七、ElasticSearch-高级查询操作三-Toy模板网

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1、高亮查询

在进行关键字搜索时，搜索出的内容中的关键字会显示不同的颜色，称之为高亮。

Elasticsearch 可以对查询内容中的关键字部分，进行标签和样式 ( 高亮 ) 的设置。

在使用 match 查询的同时，加上一个 highlight 属性：

pre_tags：前置标签
post_tags：后置标签
fields：需要高亮的字段
title：这里声明 title 字段需要高亮，后面可以为这个字段设置特有配置，也可以空

GET /my_index_data/_search
{
 "query": {
 "match": {
 "first_name": "tom6"
 }
 },
 "highlight": {
 "pre_tags": "<font color='red'>",
 "post_tags": "</font>",
 "fields": {
 "first_name": {}
 }
 } }


####结果
{
  "took" : 266,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 1.7155422,
    "hits" : [
      {
        "_index" : "my_index_data",
        "_type" : "_doc",
        "_id" : "6",
        "_score" : 1.7155422,
        "_source" : {
          "first_name" : "tom6",
          "last_name" : "Smith tom1",
          "age" : 39
        },
        "highlight" : {
          "first_name" : [
            "<font color='red'>tom6</font>"
          ]
        }
      }
    ]
  }
}

2、分页查询

from ：当前页的起始索引，默认从 0 开始。 from = (pageNum - 1) * size

size ：每页显示多少条

#####模糊查询first_name为tom 按照age倒叙排序，前两条数据

GET /my_index_data/_search
{
  "query": {
    "fuzzy": {
      "first_name": {
        "value": "tom"
      }
    }
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ],
  "from": 0,
  "size": 2
}

########结果
{
  "took" : 44,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 5,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [
      {
        "_index" : "my_index_data",
        "_type" : "_doc",
        "_id" : "3",
        "_score" : null,
        "_source" : {
          "first_name" : "tom3",
          "last_name" : "Smith",
          "age" : 39
        },
        "sort" : [
          39
        ]
      },
      {
        "_index" : "my_index_data",
        "_type" : "_doc",
        "_id" : "6",
        "_score" : null,
        "_source" : {
          "first_name" : "tom6",
          "last_name" : "Smith tom1",
          "age" : 39
        },
        "sort" : [
          39
        ]
      }
    ]
  }
}

3、聚合查询

聚合允许使用者对 es 文档进行统计分析，类似与关系型数据库中的 group by ，当然还有很

多其他的聚合，例如取最大值、平均值等等。

对age取最大值 max

GET /my_index_data/_search
{
  "aggs": {
    "max_age【别名】": {
      "max": {
        "field": "age"
      }
    }
  },
  "size": 0 
}


#结果
{
  "took" : 44,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "max_age" : {
      "value" : 39.0
    }
  }
}

对age取最小值min

GET /my_index_data/_search
{
  "aggs": {
    "min_age": {
      "min": {
        "field": "age"
      }
    }
  },
  "size": 0 
}

###结果
{
  "took" : 7,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "min_age" : {
      "value" : 20.0
    }
  }
}

求和

GET /my_index_data/_search
{
  "aggs": {
    "ageSum": {
      "sum": {
        "field": "age"
      }
    }
  },
  "size": 0 
}


#####求和结果
{
  "took" : 5,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "ageSum" : {
      "value" : 255.0
    }
  }
}

平均值

GET /my_index_data/_search
{
  "aggs": {
    "ageAvg": {
      "avg": {
        "field": "age"
      }
    }
  },
  "size": 0 
}


#平均值
{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "ageAvg" : {
      "value" : 31.875
    }
  }
}

数据总数count

GET /my_index_data/_search
{
  "aggs": {
    "count": {
      "value_count": {
        "field": "age"
      }
    }
  }, 
  "size": 0 
}

####结果
{
  "took" : 35,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "count" : {
      "value" : 8
    }
  }
}

数据总数count (去重之后)

GET /my_index_data/_search
{
  "aggs": {
    "distinct_age": {
      "cardinality": {
        "field": "age"
      }
    }
  }, 
  "size": 0 
}

####结果
{
  "took" : 35,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "distinct_age" : {
      "value" : 6
    }
  }
}

4、State 聚合

stats 聚合，对某个字段一次性返回 count ， max ， min ， avg 和 sum 五个指标

GET /my_index_data/_search
{
 "aggs":{
 "stats_age":{
 "stats":{"field":"age"}
 }
 },
 "size":0
}



####结果
{
  "took" : 9,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "stats_age" : {
      "count" : 8,
      "min" : 20.0,
      "max" : 39.0,
      "avg" : 31.875,
      "sum" : 255.0
    }
  }
}

5、桶聚合查询

桶聚和相当于 sql 中的 group by 语句

terms 聚合，分组统计

#####对age group by

GET /my_index_data/_search
{
 "aggs":{
 "age_groupby":{
 "terms":{"field":"age"}
 }
 },
 "size":0
}


########结果
{
  "took" : 26,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 8,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "age_groupby" : {
      "doc_count_error_upper_bound" : 0,
      "sum_other_doc_count" : 0,
      "buckets" : [
        {
          "key" : 30,
          "doc_count" : 2
        },
        {
          "key" : 39,
          "doc_count" : 2
        },
        {
          "key" : 20,
          "doc_count" : 1
        },
        {
          "key" : 29,
          "doc_count" : 1
        },
        {
          "key" : 33,
          "doc_count" : 1
        },
        {
          "key" : 35,
          "doc_count" : 1
        }
      ]
    }
  }
}

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