主要知识点
1, query string search
(1) GET /ecommerce/product/_search
(2) GET/ecommerce/product/_search?q=name:yagao&sort=price:desc
2,query DSL
(1)、 GET /ecommerce/product/_search
{
"query": { "match_all": {} }
}
(2)、GET /ecommerce/product/_search
{
"query" : {
"match" : {
"name" : "yagao"
}
},
"sort": [
{ "price": "desc" } ]
}
(3)、GET /ecommerce/product/_search
{
"query": { "match_all": {} },
"from": 1, # 从第几个开始查,从0开始
"size": 1 ,# 查几个
}
(4)、GET /ecommerce/product/_search
{
"query": { "match_all": {} },
"_source": ["name", "price"]
}
3、query filter
(1)、GET /ecommerce/product/_search
{
"query" : {
"bool" : {
"must" : {
"match" : {
"name" : "yagao"
}
},
"filter" : {
"range" : {
"price" : { "gt" : 25 } #大于25
}
}
}
}
}
4, full-text search
GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "yagao producer"
}
}
}
5, phrase search
GET /ecommerce/product/_search
{
"query" : {
"match_phrase" : {
"producer" : "yagao producer"
}
}
}
6, highlight search
GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "producer"
}
},
"highlight": {
"fields" : {
"producer" : {}
}
}
}
-
一 query string search
1、搜索全部商品
语法:GET /ecommerce/product/_search
结果的一些说明:
took:耗费了几毫秒
timed_out: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)
hits.total:查询结果的数量,3个document
hits.max_score: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.hits:包含了匹配搜索的document的详细数据
结果如下:
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 1,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
},
数据未展示完,只展示了一条数据
query string search的由来:因为search参数都是以http请求的query string来附带的。
2、对搜索的结果集进行排序
搜索商品名称中包含yagao的商品,而且按照售价降序排序:
GET /ecommerce/product/_search?q=name:yagao&sort=price:desc
这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
二、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
{ "query":{查询体}
}
1、查询所有的商品
GET /ecommerce/product/_search
{
"query": { "match_all": {} }
}
2、查询名称包含特定词语,同时对结果进行降序排序
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"
}
},
"sort": [
{ "price": "desc" } ]
}
3、分页查询
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": 1, # 从第几个开始查,从0开始
"size": 1 ,# 查几个
}
4、只需要特定fileds
指定要查询出来商品的名称和价格就可以(只显示特定的fileds)
GET /ecommerce/product/_search
{
"query": { "match_all": {} },
"_source": ["name", "price"]
}
query DSL更加适合生产环境的使用,可以构建复杂的查询
三、query filter
对数据进行过滤
搜索商品名称包含yagao,而且售价大于25元的商品
GET /ecommerce/product/_search
{
"query" : {
"bool" : {
"must" : {
"match" : {
"name" : "yagao"
}
},
"filter" : {
"range" : {
"price" : { "gt" : 25 } #大于25
}
}
}
}
}
四、full-text search(全文检索)
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,顺序有匹配的相关度从高到底排列.
查询 producer 里包含"yagao producer"的数据
GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "yagao producer"
}
}
}
producer这个字段,会先被拆解,建立倒排索引
term |
id |
special |
4 |
yagao |
4 |
producer |
1,2,3,4 |
gaolujie |
2 |
zhognhua |
3 |
jiajieshi |
2 |
搜索词yagao producer 被拆分为yagao和producer,然后分别去匹配,producer可以匹配1,2,3,4,yagao可以匹配4,所以四条数据均会被查询出来,但是"special yagao producer"在最高头.因为他的相关度最高.
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 0.70293105,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.70293105,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": 50,
"producer": "special yagao producer",
"tags": [
"meibai"
]
}
},
数据未展示全
五、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" : {
"producer" : "yagao producer"
}
}
}
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.70293105,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.70293105,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": 50,
"producer": "special yagao producer",
"tags": [
"meibai"
]
}
}
]
}
}
六、highlight search(高亮搜索结果)
GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "producer"
}
},
"highlight": {
"fields" : {
"producer" : {}
}
}
}
结果是
{
"took": 66,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 0.70293105,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.70293105,
"_source": {
"name": "special yagao",
"desc": "special meigai",
"price": 50,
"producer": "special yagao producer"
},
"highlight": {
"producer": [
"special <em>yagao</em> <em>producer</em>"
]
}
},
最后这一段就表示我们搜索的高亮.
最后特别说明:
无论是学什么技术,一定自己动手,特别是手工敲各种命令和代码,切记切记,减少复制粘贴的操作。只有自己动手手工敲,学习效果才最好。