Elasticsearch学习七

时间 2019-11-26

原文原文链接

一、query string search
二、query DSL
三、query filter
四、full-text search
五、phrase search
六、highlight searchjavascript

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把英文翻译成中文，让我以为很别扭，term，词项linux

一、query string searchshell

搜索所有商品：GET /ecommerce/product/_searchjson

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，因此对于搜索请求，会打到全部的primary shard（或者是它的某个replica shard也能够）
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curl

{
"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"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 1,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"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"
]
}
}
]
}
}工具

query string search的由来，由于search参数都是以http请求的query string来附带的oop

搜索商品名称中包含yagao的商品，并且按照售价降序排序：GET /ecommerce/product/_search?q=name:yagao&sort=price:desc学习

适用于临时的在命令行使用一些工具，好比curl，快速的发出请求，来检索想要的信息；可是若是查询请求很复杂，是很难去构建的
在生产环境中，几乎不多使用query string searchurl

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二、query DSL

DSL：Domain Specified Language，特定领域的语言
http request body：请求体，能够用json的格式来构建查询语法，比较方便，能够构建各类复杂的语法，比query string search确定强大多了

查询全部的商品

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"
}
},
"sort": [
{ "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，如今显示第2页，因此就查出来第2个商品

GET /ecommerce/product/_search
{
"query": { "match_all": {} },
"from": 1,
"size": 1
}

指定要查询出来商品的名称和价格就能够

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

更加适合生产环境的使用，能够构建复杂的查询

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三、query filter

搜索商品名称包含yagao，并且售价大于25元的商品

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

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四、full-text search（全文检索）

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

尽可能，不管是学什么技术，好比说你当初学java，学linux，学shell，学javascript，学hadoop。。。。必定本身动手，特别是手工敲各类命令和代码，切记切记，减小复制粘贴的操做。只有本身动手手工敲，学习效果才最好。

producer这个字段，会先被拆解，创建倒排索引

special       4
yagao       4
producer   1,2,3,4
gaolujie   1
zhognhua   3
jiajieshi   2

yagao producer ---> yagao和producer

{
"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"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 0.25811607,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_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": 0.1805489,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
}
]
}
}

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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，就能够做为结果返回
phrase search，要求输入的搜索串，必须在指定的字段文本中，彻底包含如出一辙的，才能够算匹配，才能做为结果返回

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"
]
}
}
]
}
}

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六、highlight search（高亮搜索结果）

GET /ecommerce/product/_search { "query" : { "match" : { "producer" : "producer" } }, "highlight": { "fields" : { "producer" : {} } } }