logstash + elasticsearch + Kibana+Redis+Syslog-ng

ElasticSearch是一个基于Lucene构建的开源，分布式，RESTful搜索引擎。设计用于云计算中，能够达到实时搜索，稳定，可靠，快速，安装使用方便。支持通过HTTP使用JSON进行数据索引。

logstash是一个应用程序日志、事件的传输、处理、管理和搜索的平台。你可以用它来统一对应用程序日志进行收集管理，提供 Web 接口用于查询和统计。其实logstash是可以被别的替换，比如常见的fluented

Kibana是一个为 Logstash 和 ElasticSearch 提供的日志分析的 Web 接口。可使用它对日志进行高效的搜索、可视化、分析等各种操作。

Redis是一个高性能的内存key-value数据库,非必需安装,可以防止数据丢失. 参考: 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说明 118.x.x.x/16 为客户端ip 192.168.0.39和61.x.x.x为ELK的内网和外网ip

安装JDK

http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html

tar zxvf jdk-7u67-linux-x64.tar.gz\?AuthParam\=1408083909_3bf5b46169faab84d36cf74407132b mv jdk1.7.0_67 /usr/local/ cd /usr/local/ ln -s jdk1.7.0_67 jdk chown -R root:root jdk/

配置环境变量 vi /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

变量生效 source /etc/profile

验证版本 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)

如果之前安装过java,可以先卸载 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

安装redis

http://redis.io/

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]

编辑配置文件 vi /etc/redis/6379.conf

daemonize yes port 6379 timeout 300 tcp-keepalive 60

启动 /etc/init.d/redis_6379 start

exists, process is already running or crashed 如报这个错,需要编辑下/etc/init.d/redis_6379,去除头上的

加入自动启动 chkconfig –add redis_6379

安装Elasticsearch

http://www.elasticsearch.org/ http://www.elasticsearch.cn 集群安装只要节点在同一网段下，设置一致的cluster.name，启动的Elasticsearch即可相互检测到对方，组成集群

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

以后台方式运行 elasticsearch/bin/elasticsearch -d

访问默认的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” }

安装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

因为java的默认heap size,回收机制等原因,logstash从1.4.0开始不再使用jar运行方式. 以前方式: java -jar logstash-1.3.3-flatjar.jar agent -f logstash.conf 现在方式: bin/logstash agent -f logstash.conf

logstash下载即可使用，命令行参数可以参考logstash flags，主要有 http://logstash.net/docs/1.2.1/flags

安装kibana

logstash的最新版已经内置kibana，你也可以单独部署kibana。kibana3是纯粹JavaScript+html的客户端，所以可以部署到任意http服务器上。 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 vi /opt/htdocs/www/kibana/config.js

配置elasticsearch源 elasticsearch: “http://”+window.location.hostname+”:9200“,

加入iptables 6379为redis端口,9200为elasticsearch端口,118.x.x.x/16为当前测试时的客户端ip

iptables -A INPUT -p tcp -m tcp -s 118.x.x.x/16 –dport 9200 –j ACCEPT

测试运行前端输出 bin/logstash -e ‘input { stdin { } } output { stdout {} }’

输入hello测试 2014-08-20T05:17:02.876+0000 Impala hello

测试运行输出到后端 bin/logstash -e ‘input { stdin { } } output { elasticsearch { host => localhost } }’

访问kibana http://big.c1gstudio.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

设置kibana读取源 在kibana的右上角有个 configure dashboard,再进入Index Settings [logstash-]YYYY.MM.DD 这个需和logstash的输出保持一致

elasticsearch 跟 MySQL 中定义资料格式的角色关系对照表如下

MySQL elasticsearch database index table type

table schema mapping row document field field

ELK整合

syslog-ng.conf

#省略其它内容 # 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 } }

启动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 &

关闭 ps aux|egrep ‘search|logstash’ kill pid

安装控制器elasticsearch-servicewrapper 如果是在服务器上就可以使用elasticsearch-servicewrapper这个es插件，它支持通过参数，指定是在后台或前台运行es，并且支持启动，停止，重启es服务（默认es脚本只能通过ctrl+c关闭es）。使用方法是到https://github.com/elasticsearch/elasticsearch-servicewrapper下载service文件夹，放到es的bin目录下。下面是命令集合： bin/service/elasticsearch + console 在前台运行es start 在后台运行es stop 停止es install 使es作为服务在服务器启动时自动启动 remove 取消启动时自动启动

vi /usr/local/elasticsearch/service/elasticsearch.conf set.default.ES_HOME=/usr/local/elasticsearch

命令示例

查看状态 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

删除索引 curl -XDELETE ‘http://localhost:9200/kibana-int/‘ curl -XDELETE ‘http://localhost:9200/logstash-2014.08.*’

优化索引 $ curl -XPOST ‘http://localhost:9200/old-index-name/_optimize‘

查看日志 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]}

安装bigdesk 要想知道整个插件的列表，请访问http://www.elasticsearch.org/guide/reference/modules/plugins/ 插件还是很多的，个人认为比较值得关注的有以下几个，其他的看你需求，比如你要导入数据当然就得关注river了。

该插件可以查看集群的jvm信息，磁盘IO，索引创建删除信息等，适合查找系统瓶颈，监控集群状态等，可以执行如下命令进行安装，或者访问项目地址: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

访问 http://localhost/bigdesk

安全优化

1.安全漏洞,影响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.如果有多台机器，可以以每台设置n个shards的方式，根据业务情况，可以考虑取消replias 这里设置默认的5个shards, 复制为0，shards定义后不能修改,replicas可以动态修改 /usr/local/elasticsearch/config/elasticsearch.yml index.number_of_shards: 5 index.number_of_replicas: 0

#定义数据目录(可选) path.data: /opt/elasticsearch

3.内存适当调大，初始是-Xms256M, 最大-Xmx1G,-Xss256k， 调大后，最小和最大一样，避免GC, 并根据机器情况，设置内存大小， 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.减少shard刷新间隔 curl -XPUT ‘http://61.x.x.x:9200/dw-search/_settings‘ -d ‘{ “index” : { “refresh_interval” : “-1” } }’

完成bulk插入后再修改为初始值 curl -XPUT ‘http://61.x.x.x:9200/dw-search/_settings‘ -d ‘{ “index” : { “refresh_interval” : “1s” } }’

/etc/elasticsearch/elasticsearch.yml tranlog数据达到多少条进行平衡，默认为5000,刷新频率，默认为120s index.translog.flush_threshold_ops: “100000” index.refresh_interval: 60s

5.关闭文件的更新时间

/etc/fstab

在文件中添加 noatime,nodiratime /dev/sdc1 /data1 ext4 noatime,nodiratime 0 0

自启动 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

安装问题

========================================== LoadError: Could not load FFI Provider: (NotImplementedError) FFI not available: null See http://jira.codehaus.org/browse/JRUBY-4583

一开始我以为是没有FFI,把jruby,ruby gem都装了一遍. 实际是由于我的/tmp没有运行权限造成的,建个tmp目录就可以了,附上ruby安装步骤.

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 安装

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 安装 Ruby 1.9.2版本默认已安装Ruby Gem 安装gem 需要ruby的版本在 1.8.7 以上，默认的centos5 上都是1.8.5 版本，所以首先你的升级你的ruby ，

ruby -v ruby 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

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 绑定内网ip

iptables 只开放内网

前端机反向代理 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“,