Elasticsearch核心知识篇(7)
这篇主要是针对搜索的多种方式进行讲解,重点注意全文检索
和短语检索
的过程和区别
query string search
搜索全部商品:
GET /ecommerce/product/_search
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- 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
{
"took": 9, # 总共用时9ms
"timed_out": false, # 没有超时
"_shards": { # 一个请求,在多少个primary shard上进行搜索
"total": 5, # 5个,创建的时候默认是生成5个primary shard
"successful": 5,
"failed": 0
},
"hits": {
"total": 2, # 查询出来满足条件的总document数
"max_score": 1, # 最大的相关分数
"hits": [ # 详细document信息
{
"_index": "ecommerce", # index
"_type": "product", # type
"_id": "2", # id
"_score": 1, # 相关度分数
"_source": { # document 中的原始数据
"name": "jiajieshi yagao", # field 字段
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 1,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}
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query string search的由来,因为search参数都是以http请求的query string来附带的
搜索商品名称中包含yagao的商品,而且按照售价降序排序:
其实我们去看下面的命令的时候我们会发现其实就是一个GET命令,路由?路径参数(特有:操作选项),请求到服务器后,服务器给你返回一个json串
- q=name:yagao 名称中带有yagao的document
- sort=price:desc 价格降序
GET /ecommerce/product/_search?q=name:yagao&sort=price:desc
{
"took": 26,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"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": [ # 我们可以看到比上面搜索的时候多了一个字段sort 就是排序字段
40
]
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": null,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
},
"sort": [
25
]
}
]
}
}
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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
query DSL
DSL:Domain Specified Language,特定领域的语言,指的是es中特定的语法
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
总结下:
- query:match_all/match
- sort
- from
- size
- _source
查询所有的商品
GET /ecommerce/product/_search
{
"query": { "match_all": {} } # query 和上面的q是一样的效果,match_all 匹配所有数据
}
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"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"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 1,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}
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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" # match 匹配 name字段中包含xxx sort 按照xxx字段的升、降序
}
},
"sort": [
{ "price": "desc" }
]
}
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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, # 就是offset,从那个数据开始查询
"size": 1 # limit 一页查询多少数据
}
# from 1 size 1 从第一条数据往后在查出来1条数据,就是要查第二条数据
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 1,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}
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指定要查询出来商品的名称和价格就可以
GET /ecommerce/product/_search
{
"query": { "match_all": {} }, # _source中指定字段进行输出
"_source": ["name", "price"]
}
{
"took": 20,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 1,
"_source": {
"price": 25,
"name": "jiajieshi yagao"
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 1,
"_source": {
"price": 40,
"name": "zhonghua yagao"
}
}
]
}
}
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更加适合生产环境的使用,可以构建复杂的查询
query filter
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" : { # bool封装多个条件
"must" : { # must 必须要满足
"match" : {
"name" : "yagao"
}
},
"filter" : { # filter过滤规则:range范围过滤
"range" : {
"price" : { "gt" : 25 }
}
}
}
}
}
{
"took": 10,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.25811607,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 0.25811607,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}
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full-text search(全文检索)
producer这个字段,会先被拆解,建立倒排索引
- special 4
- yagao 4
- producer 1,2,3,4
- gaolujie 1
- zhognhua 3
- jiajieshi 2
yagao producer —> yagao和producer 注意这个地方全文匹配的时候是,将字段进行分词后在进行匹配
GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "yagao producer"
}
}
}
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0.51623213, # 我们可以看到匹配到的分数其实是不一样的
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 0.51623213,
"_source": {
"name": "jiaqiangban gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "yagao producer",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "5",
"_score": 0.25811607,
"_source": {
"name": "waws520 yagao",
"desc": "caoben zhiwu",
"price": 520,
"producer": "waws producer",
"tags": [
"qingxin"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 0.25811607,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 0.16358379,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.16358379,
"_source": {
"name": "waws512 yagao",
"desc": "bohe zhiwu",
"price": 521,
"producer": "waws producer",
"tags": [
"relax",
"quwu"
]
}
}
]
}
}
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phrase search(短语搜索)
跟全文检索相对应
- 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" : { # 短语检索匹配
"producer" : "yagao producer"
}
}
}
{
"took": 6,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.51623213,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 0.51623213,
"_source": {
"name": "jiaqiangban gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "yagao producer",
"tags": [
"meibai",
"fangzhu"
]
}
}
]
}
}
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6、highlight search(高亮搜索结果)
GET /ecommerce/product/_search
{
"query" : {
"match" : {
"producer" : "waws"
}
},
"highlight": { # hightlight 指定字段的文本高亮
"fields" : {
"producer" : {}
}
}
}
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0.62191015,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.62191015,
"_source": {
"name": "waws512 yagao",
"desc": "bohe zhiwu",
"price": 521,
"producer": "waws producer",
"tags": [
"relax",
"quwu"
]
},
"highlight": {
"producer": [
"<em>waws</em> producer" # 我们看到我们的match到的waws加上了一个标签
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "5",
"_score": 0.25811607,
"_source": {
"name": "waws520 yagao",
"desc": "caoben zhiwu",
"price": 520,
"producer": "waws producer",
"tags": [
"qingxin"
]
},
"highlight": {
"producer": [
"<em>waws</em> producer"
]
}
}
]
}
}
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