Elasticsearch 核心技术（八）：常用 DSL 查询（全文搜索、精确匹配、布尔查询）
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文章目录
- 一、全文搜索
-
- 1.1 查询所有（match_all）
- 1.2 全文检索（match）
- 1.3 多字段全文检索（multi_match）
- 二、精确匹配
-
- 2.1 精确查询（term）
- 2.2 精确查询（terms）
- 2.3 主键查询（ids）
- 2.4 范围查询（range）
- 三、布尔查询（bool）
-
- 3.1 必须匹配（must）
- 3.2 可以匹配（should）
- 3.3 不匹配（must_not）
- 3.4 过滤器（filter）
- 附录
-
- 附录一：mt_product 索引 demo 脚本
- 附录二：mt_product 数据 demo 脚本
- 系列文章
- 热门专栏
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Elasticsearch 提供了一个完整的基于 JSON 的 DSL（Domain Specific Language，领域特定语言） 查询语言，它非常的丰富和灵活，并支持构建更加复杂和健壮的查询。
本篇我们主要讲述常用的三种 DSL 查询：全文搜索、精确匹配、布尔查询。
一、全文搜索
全文搜索是 Elasticsearch 的核心功能，在创建索引时要将字段映射设为
text类型，并可指定分词器，我们方可使用该功能。关于数据类型和分词器可以参考之前的一些文章，这里不再赘述。
1.1 查询所有（match_all）
可以使用 match_all 来查询指定索引下的所有文档，下面例子查询“my_product”字段中所有文档：
GET /mt_product/_search
{
"query": {
"match_all": {}
}
}
响应结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 12,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"id" : 1,
"name" : "招牌海苔单人餐",
"tags" : [
"寿司"
],
"price" : 9.9,
"sales" : 1000,
"score" : 4.7,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:01:00"
}
},
...
]
}
}
1.2 全文检索（match）
可以使用 match 进行全文搜索匹配（类似于 SQL 中的 like %%），搜索的字段类型要是 text 类型才能生效。下例中搜索"my_product"索引，搜索字段使用 “name”：
GET /mt_product/_search
{
"query": {
"match": {
"name": "好吃的寿司"
}
}
}
响应：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 1.7955686,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "3",
"_score" : 1.7955686,
"_source" : {
"id" : 3,
"name" : "三文鱼寿司",
"tags" : [
"寿司,鱼肉"
],
"price" : 16.9,
"sales" : 820,
"score" : 4.9,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:03:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "4",
"_score" : 1.6760855,
"_source" : {
"id" : 4,
"name" : "极上全品寿司套餐",
"tags" : [
"寿司"
],
"price" : 25,
"sales" : 1500,
"score" : 4.6,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:04:00"
}
}
]
}
}
1.3 多字段全文检索（multi_match）
有的时候同一个搜索请求，要应用到多个字段上，那么使用 multi_match 即可实现，如下例：
GET /mt_product/_search
{
"query": {
"multi_match": {
"query": "好吃的寿司",
"fields": ["name", "store_name"]
}
}
}
响应：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 4,
"relation" : "eq"
},
"max_score" : 1.7955686,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "3",
"_score" : 1.7955686,
"_source" : {
"id" : 3,
"name" : "三文鱼寿司",
"tags" : [
"寿司,鱼肉"
],
"price" : 16.9,
"sales" : 820,
"score" : 4.9,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:03:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "4",
"_score" : 1.6760855,
"_source" : {
"id" : 4,
"name" : "极上全品寿司套餐",
"tags" : [
"寿司"
],
"price" : 25,
"sales" : 1500,
"score" : 4.6,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:04:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "1",
"_score" : 0.84174097,
"_source" : {
"id" : 1,
"name" : "招牌海苔单人餐",
"tags" : [
"寿司"
],
"price" : 9.9,
"sales" : 1000,
