Question

新来的。我试图随着时间的推移获得每日和每周活跃用户。他们有30天才被认为是不活跃的。我的目标是创建可以通过user_id分割的图形，以显示同类群组，区域，类别等。

我创建了一个日期表来获取该时间段的每一天，我有简化的订单表，其中包含我需要计算的基本信息。

我正在尝试使用以下SQL查询执行左连接以按日期获取状态：

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

我收到此错误：如果没有来自连接两侧的字段相等的条件，则不能使用LEFT OUTER JOIN。在BigQuery中，我想知道如何解决这个问题。我在BigQuery中使用标准SQL。

谢谢

Answer 1

下面是BigQuery Standard SQL，主要是在您的查询中重现逻辑，但不包括根本找不到任何活动的日期

#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

如果由于某种原因你还需要exactly重现你的逻辑 - 你可以在上面用最后的左连接来接受如下：

#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 1,2

SQL - 不等左连接BigQuery

1 个答案: