1、Query string search
由于 这种搜索方式的语法特别 像http 中的Query String 形式,所以叫做 Query string search
语法 GET /index/type/_search?param
例如想搜索 全部商品
GET /ecommerce/product/_search
{
"took": 2, //耗费了几毫秒
"timed_out": false, //是否超时，这里是没有
"_shards": { //数据拆成了5个分片，所以对于搜索请求，会打到所有的primary shard（或者是它的某个replica shard也可以）
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 4, //查询结果的数量，3个document
"max_score": 1, //score的含义，就是document对于一个search的相关度的匹配分数，越相关，就越匹配，分数也高
"hits": [ //包含了匹配搜索的document的详细数据
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 1,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 1,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producter",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 1,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producter",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 1,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}
再或者想搜索商品名中包含牙膏的商品,并且按照价格降序排列
GET /ecommerce/product/_search?q=name:yagao&sort=price:desc
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 4,
"max_score": null,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": null,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
},
"sort": [
40
]
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": null,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producter",
"tags": [
"meibai",
"fangzhu"
]
},
"sort": [
30
]
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": null,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producter",
"tags": [
"meibai",
"fangzhu"
]
},
"sort": [
30
]
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": null,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
},
"sort": [
25
]
}
]
}
}
此种方式适用于临时的在命令行使用一些工具，比如curl，快速的发出请求，来检索想要的信息；但是如果查询请求很复杂，是很难去构建的
在生产环境中，几乎很少使用query string search
2、Query DSL
DSL：Domain Specified Language，特定领域的语言
http request body：请求体，可以用json的格式来构建查询语法，比较方便，可以构建各种复杂的语法，比query string search肯定强大多了
语法 GET /index/type/_search
{
body param
}
例如想查询所有商品
GET /ecommerce/product/_search
{
"query": {
"match_all": {
}
}
}
查询名称包含yagao的商品，同时按照价格降序排序
GET /ecommerce/product/_search
{
"query": {
"match": {
"name": "yagao" //支持全文检索
}
},
"sort": [ //加了sort后 _score会丢失
{
"price": "desc"
}
]
}
分页查询商品，总共3条商品，假设每页就显示1条商品，现在显示第2页，所以就查出来第2个商品
GET /ecommerce/product/_search
{
"query": {
"match_all": {}
},
"from": 0,
"size": 1
}
指定要查询出来商品的列
GET /ecommerce/product/_search
{
"query": {
"match_all": {}
},
"_source": ["name","price"]
}
3、Query filter
搜索商品名称包含yagao，而且售价大于等于30元的商品
另外说明filter不会计算相关度评分_soure，并且会将结果进行缓存，所以其性能要好于query
GET /ecommerce/product/_search
{
"query": {
"bool": {
"must": {
"match": {
"name": "yagao"
}
}
,
"filter": {
"range": {
"price": {
"gte": 30
}
}
}
}
}
}
4、Full-text search（全文检索）
GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "yagao producer"
}
}
}
5、Phrase search（短语搜索）
跟全文检索相对应，相反，全文检索会将输入的搜索串拆解开来，去倒排索引里面去一一匹配，只要能匹配上任意一个拆解后的单词，就可以作为结果返回
phrase search，要求输入的搜索串，必须在指定的字段文本中，完全包含一模一样的，才可以算匹配，才能作为结果返回
GET /ecommerce/product/_search
{
"query": {
"match_phrase": {
"name": "zhonghua yagao"
}
}
}
6、Highlight search （高亮搜索结果）
GET /ecommerce/product/_search
{
"query": {
"match": {
"name": "yagao"
}
},
"highlight": {
"fields": {
"name":{}
}
}
}
网友评论