"score" : 4.7,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:01:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "2",
"_score" : 0.84174097,
"_source" : {
"id" : 2,
"name" : "1-2人招牌双拼套餐",
"tags" : [
"寿司"
],
"price" : 18.9,
"sales" : 1200,
"score" : 4.8,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:02:00"
}
}
]
}
}
二、精确匹配
精确匹配应用查找结构化的数据，一般使用 keyword 类型，应避免使用 text 类型。
2.1 精确查询（term）
根据精确值进行查询，类似于 SQL 中的 = ，示例：
GET /mt_product/_search
{
"query": {
"term": {
"store_id": {
"value": "1"
}
}
}
}
响应结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 1.6486585,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "1",
"_score" : 1.6486585,
"_source" : {
"id" : 1,
"name" : "招牌海苔单人餐",
"tags" : [
"寿司"
],
"price" : 9.9,
"sales" : 1000,
"score" : 4.7,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:01:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "2",
"_score" : 1.6486585,
"_source" : {
"id" : 2,
"name" : "1-2人招牌双拼套餐",
"tags" : [
"寿司"
],
"price" : 18.9,
"sales" : 1200,
"score" : 4.8,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:02:00"
}
}
]
}
}
2.2 精确查询（terms）
terms 可以匹配多个值，类似于 SQL 中的 in(...)，示例：
GET /mt_product/_search
{
"query": {
"terms": {
"store_id": [1, 2]
}
}
}
响应结果：
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 4,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"id" : 1,
"name" : "招牌海苔单人餐",
"tags" : [
"寿司"
],
"price" : 9.9,
"sales" : 1000,
"score" : 4.7,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:01:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "2",
"_score" : 1.0,
"_source" : {
"id" : 2,
"name" : "1-2人招牌双拼套餐",
"tags" : [
"寿司"
],
"price" : 18.9,
"sales" : 1200,
"score" : 4.8,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:02:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "3",
"_score" : 1.0,
"_source" : {
"id" : 3,
"name" : "三文鱼寿司",
"tags" : [
"寿司,鱼肉"
],
"price" : 16.9,
"sales" : 820,
"score" : 4.9,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:03:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "4",
"_score" : 1.0,
"_source" : {
"id" : 4,
"name" : "极上全品寿司套餐",
"tags" : [
"寿司"
],
"price" : 25,
"sales" : 1500,
"score" : 4.6,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:04:00"
}
}
]
}
}
2.3 主键查询（ids）
根据多个主键查询，类似于 SQL 中的 id in (...)，示例：
GET /mt_product/_search
{
"query": {
"ids": {
"values": [10, 11]
}
}
}
响应结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "10",
"_score" : 1.0,
"_source" : {
"id" : 10,
"name" : "双层原味板烧鸡腿麦满分四件套",
"tags" : [
"汉堡,鸡肉"
],
"price" : 29,
"sales" : 3000,
"score" : 4.8,
"store_id" : 5,
"store_name" : "麦当劳",
"create_time" : "2023-01-18 08:10:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "11",
"_score" : 1.0,
"_source" : {
"id" : 11,
"name" : "火腿扒麦满分组合",
"tags" : [
"汉堡"
],
"price" : 8,
"sales" : 100000,
"score" : 4.9,
"store_id" : 5,
"store_name" : "麦当劳",
"create_time" : "2023-01-18 08:11:00"
}
}
]
}
}
2.4 范围查询（range）
查找一个范围，类似于 SQL 中的 >、≥、<、≤，示例：
