch/bin/elasticsearch -d
          訪問默認的9200端口
          curl -X GET http://localhost:9200
          1. {
          2.   "status" : 200,
          3.   "name" : "Steve Rogers",
          4.   "version" : {
          5.     "number" : "1.3.2",
          6.     "build_hash" : "dee175dbe2f254f3f26992f5d7591939aaefd12f",
          7.     "build_timestamp" : "2014-08-13T14:29:30Z",
          8.     "build_snapshot" : false,
          9.     "lucene_version" : "4.9"
          10.   },
          11.   "tagline" : "You Know, for Search"
          12. }
          安裝logstash
          http://logstash.net/
          1. wget https://download.elasticsearch.org/logstash/logstash/logstash-1.4.2.tar.gz
          2. tar zxvf logstash-1.4.2.tar.gz
          3. mv logstash-1.4.2 /usr/local
          4. cd /usr/local
          5. ln -s logstash-1.4.2 logstash
          6. mkdir logstash/conf
          7. chown -R root:root logstash
          logstash
          因為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/
          1. wget https://download.elasticsearch.org/kibana/kibana/kibana-3.1.0.tar.gz
          2. tar zxvf kibana-3.1.0.tar.gz
          3. mv kibana-3.1.0 /opt/htdocs/www/kibana
          4. vi /opt/htdocs/www/kibana/config.js
          配置elasticsearch源
          elasticsearch: “http://”+window.location.hostname+”:9200″,
          加入iptables
          6379為redis端口,9200為elasticsearch端口,118.x.x.x/16為當前測試時的客戶端ip
          1. 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
          測試運行輸出到后端
          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系對照表如下
          MySQL elasticsearch
          database index
          table type
          table schema mapping
          row document
          field field
          ELK整合
          syslog-ng.conf
          1. #省略其它內容
          2.  
          3. # Remote logging syslog
          4. source s_remote {
          5.         udp(ip(192.168.0.39) port(514));
          6. };
          7.  
          8. #nginx log
          9. source s_remotetcp {
          10.         tcp(ip(192.168.0.39) port(514) log_fetch_limit(100) log_iw_size(50000) max-connections(50) );
          11. };
          12.  
          13. filter f_filter12     { program('c1gstudio\.com'); };
          14.  
          15. #logstash syslog
          16. destination d_logstash_syslog { udp("localhost" port(10999) localport(10998)  ); };
          17.  
          18. #logstash web
          19. destination d_logstash_web { tcp("localhost" port(10997) localport(10996) ); };
          20.  
          21. log { source(s_remote); destination(d_logstash_syslog); };
          22.  
          23. log { source(s_remotetcp); filter(f_filter12); destination(d_logstash_web); };
          logstash_syslog.conf
          1. input {
          2.   udp {
          3.     port => 10999
          4.     type => syslog
          5.   }
          6. }
          7. filter {
          8.   if [type] == "syslog" {
          9.     grok {
          10.       match => { "message" => "%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}" }
          11.       add_field => [ "received_at", "%{@timestamp}" ]
          12.       add_field => [ "received_from", "%{host}" ]
          13.     }
          14.     syslog_pri { }
          15.     date {
          16.       match => [ "syslog_timestamp", "MMM  d HH:mm:ss", "MMM dd HH:mm:ss" ]
          17.     }
          18.   }
          19. }
          20.  
          21. output {
          22.   elasticsearch {
          23.   host => localhost   
          24.   index => "syslog-%{+YYYY}"
          25. }
          26. }
          logstash_redis.conf
          1. input {
          2.   tcp {
          3.     port => 10997
          4.     type => web
          5.   }
          6. }
          7. filter {
          8.   grok {
          9.     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}|-)"]
          10.     remove_field => [ '@version ','host','syslog_timestamp','syslog_facility','syslog_pid']
          11.   }
          12.   date {
          13.     match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
          14.   }
          15.    useragent {
          16.         source => "agent"
          17.         prefix => "useragent_"
          18.         remove_field => [ "useragent_device", "useragent_major", "useragent_minor" ,"useragent_patch","useragent_os","useragent_os_major","useragent_os_minor"]
          19.     }
          20.    geoip {
          21.         source => "clientip"
          22.         fields => ["country_name", "region_name", "city_name", "real_region_name", "latitude", "longitude"]
          23.         remove_field => [ "[geoip][longitude]", "[geoip][latitude]","location","region_name" ]
          24.     }
          25. }
          26.  
          27. output {
          28.   #stdout { codec => rubydebug }
          29.  redis {
          30.  batch => true
          31.  batch_events => 500
          32.  batch_timeout => 5
          33.  host => "127.0.0.1"
          34.  data_type => "list"
          35.  key => "logstash:web"
          36.  workers => 2
          37.  }
          38. }
          logstash_web.conf
          1. input {
          2.   redis {
          3.     host => "127.0.0.1"
          4.     port => "6379"
          5.     key => "logstash:web"
          6.     data_type => "list"
          7.     codec  => "json"
          8.     type => "web"
          9.   }
          10. }
          11.  
          12. output {
          13.   elasticsearch {
          14.   flush_size => 5000
          15.   host => localhost
          16.   idle_flush_time => 10
          17.   index => "web-%{+YYYY.MM.dd}"
          18.   }
