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elasticsearch 索引文档相关操作_elasticsearch查看索引内容

作者：羊村懒王 | 2024-04-28 19:01:16

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elasticsearch查看索引内容

一、elasticsearch服务，节点，索引状态查询

1. 查询集群健康状况

GET /_cat/health?v

2. 查询节点信息

GET /_cat/nodes?v

3. 查询索引信息

GET /_cat/indices?v

二、索引相关操作

1. 创建索引，使用默认配置

PUT /test

默认信息如下，如果没有向索引中插入数据，mappings为空

2. 创建索引，并设置配置


#设置副本数和分片数
PUT /test
{
  "settings": {
    "number_of_replicas": 2,
    "number_of_shards": 2
  }
}

3. 创建索引，配置mapping信息，这里指定了索引中的字段信息，并设置类型和分词器，只有text类型的数据会被分词，其他的不会分词。index表示是否可以被索引，store表示是否存储，analyzer表示指定分词器，search_analyzer表示搜索的时候使用的分词器


PUT /test
{
  "mappings": {
    "properties": {
      "id": {
        "type": "long",
        "index": true,
        "store": true
      },
      "name":{
        "type": "text",
        "analyzer": "ik_smart"
      },
      "age":{
        "type": "integer"
      },
      "sex":{
        "type": "keyword"
      },
      "address":{
        "type": "text",
        "analyzer": "ik_smart",
        "search_analyzer": "ik_smart"
      }
    }
  }
}

4. 查看索引信息

GET /test

5. 查看索引settings

GET /test/_settings

6. 查看索引mappings

GET /test/_mapping

7. 删除索引

DELETE /test

8. 对已存在的mapping映射进行修改


#将现在的索引导入到新索引中
POST _reindex
{
  "source": {
    "index": "goods"
  },
  "dest": {
    "index": "goods_new"
  }
}
 
#删除旧索引
DELETE /goods
 
#为新索引起别名
PUT /goods_new/_alias/goods
 
#用旧的索引名可以进行搜索
GET /goods/_search
{
  "query": {
    "match_all": {}
  }
}

三、文档的相关操作

1. PUT方式插入文档（带id），带id多次执行相当于update，每次_version这个字段会增长1


PUT /test/_doc/1 
{
  "name":"张三",
  "age":21,
  "address":"湖北武汉光谷步行街"
}

2. POST方式插入文档（不带id），会自动生成id， "_id" : "SryEF4MBkmasSwCPbBDo",


POST /test/_doc
{
  "name":"李四",
  "age":31,
  "address":"深圳南山区生态科技园"
}

3. POST 方式插入文档（带id），执行多次也是update操作，每次_version这个字段会增长1


POST /test/_doc/2
{
  "name":"王五",
  "age":51,
  "address":"江苏南京"
}

4. 文档更新，除了 PUT 和POST 带id操作，还可以用update


POST /test/_update/1
{
  "doc": {
    "name":"张三三"
  }
}

5. 根据id查询文档信息

GET /test/_doc/1

6. 删除文档，注意：删除文档后，再使用同样的id，PUT

DELETE /test/_doc/1

7. 指定mappings的索引，插入不存在的字段会更新mappings，这里插入了gender，city


POST /test/_doc
{
  "name":"Jack",
  "age":22,
  "address":"上海浦东",
  "gender":"男",
  "city":"上海"
}

8. 批量操作创建


POST /test/_bulk
{"create":{"_id":"1"}}
{"name":"批量1","age":121,"address":"地址1"}
{"create":{"_id":"2"}}
{"name":"批量2","age":122,"address":"地址2"}
{"create":{"_id":"3"}}
{"name":"批量3","age":123,"address":"地址3"}

9. 批量操作更新


POST /test/_bulk
{"update":{"_id":"1"}}
{"doc":{"name":"更新批量1"}}
{"update":{"_id":"2"}}
{"doc":{"name":"更新批量2","age":12}}

