es的增删改查

2024-01-18  本文已影响0人  Fizz_YF

1、新增索引

#请求
put 192.168.1.139:9200/test11
{
  "mappings": {
    "properties": {
      "title": {
          "type": "text"
        },
        "year": {
          "type": "date",
          "format": "yyyy"
        },
        "type": {
          "type": "integer"
        }
      }
    },
"settings": {
    "index": {
      "number_of_shards": 5,
      "number_of_replicas": 1
    }
  }
}

# 返回
{
    "acknowledged": true,
    "shards_acknowledged": true,
    "index": "test11"
}

2、新增文档

#请求
post 192.168.1.139:9200/test11/_doc/
{
  "title": "标题",
  "year": "2024-01-18 12:00:34",
  "type": 1,
  "star": 5.2,
  "director": "啦啦啦"
}
#返回
{
    "_index": "test11",
    "_id": "QlS7Go0BnqotedfyWh-N",
    "_version": 1,
    "result": "created",
    "_shards": {
        "total": 2,
        "successful": 1,
        "failed": 0
    },
    "_seq_no": 0,
    "_primary_term": 1
}

3、 查询文档

########### 查询所有
get 192.168.1.139:9200/test11/_search/
{
    "query":{
        "match_all":{
        }
    }
}
#返回
{
    "took": 163,
    "timed_out": false,
    "_shards": {
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 1,
            "relation": "eq"
        },
        "max_score": 1.0,
        "hits": [
            {
                "_index": "test11",
                "_id": "QlS7Go0BnqotedfyWh-N",
                "_score": 1.0,
                "_source": {
                    "title": "标题",
                    "year": "2024-01-18 12:00:34",
                    "type": 1,
                    "star": 5.2,
                    "director": "啦啦啦"
                }
            }
        ]
    }
}

########### 匹配查询(match)
# 查看title 字段有"标题"的
GET /test11/_search
{
    "query":{
        "match": {
          "title": "标题"
        }
    }
}
# 查看所有字段有"标题"
body = {
    "query": {
        "multi_match": {
            "query": "标题",
        }
    }
}
# 查看title字段有"标"or"题"的
GET /test11/_search
{
  "query": {
    "match": {
      "title": {
        "query": "标题",
        "analyzer": "standard"
      }
    }
  }
}
3. 多字段查询
# 查询 title or director 含有标的
GET /test11/_search/
{
  "query": {
    "multi_match": {
      "query": "标",
      "fields": [
        "title",
        "director"
      ]
    }
  }
}
4. 词条匹配(term)
# term 查询被用于精确值 匹配,
# 这些精确值可能是数字、时间、布尔或者那些未分词的字符串(keyword)
GET /test11/_search/
{
    "query":{
        "term":{
            "director":"标题"
        }
    }
}

# term只能完整值匹配,这样就查询不出来
GET /test11/_search/
{
    "query":{
        "term":{
            "director":"标"
        }
    }
}
对于未分词的字符串查找
GET /test11/_search/
{
    "query":{
        "term":{
            "director.keyword":"标"
        }
    }
}
5. 范围
GET test11/_search
{
  "query": {
  "range": {
    "type": {
      "gte": 0,
      "lte": 1
    }
  }
  }
}
6. 复杂查询
# bool有3类查询关系,must(都满足),should(其中一个满足),must_not(都不满足)
GET test11/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "type": 1
          }
        },
        {
          "match": {
            "title": "标"
          }
        },
        {
          "range": {
            "type": {
              "gte": 1,
              "lte": 2
            }
          }
        }
      ]
    }
  }
}
7.通配符
# 诸如我的丧失女友,逆我者亡等等
GET test11/_search
{
    "query":{
        "wildcard":{
            "title":"*标*"
        }
    }
}
8.多字段搜索
GET /test11/_search 
{ 
    "query": { 
        "match": { 
            "title": { 
                "query": "腾讯 收入", 
                "operator": "and"
             } 
        }
   }
} 
9.类似数据表一样,条件、范围、排序
GET test11/_search
{
  "sort":{// 排序
      "type":{"order":"asc"}// 类型排序,asc正序,desc倒叙
  }
#“sort”: { “update_time”: { “order”: “asc”,”mode”:”min” }}//对数字或者日期可以查询多个值当中min、max、avg、sum排序
  "from":0,//条目开始位置
  "size":10,// 每页数量
  "query": {// 查询条件
    "bool": {
      "must": [
        {
          "match": {
            "type": 1
          }
        },
        {
          "match": {
            "title": "标"
          }
        },
        {
          "range": {
            "type": {
              "gte": 1,
              "lte": 2
            }
          }
        }
      ]
    }
  }
}

10、精准匹配match_phrase
GET test11/_search
{
    "query":{
        "match_phrase":{
            "title":"标题1"
        }
    }
}

4、指定id插入文档

PUT /test11/1
{
  "title": "标题11",
  "year": "2024-01-18 12:00:34",
  "type": 1,
  "star": 5.2,
  "director": "啦啦啦"
}

# 返回
{
  "_index" : "test11",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 1,
  "result" : "created",
  "_shards" : {
    "total" : 2,
    "successful" : 2,
    "failed" : 0
  },
  "_seq_no" : 26,
  "_primary_term" : 4
}

5、指定id获取文档

GET /test11/_doc/1

# 返回
{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 1,
  "_seq_no" : 26,
  "_primary_term" : 4,
  "found" : true,
  "_source" : {
      "title": "标题11",
      "year": "2024-01-18 12:00:34",
      "type": 1,
      "star": 5.2,
      "director": "啦啦啦"
}
}

6、修改文档

# 单个文档单个字段修改
post test11/_update/1
{
    "doc": {
        "title":"标题2222"
    }
}
 
#单个文档全部字段修改
put test11/_doc/1
{
      "title": "标题333",
      "year": "2024-01-19 12:00:34",
      "type": 2,
      "star": 5.3,
      "director": "啦e啦"
}

# 全部文档统一修改
POST /test11/_doc/_update_by_query
{
    "query": {// 根据查询条件修改,若不需要,在这里不需要query,只要script
        "match": {
            "director": "啦e啦"
        }
    },
    "script": {
        "inline": "ctx._source['title'] = '都是这个标题'"
    }
}

7、删除文档

delete test11/_doc/1
 

8、获取索引信息

# 查询所有索引
get /_cat/indices

# 查询单个索引
get /test11/

查询对应索引的数据结构
`GET /test11/_mapping`

查询对应索引的数据条数
GET /test11/_count

9、删除索引

delete /test11

10、修改索引

# 修改名字
## 方法1
为原索引增加别名,则就可以用别名作为新名字
## 方法2
新建一个索引,然后把就数据copy到新索引
# 迁移数据
POST _reindex
{
  "source": {
    "index": "test1"// 旧索引
  },
  "dest": {
    "index": "test2"// 新索引
  }
}

# 修改字段类型
由于es无法修改mapping,则需要曲线救国,可通过新建索引的方式来修改字段类型
 
先新增新的索引

然后吧旧数据倒过来
POST _reindex
{
  "source": {
    "index": "test1"// 旧索引
  },
  "dest": {
    "index": "test2"// 新索引
  }
}

## 此外还可以进行字段名修改,新创建的索引字段名为create_time
 
PUT test2
{
  "mappings": {
    "properties": {
      "create_time": {
        "type": "text"
      }
    }
  }
}
 
POST _reindex
{
  "source": {
    "index": "test1
  },
  "dest": {
    "index": "test2"
  },
  "script": {
    "source": "ctx._source.create_time= ctx._source.remove(\"create_date\")"
  }
}
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