这篇文章给大家介绍ElasticSearch中如何使用多种搜索方式检索数据，内容非常详细，感兴趣的小伙伴们可以参考借鉴，希望对大家能有所帮助。
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1、query string search查询
（1）、全量查询
GET http://{{es-host}}/ecommerce/produce/_search结果：
{
"took": 38,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1.0,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "2",
"_score": 1.0,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "1",
"_score": 1.0,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": 1.0,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}解释：
took 标识检索花费的时间，单位毫秒
time_out 是否超时
_shards 数据拆分成了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 检索5个分片
successful 成功5个
hits.total 检索到数据的总记录数
hits.max_score 相似度分数 最高为1
hits.hits 数据集合
hits.hits._index 索引名称
hits.hits._type 类型
hits.hits._score 数据评分
hits.hits._source 数据项内容
（2）、根据商品名称检索，按价格倒叙排列
GET http://{{es-host}}/ecommerce/produce/_search?q=name:yagao&sort=price:desc结果：
{
"took": 71,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 3,
"max_score": null,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": null,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
},
"sort": [
40
]
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "1",
"_score": null,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
},
"sort": [
30
]
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "2",
"_score": null,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
},
"sort": [
25
]
}
]
}
}2、query DSL查询
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。
（1）、全量查询
GET http://{{es-host}}/ecommerce/produce/_search
{
"query":{
"match_all":{}
}
}结果：
{
"took": 23,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1.0,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "2",
"_score": 1.0,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "1",
"_score": 1.0,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": 1.0,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
} (2) 、全量查询返回指定属性值
GET http://{{es-host}}/ecommerce/produce/_search
{
"query":{
"match_all":{}
},
"_source":["name","price"]
}返回结果：
{
"took": 57,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "2",
"_score": 1,
"_source": {
"price": 25,
"name": "jiajieshi yagao"
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "1",
"_score": 1,
"_source": {
"price": 30,
"name": "gaolujie yagao"
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": 1,
"_source": {
"price": 40,
"name": "zhonghua yagao"
}
}
]
}
}（3）、按商品名称搜索并按价格倒叙排列
GET http://{{es-host}}/ecommerce/produce/_search
{
"query":{
"match":{
"name":"yagao"
}
},
"sort":{
"price":"desc"
}
}结果：
{
"took": 384,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 3,
"max_score": null,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": null,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
},
"sort": [
40
]
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "1",
"_score": null,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
},
"sort": [
30
]
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "2",
"_score": null,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
},
"sort": [
25
]
}
]
}
}3、query filter查询
搜索商品名称包含yagao,而且售价大于30元的商品
GET http://{{es-host}}/ecommerce/produce/_search
{
"query":{
"bool":{
"must":{
"match":{
"name":"yagao"
}
},
"filter":{
"range":{
"price":{
"gt":"30"
}
}
}
}
}
}返回结果：
{
"took": 88,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.25811607,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": 0.25811607,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}4、full-text search查询
准备数据：
PUT http://{{es-host}}/ecommerce/produce/4
{
"name":"special yagao",
"desc":"special meibai",
"price":"50",
"producer":"special yagao producer",
"tags":["meibai"]
}http://{{es-host}}/ecommerce/produce/_search
{
"query":{
"match":{
"producer":"yagao producer"
}
}
}检索时候会把"yagao producer" 分割成"yagao" 和"producer" 只要匹配上任何一个就是符合的数据
结果
{
"took": 20,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 0.70293105,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "4",
"_score": 0.70293105,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": "50",
"producer": "special yagao producer",
"tags": [
"meibai"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "1",
"_score": 0.25811607,
"_source": {
"name": "gaolujie yagao",
"desc": "gaolujie meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": 0.25811607,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "2",
"_score": 0.1805489,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
}
]
}
}最匹配的相关度评分高，会排在最前面。
5、phrase search查询
对要搜索的词不再分词
GET http://{{es-host}}/ecommerce/produce/_search
{
"query":{
"match_phrase":{
"producer":"yagao producer"
}
}
}结果：
{
"took": 33,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.70293105,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "4",
"_score": 0.70293105,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": "50",
"producer": "special yagao producer",
"tags": [
"meibai"
]
}
}
]
}
}6、highlight search查询
GET http://{{es-host}}/ecommerce/produce/_search
{
"query":{
"match":{
"name":"yagao"
}
},
"highlight":{
"fields":{
"name":{}
}
}
}结果：
{
"took": 16,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 0.25811607,
"hits": [
{
"_index": "ecommerce",
"_type": "produce",
"_id": "1",
"_score": 0.25811607,
"_source": {
"name": "gaolujie yagao",
"desc": "gaolujie meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
},
"highlight": {
"name": [
"gaolujie yagao"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "3",
"_score": 0.25811607,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhiwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
},
"highlight": {
"name": [
"zhonghua yagao"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "2",
"_score": 0.16358379,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao fangzhu",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
},
"highlight": {
"name": [
"jiajieshi yagao"
]
}
},
{
"_index": "ecommerce",
"_type": "produce",
"_id": "4",
"_score": 0.16358379,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": "50",
"producer": "special yagao producer",
"tags": [
"meibai"
]
},
"highlight": {
"name": [
"special yagao"
]
}
}
]
}
}关于ElasticSearch中如何使用多种搜索方式检索数据就分享到这里了，希望以上内容可以对大家有一定的帮助，可以学到更多知识。如果觉得文章不错，可以把它分享出去让更多的人看到。
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