如何获取每月 7 天活跃用户？

Posted 2023-03-25

【中文标题】如何获取每月 7 天活跃用户？

【英文标题】：How to get the monthly 7-day active users?

【发布时间】：2017-01-19 18:21:50

【问题描述】：

在我的数据库中，我有两个字段用于识别用户，timestamp 和 instance_id。我希望能够从这些数据中获取每月 7 天的活跃用户。我尝试了以下查询，但它只为每一行返回相同的时间戳和 1。

SELECT 
    FORMAT_TIMESTAMP('%Y-%m-%d', TIMESTAMP_MICROS(date)) as target,
    SUM(CASE WHEN period = 7  THEN users END) as days_07
    # SUM(CASE WHEN period = 14 THEN users END) as days_14,
    # SUM(CASE WHEN period = 30 THEN users END) as days_30
FROM (
    SELECT 
        activity.date as date,
        periods.period as period,
        COUNT(DISTINCT user) as users
    FROM (
        SELECT
            event.timestamp_micros as date, 
            user_dim.app_info.app_instance_id as user
        FROM `hidden.*` 
        CROSS JOIN 
            UNNEST(event_dim) as event  
    ) as activity
    CROSS JOIN (
        SELECT 
            event.timestamp_micros  as date
        FROM `hidden.*` 
        CROSS JOIN 
            UNNEST(event_dim) as event 
        GROUP BY event.timestamp_micros
    ) as dates
    CROSS JOIN (
        SELECT period 
        FROM 
            (
                SELECT 7 as period 
                # UNION ALL 
                # SELECT 14 as period 
                # UNION ALL
                # SELECT 30 as period
            )
    ) as periods
    WHERE 
        dates.date >= activity.date 
    AND 
        SAFE_CAST(FLOOR(TIMESTAMP_DIFF(TIMESTAMP_MICROS(dates.date), TIMESTAMP_MICROS(activity.date), DAY)/periods.period) AS INT64) = 0
    GROUP BY 1,2
)
GROUP BY date
ORDER BY date DESC

我不太确定从哪里开始，这对我来说很有挑战性，因为我不是最擅长 SQL。任何帮助都会很棒。谢谢！

我还应该提到，这些查询将在 BigQuery 中运行，并且数据将从 Firebase 导出到 BigQuery。

【参考方案1】：

下面试试

SELECT 
    DATE,
    SUM(CASE WHEN period = 7  THEN users END) AS days_07,
    SUM(CASE WHEN period = 14 THEN users END) AS days_14,
    SUM(CASE WHEN period = 30 THEN users END) AS days_30
FROM (
    SELECT 
        activity.date AS DATE,
        periods.period AS period,
        COUNT(DISTINCT user) AS users
    FROM (
      SELECT DISTINCT
          DATE(TIMESTAMP_MICROS(event.timestamp_micros))  AS DATE, 
          user_dim.app_info.app_instance_id AS user
      FROM `firebase-analytics-sample-data.android_dataset.app_events_20160607` 
      CROSS JOIN UNNEST(event_dim) AS event  
    ) AS activity
    CROSS JOIN (
        SELECT DATE(TIMESTAMP_MICROS(event.timestamp_micros))  AS DATE
        FROM `firebase-analytics-sample-data.android_dataset.app_events_20160607`
        CROSS JOIN UNNEST(event_dim) AS event 
        GROUP BY 1
    ) AS dates
    CROSS JOIN (
        SELECT period FROM 
            (SELECT 7 AS period UNION ALL 
            SELECT 14 AS period UNION ALL
            SELECT 30 AS period)
    ) AS periods
    WHERE dates.date >= activity.date 
    AND SAFE_CAST(FLOOR(DATE_DIFF(dates.date, activity.date, DAY)/periods.period) AS INT64) = 0
    GROUP BY 1,2
)
GROUP BY DATE
ORDER BY DATE DESC

【讨论】：

效果很好！由于您似乎是这里的主要 BigQuery 人员，您能否快速解释一下计费层级是什么？我已经尝试阅读文档，但它非常令人困惑并且没有多大意义。此查询尤其需要第 8 层。

您可以在High-Compute queries 的文档中阅读有关计费层级的信息。它提供了相当详细的主题图片

谢谢，之前没看到这个链接。

我想我在一个地方错过了“修复”，它仍然在日期子查询中按微量与日期进行分组 - 请尝试让我们知道计费等级是否仍为 8

我删除了 14 天和 30 天的查询，现在它要求我认为还不错的第 3 层。