熬夜爆肝整理的一份elasticsearch中文文档手册
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es概括
Elaticsearch，简称为 ES， ES 是一个开源的高扩展的分布式全文搜索引擎，Elasticsearch 是面向文档型数据库，一条数据在这里就是一个文档。
基本要素
ES是一个文档型数据库，在与传统的关系型数据库上，存在着一定的差异。下面将ES里面涉及到的元素与关系型数据库进行一一对应。
| ElasticSearch | 索引(index) | 类型(type) | 文档(document) | 字段(field) |
|---|---|---|---|---|
| MySQL | 数据库(database) | 数据表(table) | 数据行(row) | 数据列(column) |
索引操作
创建索引
向 ES 服务器发 PUT 请求 ： http://127.0.0.1:9200/shopping。创建索引只能使用PUT请求，PUT是幂等性的，也就是说不存在的时候就会创建，存在的时候就不会重新创建而是返回索引已经存在的信息。
{
"acknowledged": true,//响应结果
"shards_acknowledged": true,//分片结果
"index": "shopping"//索引名称
}
查询索引
向 ES 服务器发 GET 请求 ： http://127.0.0.1:9200/shopping。
{
"shopping": {//索引名
"aliases": {},//别名
"mappings": {},//映射
"settings": {//设置
"index": {//设置 - 索引
"creation_date": "1617861426847",//设置 - 索引 - 创建时间
"number_of_shards": "1",//设置 - 索引 - 主分片数量
"number_of_replicas": "1",//设置 - 索引 - 主分片数量
"uuid": "J0WlEhh4R7aDrfIc3AkwWQ",//设置 - 索引 - 主分片数量
"version": {//设置 - 索引 - 主分片数量
"created": "7080099"
},
"provided_name": "shopping"//设置 - 索引 - 主分片数量
}
}
}
}
查看所有索引
向 ES 服务器发 GET 请求 ： http://127.0.0.1:9200/_cat/indices?v。
这里请求路径中的_cat 表示查看的意思， indices 表示索引，所以整体含义就是查看当前 ES服务器中的所有索引，就好像 MySQL 中的 show tables 的感觉，服务器响应结果如下 :
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
yellow open shopping J0WlEhh4R7aDrfIc3AkwWQ 1 1 0 0 208b 208b
删除索引
向 ES 服务器发 DELETE 请求 ： http://127.0.0.1:9200/shopping。
返回结果如下：
{
"acknowledged": true
}
文档操作
文档创建
假设索引已经创建好了，接下来我们来创建文档，并添加数据。这里的文档可以类比为关系型数据库中的表数据，添加的数据格式为 JSON 格式
在 Postman 中，向 ES 服务器发 POST 请求 ： http://127.0.0.1:9200/shopping/_doc，请求体JSON内容为：
{
"title":"小米手机",
"category":"小米",
"images":"http://www.gulixueyuan.com/xm.jpg",
"price":3999.00
}
返回结果
{
"_index": "shopping",//索引
"_type": "_doc",//类型-文档
"_id": "ANQqsHgBaKNfVnMbhZYU",//唯一标识，可以类比为 MySQL 中的主键，随机生成
"_version": 1,//版本
"result": "created",//结果，这里的 create 表示创建成功
"_shards": {//
"total": 2,//分片 - 总数
"successful": 1,//分片 - 总数
"failed": 0//分片 - 总数
},
"_seq_no": 0,
"_primary_term": 1
}
注意，此处发送文档创建请求的方式必须为 POST，不能是 PUT，否则会发生错误 。
上面的数据创建后，由于没有指定数据唯一性标识（ID），默认情况下， ES 服务器会随机生成一个。
如果想要自定义唯一性标识，需要在创建时指定： http://127.0.0.1:9200/shopping/_doc/1，请求体JSON内容为：
{
"title":"小米手机",
"category":"小米",
"images":"http://www.gulixueyuan.com/xm.jpg",
"price":3999.00
}
返回结果如下：
{
"_index": "shopping",
"_type": "_doc",
"_id": "1",//<-----自定义唯一性标识
"_version": 1,
"result": "created",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 1,
"_primary_term": 1
}
文档查询
查看文档时，需要指明文档的唯一性标识，类似于 MySQL 中数据的主键查询
在 Postman 中，向 ES 服务器发 GET 请求 ： http://127.0.0.1:9200/shopping/_doc/1 。
返回结果如下：
{
"_index": "shopping",
"_type": "_doc",
"_id": "1",
"_version": 1,
"_seq_no": 1,
"_primary_term": 1,
"found": true,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
}
查找不存在的内容，向 ES 服务器发 GET 请求 ： http://127.0.0.1:9200/shoppin...。返回结果如下：
{
"_index": "shopping",
"_type": "_doc",
"_id": "1001",
"found": false
}
查看索引下所有数据，向 ES 服务器发 GET 请求 ： http://127.0.0.1:9200/shopping/_search。
返回结果如下：
{
"took": 133,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 2,
"relation": "eq"
