以下命令均是在kibana的“Dev Tools”里面输入的
数据准备:
先存入3条数据
PUT /ecommerce/product/1
{
"name":"gaolujie yagao",
"desc":"gaoxiao meibai",
"price":30,
"producer":"gaolujie producer",
"tags":["meibai","fangzhu"]
}
PUT /ecommerce/product/2
{
"name":"jiajieshi yagao",
"desc":"youxiao meibai",
"price":25,
"producer":"jiajieshi producer",
"tags":["fangzhu"]
}
PUT /ecommerce/product/3
{
"name":"zhonghua yagao",
"desc":"caoben zhuwu",
"price":40,
"producer":"zhonghua producer",
"tags":["qingxin"]
}
es的搜索方式细分为6种
- query string search
- query DSL
- query filter
- full-text search
- phrase search
- highlight search
query string search
- 搜索所有商品
GET /ecommerce/product/_search
返回的结果及部分字段的解释
{
"took": 54, //花费的时间,单位毫秒
"timed_out": false, //是否超时, false表示没有超时
"_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": 3, //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的相关度的匹配数据,越相关,就越匹配,分数也越高
"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 meibai",
"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 zhuwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}
- 搜索商品名称中包含yaogao的商品,而且按照售价降序排序(此方法不常用)
GET /ecommerce/product/_search?q=name:yagao&sort=price:desc
结果:
{
"took": 46,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": null,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": null,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhuwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
},
"sort": [
40
]
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": null,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
},
"sort": [
30
]
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": null,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao meibai",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
},
"sort": [
25
]
}
]
}
}
query DSL(生产环境使用)
DSL:Domain Specified Language,特定领域的语言
- 查询所有商品
GET /ecommerce/product/_search
{
"query":{
"match_all":{}
}
}
结果与query string search查询所有商品的结果一致,不再列出
- 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"
}
]
}
结果与query string search查询并排序的结果一致,不再列出
- 分页查询商品,总共3条商品,假设每页显示1条商品,如果显示第二页,就会查出来第二个商品
GET /ecommerce/product/_search
{
"query":{
"match_all":{}
},
"from":1,//0表示从第一条开始,1表示从第二条开始
"size":1
}
- 指定要查询出来的商品名称和价格
GET /ecommerce/product/_search
{
"query":{
"match_all":{}
},
"_source": ["name","price"]
}
结果
{
"took": 17,
"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": {
"price": 25,
"name": "jiajieshi yagao"
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 1,
"_source": {
"price": 30,
"name": "gaolujie yagao"
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 1,
"_source": {
"price": 40,
"name": "zhonghua yagao"
}
}
]
}
}
query filter
- 搜索商品名称包括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
}
}
}
}
}
}
结果
{
"took": 16,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 0.25811607,
"hits": [
{
"_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 zhuwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
}
}
full-text search(全文检索)
添加新数据
PUT /ecommerce/product/4
{
"name":"special yagao",
"desc":"special meibai",
"price":50,
"producer":"special yagao producer",
"tags":["meibai"]
}
搜索
GET /ecommerce/product/_search
{
"query":{
"match":{
"producer":"yagao producer"
}
}
}
结果
{
"took": 7,
"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 zhuwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 0.1805489,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao meibai",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
}
}
]
}
}
phrase search(短语搜索)
跟全文检索相反,全文检索会将输入的搜索拆解开来,去倒排索引里去一一匹配,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,才可匹配,才能作为结果返回
GET /ecommerce/product/_search
{
"query":{
"match_phrase":{
"producer":"yagao producer"
}
}
}
结果
{
"took": 18,
"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"
]
}
}
]
}
}
highlight search(高亮搜索结果)
GET /ecommerce/product/_search
{
"query":{
"match":{
"producer":"producer"
}
},
"highlight":{
"fields":{
"producer":{}
}
}
}
结果
{
"took": 66,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 0.25811607,
"hits": [
{
"_index": "ecommerce",
"_type": "product",
"_id": "1",
"_score": 0.25811607,
"_source": {
"name": "gaolujie yagao",
"desc": "gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer",
"tags": [
"meibai",
