新来的。我试图获得每日和每周活跃用户随着时间的推移。他们有30天的时间被认为是不活跃的。我的目标是创建可以按user_id拆分的图形,以显示队列、区域、类别等。
我已经创建了一个日期表,以获得该时间段的每一天,我有一个简化的订单表,其中包含我需要计算的基本信息。
我正在尝试使用以下SQL查询执行左连接,以获取按日期显示的状态:
WITH daily_use AS (
SELECT
__key__.id AS user_id
, DATE_TRUNC(date(placeOrderDate), day) AS activity_date
FROM `analysis.Order`
where isBuyingGroupOrder = TRUE
AND testOrder = FALSE
GROUP BY 1, 2
),
dates AS (
SELECT DATE_ADD(DATE "2016-01-01", INTERVAL d.d DAY) AS date
FROM
(
SELECT ROW_NUMBER() OVER(ORDER BY __key__.id) -1 AS d
FROM `analysis.Order`
ORDER BY __key__.id
LIMIT 1096
) AS d
ORDER BY 1 DESC
)
SELECT
daily_use.user_id
, wd.date AS date
, MIN(DATE_DIFF(wd.date, daily_use.activity_date, DAY)) AS days_since_last_action
FROM dates AS wd
LEFT JOIN daily_use
ON wd.date >= daily_use.activity_date
AND wd.date < DATE_ADD(daily_use.activity_date, INTERVAL 30 DAY)
GROUP BY 1,2我得到了这个错误:如果没有连接两端的字段相等的条件,就不能使用左外部连接。在BigQuery中,我想知道我如何才能绕过这个问题。我在BigQuery中使用Standard SQL。
谢谢
发布于 2017-09-23 03:54:21
以下是针对BigQuery标准SQL的说明,除了不包括未找到任何活动的天数外,大多数情况下都会在查询中再现逻辑
#standardSQL
SELECT
daily_use.user_id
, wd.date AS DATE
, MIN(DATE_DIFF(wd.date, daily_use.activity_date, DAY)) AS days_since_last_action
FROM dates AS wd
CROSS JOIN daily_use
WHERE wd.date BETWEEN
daily_use.activity_date AND DATE_ADD(daily_use.activity_date, INTERVAL 30 DAY)
GROUP BY 1,2
-- ORDER BY 1,2如果出于任何原因,您仍然需要exactly重现您的逻辑-您可以使用最终的左连接来拥抱上面的逻辑,如下所示:
#standardSQL
SELECT *
FROM dates AS wd
LEFT JOIN (
SELECT
daily_use.user_id
, wd.date AS date
, MIN(DATE_DIFF(wd.date, daily_use.activity_date, DAY)) AS days_since_last_action
FROM dates AS wd
CROSS JOIN daily_use
WHERE wd.date BETWEEN
daily_use.activity_date AND DATE_ADD(daily_use.activity_date, INTERVAL 30 DAY)
GROUP BY 1,2
) AS daily_use
USING (date)
-- ORDER BY 1,2https://stackoverflow.com/questions/46370728
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