官方网址:https://www.elastic.co/products/elasticsearch/
一、特性
1、支持中文分词
2、支持多种数据源的全文检索引擎
3、分布式
4、基于lucene的开源搜索引擎
5、Restful api
二、资源
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smartcn, 默认的中文分词 :https://github.com/elasticsearch/elasticsearch-analysis-smartcn
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mmseg :https://github.com/medcl/elasticsearch-analysis-mmseg
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ik:https://github.com/medcl/elasticsearch-analysis-ik
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pinyin, 拼音分词可用于输入拼音提示中文 :https://github.com/medcl/elasticsearch-analysis-pinyin
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stconvert, 中文简繁体互换 :https://github.com/medcl/elasticsearch-analysis-stconvert
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elasticsearch-servicewrapper:https://github.com/elasticsearch/elasticsearch-servicewrapper
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Elastic HQ,elasticsearch的监控工具:http://www.elastichq.org
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elasticsearch-rtf :https://github.com/medcl/elasticsearch-rtf
三、安装
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服务器:Linux(centos 6.x)
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java环境:JDK 1.8.0
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elasticsearch:2.3.1
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elasticsearch-jdbc(数据源插件):2.3.1
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IK Analysis(中文分词插件):1.9.1
1、安装Java
yum install java-1.8.0
2、安装Elasticsearch
#创建.repo文件(elasticsearch.repo) cat >> /etc/yum.repos.d/elasticsearch.repo << EOF [elasticsearch-2.x] name=Elasticsearch repository for 2.x packages baseurl=https://packages.elastic.co/elasticsearch/2.x/centos gpgcheck=1 gpgkey=https://packages.elastic.co/GPG-KEY-elasticsearch enabled=1 EOF #导入key: rpm --import https://packages.elastic.co/GPG-KEY-elasticsearch yum install elasticsearch
3、创建用户
如果是用root账号启动,会报以下错误
Exception in thread "main" java.lang.RuntimeException: don't run elasticsearch as root. at org.elasticsearch.bootstrap.Bootstrap.initializeNatives(Bootstrap.java:93) at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:144) at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:285) at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:35) Refer to the log for complete error details.
这是出于系统安全考虑设置的条件。由于ElasticSearch可以接收用户输入的脚本并且执行,为了系统安全考虑, 建议创建一个单独的用户用来运行ElasticSearch
groupadd elsearch useradd elsearch -g elsearch -p elasticsearch
4、创建目录
mkdir -p /data/elasticsearch/data mkdir -p /data/elasticsearch/logs chown -R elsearch:elsearch /data/elasticsearch/data chown -R elsearch:elsearch /data/elasticsearch/logs
5、生成配置文件(/etc/elasticsearch/elasticsearch.yml)
#集群名(同一个集群,名称必须相同) cluster.name: my-application #服务节点名(每个服务节点不一样) node.name: node-1 #数据存储路径 path.data: /data/elasticsearch/data #服务日志路径 path.logs: /data/elasticsearch/logs #服务ip地址 network.host: 0.0.0.0 #服务端口 http.port: 9200
四、IK的安装
1.安装maven工具
wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo yum install apache-maven
2.下载ik源码包
git clone https://github.com/medcl/elasticsearch-analysis-ik
3.生成jar插件包
mvn clean mvn compile mvn package unzip target/releases/elasticsearch-analysis-ik-*.zip cp -r target/releases/ /usr/share/elasticsearch/plugins/ik
4.配置词库(ik自带搜狗词库)
配置:/usr/share/elasticsearch/plugins/ik/config/ik/IKAnalyzer.cfg.xml