"fangzhu"
]
},
"highlight": {
"producer": [
"gaolujie producer"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "3",
"_score": 0.25811607,
"_source": {
"name": "zhonghua yagao",
"desc": "caoben zhuwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
},
"highlight": {
"producer": [
"zhonghua producer"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "2",
"_score": 0.1805489,
"_source": {
"name": "jiajieshi yagao",
"desc": "youxiao meibai",
"price": 25,
"producer": "jiajieshi producer",
"tags": [
"fangzhu"
]
},
"highlight": {
"producer": [
"jiajieshi producer"
]
}
},
{
"_index": "ecommerce",
"_type": "product",
"_id": "4",
"_score": 0.14638957,
"_source": {
"name": "special yagao",
"desc": "special meibai",
"price": 50,
"producer": "special yagao producer",
"tags": [
"meibai"
]
},
"highlight": {
"producer": [
"special yagao producer"
]
}
}
]
}
}
更复杂的一些应用
- 计算每个tag下的商品数量
GET /ecommerce/product/_search
{
"aggs": {
"group_by_tags": {//这个key是自己起的
"terms": { "field": "tags" }//tags 是数据的key值
}
}
}
词语句回报异常
es5.2.0版本的解决方案:
将文本field的fielddata属性设置为true
PUT /ecommerce/_mapping/product
{
"properties": {
"tags": {
"type": "text",
"fielddata": true
}
}
}
结果:
{
"took": 5,
"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 meibai",
"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 zhuwu",
"price": 40,
"producer": "zhonghua producer",
"tags": [
"qingxin"
]
}
}
]
},
"aggregations": {
"group_by_tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "fangzhu",
"doc_count": 2
},
{
"key": "meibai",
"doc_count": 1
},
{
"key": "qingxin",
"doc_count": 1
}
]
}
}
}
- 对名称中包含yagao的商品,计算每个tag下的商品数量
GET /ecommerce/product/_search
{
"size": 0,//不显示搜索结果
"query": {
"match": {
"name": "yagao"
}
},
"aggs": {
"all_tags": {
"terms": {
"field": "tags"
}
}
}
}
结果:
{
"took": 6,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"all_tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "fangzhu",
"doc_count": 2
},
{
"key": "meibai",
"doc_count": 1
},
{
"key": "qingxin",
"doc_count": 1
}
]
}
}
}
- 先分组,再算每组的平均值,计算每个tag下的商品的平均价格
GET /ecommerce/product/_search
{
"size": 0,
"aggs" : {
"group_by_tags" : {
"terms" : { "field" : "tags" },
"aggs" : {
"avg_price" : {
"avg" : { "field" : "price" }
}
}
}
}
}
结果
{
"took": 5,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"group_by_tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "fangzhu",
"doc_count": 2,
"avg_price": {
"value": 27.5
}
},
{
"key": "meibai",
"doc_count": 1,
"avg_price": {
"value": 30
}
},
{
"key": "qingxin",
"doc_count": 1,
"avg_price": {
"value": 40
}
}
]
}
}
}
- 计算每个tag下的商品的平均价格,并且按照平均价格降序排序
GET /ecommerce/product/_search
{
"size": 0,
"aggs" : {
"all_tags" : {
"terms" : { "field" : "tags", "order": { "avg_price": "desc" } },
"aggs" : {
"avg_price" : {
"avg" : { "field" : "price" }
}
}
}
}
}
结果
{
"took": 20,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"all_tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "qingxin",
"doc_count": 1,
"avg_price": {
"value": 40
}
},
{
"key": "meibai",
"doc_count": 1,
"avg_price": {
"value": 30
}
},
{
"key": "fangzhu",
"doc_count": 2,
"avg_price": {
"value": 27.5
}
}
]
}
}
}
- 按照指定的价格范围区间进行分组,然后在每组内再按照tag进行分组,最后再计算每组的平均价格
GET /ecommerce/product/_search
{
"size": 0,
"aggs": {
"group_by_price": {
"range": {
"field": "price",
"ranges": [
{
"from": 0,
"to": 20
},
{
"from": 20,
"to": 40
},
{
"from": 40,
"to": 50
}
]
},
"aggs": {
"group_by_tags": {
"terms": {
"field": "tags"
},
"aggs": {
"average_price": {
"avg": {
"field": "price"
}
}
}
}
}
}
}
}
结果:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0,
"hits": []
},
"aggregations": {
"group_by_price": {
"buckets": [
{
"key": "0.0-20.0",
"from": 0,
"to": 20,
"doc_count": 0,
"group_by_tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": []
}
},
{
"key": "20.0-40.0",
"from": 20,
"to": 40,
"doc_count": 2,
"group_by_tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "fangzhu",
"doc_count": 2,
"avage_price": {
"value": 27.5
}
},
{
"key": "meibai",
"doc_count": 1,
"avage_price": {
"value": 30
}
}
]
}
},
{
"key": "40.0-60.0",
"from": 40,
"to": 60,
"doc_count": 1,
"group_by_tags": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "qingxin",
"doc_count": 1,
"avage_price": {
"value": 40
}
}
]
}
}
]
}
}
}