GET /mt_product/_search
{
"query": {
"range": {
"price": {
"gte": 10,
"lte": 20
}
}
}
}
响应结果：
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 3,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "2",
"_score" : 1.0,
"_source" : {
"id" : 2,
"name" : "1-2人招牌双拼套餐",
"tags" : [
"寿司"
],
"price" : 18.9,
"sales" : 1200,
"score" : 4.8,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:02:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "3",
"_score" : 1.0,
"_source" : {
"id" : 3,
"name" : "三文鱼寿司",
"tags" : [
"寿司,鱼肉"
],
"price" : 16.9,
"sales" : 820,
"score" : 4.9,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:03:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "9",
"_score" : 1.0,
"_source" : {
"id" : 9,
"name" : "霸道小酥鸡+薯霸王",
"tags" : [
"汉堡,鸡肉"
],
"price" : 19,
"sales" : 300,
"score" : 4.2,
"store_id" : 4,
"store_name" : "汉堡王",
"create_time" : "2023-01-18 08:09:00"
}
}
]
}
}
三、布尔查询（bool）
布尔查询就是一个或多个子句的组合，每一个子句都是一个子查询，根据组合的方式可分为下面几种类型：
must：必须匹配每个子句，类似于 SQL 中的and，参与评分。should：可以匹配任意子句，类似于 SQL 中的or，参与评分。must_not：必须不匹配每个子类，类似于 SQL中的not in，不参与评分。filter：过滤上下文，它与must的不同之处是不会影响匹配文档的分数。
3.1 必须匹配（must）
我们要查询 tag 为“寿司”，并且价格小于等于 15 块钱，就可以使用这样：
GET /mt_product/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"tags": "寿司"
}
},{
"range": {
"price": {
"lte": 15
}
}
}
]
}
}
}
响应结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 2.228378,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "1",
"_score" : 2.228378,
"_source" : {
"id" : 1,
"name" : "招牌海苔单人餐",
"tags" : [
"寿司"
],
"price" : 9.9,
"sales" : 1000,
"score" : 4.7,
"store_id" : 1,
"store_name" : "M多寿司",
"create_time" : "2023-01-18 08:01:00"
}
}
]
}
}
3.2 可以匹配（should）
查询 tag 为“鱼肉”，或者 store_name 为“麦当劳”，可以这样查询：
GET /mt_product/_search
{
"query": {
"bool": {
"should": [
{
"match": {
"tags": "鱼肉"
}
},{
"match": {
"store_name": "麦当劳"
}
}
]
}
}
}
响应结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 4,
"relation" : "eq"
},
"max_score" : 1.9003463,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "3",
"_score" : 1.9003463,
"_source" : {
"id" : 3,
"name" : "三文鱼寿司",
"tags" : [
"寿司,鱼肉"
],
"price" : 16.9,
"sales" : 820,
"score" : 4.9,
"store_id" : 2,
"store_name" : "爱食寿司",
"create_time" : "2023-01-18 08:03:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "10",
"_score" : 1.6119244,
"_source" : {
"id" : 10,
"name" : "双层原味板烧鸡腿麦满分四件套",
"tags" : [
"汉堡,鸡肉"
],
"price" : 29,
"sales" : 3000,
"score" : 4.8,
"store_id" : 5,
"store_name" : "麦当劳",
"create_time" : "2023-01-18 08:10:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "11",
"_score" : 1.6119244,
"_source" : {
"id" : 11,
"name" : "火腿扒麦满分组合",
"tags" : [
"汉堡"
],
"price" : 8,
"sales" : 100000,
"score" : 4.9,
"store_id" : 5,
"store_name" : "麦当劳",
"create_time" : "2023-01-18 08:11:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "12",
"_score" : 1.6119244,
"_source" : {
"id" : 12,
"name" : "原味板烧鸡腿麦满组件",
"tags" : [
"汉堡,鸡肉"