},
"max_score": 1,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "1",
"_score": 1,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
}
]
}
}
文档删除
删除一个文档不会立即从磁盘上移除，它只是被标记成已删除（逻辑删除）。
在 Postman 中，向 ES 服务器发 DELETE 请求 ： http://127.0.0.1:9200/shopping/_doc/1
返回结果：
{
"_index": "shopping",
"_type": "_doc",
"_id": "1",
"_version": 4,
"result": "deleted",//<---删除成功
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 4,
"_primary_term": 1
}
文档修改
全量修改
和新增文档一样，输入相同的 URL 地址请求，如果请求体变化，会将原有的数据内容覆盖
在 Postman 中，向 ES 服务器发 POST 请求 ： http://127.0.0.1:9200/shopping/_doc/1
请求体JSON内容为:
{
"title":"华为手机",
"category":"华为",
"images":"http://www.gulixueyuan.com/hw.jpg",
"price":1999.00
}
修改成功后，服务器响应结果：
{
"_index": "shopping",
"_type": "_doc",
"_id": "1",
"_version": 2,
"result": "updated",//<---updated 表示数据被更新
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 2,
"_primary_term": 1
}
局部更新
修改数据时，也可以只修改某一给条数据的局部信息
在 Postman 中，向 ES 服务器发 POST 请求 ： http://127.0.0.1:9200/shopping/_update/1。
请求体JSON内容为:
{
"doc": {
"title":"小米手机",
"category":"小米"
}
}
返回结果如下：
{
"_index": "shopping",
"_type": "_doc",
"_id": "1",
"_version": 3,
"result": "updated",//<----updated 表示数据被更新
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 3,
"_primary_term": 1
}
URL待条件查询
查找category为小米的文档，在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search?q=category:小米，返回结果如下：
{
"took": 94,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": 1.3862942,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1.3862942,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
......
]
}
}
上述为URL带参数形式查询，这很容易让不善者心怀恶意，或者参数值出现中文会出现乱码情况。为了避免这些情况，我们可用使用带JSON请求体请求进行查询。
请求体带参查询
接下带JSON请求体，还是查找category为小米的文档，在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"match":{
"category":"小米"
}
}
}
返回结果如下：
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": 1.3862942,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1.3862942,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
......
]
}
}
带请求体方式的查找所有内容
查找所有文档内容，也可以这样，在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下
{
"query":{
"match_all":{}
}
}
则返回所有文档内容：
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": 1,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
......
]
}
}
查询指定字段
如果你想查询指定字段，在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"match_all":{}
},
"_source":["title"]
}
返回结果如下：
{
"took": 5,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": 1,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1,
"_source": {
"title": "小米手机"
}
},
......
]
}
}
分页查询
在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"match_all":{}
},
"from":0,
"size":2
}
返回结果如下：
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": 1,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
]
}
}
查询排序
如果你想通过排序查出价格最高的手机，在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"match_all":{}
},
"sort":{
"price":{
"order":"desc"
}
}
}
返回结果如下：
{
"took": 96,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": null,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
},
"sort": [
3999
]
},
......
