Question

我有一个包含数据的表，其中一列标题为'createdAt'，是一个时间戳。是否有一个我可以运行的查询，它会选择上一周内所有的条目？

这是我到目前为止的代码。我相信它会实现某种WHERE子句，但我不确定如何做到这一点。

#standardSQL
SELECT
  Serial,
  SUM(ConnectionTime/3600) as Total_Hours,
  COUNT(DISTINCT DeviceID) AS Devices_Connected
FROM `dataworks-356fa.FirebaseArchive.testf`
WHERE Model = "BlueBox-pH"
GROUP BY Serial
ORDER BY Serial
LIMIT 1000;

Answer 1

在标准SQL中，您可以尝试这样的操作来查看WHERE子句是否为您提供了正确的日期范围：

SELECT
  MIN(createdAt),
  MAX(createdAt)
FROM
  `dataworks-356fa.FirebaseArchive.testf`
WHERE
  EXTRACT(WEEK FROM createdAt) = EXTRACT(WEEK FROM CURRENT_TIMESTAMP()) - 1

请注意，BigQuery使用星期日作为一周的第一天。我不知道如何改变它。如果有人知道，在我的国家，我们会认为星期一是本周的第一天，这会很有趣。

Answer 2

您可以将DATE_TRUNC与WEEK部分一起使用，以查找给定日期的周开始日期。例如，

#standardSQL
WITH Input AS (
  SELECT DATE '2017-06-25' AS date, 1 AS x UNION ALL
  SELECT DATE '2017-06-20', 2 UNION ALL
  SELECT DATE '2017-06-26', 3 UNION ALL
  SELECT DATE '2017-07-11', 4 UNION ALL
  SELECT DATE '2017-07-09', 5
)
SELECT
  DATE_TRUNC(date, WEEK) AS week,
  MAX(x) AS max_x
FROM Input
GROUP BY week;

在您的特定情况下，它将是：

#standardSQL
SELECT
  Serial,
  SUM(ConnectionTime/3600) as Total_Hours,
  COUNT(DISTINCT DeviceID) AS Devices_Connected
FROM `dataworks-356fa.FirebaseArchive.testf`
WHERE Model = "BlueBox-pH" AND
  createdAt >= DATE_TRUNC(CURRENT_DATE(), WEEK)
GROUP BY Serial
ORDER BY Serial
LIMIT 1000;

或者，如果您只是在过去七天内查找日期，则可以使用此表单的查询：

#standardSQL
SELECT
  Serial,
  SUM(ConnectionTime/3600) as Total_Hours,
  COUNT(DISTINCT DeviceID) AS Devices_Connected
FROM `dataworks-356fa.FirebaseArchive.testf`
WHERE Model = "BlueBox-pH" AND
  createdAt >= DATE_SUB(CURRENT_DATE(), INTERVAL 1 WEEK)
GROUP BY Serial
ORDER BY Serial
LIMIT 1000;

Answer 3

选择上一周内所有的参赛作品？

下面是针对BigQuery Standard SQL并将数据限制在前一周，显然不是当前的一周

#standardSQL
SELECT
  Serial,
  SUM(ConnectionTime/3600) AS Total_Hours,
  COUNT(DISTINCT DeviceID) AS Devices_Connected
FROM `dataworks-356fa.FirebaseArchive.testf`, 
  UNNEST([DATE_SUB(CURRENT_DATE(), INTERVAL CAST(FORMAT_DATE('%w', CURRENT_DATE()) AS INT64) DAY)]) AS first_day_of_week 
WHERE Model = 'BlueBox-pH'
AND createdAt 
  BETWEEN DATE_SUB(first_day_of_week, INTERVAL 7 DAY)
  AND DATE_SUB(first_day_of_week, INTERVAL 1 DAY)
GROUP BY Serial
-- ORDER BY Serial
-- LIMIT 1000

了解past week它的工作原理 - 在

下面运行

#standardSQL
WITH dates AS (
  SELECT createdAt 
  FROM UNNEST(GENERATE_DATE_ARRAY('2017-01-01', '2017-01-13', INTERVAL 1 DAY)) AS createdAt 
)
SELECT 
  createdAt, 
  FORMAT_DATE('%a', createdAt) AS weekday, 
  FORMAT_DATE('%U', createdAt) AS week_start_Sunday, 
  FORMAT_DATE('%W', createdAt) AS week_start_Monday,
  FORMAT_DATE('%V', createdAt) AS week_start_Monday_prorated,
  DATE_SUB(createdAt, INTERVAL weekday_num DAY) AS first_day_of_week_Sunday,
  DATE_SUB(createdAt, INTERVAL weekday_num - 1 DAY) AS first_day_of_week_Monday,
  DATE_SUB(DATE_SUB(createdAt, INTERVAL weekday_num DAY), INTERVAL 7 DAY) AS first_day_of_prev_week_Sunday,
  DATE_SUB(DATE_SUB(createdAt, INTERVAL weekday_num - 1 DAY), INTERVAL 7 DAY) AS first_day_of_prev_week_Monday
FROM dates, UNNEST([CAST(FORMAT_DATE('%w', createdAt) AS INT64)]) AS weekday_num 
ORDER BY createdAt

输出是 -

createdAt   weekday  week_   week_   week_     first_day_  first_day_  first_day_     first_day_
                     start_  start_  start_    of_week_    of_week_    of_prev_week_  of_prev_week_     
                     Sunday  Monday  Monday_   Sunday      Monday      Sunday         Monday
                                     prorated 
---------------------------------------------------------------------------------------------------
2017-01-01  Sun      01      00      52        2017-01-01  2017-01-02  2016-12-25     2016-12-26     
2017-01-02  Mon      01      01      01        2017-01-01  2017-01-02  2016-12-25     2016-12-26     
2017-01-03  Tue      01      01      01        2017-01-01  2017-01-02  2016-12-25     2016-12-26     
2017-01-04  Wed      01      01      01        2017-01-01  2017-01-02  2016-12-25     2016-12-26     
2017-01-05  Thu      01      01      01        2017-01-01  2017-01-02  2016-12-25     2016-12-26     
2017-01-06  Fri      01      01      01        2017-01-01  2017-01-02  2016-12-25     2016-12-26     
2017-01-07  Sat      01      01      01        2017-01-01  2017-01-02  2016-12-25     2016-12-26     
2017-01-08  Sun      02      01      01        2017-01-08  2017-01-09  2017-01-01     2017-01-02     
2017-01-09  Mon      02      02      02        2017-01-08  2017-01-09  2017-01-01     2017-01-02     
2017-01-10  Tue      02      02      02        2017-01-08  2017-01-09  2017-01-01     2017-01-02     
2017-01-11  Wed      02      02      02        2017-01-08  2017-01-09  2017-01-01     2017-01-02     
2017-01-12  Thu      02      02      02        2017-01-08  2017-01-09  2017-01-01     2017-01-02     
2017-01-13  Fri      02      02      02        2017-01-08  2017-01-09  2017-01-01     2017-01-02

正如您所看到的，在我的回答中，我使用first_day_of_week_Sunday的逻辑来计算first_day_of_week
如果您在我的国家/地区与@Wouter - 有相同的要求，我们认为星期一是一周的第一天 - 您可以使用first_day_of_week_Monday的逻辑

运行一个查询，该查询提供BigQuery中过去一周的所有数据条目

3 个答案: