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在SQL中对数据进行分区时Agg函数_Sql_Hive - Fatal编程技术网

在SQL中对数据进行分区时Agg函数

在SQL中对数据进行分区时Agg函数,sql,hive,Sql,Hive,我有一张这样的桌子: store_id industry_id cust_id amount gender 1 100 1000 1.00 M 2 100 1000 2.05 M 3 100 1000 3.15 M 4 100 1000 4.00 M 5

我有一张这样的桌子:

store_id   industry_id   cust_id   amount   gender
1          100           1000      1.00     M
2          100           1000      2.05     M
3          100           1000      3.15     M
4          100           1000      4.00     M
5          100           2000      5.00     F
6          200           2000      5.20     F
7          200           5000      6.05     F
8          200           6000      7.10     F
以下是创建此表的代码:

CREATE TABLE t1(
    store_id int,
    industry_id int,
    cust_id int,
    amount float,
    gender char
);
INSERT INTO t1 VALUES(1,100,1000,1.00, 'M');
INSERT INTO t1 VALUES(2,100,1000,2.05, 'M');
INSERT INTO t1 VALUES(3,100,1000,3.15, 'M');
INSERT INTO t1 VALUES(4,100,1000,4.00, 'M');
INSERT INTO t1 VALUES(5,100,2000,5.00, 'F');
INSERT INTO t1 VALUES(6,200,2000,5.20, 'F');
INSERT INTO t1 VALUES(7,200,5000,6.05, 'F');
INSERT INTO t1 VALUES(8,200,6000,7.10, 'F');
我想回答的问题是:按行业划分的前20%的客户的平均交易额是多少

这将产生以下结果:

store_id.     industry_id      avg_amt_top_20
1             100              4.80
2             100              4.80
3             100              4.80
4             100              4.80
5             100              4.80
6             200              7.10
7             200              7.10
8             200              7.10
以下是我目前掌握的情况:

SELECT
store_id, industry_id,
avg(CASE WHEN percentile>=0.80 THEN amount ELSE NULL END) OVER(PARTITION BY industry_id)  as cust_avg
FROM(
    SELECT store_id, industry_id, amount, cume_dist() OVER(
        PARTITION BY industry_id 
        ORDER BY amount desc) AS percentile 
    FROM t1
) tmp
GROUP BY store_id, industry_id;
此操作在GROUP BY(包含未聚合列“金额”)上失败。最好的方法是什么

按行业划分的前20%客户的平均交易额是多少

基于这个问题,我不明白为什么
store\u id
会出现在结果中

如果我理解正确,您需要按客户汇总以获得总数。然后,您可以使用
NTILE()
确定前20%的百分比。最后一步是按行业进行聚合:

SELECT industry_id, AVG(total)
FROM (SELECT customer_id, industry_id, SUM(amount) as total,
             NTILE(5) OVER (PARTITION BY industry_id ORDER BY SUM(amount) DESC) as tile
      FROM t
      GROUP BY customer_id, industry_id
     ) t
WHERE tile = 1
GROUP BY industry_id

我不清楚为什么所问问题的结果中会出现
store\u id
。我将store\u id保留在结果中,因为我需要在其他查询中使用store\u id查找结果。