]
}
}
多条件查询
假设想找出小米牌子，价格为3999元的。（must相当于数据库的&&）,在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"bool":{
"must":[{
"match":{
"category":"小米"
}
},{
"match":{
"price":3999.00
}
}]
}
}
}
返回结果如下：
{
"took": 134,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 2.3862944,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 2.3862944,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
}
]
}
}
假设想找出小米和华为的牌子。（should相当于数据库的||）在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"bool":{
"should":[{
"match":{
"category":"小米"
}
},{
"match":{
"category":"华为"
}
}]
},
"filter":{
"range":{
"price":{
"gt":2000
}
}
}
}
}
返回结果如下：
{
"took": 8,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": 1.3862942,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1.3862942,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
.....
]
}
}
范围查询
假设想找出小米和华为的牌子，价格大于2000元的手机。在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"bool":{
"should":[{
"match":{
"category":"小米"
}
},{
"match":{
"category":"华为"
}
}],
"filter":{
"range":{
"price":{
"gt":2000
}
}
}
}
}
}
返回结果如下：
{
"took": 72,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 1.3862942,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1.3862942,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
}
]
}
}
全文检索
这功能像搜索引擎那样，如品牌输入“小华”，返回结果带回品牌有“小米”和华为的。在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"match":{
"category" : "小华"
}
}
}
返回结果如下：
{
"took": 7,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": 0.6931471,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 0.6931471,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
......
{
"_index": "shopping",
"_type": "_doc",
"_id": "BtR6sHgBaKNfVnMbX5Y5",
"_score": 0.6931471,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
}
},
......
]
}
}
完全匹配
在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"match_phrase":{
"category" : "为"
}
}
}
返回结果如下：
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": 0.6931471,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "BtR6sHgBaKNfVnMbX5Y5",
"_score": 0.6931471,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
}
},
......
]
}
}
高亮查询
在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"query":{
"match_phrase":{
"category" : "为"
}
},
"highlight":{
"fields":{
"category":{}//<----高亮这字段
}
}
}
返回结果如下：
{
"took": 100,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": 0.6931471,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "BtR6sHgBaKNfVnMbX5Y5",
"_score": 0.6931471,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
},
"highlight": {
"category": [
"华为"//<------高亮一个为字。
]
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "B9R6sHgBaKNfVnMbZpZ6",
"_score": 0.6931471,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
},
"highlight": {
"category": [
"华为"
]
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "CdR7sHgBaKNfVnMbsJb9",
"_score": 0.6931471,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
},
"highlight": {
"category": [
"华为"
]
}
}
]
}
}
分组查询
在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"aggs":{//聚合操作
"price_group":{//名称，随意起名
"terms":{//分组
"field":"price"//分组字段
}
}
}
}
返回结果如下：
{
"took": 63,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": 1,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "ANQqsHgBaKNfVnMbhZYU",
"_score": 1,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 3999
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "A9R5sHgBaKNfVnMb25Ya",
"_score": 1,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "BNR5sHgBaKNfVnMb7pal",
"_score": 1,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "BtR6sHgBaKNfVnMbX5Y5",
"_score": 1,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "B9R6sHgBaKNfVnMbZpZ6",
