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ElasticSearch基础语法

ElasticSearch基础语法

1.删除索引

DELETE /test
{

}

2.创建索引

PUT /test
{
"settings": {
  "number_of_shards": 1,
  "number_of_replicas": 0
}
}

DELETE /employee

PUT /employee
{
  "settings": {
    "number_of_shards": 1
    , "number_of_replicas": 0
  }
}

非结构化方式新建索引

PUT /employee/_doc/1
{
  "name":"凯杰2",
  "age":25
}

PUT 是全量更新；无则新建，有则更新。
```
PUT /employee/_doc/1
{
"name":"凯杰3"
}
```
获取索引记录
```
GET /employee/_doc/1
```

指定字段修改

POST /employee/_update/1
{
"doc": {
  "name":"凯杰4"
}
}

强制指定创建，若已存在，则失败(按id判断)
```
POST /employee/_create/4
{
"name":"兄长2",
"age":31
}
```
删除某个文档
```
DELETE /employee/_doc/1
```
查询全部文档(默认含有分页)
```
GET /employee/_search
```

使用结构化的方式创建索引

DELETE /employee

PUT /employee
{
"settings": {
  "number_of_shards": 1
  , "number_of_replicas": 0
},
"mappings": {
  "properties": {
    "name":{"type":"text"},
    "age":{"type": "integer"}
  }
}
}

PUT /employee/_doc/1
{
  "name":"凯杰",
  "age":30
}

POST /employee/_create/2
{
  "name":"123",
  "age":"字符串测试", //可以防止脏数据
  "gender":"男" //不在mappers中的字段自动生成类型
}

不带条件的查询所有记录(默认按_id倒序排序)
```
GET /employee/_search
{
"query": {
  "match_all": {}
}
}
```

分页查询

GET /employee/_search
{
"query": {
  "match_all": {}
},
"from": 0,
"size": 1
}

带关键字条件的查询

GET /employee/_search
{
  "query": {
    "match": {
      "name": "兄"
    }
  },
  "sort": [
    {
      "age": {
        "order": "asc"
      }
    }
  ]
}

带filter(相当于where)

term精确（不分词）

//
GET /employee/_search
{
"query": {
  "bool": {
    "filter": [
        {
          "term":
            {
              "age":30
            }
        }
      ]
  }
}
}

match模糊（分词）

GET /employee/_search
{
"query": {
  "bool": {
    "filter": [
        {
          "match":
            {
              "name":"兄"
            }
        }
      ]
  }
}
}

带聚合

GET /employee/_search
{
  "query": {
    "match": {
      "name": "兄"
    }
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ],
  "aggs": {
    "group_by_age": {  //aggs聚合中设置的group_by_tags参数用于返回，即结果返回在此字段上，可以随意设置。
      "terms": {
        "field": "age",
        "size": 10
      }
    }
  }
}

正文到此结束

所属分类：数据库

本文标签： ElasticSearch
本文链接： https://code.jiangjiesheng.cn/article/44
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