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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<em>为</em>"//<------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<em>为</em>" ] } }, { "_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<em>为</em>" ] } } ] } }
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。
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