1． 下载
cd /opt
sudo wget https://download.elastic.co/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/2.3.5/elasticsearch-2.3.5.tar.gz
2．解压
sudo tar zxvf elasticsearch-2.3.5.tar.gz
3．启动
cd elasticsearch
bin/elasticsearch -d
修改配置：
# ---------------------------------- Cluster --------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: my-application
#
# ------------------------------------ Node -------------------
#
# Use a descriptive name for the node:
#
node.name: node-1
４．访问
curl -i 'http://localhost:9200/?pretty'
{
"name" : "Jekyll",
"cluster_name" : "elasticsearch",
"version" : {
"number" : "2.3.5",
"build_hash" : "90f439ff60a3c0f497f91663701e64ccd01edbb4",
"build_timestamp" : "2016-07-27T10:36:52Z",
"build_snapshot" : false,
"lucene_version" : "5.5.0"
},
"tagline" : "You Know, for Search"
}
5． 安装head插件
bin/plugin install mobz/elasticsearch-head
http://localhost:9200/_plugin/head/
Paste_Image.png
6． 安装并启动kibana插件
sudo wget https://download.elastic.co/kibana/kibana/kibana-4.5.4-linux-x64.tar.gz
sudo tar zxvf kibana-4.5.4-linux-x64.tar.gz
cd kibana-4.5.4-linux-x64
bin/kibana &
７． 安装监控marvel
sudo wget https://download.elastic.co/elasticsearch/release/org/elasticsearch/plugin/license/2.3.5/license-2.3.5.zip
sudo wget https://download.elastic.co/elasticsearch/release/org/elasticsearch/plugin/marvel-agent/2.3.5/marvel-agent-2.3.5.zip
sudo wget https://download.elasticsearch.org/elasticsearch/marvel/marvel-2.3.5.tar.gz
bin/plugin install file:///opt/license-2.3.5.zip
bin/plugin install file:///opt/marvel-agent-2.3.5.zip
bin/kibana plugin --install marvel --url file:///opt/marvel-2.3.5.tar.gz
curl http://localhost:5601/
Paste_Image.png
Paste_Image.png
官网插件安装地址
https://www.elastic.co/guide/en/marvel/2.3/installing-marvel.html
Screenshot.png
８．健康检查
curl 'localhost:9200/_cat/health?v'
epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1471493855 12:17:35 elasticsearch yellow 1 1 1 1 0 0 1 0 - 50.0%
９．查询节点
curl 'localhost:9200/_cat/nodes?v'
host ip heap.percent ram.percent load node.role master name
127.0.0.1 127.0.0.1 3 87 0.35 d * Jekyll
10． list all indices
curl 'localhost:9200/_cat/indices?v'
health status index pri rep docs.count docs.deleted store.size pri.store.size
yellow open .kibana 1 1 2 0 19.1kb 19.1kb
11． shared
curl 'localhost:9200/_cat/shards?v'
index shard prirep state docs store ip node
.kibana 0 p STARTED 2 19.1kb 127.0.0.1 Jekyll
.kibana 0 r UNASSIGNED
12．按照中文分词插件
./bin/plugin install medcl/elasticsearch-rtf
二、使用(请参考README文档)
1.角色关系对照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
2.创建索引，相当于数据库wechat
curl -XPUT 'http://localhost:9200/wechat/user/info' -d '{ "name" : "wechatUserInformation" }'
返回：{"_index":"wechat","_type":"user","_id":"info","_version":1,"_shards":{"total":2,"successful":1,"failed":0},"created":true}
说明：索引库: wechat
表: user
主键id: id
默认版本: 1
字段: name
字段值: wechatUserInformation
3.创建表和提交数据
curl -XPUT 'http://localhost:9200/wechat/user/1' -d '{ "subscribe" : 1, "openid" : "oH-JmuL9-lcG9NmufCJ3pHoQtIGE", "nickname" : "涛涛江水", "language" : "zh_CN", "city" : "沈阳", "province" : "辽宁", "country" : "中国", "headimgurl" : "http://wx.qlogo.cn/mmopen/nh5KLO4GkfafDtujhPTVgedAJGgDbNiafQKUian6Xibk7pHAJL5ff05fOjc5EydreJbvcTcgTkaZia4jucgGibtsysMMTFALr5XJU/0", "subscribe_time" : 1468924074, "remark" : "", "groupid" : 0, "tagid_list" : [ ], "platId" : "FH1KH6EXUD", "gender" : 1, "seqId" : 5, "languageId" : 50, "countryId" : 2, "provinceId" : 11, "cityId" : 12, "realtime_countryId" : 2, "realtime_provinceId" : 1108, "realtime_cityId" : 1020, "real_time_country" : "中国", "real_time_province" : "辽宁省", "real_time_city" : "沈阳市" }'
返回：{"_index":"wechat","_type":"user","_id":"1","_version":1,"_shards":{"total":2,"successful":1,"failed":0},"created":true}
4 . 查看
curl -XGET 'http://localhost:9200/wechat/user/info?pretty=true'
返回：
{ "_index" : "twitter", "_type" : "user", "_id" : "kimchy", "_version" : 1, "found" : true, "_source":{ "name" : "wechatUserInformation" }}
curl -XGET 'http://localhost:9200/wechat/_search?pretty=true' -d '{"query" : {"match" : {"city" : "沈阳" }}}'
５．支持中文全文检索
参考：https://github.com/medcl/elasticsearch-analysis-ik
在elasticsearch.yml 文件末尾增加
index.analysis.analyzer.ik.type: ik
６．测试中文搜索
curl -XPUT http://localhost:9200/userindex
7 . create a mapping
curl -XPOST http://localhost:9200/userindex/fulltext/_mapping -d'{ "fulltext": { "_all": { "analyzer": "ik_max_word", "search_analyzer": "ik_max_word", "term_vector": "no", "store": "false" }, "properties": { "content": { "type": "string", "store": "no", "term_vector": "with_positions_offsets", "analyzer": "ik_max_word", "search_analyzer": "ik_max_word", "include_in_all": "true", "boost": 8 } } }}'
8．.index some docs
curl -XPOST http://localhost:9200/userindex/fulltext/1 -d'{"content":"美国留给伊拉克的是个烂摊子吗"}'
curl -XPOST http://localhost:9200/userindex/fulltext/2 -d'{"content":"公安部：各地校车将享最高路权"}'
curl -XPOST http://localhost:9200/userindex/fulltext/3 -d'{"content":"中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"}'
curl -XPOST http://localhost:9200/userindex/fulltext/4 -d'{"content":"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"}'
9 .query with highlighting
curl -XPOST http://localhost:9200/userindex/fulltext/_search -d'{ "query" : { "term" : { "content" : "中国" }}, "highlight" : { "pre_tags" : ["<tag1>", "<tag2>"], "post_tags" : ["</tag1>", "</tag2>"], "fields" : { "content" : {} } }}'
