安装部署
下面列一下一个简易LEK体验环境的搭建步骤
安装jdk 1.7
oracle java主页
省略安装过程，推荐1.7+版本
java -version
设置java的环境变量，比如
sudo vim ~/.bashrc
>>
export JAVA_HOME=/usr/lib/jvm/java-7-oracle
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
export PATH=${JAVA_HOME}/bin:$PATH
>>
source ~/.bashrc
安装redis
redis主页
cd ~/src
wget http://download.redis.io/releases/redis-2.6.16.tar.gz
tar -zxf redis-2.6.16.tar.gz
cd redis-2.6.16
make
sudo make install
可以通过redis源代码里utils/install_server下的脚本简化配置工作
cd utils
sudo ./install_server.sh
install_server.sh在问你几个问题后会把redis安装为开机启动的服务，可以通过下面的命令行来启动/停止服务
sudo /etc/init.d/redis_ start/end
启动redis客户端来验证安装
redis-cli
> keys *
安装Elasticsearch
Elasticsearch主页
cd /search
sudo mkdir elasticsearch
cd elasticsearch
sudo wget http://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-0.90.5.zip
sudo unzip elasticsearch-0.90.5.zip
elasticsearch解压即可使用非常方便，接下来我们看一下效果，首先启动ES服务，切换到elasticsearch目录，运行bin下的elasticsearch
cd /search/elasticsearch/elasticsearch-0.90.5
bin/elasticsearch -f
访问默认的9200端口
curl -X GET http://localhost:9200
安装logstash
logstash主页
cd /search
sudo mkdir logstash
cd logstash
sudo wget http://download.elasticsearch.org/logstash/logstash/logstash-1.2.1-flatjar.jar
logstash下载即可使用，命令行参数可以参考logstash flags，主要有
agent #运行Agent模式
-f CONFIGFILE #指定配置文件
web #自动Web服务
-p PORT #指定端口，默认9292
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。
cd /search
sudo mkdir kibana
sudo wget http://download.elasticsearch.org/kibana/kibana/kibana-latest.zip
sudo unzip kibana-latest.zip
sudo cp -r kibana-latest /var/www/html
可以修改config.js来配置elasticsearch的地址和索引。
用浏览器访问试试看 http://127.0.0.1/html/kibana-latest/index.html
集成
把上面的系统集成起来
首先把redis和elasticsearch都启动起来
为logstash新建一个配置文件
cd /search/logstash
sudo vi redis.conf
配置文件内容如下
input {
redis {
host => "127.0.0.1"
port => "6379"
key => "logstash:demo"
data_type => "list"
codec => "json"
type => "logstash-redis-demo"
tags => ["logstashdemo"]
}
}
output {
elasticsearch {
host => "127.0.0.1"
}
}
用这个配置文件启动logstash agent
java -jar /search/logstash/logstash-1.2.1-flatjar.jar agent -f /search/logstash/redis.conf &
启动logstash内置的web
java -jar /search/logstash/logstash-1.2.1-flatjar.jar web &
查看web，应该还没有数据
http://127.0.0.1:9292
在redis 加一条数据
RPUSH logstash:demo "{\"time\": \"2013-01-01T01:23:55\", \"message\": \"logstash demo message\"}"
看看elasticsearch中的索引现状
curl 127.0.0.1:9200/_search?pretty=true
curl -s http://127.0.0.1:9200/_status?pretty=true | grep logstash
再通过logstash web查询一下看看
http://127.0.0.1:9292
通过单独的kibana界面查看
http://127.0.0.1/html/kibana-latest/index.html#/dashboard/file/logstash.json
数据清理
logstash默认按天创建ES索引，这样的好处是删除历史数据时直接删掉整个索引就可以了，方便快速。
elasticsearch也可以设置每个文档的ttl(time to live)，相当于设置文档的过期时间，但相比删除整个索引要耗费更多的IO操作。
索引
elasticsearch默认会按照分隔符对字段拆分，日志有些字段不要分词，比如url，可以为这类字段设置not_analyzed属性。
设置multi-field-type属性可以将字段映射到其他类型。multi-field-type。
大量日志导入时用bulk方式。
对于日志查询来说，filter比query更快 过滤器里不会执行评分而且可以被自动缓存。query-dsl。
elasticsearch默认一个索引操作会在所有分片都完成对文档的索引后才返回，你可以把复制设置为异步来加快批量日志的导入。
elasticsearch 优化
优化JVM
优化系统可以打开最大文件描述符的数量
适当增加索引刷新的间隔
最佳实践
首先你的程序要写日志
记录的日志要能帮助你分析问题，只记录"参数错误"这样的日志对解决问题毫无帮助
不要依赖异常，异常只处理你没考虑到的地方
要记录一些关键的参数，比如发生时间、执行时间、日志来源、输入参数、输出参数、错误码、异常堆栈信息等
要记录sessionid、transitionid、userid等帮你快速定位以及能把各个系统的日志串联起来的关键参数
推荐纯文本+json格式
使用队列
其他日志辅助工具
rsyslog
syslog-ng
graylog
fluentd
nxlog
资源：
1.ELK整体介绍（Elasticsearch + Logstash + Kibana）
(必看) Using elasticsearch, logstash & kibana to create realtime dashboards
https://speakerdeck.com/elasticsearch/using-elasticsearch-logstash-and-kibana-to-create-realtime-dashboards
Elasticsearch官方的slide
(必看) Collect & visualize your logs with Logstash, Elasticsearch & Redis
