ElasticSearch02_Restful风格基本操作

清疚 2022-11-29 08:49 203阅读 0赞

**ElasticSearch02**

--------------------

**Restful 风格操作索引：**

**1. 创建索引示例：**

PUT /索引名/类型名/文档id
    {请求体}

PUT /test1/_doc/1
    { 
      "name": "BLU",
      "age": 3,
      "birth":"1998-09-30"
    }

![在这里插入图片描述][20200819190001608.png_pic_left]  
**2. 查询索引信息（创建时没有指定字段的类型，但ES智能的配置了字段类型）：**

GET test1

{ 
      "test1" : { 
        "aliases" : {  },
        "mappings" : { 
          "properties" : { 
            "age" : { 
              "type" : "long"
            },
            "birth" : { 
              "type" : "date"
            },
            "name" : { 
              "type" : "text",
              "fields" : { 
                "keyword" : { 
                  "type" : "keyword",
                  "ignore_above" : 256
                }
              }
            }
          }
        },
        "settings" : { 
          "index" : { 
            "creation_date" : "1597834637327",
            "number_of_shards" : "1",
            "number_of_replicas" : "1",
            "uuid" : "tp92cyypT0yXtJ9EsRW1MA",
            "version" : { 
              "created" : "7070199"
            },
            "provided_name" : "test1"
          }
        }
      }
    }

**基本数据类型：**

字符串类型:	text	keyword		注：text类型可以被分词器解析，而keyword类型不会被分词器解析
    数值类型：	long	integer	short	byte	double	float	half float	scaled float
    日期类型：	date
    布尔类型：boolean
    二进制类型：binary
    ......

**3. 创建索引并指定字段的类型：**

PUT /test2
    { 
      "mappings": { 
        "properties": { 
          "name":{ 
            "type": "text"
          },
          "age":{ 
            "type": "long"
          },
          "birthday":{ 
            "type": "date"
          }
        }
      }
    }

![在这里插入图片描述][20200819184645151.png_pic_left]  
**查询索引信息：**

GET test2

{ 
      "test2" : { 
        "aliases" : {  },
        "mappings" : { 
          "properties" : { 
            "age" : { 
              "type" : "long"
            },
            "birthday" : { 
              "type" : "date"
            },
            "name" : { 
              "type" : "text"
            }
          }
        },
        "settings" : { 
          "index" : { 
            "creation_date" : "1597833899073",
            "number_of_shards" : "1",
            "number_of_replicas" : "1",
            "uuid" : "KpZ-7iOOTR2dpxh6WloWUw",
            "version" : { 
              "created" : "7070199"
            },
            "provided_name" : "test2"
          }
        }
      }
    }

**4. 查看健康值信息：**

GET _cat/health

1597835176 11:06:16 elasticsearch yellow 1 1 7 7 0 0 3 0 - 70.0%

**5. 查看ES所有index：**

GET _cat/indices?v

health status index                    uuid                   pri rep docs.count docs.deleted store.size pri.store.size
    yellow open   test2                    KpZ-7iOOTR2dpxh6WloWUw   1   1          0            0       208b           208b
    yellow open   test3                    QxA5gefcSM6-uzqYrfH3uw   1   1          1            0        4kb            4kb
    green  open   .apm-custom-link         U03Ki1pkRU63zQ3IydY96w   1   0          0            0       208b           208b
    green  open   .kibana_task_manager_1   MdDmfW_2QGecdl0-bqAWWQ   1   0          5            0     75.9kb         75.9kb
    green  open   .apm-agent-configuration b3RptmMRS_W3YXSPL4Abzw   1   0          0            0       208b           208b
    green  open   .kibana_1                R4adYkTXTLC5dKfJhEgS5A   1   0         46            7    175.6kb        175.6kb
    yellow open   test1                    tp92cyypT0yXtJ9EsRW1MA   1   1          1            0        4kb            4kb

**6. 修改文档数据：**

POST /test1/_doc/1/_update
    { 
      "doc":{ 
        "name": "法外狂徒张三",
        "age": 30
      }
    }

{ 
      "_index" : "test1",
      "_type" : "_doc",
      "_id" : "1",
      "_version" : 2
    ,
      "result" : "updated",
      "_shards" : { 
        "total" : 2,
        "successful" : 1,
        "failed" : 0
      },
      "_seq_no" : 2,
      "_primary_term" : 1
    }