"_score": 1,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "CdR7sHgBaKNfVnMbsJb9",
"_score": 1,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://www.gulixueyuan.com/xm.jpg",
"price": 1999
}
}
]
},
"aggregations": {
"price_group": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1999,
"doc_count": 5
},
{
"key": 3999,
"doc_count": 1
}
]
}
}
}
上面返回结果会附带原始数据的。若不想要不附带原始数据的结果，在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"aggs":{
"price_group":{
"terms":{
"field":"price"
}
}
},
"size":0
}
返回结果如下：
{
"took": 60,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": null,
"hits": []
},
"aggregations": {
"price_group": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": 1999,
"doc_count": 5
},
{
"key": 3999,
"doc_count": 1
}
]
}
}
}
查询平均值
在 Postman 中，向 ES 服务器发 GET请求 ： http://127.0.0.1:9200/shopping/_search，附带JSON体如下：
{
"aggs":{
"price_avg":{//名称，随意起名
"avg":{//求平均
"field":"price"
}
}
},
"size":0
}
返回结果如下：
{
"took": 14,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 6,
"relation": "eq"
},
"max_score": null,
"hits": []
},
"aggregations": {
"price_avg": {
"value": 2332.3333333333335
}
}
}
映射关系
有了索引库，等于有了数据库中的 database。接下来就需要建索引库(index)中的映射了，类似于数据库(database)中的表结构(table)。创建数据库表需要设置字段名称，类型，长度，约束等；索引库也一样，需要知道这个类型下有哪些字段，每个字段有哪些约束信息，这就叫做映射(mapping)。
先创建一个索引：
# PUT http://127.0.0.1:9200/user
返回结果：
{
"acknowledged": true,
"shards_acknowledged": true,
"index": "user"
}
创建映射
# PUT http://127.0.0.1:9200/user/_mapping
{
"properties": {
"name":{
"type": "text",
"index": true
},
"sex":{
"type": "keyword",
"index": true
},
"tel":{
"type": "keyword",
"index": false
}
}
}
返回结果如下：
{
"acknowledged": true
}
查询映射
#GET http://127.0.0.1:9200/user/_mapping
返回结果如下：
{
"user": {
"mappings": {
"properties": {
"name": {
"type": "text"
},
"sex": {
"type": "keyword"
},
"tel": {
"type": "keyword",
"index": false
}
}
}
}
}
增加数据
#PUT http://127.0.0.1:9200/user/_create/1001
{
"name":"小米",
"sex":"男的",
"tel":"1111"
}
返回结果如下：
{
"_index": "user",
"_type": "_doc",
"_id": "1001",
"_version": 1,
"result": "created",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 0,
"_primary_term": 1
}
查找name含有”小“数据：
#GET http://127.0.0.1:9200/user/_search
{
"query":{
"match":{
"name":"小"
}
}
}
返回结果如下：
{
"took": 495,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.2876821,
"hits": [
{
"_index": "user",
"_type": "_doc",
"_id": "1001",
"_score": 0.2876821,
"_source": {
"name": "小米",
"sex": "男的",
"tel": "1111"
}
}
]
}
}
查找sex含有”男“数据：
#GET http://127.0.0.1:9200/user/_search
{
"query":{
"match":{
"sex":"男"
}
}
}
返回结果如下：
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 0,
"relation": "eq"
},
"max_score": null,
"hits": []
}
}
找不想要的结果，只因创建映射时"sex"的类型为"keyword"。"sex"只能完全为”男的“，才能得出原数据。
#GET http://127.0.0.1:9200/user/_search
{
"query":{
"match":{
"sex":"男的"
}
}
}
返回结果如下：
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.2876821,
"hits": [
{
"_index": "user",
"_type": "_doc",
"_id": "1001",
"_score": 0.2876821,
"_source": {
"name": "小米",
"sex": "男的",
"tel": "1111"
}
}
]
}
}
查询电话
# GET http://127.0.0.1:9200/user/_search
{
"query":{
"match":{
"tel":"11"
}
}
}
返回结果如下：
{
"error": {
"root_cause": [
{
"type": "query_shard_exception",
"reason": "failed to create query: Cannot search on field [tel] since it is not indexed.",
"index_uuid": "ivLnMfQKROS7Skb2MTFOew",
"index": "user"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "user",
"node": "4P7dIRfXSbezE5JTiuylew",
"reason": {
"type": "query_shard_exception",
"reason": "failed to create query: Cannot search on field [tel] since it is not indexed.",
"index_uuid": "ivLnMfQKROS7Skb2MTFOew",
"index": "user",
"caused_by": {
"type": "illegal_argument_exception",
"reason": "Cannot search on field [tel] since it is not indexed."
}
}
}
]
},
"status": 400
}
报错只因创建映射时"tel"的"index"为false。