http://michael.bouvy.net/blog/en/2013/11/19/collect-visualize-your-logs-logstash-elasticsearch-redis-kibana/
对搭建ELK平台的具体操作做了详细介绍。
(必看)2014 SCALE12X-Introduction to Elasticsearch, Logstash and Kibana
https://speakerdeck.com/elasticsearch/scale-12x-introduction-to-elasticsearch-logstash-and-kibana
Elasticsearch的说明占50%,logstash的说明占40%,Kibana的说明占10%
使用logstash+elasticsearch+kibana快速搭建日志平台
http://www.cnblogs.com/buzzlight/p/logstash_elasticsearch_kibana_log.html
Kibana+Logstash+Elasticsearch 日志查询系统
http://enable.blog.51cto.com/747951/1049411
Log Analytics Using Elasticsearch-Logstash-Kibana(Part 1)
http://blog.nugrahais.me/blog/2013/12/23/log-analytics-using-elasticsearch-logstash-kibana-part-1/
Using ElasticSearch and Logstash to Serve Billions of Searchable Events for Customers
http://www.elasticsearch.org/blog/using-elasticsearch-and-logstash-to-serve-billions-of-searchable-events-for-customers/
使用ELK的一个介绍
一个很简洁，很简洁的ELK介绍 (2014年9月16日更新)
http://slides.com/garyelephant/elk-intro#/
2.logstash介绍
(必看) Logstash -Nicolas Szalay
http://slides.com/aurelienrougemont/logstash/
(必看) Getting started with Logstash - New to Logstash? Start here!
http://logstash.net/docs/1.4.0/tutorials/getting-started-with-logstash
(必看) Logstash-Jordan Sissel
http://semicomplete.com/presentations/logstash-scale11x/#/
Logstash and friends
http://www.slideshare.net/roidelapluie/logstash-and-friends?qid=0c61ce8f-1a87-4678-a9c7-61a18ae74993&v=default&b=&from_search=11
Logstash
http://www.slideshare.net/startit/logstash-29012201?qid=0c61ce8f-1a87-4678-a9c7-61a18ae74993&v=default&b=&from_search=7
page 11 to page 32：直观的罗列了一些input,filter,output,讲解了一下grok pattern
Starting out with grok in Logstash
http://antonlindstrom.com/2012/09/24/starting-out-with-grok-in-logstash.html
介绍Logstash Grok Filter
(重要) Logstash1.4.0 Grok Filter Docs
http://logstash.net/docs/1.4.0/filters/grok
(重要) Logstash1.4.0 Grok Filter 的 Predefined Patterns
https://github.com/elasticsearch/logstash/tree/v1.4.0/patterns
如BASE10NUM的Predefined Pattern是 (?<![0-9.+-])(?>[+-]?(?:(?:[0-9]+(?:\.[0-9]+)?)|(?:\.[0-9]+)))
(重要) http://grokdebug.herokuapp.com/
可以用来学习和测试Grok匹配的一个网站
3.Elasticsearch介绍
(必看) Elasticsearch :Search made easy for (web) developers
http://spinscale.github.io/elasticsearch/2012-03-jugm.html#/
(必看) Getting Down and dirty with Elasticsearch
http://www.slideshare.net/clintongormley/down-and-dirty-with-elasticsearch
200pages+的slide,对Elasticsearch的Rest API介绍的比较多
(必看) Elasticsearch :Pluggable architecture under the hood
http://spinscale.github.io/elasticsearch-intro-plugins/#/
(必看) An interactive coder oriented Elasticsearch tutorial [此条目更新于2014-10-10]
https://github.com/s1monw/hammertime
作者是Elasticsearch的一个主要开发者。纯代码形式的tutorial，简单过了一下Es的主要功能，可以下载下来执行一下。
(必看) Exploring Elasticsearch
http://exploringelasticsearch.com/
系统的介绍了Elasticsearch, 当然这本书“Elasticsearch Server”比它更全面、细节更多
(重要) Terms of endearment - the ElasticSearch Query DSL explained
http://www.slideshare.net/clintongormley/terms-of-endearment-the-elasticsearch-query-dsl-explained
Apache Lucene - Query Parser Syntax
(1) http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html#query-string-syntax
(2) http://lucene.apache.org/core/4_6_0/queryparser/org/apache/lucene/queryparser/classic/package-summary.html#Overview
Lucene的Query语法格式
Learning Elasticsearch
http://slides.com/garyelephant/learning-elasticsearch
推荐一下我制作的slide, 参考了很多资料集百家之所长、有针对性做的，从各方面介绍Elasticsearch, 内容不断更新中。
(重要) Elasticsearch References: Glossary of terms
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/glossary.html#glossary
Elasticsearch的一些核心概念
(重要) What is an ElasticSearch Index?
