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从零学Elasticsearch系列——使用kibana实现ES基本的操作

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从零学Elasticsearch系列——使用kibana实现ES基本的操作

 版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/qq_31871785/article/details/86131950

系列文章:

一、使用Kibana实现ES基本的操作

进入kibana开发测试工具界面

在这里插入图片描述

查看集群

查看集群健康信息

GET /_cat/health?v
在这里插入图片描述

集群状态(status)

  • Green(正常)
  • Yellow(正常,但是一些副本还没有分配)
  • Red(非正常)

可以使用GET /_cat/health?help查看每个操作返回结果字段的意义

注意:

  1. 这里的GET是RESTful API的请求方式
  2. /_cat/health?help 是RESTful API接口
  3. 你也可以使用PostMan这样的RESTful API测试工具,但是没有提示

使用方式如下:
在这里插入图片描述

查看集群中节点信息

GET /_cat/nodes?v

ip             heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
192.168.23.141            9          91   7    0.10    0.08     0.13 mdi       *      x0vIhEF
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查看集群中的索引信息

GET /_cat/indices?v

health status index  uuid                   pri rep docs.count docs.deleted store.size 
yellow open   baizhi BYzhTHMzQIKEiyaKXklueQ   5   1          0            0      1.2kb
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简化写法

GET /_cat/indices?v&h=health,status,index

health status index
yellow open   baizhi
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索引操作

创建索引

PUT /baizhi

#! Deprecation: the default number of shards will change from [5] to [1] in 7.0.0; if you wish to continue using the default of [5] shards, you must manage this on the create index request or with an index template
{
  "acknowledged": true, # 创建成功返回true
  "shards_acknowledged": true,
  "index": "baizhi"
}
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上面的操作使用默认的配置信息创建一个索引

删除索引

DELETE /baizhi

{
  "acknowledged": true
}
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创建类型Mapping

PUT /baizhi # 创建index(baizhi)并添加类型mapping(_doc)
{
  "mappings": {
    "_doc": { 
      "properties": { 
        "title":    { "type": "text"  },  # 注意: 字符串常用类型:text类型会分词 keyword类型不会分词
        "name":     { "type": "text"  }, 
        "age":      { "type": "integer" },  
        "created":  {
          "type":   "date", 
          "format": "strict_date_optional_time||epoch_millis"
        }
      }
    }
  }
}
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POST /baizhi/user # 创建index(baizhi)后,在指定index中添加类型mapping(user)
{
  "user": { 
      "properties": { 
        "id":    { "type": "text"  }, 
        "name":     { "type": "text"  }, 
        "age":      { "type": "integer" },  
        "created":  {
          "type":   "date", 
          "format": "strict_date_optional_time||epoch_millis"
        }
      }
    }
}
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Mapping Type:

  1. 简单类型: textkeyworddatelongdoubleboolean or ip
  2. 其它类型: objectgeo_pointgeo_shape

查看类型mapping

GET /baizhi/_mapping/_doc # 语法:GET /索引名/_mapping/类型名

-------------------------------------------
{
  "baizhi": {
    "mappings": {
      "_doc": {
        "properties": {
          "age": {
            "type": "integer"
          },
          "created": {
            "type": "date"
          },
          "name": {
            "type": "text"
          },
          "title": {
            "type": "text"
          }
        }
      }
    }
  }
}
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注意:mapping types将会在ES 7.0版本中移除。原因可参考:https://www.elastic.co/guide/en/elasticsearch/reference/current/removal-of-types.html#_why_are_mapping_types_being_removed

文档操作

新增单个文档

PUT /baizhi/_doc/1 # put /索引名/类型名/id
{				   # request body
  "name":"zs",
  "title":"张三",
  "age":18,
  "created":"2018-12-25"
}
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POST /baizhi/_doc
{
  "name":"ls",
  "title":"李四",
  "age":28,
  "created":"2018-12-26"
}
-------------------------------------------------------------
{
  "_index": "baizhi",
  "_type": "_doc",
  "_id": "KbOj6GcBVEuCC3JSh18Y", # ES自动生成的文档的id
  "_version": 1,
  "result": "created",
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  },
  "_seq_no": 0,
  "_primary_term": 1
}
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查询单个文档

GET /baizhi/_doc/1	# 语法: GET /索引名/类型名/id
-------------------------------------------------------------------
{
  "_index": "baizhi",
  "_type": "_doc",
  "_id": "1",
  "_version": 1,
  "found": true,
  "_source": {
    "name": "zs",
    "title": "张三",
    "age": 18,
    "created": "2018-12-25"
  }
}

GET /baizhi/_doc/KbOj6GcBVEuCC3JSh18Y
--------------------------------------------------------------------
{
  "_index": "baizhi",
  "_type": "_doc",
  "_id": "KbOj6GcBVEuCC3JSh18Y",
  "_version": 1,
  "found": true,
  "_source": {
    "name": "ls",
    "title": "李四",
    "age": 28,
    "created": "2018-12-26"
  }
}
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修改单个文档

PUT /baizhi/_doc/KbOj6GcBVEuCC3JSh18Y  # 语法: PUT /索引名/类型名/id
{
  "name":"lxs",
  "title":"李小四"
}
--------------------------------------------------------------------
{
  "_index": "baizhi",
  "_type": "_doc",
  "_id": "KbOj6GcBVEuCC3JSh18Y",
  "_version": 2,
  "found": true,
  "_source": {
    "name": "lxs",
    "title": "李小四"
  }
}
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删除单个文档

DELETE /baizhi/_doc/1	# 语法: DELETE /索引名/类型名/id

--------------------------------------------------------------------
{
  "_index": "baizhi",
  "_type": "_doc",
  "_id": "1",
  "_version": 2,
  "result": "deleted",
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  },
  "_seq_no": 1,
  "_primary_term": 1
}
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批处理操作

除了能够索引、更新和删除单个文档外,Elasticsearch还提供了使用_bulk API批量执行上述任何操作的能力。这个功能非常重要,因为它提供了一种非常有效的机制,可以以尽可能少的网络往返尽可能快地执行多个操作

POST /baizhi/_doc/_bulk # 批量插入多个document
{"index":{}}
{"name":"ww","title":"王五","age":18,"created":"2018-12-27"}
{"index":{}}
{"name":"zl","title":"赵六","age":25,"created":"2018-12-27"}
-------------------------------------------------------------------
{
  "took": 65,
  "errors": false, # 批量插入成功
  "items": [
    {
      "index": {
        "_index": "baizhi",
        "_type": "_doc",
        "_id": "KrOP6WcBVEuCC3JS8V9K",
        "_version": 1,
        "result": "created",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "_seq_no": 0,
        "_primary_term": 1,
        "status": 201
      }
    },
    {
      "index": {
        "_index": "baizhi",
        "_type": "_doc",
        "_id": "K7OP6WcBVEuCC3JS8V9K",
        "_version": 1,
        "result": "created",
        "_shards": {
          "total": 2,
          "successful": 1,
          "failed": 0
        },
        "_seq_no": 0,
        "_primary_term": 1,
        "status": 201
      }
    }
  ]
}
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POST /baizhi/_doc/_bulk	 # 批量操作(包含修改和删除)
{"update":{"_id":"KrOP6WcBVEuCC3JS8V9K"}}  # 修改
{"doc":{"title":"王小五"}}
{"delete":{"_id":"K7OP6WcBVEuCC3JS8V9K"}}  # 删除

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