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
- smartcn, 默认的中文分词 ：https://github.com/elasticsearch/elasticsearch-analysis-smartcn
- mmseg ：https://github.com/medcl/elasticsearch-analysis-mmseg
- ik：https://github.com/medcl/elasticsearch-analysis-ik
- pinyin, 拼音分词可用于输入拼音提示中文 ：https://github.com/medcl/elasticsearch-analysis-pinyin
- stconvert, 中文简繁体互换 ：https://github.com/medcl/elasticsearch-analysis-stconvert
- elasticsearch-servicewrapper：https://github.com/elasticsearch/elasticsearch-servicewrapper
- Elastic HQ，elasticsearch的监控工具：http://www.elastichq.org
- elasticsearch-rtf ：https://github.com/medcl/elasticsearch-rtf
三、安装
- 服务器：Linux（centos 6.x）
- java环境：JDK 1.8.0
- elasticsearch：2.3.1
- elasticsearch-jdbc（数据源插件）：2.3.1
- 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、创建目录
mkdir -p /data/elasticsearch/data mkdir -p /data/elasticsearch/logs chown -R elasticsearch /data/elasticsearch/data chown -R elasticsearch /data/elasticsearch/logs
4、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-2.3.2.0
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 ‘localhost:9200/customer/external/_search?pretty&q=*‘
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