          19.   #stdout { codec => rubydebug }
          20. }
          啟動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，指定是在后臺或前臺運行es，并且支持啟動，停止，重啟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es
          start 在后臺運行es
          stop 停止es
          install 使es作為服務在服務器啟動時自動啟動
          remove 取消啟動時自動啟動
          vi /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
          集群健康查看
          http://61.x.x.x:9200/_cat/health?v
          epoch timestamp cluster status node.total node.data shards pri relo init unassign
          1409021531 10:52:11 elasticsearch yellow 2 1 20 20 0 0 20
          列出集群索引
          http://61.x.x.x:9200/_cat/indices?v
          health index pri rep docs.count docs.deleted store.size pri.store.size
          yellow web-2014.08.25 5 1 5990946 0 3.6gb 3.6gb
          yellow kibana-int 5 1 2 0 20.7kb 20.7kb
          yellow syslog-2014 5 1 709 0 585.6kb 585.6kb
          yellow 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’
          查看日志
          tail /usr/local/elasticsearch/logs/elasticsearch.log
          1. 2.4mb]->[2.4mb]/[273mb]}{[survivor] [3.6mb]->[34.1mb]/[34.1mb]}{[old] [79.7mb]->[80mb]/[682.6mb]}
          2. [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]}
          3. [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]}
          4. [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)
          5. [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，個人認為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。
          該插件可以查看集群的jvm信息，磁盤IO，索引創建刪除信息等，適合查找系統瓶頸，監控集群狀態等，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
          1. Downloading .........................................................................................................................................................................................................................................................DONE
          2. Installed lukas-vlcek/bigdesk into /usr/local/elasticsearch/plugins/bigdesk
          3. 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.yml
          script.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
          這里設置默認的5個shards, 復制為0，shards定義后不能修改,replicas可以動態修改
          /usr/local/elasticsearch/config/elasticsearch.yml
          index.number_of_shards: 5
          index.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，
          調大后，最小和最大一樣，避免GC, 并根據機器情況，設置內存大小，
          vi /usr/local/elasticsearch/bin/elasticsearch.in.sh
          if [ “x$ES_MIN_MEM” = “x” ]; then
          #ES_MIN_MEM=256m
          ES_MIN_MEM=2g
          fi
          if [ “x$ES_MAX_MEM” = “x” ]; then
          #ES_MAX_MEM=1g
          ES_MAX_MEM=2g
          fi
          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插入后再修改為初始值
          curl -XPUT ‘http://61.x.x.x:9200/dw-search/_settings’ -d ‘{
          “index” : {
          “refresh_interval” : “1s”
          }
          }’
          /etc/elasticsearch/elasticsearch.yml
          tranlog數據達到多少條進行平衡，默認為5000,刷新頻率，默認為120s
          index.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
          自啟動
          chkconfig add redis_6379
          vi /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 startnginx
          安裝問題
          ==========================================
          LoadError: Could not load FFI Provider: (NotImplementedError) FFI not available: null
          See http://jira.codehaus.org/browse/JRUBY-4583
          一開始我以為是沒有FFI,把jruby,ruby gem都裝了一遍.
          實際是由于我的/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
          vi /usr/local/logstash/bin/logstash.lib.sh
          JAVA_OPTS=”$JAVA_OPTS -Djava.io.tmpdir=/usr/local/jdk/tmp”
          ===============================
          jruby 安裝
          1. wget http://jruby.org.s3.amazonaws.com/downloads/1.7.13/jruby-bin-1.7.13.tar.gz
          2. mv jruby-1.7.13 /usr/local/
          3. cd /usr/local/
          4. ln -s jruby-1.7.13 jruby
          Ruby Gem 安裝
          Ruby 1.9.2版本默認已安裝Ruby Gem
          安裝gem 需要ruby的版本在 1.8.7 以上，默認的centos5 上都是1.8.5 版本，所以首先你的升級你的ruby ，
          ruby -v
          ruby 1.8.5 (2006-08-25) [x86_64-linux]
          1. wget http://cache.ruby-lang.org/pub/ruby/1.9/ruby-1.9.3-p547.tar.gz
          2. tar zxvf ruby-1.9.3-p547.tar.gz
          3. cd ruby-1.9.3-p547
          4. ./configure --prefix=/usr/local/ruby-1.9.3-p547
          5. make && make install
          6. cd /usr/local
          7. ln -s ruby-1.9.3-p547 ruby
          vi /etc/profile
          export PATH=$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_pass http://192.168.0.39:9200;
          proxy_set_header Host $host;
          proxy_set_header X-Real-IP $remote_addr;
          proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
          #proxy_set_header X-Forwarded-For $remote_addr;
          add_header X-Cache Cache-156;
          proxy_redirect off;
          }
          access_log /opt/nginx/logs/access.log access;
          }
          kibana的config.js
          elasticsearch: “http://”+window.location.hostname+”:9201″,
          
		
          
			posted on 2015-02-17 16:18 paulwong 閱讀(13998) 評論(1)  編輯  收藏  所屬分類: LOG ANALYST BIG DATA SYSTEM 、ELASTICSEARCH 
		
          
	
          
	
	





          
	    
    


          

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				# re: 開源分布式搜索平臺ELK+Redis+Syslog-ng實現日志實時搜索
					
						2015-05-04 18:14
					
				linuxlst
			
          
			
          
				博文一看就知道博主是有很多實戰經驗的資深專家了，看到友鏈不多， http://www.178linux.com 希望和博主互做友鏈,感興趣可以聯系站點管理員  回復  更多評論
				  
				
			
          
		

          

          




          








          

				

          



    







          
        
	




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