1.创建索引

put localhost:9200/person

2.添加数据

put  localhost:9200/person/_doc/1

{
"first_name" : "John",
"last_name" : "Smith",
"age": 25,
"about" : "I love to go rock climbing",
"interests" : ["sports","music"]
}

3.搜索ES里面的数据

get localhost:9200/person/_doc/1

GET _all  : 查看所有

GET /index名/_doc（默认的type，6版本以后可省略）/id : 根据id查

根据指定条件查询：

should=or

must=and

match=like

POST /person/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"last_name": "Smith"
}
},
{
"match": {
"about": "basketball"
}
}
]
}
}
}

启动logstash

bin/logstash -f config/mysql.conf

添加和更新文档

POST test/job/1
{
"becif": "612",
"uuid": "vprcBisp"
}

查询分词效果：

POST http://127.0.0.1:9200/_analyze?pretty=true

{

    "analyzer":"standard",

    "text": "我是程序员"

}

query string search

query DSL  Domain Specified Language 特定领域的语言

GET ecommerce/product/_search
{
"query": {
"match_all": {}
}
}

GET /ecommerce/product/_search
{
"query": {
"match": {
"name": "yagao"
}
},
"sort": [
{
"price": {
"order": "desc"
}
}
]
}

_search 查询

#实现分页查询
GET ecommerce/product/_search
{
"query" :{"match_all":{}},
"from":1,
"size":2
}

只查询部分字段

GET ecommerce/product/_search
{
"query": {
"match_all": {}
},
"_source": ["name","price"]
}

3.query filter

搜索商品名称包含yagao,而且售价大于25的商品

GET /ecommerce/product/_search
{
"query": {
"bool": {
"must": {
"match":
{
"name":"yagao"
}
},
"filter": {
"range": {
"price": {
"gt": 25
}
}
}
}
}
}

4.全文检索

PUT /ecommerce/product/4
{
"name": "special yagao",
"desc": "special meibai",
"price": 50,
"producer": "special yagao producer",
"tags": [
"meibai"
]
}

GET /ecommerce/product/_search
{
"query": {
"match": {
"producer": "yagao producer"
}
}
}

无论学习什么技术，一定自己动手，特别是手工敲各种代码，不要粘贴复制，比如说当初学java，学shell, 学javascript，学hadoop