],
"price" : 9.9,
"sales" : 140000,
"score" : 4.9,
"store_id" : 5,
"store_name" : "麦当劳",
"create_time" : "2023-01-18 08:12:00"
}
}
]
}
}
3.3 不匹配（must_not）
查询 store_name 不是“麦当劳”，并且 tags 不包含“寿司”，可以这样查询：
GET /mt_product/_search
{
"query": {
"bool": {
"must_not": [
{
"match": {
"store_name": "麦当劳"
}
},{
"match": {
"tags": "寿司"
}
}
]
}
}
}
响应结果：
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 5,
"relation" : "eq"
},
"max_score" : 0.0,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "5",
"_score" : 0.0,
"_source" : {
"id" : 5,
"name" : "劲脆鸡腿汉堡",
"tags" : [
"汉堡,鸡肉"
],
"price" : 21.5,
"sales" : 200,
"score" : 4.5,
"store_id" : 3,
"store_name" : "肯德基",
"create_time" : "2023-01-18 08:05:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "6",
"_score" : 0.0,
"_source" : {
"id" : 6,
"name" : "香辣鸡腿汉堡",
"tags" : [
"汉堡,鸡肉"
],
"price" : 21.5,
"sales" : 98,
"score" : 4.4,
"store_id" : 3,
"store_name" : "肯德基",
"create_time" : "2023-01-18 08:06:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "7",
"_score" : 0.0,
"_source" : {
"id" : 7,
"name" : "20块香辣鸡翅",
"tags" : [
"鸡肉"
],
"price" : 99,
"sales" : 5,
"score" : 4.8,
"store_id" : 3,
"store_name" : "肯德基",
"create_time" : "2023-01-18 08:07:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "8",
"_score" : 0.0,
"_source" : {
"id" : 8,
"name" : "3层芝士年堡套餐",
"tags" : [
"汉堡"
],
"price" : 29,
"sales" : 4000,
"score" : 4.9,
"store_id" : 4,
"store_name" : "汉堡王",
"create_time" : "2023-01-18 08:08:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "9",
"_score" : 0.0,
"_source" : {
"id" : 9,
"name" : "霸道小酥鸡+薯霸王",
"tags" : [
"汉堡,鸡肉"
],
"price" : 19,
"sales" : 300,
"score" : 4.2,
"store_id" : 4,
"store_name" : "汉堡王",
"create_time" : "2023-01-18 08:09:00"
}
}
]
}
}
3.4 过滤器（filter）
filter 过滤的结果不会影响原查询的得分。比如我们在上一条查询的基础上，增加 store_name 为“汉堡王”，其查询结果的得分，与上一条查询的得分是一样的。
GET /mt_product/_search
{
"query": {
"bool": {
"must_not": [
{
"match": {
"store_name": "麦当劳"
}
},{
"match": {
"tags": "寿司"
}
}
],
"filter": [
{
"match": {
"store_name": "汉堡王"
}
}
]
}
}
}
响应结果：
{
"took" : 6,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 0.0,
"hits" : [
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "8",
"_score" : 0.0,
"_source" : {
"id" : 8,
"name" : "3层芝士年堡套餐",
"tags" : [
"汉堡"
],
"price" : 29,
"sales" : 4000,
"score" : 4.9,
"store_id" : 4,
"store_name" : "汉堡王",
"create_time" : "2023-01-18 08:08:00"
}
},
{
"_index" : "mt_product",
"_type" : "_doc",
"_id" : "9",
"_score" : 0.0,
"_source" : {
"id" : 9,
"name" : "霸道小酥鸡+薯霸王",
"tags" : [
"汉堡,鸡肉"
],
"price" : 19,
"sales" : 300,
"score" : 4.2,
"store_id" : 4,
"store_name" : "汉堡王",
"create_time" : "2023-01-18 08:09:00"
}
}
]
}
}
附录
附录一：mt_product 索引 demo 脚本
PUT mt_product
{
"mappings": {
"properties": {
"id": {
"type": "long"
},
"name": {
"type": "text",
"analyzer": "ik_max_word"
},
"tags": {
"type": "text",
"analyzer": "ik_max_word"
},
"price": {
"type": "float"
},