10. 批量操作删除


POST /test/_bulk 
{"delete":{"_id":"1"}}
{"delete":{"_id":"2"}}

11. 批量组合操作


POST /test/_bulk
{"create":{"_id":"4"}}
{"name":"综合批量操作","age":34}
{"update":{"_id":3}}
{"doc":{"name":"综合操作更新"}}
{"delete":{"_id":"JbzUFoMBkmasSwCPFxAT"}}

四、分词器使用


GET /_analyze
{
  "text": "你好啊 中国!",
  "analyzer": "ik_smart"
}
 
GET /_analyze
{
  "text": "你好啊 中国!",
  "analyzer": "ik_max_word"
}
 
GET /_analyze
{
  "text": "你好啊 中国!",
  "analyzer": "standard"
}
 
 
GET /_analyze
{
  "text": "你好啊 中国!",
  "analyzer": "simple"
}
 
# 根据空格分词
GET /_analyze
{
  "text": "你好啊 中国!",
  "analyzer": "whitespace"
}

五、搜索（DSL语言高级查询）

索引和数据的准备


PUT /goods
{
  "mappings": {
    "properties": {
      "skuId":{
        "type": "long",
        "index": true,
        "store": true
      },
      "spuId":{
        "type": "long"
      },
      "skuTitle":{
        "type": "text",
        "analyzer": "ik_smart"
      },
      "skuPrice":{
        "type": "double"
      },
      "saleCount":{
        "type": "long"
      },
      "hasStock":{
        "type": "boolean"
      },
      "brandId":{
        "type": "long"
      },
      "categoryId":{
        "type": "long"
      },
      "brandName":{
        "type": "keyword",
        "index": true,
        "store": true
      },
      "catagoryName":{
        "type": "keyword"
      },
      "attrs":{
         "type": "nested",
         "include_in_parent":true, 
         "properties": {
          "attrId":{
            "type":"long"
          },
          "attrValue":{
            "type":"text"
          },
          "attrName":{
            "type":"text",
            "analyzer": "standard"
          }
        }
      }
    }
  }
}