<entry key="ext_dict">custom/mydict.dic;custom/single_word_low_freq.dic;custom/sougou.dic</entry>
将jar包复制到Elasticsearch的plugins/analysis-ik
目录下,再把解压出的ik目录(配置和词典等),复制到Elasticsearch的config
目录下。然后编辑配置文件elasticsearch.yml
,在后面加一行:
index.analysis.analyzer.ik.type : "ik"
重启service elasticsearch restart
然后录入数据,创建索引
五、elasticsearch-jdbc
1、使用feeder方式
wget http://xbib.org/repository/org/xbib/elasticsearch/importer/elasticsearch-jdbc/2.3.1.0/elasticsearch-jdbc-2.3.1.0-dist.zip unzip elasticsearch-jdbc-2.3.1.0-dist.zip
编辑数据导入脚本import.sh
export JDBC_IMPORTER_HOME=/elasticsearch-jdbc-2.3.1.0 bin=$JDBC_IMPORTER_HOME/bin lib=$JDBC_IMPORTER_HOME/lib echo '{ "type" : "jdbc", "jdbc": { "url":"jdbc:mysql://127.0.0.1:3306/dbtest", "user":"root", "password":"123456", "sql":"select * from test_tb", "index" : "customer", "type" : "external" }}' | java -cp "${lib}/*" -Dlog4j.configurationFile=${bin}/log4j2.xml org.xbib.tools.Runner org.xbib.tools.JDBCImporter
测试
curl -XGET 'localhost:9200/customer/external/_search?pretty&q=a'
删除索引
curl -XDELETE 'http://localhost:9200/customer'
2、使用river方式
#安装elasticsearch curl -OL https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-1.4.2.zip cd $ES_HOME unzip path/to/elasticsearch-1.4.2.zip #安装JDBC插件 ./bin/plugin --install jdbc --url http://xbib.org/repository/org/xbib/elasticsearch/plugin/elasticsearch-river-jdbc/1.4.0.6/elasticsearch-river-jdbc-1.4.0.6-plugin.zip #下载mysql driver curl -o mysql-connector-java-5.1.33.zip -L 'http://dev.mysql.com/get/Downloads/Connector-J/mysql-connector-java-5.1.33.zip/from/http://cdn.mysql.com/' cp mysql-connector-java-5.1.33-bin.jar $ES_HOME/plugins/jdbc/ chmod 644 $ES_HOME/plugins/jdbc/* #启动elasticsearch ./bin/elasticsearch #停止river curl -XDELETE 'localhost:9200/_river/my_jdbc_river/'
JDBC插件参数
curl -XPUT 'localhost:9200/_river/my_jdbc_river/_meta' -d '{ "type" : "jdbc", "jdbc" : { "url" : "jdbc:mysql://localhost:3306/test", "user" : "", "password" : "", "sql" : "select * from orders", "index" : "myindex", "type" : "mytype", ... } }' 如果一个数组传递给jdbc字段,多个river源也是可以的 curl -XPUT 'localhost:9200/_river/my_jdbc_river/_meta' -d '{ <river parameters> "type" : "jdbc", "jdbc" : [ { <river definition 1> }, { <river definition 2> } ] }' curl -XPUT 'localhost:9200/_river/my_jdbc_river/_meta' -d '{ "type" : "jdbc", "jdbc" : { "driver" : "com.mysql.jdbc.Driver", "url" : "jdbc:mysql://localhost:3306/test", "user" : "root", "password" : "123456", "sql" : "select * from test.student;", "interval" : "30", "index" : "test", "type" : "student" } }’
查看ES是否已经同步了这些数据
curl -XGET 'localhost:9200/test/student/_search?pretty&q=*'
官网地址:https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-aliases.html
参考
https://www.elastic.co/guide/en/elasticsearch/guide/current/empty-search.html
https://github.com/medcl/elasticsearch-analysis-ik
http://blog.csdn.net/clementad/article/details/46898013
https://endymecy.gitbooks.io/elasticsearch-guide-chinese/content/elasticsearch-river-jdbc.html
https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-aliases.html
https://github.com/jprante/elasticsearch-jdbc
http://www.voidcn.com/blog/wojiushiwo987/article/p-6058574.html
http://leotse90.com/2015/11/11/ElasticSearch%E4%B8%8EMySQL%E6%95%B0%E6%8D%AE%E5%90%8C%E6%AD%A5%E4%BB%A5%E5%8F%8A%E4%BF%AE%E6%94%B9%E8%A1%A8%E7%BB%93%E6%9E%84/
http://www.jianshu.com/p/638ff7b848cc
http://www.cnblogs.com/buzzlight/p/logstash_elasticsearch_kibana_log.html