"sales": {
"type": "integer"
},
"score": {
"type": "float"
},
"store_id": {
"type": "keyword"
},
"store_name": {
"type": "text",
"analyzer": "ik_max_word"
},
"create_time": {
"type": "date"
}
}
}
}
附录二：mt_product 数据 demo 脚本
POST /mt_product/_doc/1
{
"id": 1,
"name": "招牌海苔单人餐",
"tags": ["寿司"],
"price": 9.9,
"sales": 1000,
"score": 4.7,
"store_id": 1,
"store_name": "M多寿司",
"create_time": "2023-01-18 08:01:00"
}
POST /mt_product/_doc/2
{
"id": 2,
"name": "1-2人招牌双拼套餐",
"tags": ["寿司"],
"price": 18.9,
"sales": 1200,
"score": 4.8,
"store_id": 1,
"store_name": "M多寿司",
"create_time": "2023-01-18 08:02:00"
}
POST /mt_product/_doc/3
{
"id": 3,
"name": "三文鱼寿司",
"tags": ["寿司,鱼肉"],
"price": 16.9,
"sales": 820,
"score": 4.9,
"store_id": 2,
"store_name": "爱食寿司",
"create_time": "2023-01-18 08:03:00"
}
POST /mt_product/_doc/4
{
"id": 4,
"name": "极上全品寿司套餐",
"tags": ["寿司"],
"price": 25,
"sales": 1500,
"score": 4.6,
"store_id": 2,
"store_name": "爱食寿司",
"create_time": "2023-01-18 08:04:00"
}
POST /mt_product/_doc/5
{
"id": 5,
"name": "劲脆鸡腿汉堡",
"tags": ["汉堡,鸡肉"],
"price": 21.5,
"sales": 200,
"score": 4.5,
"store_id": 3,
"store_name": "肯德基",
"create_time": "2023-01-18 08:05:00"
}
POST /mt_product/_doc/6
{
"id": 6,
"name": "香辣鸡腿汉堡",
"tags": ["汉堡,鸡肉"],
"price": 21.5,
"sales": 98,
"score": 4.4,
"store_id": 3,
"store_name": "肯德基",
"create_time": "2023-01-18 08:06:00"
}
POST /mt_product/_doc/7
{
"id": 7,
"name": "20块香辣鸡翅",
"tags": ["鸡肉"],
"price": 99,
"sales": 5,
"score": 4.8,
"store_id": 3,
"store_name": "肯德基",
"create_time": "2023-01-18 08:07:00"
}
POST /mt_product/_doc/8
{
"id": 8,
"name": "3层芝士年堡套餐",
"tags": ["汉堡"],
"price": 29,
"sales": 4000,
"score": 4.9,
"store_id": 4,
"store_name": "汉堡王",
"create_time": "2023-01-18 08:08:00"
}
POST /mt_product/_doc/9
{
"id": 9,
"name": "霸道小酥鸡+薯霸王",
"tags": ["汉堡,鸡肉"],
"price": 19,
"sales": 300,
"score": 4.2,
"store_id": 4,
"store_name": "汉堡王",
"create_time": "2023-01-18 08:09:00"
}
POST /mt_product/_doc/10
{
"id": 10,
"name": "双层原味板烧鸡腿麦满分四件套",
"tags": ["汉堡,鸡肉"],
"price": 29,
"sales": 3000,
"score": 4.8,
"store_id": 5,
"store_name": "麦当劳",
"create_time": "2023-01-18 08:10:00"
}
POST /mt_product/_doc/11
{
"id": 11,
"name": "火腿扒麦满分组合",
"tags": ["汉堡"],
"price": 8,
"sales": 100000,
"score": 4.9,
"store_id": 5,
"store_name": "麦当劳",
"create_time": "2023-01-18 08:11:00"
}
POST /mt_product/_doc/12
{
"id": 12,
"name": "原味板烧鸡腿麦满组件",
"tags": ["汉堡,鸡肉"],
"price": 9.9,
"sales": 140000,
"score": 4.9,
"store_id": 5,
"store_name": "麦当劳",
"create_time": "2023-01-18 08:12:00"
}
系列文章
Elasticsearch 核心技术（一）：Elasticsearch 安装、配置、运行（Windows 版）
Elasticsearch 核心技术（二）：elasticsearch-head 插件安装和使用
Elasticsearch 核心技术（三）：Kibana 安装、配置、运行（Windows 版）
Elasticsearch 核心技术（四）：索引管理、映射管理、文档管理（REST API）
Elasticsearch 核心技术（五）：常用数据类型详解
Elasticsearch 核心技术（六）：内置的 8 种分词器详解 + 代码示例
Elasticsearch 核心技术（七）：IK 中文分词器的安装、使用、自定义字典
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