我试图从包含商人日常交易的表中计算过去两年中每月至少进行4次交易的商人的每月数量(及其处理的总交易金额)。
我的查询如下:
SELECT trx.month, COUNT(trx.merchants), SUM(trx.amount)
FROM
(
SELECT
DATE_TRUNC('month', transactions.payment_date) AS month,
merchants,
COUNT(DISTINCT payment_id) AS volume,
SUM(transactions.payment_amount) AS amount
FROM transactions
WHERE transactions.date >= NOW() - INTERVAL '2 years'
GROUP BY 1, 2
) AS trx
WHERE trx.volume >= 4
我的问题是:此查询将提取正确的数据吗?如果是这样,这是最有效的编写方式,还是可以提高此查询的性能?
答案 0 :(得分:1)
首先,我们必须考虑时间范围。您说过去24个月每月至少要进行四笔交易。但是,例如,在2018年10月10日运行查询时,例如在2018年10月,您当然不需要此。您也不想只查看2016年10月的最后二十天。我们想看一下2016年10月完整版到2018年9月完整版。
接下来,我们要确保一个商人每月至少进行四笔交易。换句话说:他们每个月都有交易,并且每月最少交易数为四。我们可以使用窗口功能来运行每月的交易以进行检查。
select merchants, month, volume, amount
from
(
select
merchants,
date_trunc('month', payment_date) as month,
count(distinct payment_id) as volume,
sum(payment_amount) as amount,
count(*) over (partition by merchants) number_of_months,
min(count(distinct payment_id)) over (partition by merchants) min_volume
from transactions
where date between date_trunc('month', current_date) - interval '24 months'
and date_trunc('month', current_date) - interval '1 days'
group by merchants, date_trunc('month', payment_date)
) monthly
where number_of_months = 24
and min_volume >= 4
order by merchants, month;
这为您提供了满足要求的商家列表及其每月数据。如果您想要更多的商人,则合计。例如
select count(distinct merchants), sum(amount) as total
from (...) monthly
where number_of_months = 24 and min_volume >= 4;
或
select month, count(distinct merchants), sum(amount) as total
from (...) monthly
where number_of_months = 24 and min_volume >= 4
group by month
order by month;
答案 1 :(得分:0)
仅获取可用于过滤不同的payement_id和month数量的汇总值结果的商家列表
SELECT merchants
FROM transactions
WHERE transactions.date >= NOW() - INTERVAL '2 years'
GROUP BY merchants
having count(distinct DATE_TRUNC('month', transactions.payment_date)) =24
and COUNT(DISTINCT payment_id) >= 4
为您更新的问题只是一个建议
您可以与以下查询一起加入该查询:返回两个年度中每个月超过4的行进者,并使用
过滤结果以直接在子查询中进行汇总 SELECT trx.month, COUNT(trx.merchants), SUM(trx.amount)
FROM (
SELECT DATE_TRUNC('month', transactions.payment_date) AS month
, merchants
, COUNT(DISTINCT payment_id) AS volume
, SUM(transactions.payment_amount) AS amount
FROM transactions
INNER JOIN (
SELECT merchants
FROM transactions
WHERE transactions.date >= NOW() - INTERVAL '2 years'
GROUP BY merchants
having count(distinct DATE_TRUNC('month', transactions.payment_date)) =24
and COUNT(DISTINCT payment_id) >= 4
) A on A.merchant = transactions.merchant
WHERE transactions.date >= NOW() - INTERVAL '2 years'
GROUP BY 1, 2
HAVING volume >= 4
) AS trx