![在这里插入图片描述][20200819192005350.png_pic_left]  
**7. 删除文档 / 删除索引：**

DELETE test1/_doc/1
    
    DELETE test1

--------------------

**Restful 风格操作文档：**

**1. 创建索引并添加数据：**

PUT /blu/user/1
    { 
      "name": "法外狂徒张三",
      "age": 23,
      "desc": "Hello! My name is 张三",
      "tags": ["Spring","Mybatis","JAVA","MySQL"]
    }

PUT /blu/user/2
    { 
      "name": "李四",
      "age": 30,
      "desc": "Hello! My name is 李四",
      "tags": ["SpringBoot","JPA","Python","Oracle"]
    }

PUT /blu/user/3
    { 
      "name": "王五",
      "age": 65,
      "desc": "Hello! My name is 王五",
      "tags": ["Hibernate","C++","ElasticSearch"]
    }

PUT /blu/user/4
    { 
      "name": "小张三",
      "age": 24,
      "desc": "Hello! My name is 张三",
      "tags": ["Hibernate","C","ElasticSearch"]
    }

**2. PUT 更新数据（不推荐）：**

PUT /blu/user/2
    { 
      "name": "lisi23333",
      "age": 30,
      "desc": "Hello! My name is lisi",
      "tags": ["SpringBoot","JPA","Python","Oracle"]
    }

**3. POST 更新数据（推荐）：**

POST /blu/user/2/_update
    { 
      "doc":{ 
        "name": "lisihahaha"
      }
    }

**4. 查询：**

GET blu/user/1
    
    GET blu/user/_search?q=name:法外狂徒
    
    GET blu/user/_search
    { 
      "query": { 
        "match": { 
          "name": "法外狂徒"
        }
      }
    }
    
    结果过滤：查询name中带张三的文档数据，只返回name和desc字段
    GET blu/user/_search
    { 
      "query": { 
        "match": { 
          "name": "张三"
        }
      },
      "_source": ["name","desc"]
    }
    
    排序查询：此时结果的_score字段为null
    GET blu/user/_search
    { 
      "query": { 
        "match": { 
          "name": "张三"
        }
      },
      "sort": [
        { 
          "age": { 
            "order": "desc"
          }
        }
      ]
    }
    
    分页查询：form从第几个数据开始（0开始），size每页几个数据
    GET blu/user/_search
    { 
      "query": { 
        "match": { 
          "name": "张三"
        }
      },
      "sort": [
        { 
          "age": { 
            "order": "asc"
          }
        }
      ],
      "from": 0,
      "size": 2
    }
    
    多条件查询：
    must 表示所有条件都要符合，等价and
    should 表示只要符合一个条件即可，等价or
    must_not 表示查询过滤该条件的文档数据，等价!=
    
    GET blu/user/_search
    { 
      "query": { 
        "bool": { 
          "must": [
            { 
              "match": { 
                "name": "张三"
              }
            },
            { 
              "match": { 
                "age": "14"
              }
            }
          ]
        }
      }
    }
    
    范围过滤，查询name带张三，年龄大于10，小于等于20的数据：
    GET blu/user/_search
    { 
      "query": { 
        "bool": { 
          "must": [
            { 
              "match": { 
                "name": "张三"
              }
            }
          ],"filter": [
            { 
              "range": { 
                "age": { 
                  "gt": 10,
                  "lte": 20
                }
              }
            }
          ]
        }
      }
    }
    
    多条件匹配：查询name中有张三或四的，条件使用空格隔开
    GET blu/user/_search
    { 
      "query": { 
        "match": { 
          "name": "张三 四"
        }
      }
    }
    
    查询结果高亮：在查询出的结果中，搜索关键字会自动添加<em>标签
    GET blu/user/_search
    { 
      "query": { 
        "match": { 
          "name": "张三"
        }
      },
      "highlight": { 
        "fields": { 
          "name":{ }
        }
      }
    }
    
    自定义高亮标签：
    GET blu/user/_search
    { 
      "query": { 
        "match": { 
          "name": "张三"
        }
      },
      "highlight": { 
        "pre_tags": "<span class='key' style='color:red'>",
        "post_tags": "</span>", 
        "fields": { 
          "name":{ }
        }
      }
    }

[20200819190001608.png_pic_left]: /images/20221124/65ffdf850f904803ab444d99ef86d983.png
[20200819184645151.png_pic_left]: /images/20221124/a10a54ece0f44eb99f2606bb53de55a5.png
[20200819192005350.png_pic_left]: /images/20221124/9797646ed3584f3e813dd73b00ce6400.png