elastic search head 基本用法

最新推荐文章于 2025-09-24 10:07:04 发布

最新推荐文章于 2025-09-24 10:07:04 发布 · 804 阅读

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#elastic search head 基本用法

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本文详细介绍了ElasticsearchHead的基本用法，包括安装方法、资源监控、集群管理、数据查询等插件的使用，并通过具体示例展示了如何插入、删除、查询、更新数据。此外，还讲解了term分词、range、fuzzy、query_string等查询方式，以及数据操作的技巧。

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elastic search head 基本用法

es 安装方法： http://knight-black-bob.iteye.com/blog/2259836

资源监控和集群管理插件

bin/plugin -install lukas-vlcek/bigdesk
http://192.168.13.140:9200/_plugin/bigdesk

数据查询插件

bin/plugin -install mobz/elasticsearch-head
http://192.168.13.140:9200/_plugin/head/

理解性：

_index 类似 mysql中 database

_type 类似 mysql 中 table

_ id 类似 mysql 中 id

插入测试数据

使用 put http://192.168.13.140:9200/baoyou/10120/17_2/

{

"token_id": 17,

"type_id": 1,

"tag_desc": "test data",

"insert_time": "20151202",

"tag_id": 2

}

使用 put http://192.168.13.140:9200/baoyou/10120/17_1/

{

"token_id": 17,

"type_id": 1,

"tag_desc": "test data",

"insert_time": "20151202",

"tag_id": 1

}

2.删除数据

3.查询语句

{
  "size": 5,
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "tag_id": 2
          }
        },
        {
          "match": {
            "tag_id": 1
          }
        }
      ]
    }
  },
  "aggs": {
    "hello": {
      "terms": {
        "field": "token_id"
      }
    }
  }
}

4.更新数据

更新数据 version 有所改变

elastic search head 基本用法2

{
  "size": 0,
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "os": "iOS"
          }
        }
      ]
    }
  },
  "aggs": {
    "hello": {
      "terms": {
        "field": "device_resolution"
      }
    }
  }
}

{
"took": 23,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 25187,
"max_score": 0,
"hits": [ ]
},
"aggregations": {
"hello": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "667*375",
"doc_count": 9379
}
,
{
"key": "568*320",
"doc_count": 8302
}
,
{
"key": "736*414",
"doc_count": 4475
}
,
{
"key": "480*320",
"doc_count": 3030
}
,
{
"key": "755*425",
"doc_count": 1
}
]
}
}
}

1. term 分词

term 分词， long int 类型， 17 的分词就是 17 ， string 类型为空格分割的单词。 test data 分词之后是 test ,data . 【test data】不是

1. {"query":{"bool":{"must":[{"term":{"10120.tag_desc":"data"}}],"must_not":[],"should":[{"term":{"10120.tag_desc":"test"}}]}},"from":0,"size":10,"sort":[],"facets":{}}:

2.range

{"query":{"bool":{"must":[{"range":{"10120.token_id":{"from":"1","to":"18"}}}],"must_not":[],"should":[]}},"from":0,"size":10,"sort":[],"facets":{}}:

range 区间范围只对整形有作用，string 无效。

3.fuzzy

1. {"query":{"bool":{"must":[],"must_not":[],"should":[{"fuzzy":{"10120.token_id":{"value":"1","min_similarity":"20"}}}]}},"from":0,"size":10,"sort":[],"facets":{}}:
fuzzy 区间 value +- min_similarity 本实例中是 -19 ~21 之间。