要学更多的metric
count，avg，max,min,sum
count：bucket，terms，自动就会有一个doc_count，就相当于是count
avg：avg aggs，求平均值
max：求一个bucket内，指定field值最大的那个数据
min：求一个bucket内，指定field值最小的那个数据
sum：求一个bucket内，指定field值的总和
一般来说，90%的常见的数据分析的操作，metric，无非就是count，avg，max，min，sum
搜索测试
| GET /tvs/sales/_search
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{ "size" : 0, "aggs": { "colors": { "terms": { "field": "color" }, "aggs": { "avg_price": { "avg": { "field": "price" } }, "min_price" : { "min": { "field": "price"} }, "max_price" : { "max": { "field": "price"} }, "sum_price" : { "sum": { "field": "price" } } } } } }
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结果
| { "took": 5, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 8, "max_score": 0, "hits": [] }, "aggregations": { "colors": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "红色", "doc_count": 4, "max_price": { "value": 8000 }, "min_price": { "value": 1000 }, "avg_price": { "value": 3250 }, "sum_price": { "value": 13000 } }, { "key": "绿色", "doc_count": 2, "max_price": { "value": 3000 }, "min_price": { "value": 1200 }, "avg_price": { "value": 2100 }, "sum_price": { "value": 4200 } }, { "key": "蓝色", "doc_count": 2, "max_price": { "value": 2500 }, "min_price": { "value": 1500 }, "avg_price": { "value": 2000 }, "sum_price": { "value": 4000 } } ] } } } |
求总和，就可以拿到一个颜色下的所有电视的销售总额