POST /goods/_bulk
{"create":{"_id":2}}
{ "skuId":1002, "spuId":10002, "skuTitle":"HUAWEI/华为手机畅享50 Pro", "skuPrice":1619, "saleCount":6245, "hasStock": true, "brandId":102,"brandName":"华为", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"5.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"800" },{ "attrId":3,"attrName":"电池容量", "attrValue":"4000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"8G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"128G" }]}
{"create":{"_id":3}}
{ "skuId":1002, "spuId":10003, "skuTitle":"HUAWEI/华为手机畅享50 Pro", "skuPrice":1819, "saleCount":4245, "hasStock": true, "brandId":102,"brandName":"华为", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"800" },{ "attrId":3,"attrName":"电池容量", "attrValue":"4000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"8G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"256G" }]}
{"create":{"_id":4}}
{ "skuId":1002, "spuId":10004, "skuTitle":"HUAWEI/华为手机畅享50 Pro", "skuPrice":2019, "saleCount":7285, "hasStock": true, "brandId":102,"brandName":"华为", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"1200" },{ "attrId":3,"attrName":"电池容量", "attrValue":"5000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"16G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"512G" }]}
{"create":{"_id":5}}
{ "skuId":1001, "spuId":10005, "skuTitle":"小米红米手机Redmi 10A 5000mAh大电量大屏", "skuPrice":899, "saleCount":99899, "hasStock": true, "brandId":101,"brandName":"小米", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"5.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"800" },{ "attrId":3,"attrName":"电池容量", "attrValue":"5000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"16G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"128G" }]}
{"create":{"_id":6}}
{ "skuId":1001, "spuId":10006, "skuTitle":"小米红米手机Redmi 10A 5000mAh大电量大屏", "skuPrice":1299, "saleCount":10202, "hasStock": true, "brandId":101,"brandName":"小米", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"5.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"1200" },{ "attrId":3,"attrName":"电池容量", "attrValue":"5000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"16G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"256G" }]}
{"create":{"_id":7}}
{ "skuId":1001, "spuId":10007, "skuTitle":"小米红米手机Redmi 10A 5000mAh大电量大屏", "skuPrice":1419, "saleCount":4534, "hasStock": true, "brandId":101,"brandName":"小米", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"5.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"1200" },{ "attrId":3,"attrName":"电池容量", "attrValue":"5000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"16G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"512G" }]}
{"create":{"_id":8}}
{ "skuId":1003, "spuId":10008, "skuTitle":"OPPO A32大电池大内存", "skuPrice":799, "saleCount":2245, "hasStock": true, "brandId":103,"brandName":"OPPO", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"5.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"500" },{ "attrId":3,"attrName":"电池容量", "attrValue":"3000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"4G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"128G" }]}
{"create":{"_id":9}}
{ "skuId":1003, "spuId":10009, "skuTitle":"OPPO A32大电池大内存", "skuPrice":1299, "saleCount":7285, "hasStock": true, "brandId":103,"brandName":"OPPO", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"5.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"500" },{ "attrId":3,"attrName":"电池容量", "attrValue":"3000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"6G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"128G" }]}
{"create":{"_id":10}}
{ "skuId":1003, "spuId":10010, "skuTitle":"OPPO A32大电池大内存", "skuPrice":1389, "saleCount":6445, "hasStock": true, "brandId":103,"brandName":"OPPO", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"5.2寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"800" },{ "attrId":3,"attrName":"电池容量", "attrValue":"3000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"8G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"128G" }]}
{"create":{"_id":11}}
{ "skuId":1004, "spuId":10011, "skuTitle":"VIVO Y32t智能游戏大电池手机", "skuPrice":999, "saleCount":9999, "hasStock": true, "brandId":104,"brandName":"VIVO", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.1寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"800" },{ "attrId":3,"attrName":"电池容量", "attrValue":"8000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"8G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"128G" }]}
{"create":{"_id":12}}
{ "skuId":1004, "spuId":10012, "skuTitle":"VIVO Y32t智能游戏大电池手机", "skuPrice":1399, "saleCount":25545, "hasStock": true, "brandId":104,"brandName":"VIVO", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.1寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"800" },{ "attrId":3,"attrName":"电池容量", "attrValue":"8000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"8G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"512G" }]}
{"create":{"_id":13}}
{ "skuId":1004, "spuId":10013, "skuTitle":"VIVO Y32t智能游戏大电池手机", "skuPrice":1499, "saleCount":99223, "hasStock": true, "brandId":104,"brandName":"VIVO", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.1寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"800" },{ "attrId":3,"attrName":"电池容量", "attrValue":"8000mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"8G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"1T" }]}
{"create":{"_id":14}}
{ "skuId":1005, "spuId":10014, "skuTitle":"【24期免息/当天发货】Apple/苹果iPhone 13ProMax全网通5G手机苹果13ProMax", "skuPrice":9288, "saleCount":92745, "hasStock": true, "brandId":105,"brandName":"苹果iPhone", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.7寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"1200" },{ "attrId":3,"attrName":"电池容量", "attrValue":"3200mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"6G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"256G" }]}
{"create":{"_id":15}}
{ "skuId":1005, "spuId":10015, "skuTitle":"【24期免息/当天发货】Apple/苹果iPhone 13ProMax全网通5G手机苹果13ProMax", "skuPrice":10298, "saleCount":11245, "hasStock": true, "brandId":105,"brandName":"苹果iPhone", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.7寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"1200" },{ "attrId":3,"attrName":"电池容量", "attrValue":"3200mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"6G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"512G" }]}
{"create":{"_id":16}}
{ "skuId":1005, "spuId":10016, "skuTitle":"【24期免息/当天发货】Apple/苹果iPhone 13ProMax全网通5G手机苹果13ProMax", "skuPrice":11298, "saleCount":5624, "hasStock": true, "brandId":105,"brandName":"苹果iPhone", "categoryId":11, "catagoryName":"手机数码", "attrs":[ { "attrId":1, "attrName":"屏幕尺寸", "attrValue":"6.7寸" },{ "attrId":2, "attrName":"相机像素", "attrValue":"1200" },{ "attrId":3,"attrName":"电池容量", "attrValue":"3200mAh"},{ "attrId":4, "attrName":"运行内存", "attrValue":"6G" },{ "attrId":5, "attrName":"物理内存", "attrValue":"1T" }]}

