1、家电卖场案例背景

以一个家电卖场中的电视销售数据为背景,来对各种品牌,各种颜色的电视的销量和销售额,进行各种各样角度的分析

  1. PUT /tvs
  2. {
  3. "mappings": {
  4. "properties": {
  5. "price": {
  6. "type": "long"
  7. },
  8. "color": {
  9. "type": "keyword"
  10. },
  11. "brand": {
  12. "type": "keyword"
  13. },
  14. "sold_date": {
  15. "type": "date"
  16. }
  17. }
  18. }
  19. }
POST /tvs/_bulk
{ "index": {}}
{ "price" : 1000, "color" : "红色", "brand" : "长虹", "sold_date" : "2016-10-28" }
{ "index": {}}
{ "price" : 2000, "color" : "红色", "brand" : "长虹", "sold_date" : "2016-11-05" }
{ "index": {}}
{ "price" : 3000, "color" : "绿色", "brand" : "小米", "sold_date" : "2016-05-18" }
{ "index": {}}
{ "price" : 1500, "color" : "蓝色", "brand" : "TCL", "sold_date" : "2016-07-02" }
{ "index": {}}
{ "price" : 1200, "color" : "绿色", "brand" : "TCL", "sold_date" : "2016-08-19" }
{ "index": {}}
{ "price" : 2000, "color" : "红色", "brand" : "长虹", "sold_date" : "2016-11-05" }
{ "index": {}}
{ "price" : 8000, "color" : "红色", "brand" : "三星", "sold_date" : "2017-01-01" }
{ "index": {}}
{ "price" : 2500, "color" : "蓝色", "brand" : "小米", "sold_date" : "2017-02-12" }

2、统计哪种颜色的电视销量最高

GET /tvs/_search
{
    "size" : 0,
    "aggs" : { 
        "popular_colors" : { 
            "terms" : { 
              "field" : "color"
            }
        }
    }
}

size:只获取聚合结果,而不要执行聚合的原始数据
aggs:固定语法,要对一份数据执行分组聚合操作
popular_colors:就是对每个aggs,都要起一个名字,这个名字是随机的,你随便取什么都ok
terms:根据字段的值进行分组
field:根据指定的字段的值进行分组

{
  "took": 61,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 8,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "popular_color": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "红色",
          "doc_count": 4
        },
        {
          "key": "绿色",
          "doc_count": 2
        },
        {
          "key": "蓝色",
          "doc_count": 2
        }
      ]
    }
  }
}

hits.hits:我们指定了size0,所以hits.hits就是空的,否则会把执行聚合的那些原始数据给你返回回来
aggregations:聚合结果
popular_color:我们指定的某个聚合的名称
buckets:根据我们指定的field划分出的buckets
key:每个bucket对应的那个值
doc_count:这个bucket分组内,有多少个数据
数量,其实就是这种颜色的销量
每种颜色对应的bucket中的数据的
默认的排序规则:按照doc_count降序排序