http://euphonious-intuition.com/2013/02/what-is-an-elasticsearch-index/
详细介绍Index
(重要) An introduction to mapping in elasticsearch
http://euphonious-intuition.com/2012/07/an-introduction-to-mapping-in-elasticsearch/
inquisitor
https://github.com/polyfractal/elasticsearch-inquisitor
这个elasticsearch site pluging 可以帮助你测试和理解Query, 如测试一句话使用各种analyzer分词的结果。
Elasticsearch Facets
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-facets.html
Elasticsearch Aggregations Overview
http://chrissimpson.co.uk/elasticsearch-aggregations-overview.html
Elastic Search Training#1 (brief tutorial)-ESCC#1
http://www.slideshare.net/medcl/elastic-search-training1-brief-tutorial
Lucene Scoring and elasticsearch’s _all Field
http://jontai.me/blog/2012/10/lucene-scoring-and-elasticsearch-_all-field/
Elasticsearch 数据的score计算
Advanced Scoring in elasticsearch
http://jontai.me/blog/2013/01/advanced-scoring-in-elasticsearch/
Elasticsearch 数据的score计算
4.Elasticsearch优化
elasticsearch configuration
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/setup-configuration.html#setup-configuration-memory
elasticsearch configuration and performance tuning.html
http://weiweiwang.github.io/elasticsearch-configuration-and-performance-tuning.html
ElasticSearch Training#2 (advanced concepts)-ESCC#1
http://www.slideshare.net/medcl/elastic-search-training2-advanced-concepts
Elasticsearch的性能优化，查询优化等技巧
Elasticsearch Java Virtual Machine settings explained
http://jprante.github.io/2012/11/28/Elasticsearch-Java-Virtual-Machine-settings-explained.html
ElasticSearch and Logstash Tuning
http://jablonskis.org/2013/elasticsearch-and-logstash-tuning/
Elasticsearch Plugin: Marvel
http://www.elasticsearch.org/overview/marvel/
Elasticsearch.org发布的Elasticsearch集群监控工具
Elasticsearch Plugin: Head
https://github.com/mobz/elasticsearch-head
Elasticsearch Plugin: Bigdesk - Live charts and statistics for elasticsearch cluster.
http://bigdesk.org/
Elasticsearch Plugin: Paramedic
https://github.com/karmi/elasticsearch-paramedic
Scaling Massive Elasticsearch Clusters
http://www.slideshare.net/sematext/scaling-massive-elasticsearch-clusters
Elasticsearch集群
5.Kibana介绍
(必看) 10 Minute Walk Through Kibana
http://www.elasticsearch.org/guide/en/kibana/current/using-kibana-for-the-first-time.html
Elasticsearch.org官方的Guide, 最近刚发布的。
Kibana Overview
http://www.elasticsearch.org/overview/kibana/
What’s Cooking in Kibana
http://www.elasticsearch.org/blog/whats-cooking-kibana/
Kibana 3: Milestone 4
http://www.elasticsearch.org/blog/kibana-3-milestone-4/
Kibana3.m4的新功能特性
Kibana入門-Yusuke Mito
https://speakerdeck.com/y310/kibanaru-men?slide=23
page23 ~ page37 里面有各种panel的截图
6.Elasticsearch的实际应用(updated in 2014-05-05)
Building a Recipe Search Site with Angular and Elasticsearch
http://www.sitepoint.com/building-recipe-search-site-angular-elasticsearch/
一个使用Angular和Elasticsearch搭建，食谱搜索应用的简单例子
7.最根本最重要的Resources
(1) Elasticsearch团队博客，每周更新
http://www.elasticsearch.org/blog
(2) Elasticsearch最新版本的API References
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/index.html
(3) logstash 1.4.0 的documents
http://logstash.net/docs/1.4.0/
(4) Kibana最新版本的documents
http://www.elasticsearch.org/guide/en/kibana/current/index.html
7.推荐2本书籍
"Elasticsearch Server"
推荐初学者看此书，至少应看完Chapter1,Chapter2, 而且目录可以帮助你规划学习路线。
"Mastering Elasticsearch"
本文整理的是2014年4月15日以前的学习资源，如果以后发现更优质资源，将随时更新，也欢迎读者提供资源，请私信或评论。
转载本文请注明作者和出处[Gary的影响力]http://garyelephant.me，请勿用于任何商业用途！
Author: Gary Gao( garygaowork[at]gmail.com) 关注互联网、分布式、高性能、NoSQL、自动化、软件团队