1. 根据id查询文档信息

GET /goods/_doc/1

2. 无条件查询所有文档信息


GET /goods/_search
{
  "query": {
    "match_all": {}
  }
}

3. 设置需要返回的字段


GET /goods/_search
{
  "query": {
    "match_all": {}
  },
  "_source": ["catagoryName","brandName","skuPrice","skuTitle"]
}

4. 分页，设置返回的数据条数，从第5个开始，返回2个数据


GET /goods/_search
{
  "query": {
    "match_all": {}
  },
  "from": 5,
  "size": 2
}

5. 排序，sort 根据 skuPrice这个字段倒序


GET /goods/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "skuPrice": {
        "order": "desc"
      }
    }
  ]
}

6. match 条件查询，通过match关键词模糊匹配条件内容。例如，这里搜索条件为“苹果手机”，会将苹果手机分词为"苹果"和"手机"两个词进行搜索。


GET /goods/_search
{
  "query": {
    "match": {
      "skuTitle": "苹果手机"
    }
  }
}

7. prefix 前缀查询，需要使用.keyword，不然查不出来


GET /goods/_search
{
  "query": {
    "prefix": {
      "skuTitle.keyword": {
        "value": "手机"
      }
    }
  }
}

8. term 精确查询，对查询条件不分词，这里搜索“OPPO”，可以得到结果，但是如果是搜索“OPPO 小米”，就没办法得到结果，因为他不会进行分词。


GET /goods/_search
{
  "query": {
    "term": {
      "brandName": {
        "value": "OPPO"
      }
    }
  }
}

9. match_phrase，匹配短语，对查询条件不分词，和term有点像，但是term只能匹配keyword


GET /goods/_search
{
  "query": {
    "match_phrase": {
      "skuTitle": "苹果手机"
    }
  }
}

10. multi_match，多个字段匹配同一个搜索条件，这里的brandName或者skuTitle中包含"华为手机"的分词进行搜索。


GET /goods/_search
{
  "query": {
    "multi_match": {
      "query": "华为手机",
      "fields": ["brandName","skuTitle"]
    }
  }
}

11. terms 匹配多个值，这里的brandName进行匹配“华为手机”，“小米”，由于不会进行分词，所以brandName为“华为”的不会搜索出来。


GET /goods/_search
{
  "query": {
    "terms": {
      "brandName": [
        "华为手机",
        "小米"
      ]
    }
  }
}

12. range 范围查询，查询skuPrice价格在[1000,2000] 范围内的，gte 大于等于 gt 大于 lt小于 lte小于等于。


GET /goods/_search
{
  "query": {
    "range": {
      "skuPrice": {
        "gte": 1000,
        "lte": 2000
      }
    }
  }
}

13. query_string


GET  /goods/_search
{
  "query": {
    "query_string": {
      "default_field": "brandName", 
      "query": "小米 OR 华为"
    }
  }
}

14. ids 查询，根据文档id进行查询


GET /goods/_search
{
  "query": {
    "ids": {
      "values": [1,2,3]
    }
  }
}

15. exists 查询特定字段有值的文档


#先更新，新加入一个fee字段
POST /goods/_update/5
{
  "doc": {
    "skuTitle":"手机小米红米手机Redmi 10A 5000mAh大电量大屏",
    "fee": 10.0
  }
}
# 根据fee字段是否有值查询，这里只能查到id为5的刚刚更新的那条记录
GET /goods/_search
{
  "query": {
    "exists": {
      "field": "fee"
    }
  }
}

