ElasticSearch02_Restful风格基本操作-蒲公英云

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"
}

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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"
      }
    }
  }
}

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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
}

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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":{ }
    }
  }
}