16. 组合条件查询 bool，各个条件之间有and，or或者not 的关系。must表示各个条件都要满足，must_not表示不满足所有条件，should表示满足其中一个条件即可，filter表示过滤掉某些条件，不计算相关度评分。

其中must、filter、must_not和should中的子条件是通过term、terms、match、range、ids、exists等查询为参数。

1）使用must，查询skuTitle中包含"小米"并且skuPrice价格在[999,2000] 范围内的


GET /goods/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "skuPrice": {
              "gte": 999,
              "lte": 2000
            }
          }
        },
        {
          "match": {
            "skuTitle": "小米"
          }
        }
      ]
    }
  }
}

2）must_not ，查询brandName不为“苹果iPhone”，并且价格不小于等于2000


GET /goods/_search
{
  "query": {
    "bool": {
      "must_not": [
        {
          "match": {
            "brandName": "苹果iPhone"
          }
        },
        {
          "range": {
            "skuPrice": {
              "lte": 2000
            }
          }
        }
      ]
    }
  }
}

3）should，这里就查询skuTitle中包含“华为”，或者skuPrice大于等于8000


GET /goods/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "skuTitle": "华为"
          }
        },
        {
          "range": {
            "skuPrice": {
              "gte": 8000
            }
          }
        }
      ]
    }
  }
}

4）filter，过滤结果中skuTitle包含“小米”并且skuPrice小于等于1000，不计算相关性得分


GET /goods/_search
{
  "query": {
    "bool": {
      "filter": [
        {
          "match": {
            "skuTitle": "小米"
          }
        },
        {
          "range": {
            "skuPrice": {
              "lte": 1000
            }
          }
        }
      ]
    }
  }
}

5）组合条件查询


GET /goods/_search
{
  "query": {
    "bool": {
      "must_not": [
        {
          "match": {
            "brandName": "华为"
          }
        }
      ],
      "must": [
        {
          "range": {
            "saleCount": {
              "gte": 5000
            }
          }
        }
      ],
      "filter": [
        {
          "range": {
            "skuPrice": {
              "gte": 1000,
              "lte": 2000
            }
          }
        }
      ]
    }
  }
}

6) 更为复杂的查询，此时查询的是skuPrice小于等于2000，并且 brandName为华为或者saleCount大于等于10000的数据


GET /goods/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "skuPrice": {
              "lte": 2000
            }
          }
        },
        {
          "bool": {
            "should": [
              {
                "match": {
                  "brandName": "华为"
                }
              },
              {
                "range": {
                  "saleCount": {
                    "gte": 10000
                  }
                }
              }
            ]
          }
        }
      ]
    }
  }
}

6）fuzzy 模糊搜索，fuzziness:1，表示搜索的value中有一个字可以是不一致的，这里就可以搜索出brandName为“小米”的数据，需要注意的是，这里的字段分词方式要为keyword，不然搜索不出来。


GET /goods/_search
{
  "query": {
    "fuzzy": {
      "brandName": {
        "value": "小迷",
        "fuzziness": 1
      }
    }
  }
}

7）nested 查询，前提是需要把字段类型设置为nested


#带nested查询
GET /goods/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "nested": {
            "path": "attrs",
            "query": {
              "bool": {
                "must": [
                  {
                    "match": {
                       "attrs.attrValue": "8g"
                    }
                  },
                  {
                    "match": {
                      "attrs.attrName": "运行内存"
                    }
                  }
                ]
              }
            }
          }
        }
      ]
    }
  }
}
 
#不带nested查询
GET /goods/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "attrs.attrValue": "8g"
          }
        },
        {
          "match": {
            "attrs.attrName": "运行内存"
          }
        }
      ]
    }
  }
}

六、总结

elasticsearch 的基本操作介绍结束了，下一篇将介绍es的聚合操作。

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