을 얻는 방법을 주간 데이터에서 시작하는 달의 첫째 날짜 및 하 SUM 계산에 따라 BQ?

0

질문

난제를 풀이한 종류의 데이터입니다. 그래서 내가 필요로 당겨 주간 데이터와 함께 이러한 사양:

  1. 데이터 풀 예약 될 것이다,따라서 그것은을 포함 할 것이 여러 개월
  2. 첫 번째 주에서 시작됩니다 첫 번째 날짜(1 에서는 매월)--그린 그림
  3. 마지막 주에는 포함하지 않는 날짜에서는 다음 달에 빨간색림

원시 데이터고 바람직한 출력(s)이 더 많거나 적은 다음과 같이: enter image description here

어떤 방법을 이렇게 하에서 에 맞? 덕분(아래에 첨부된 데이터)

+-------------+-------+
| date        | sales |
+-------------+-------+
|  1 Oct 2021 |     5 |
+-------------+-------+
|  2 Oct 2021 |    13 |
+-------------+-------+
|  3 Oct 2021 |    75 |
+-------------+-------+
|  4 Oct 2021 |     3 |
+-------------+-------+
|  5 Oct 2021 |    70 |
+-------------+-------+
|  6 Oct 2021 |    85 |
+-------------+-------+
|  7 Oct 2021 |    99 |
+-------------+-------+
|  8 Oct 2021 |    90 |
+-------------+-------+
|  9 Oct 2021 |    68 |
+-------------+-------+
| 10 Oct 2021 |    97 |
+-------------+-------+
| 11 Oct 2021 |    87 |
+-------------+-------+
| 12 Oct 2021 |    56 |
+-------------+-------+
| 13 Oct 2021 |    99 |
+-------------+-------+
| 14 Oct 2021 |    38 |
+-------------+-------+
| 15 Oct 2021 |     6 |
+-------------+-------+
| 16 Oct 2021 |    43 |
+-------------+-------+
| 17 Oct 2021 |    45 |
+-------------+-------+
| 18 Oct 2021 |    90 |
+-------------+-------+
| 19 Oct 2021 |    64 |
+-------------+-------+
| 20 Oct 2021 |    26 |
+-------------+-------+
| 21 Oct 2021 |    24 |
+-------------+-------+
| 22 Oct 2021 |     4 |
+-------------+-------+
| 23 Oct 2021 |    36 |
+-------------+-------+
| 24 Oct 2021 |    68 |
+-------------+-------+
| 25 Oct 2021 |     4 |
+-------------+-------+
| 26 Oct 2021 |    16 |
+-------------+-------+
| 27 Oct 2021 |    30 |
+-------------+-------+
| 28 Oct 2021 |    89 |
+-------------+-------+
| 29 Oct 2021 |    46 |
+-------------+-------+
| 30 Oct 2021 |    28 |
+-------------+-------+
| 31 Oct 2021 |    28 |
+-------------+-------+
|  1 Nov 2021 |    47 |
+-------------+-------+
|  2 Nov 2021 |    75 |
+-------------+-------+
|  3 Nov 2021 |     1 |
+-------------+-------+
|  4 Nov 2021 |    26 |
+-------------+-------+
|  5 Nov 2021 |    26 |
+-------------+-------+
|  6 Nov 2021 |    38 |
+-------------+-------+
|  7 Nov 2021 |    79 |
+-------------+-------+
|  8 Nov 2021 |    37 |
+-------------+-------+
|  9 Nov 2021 |    83 |
+-------------+-------+
| 10 Nov 2021 |    97 |
+-------------+-------+
| 11 Nov 2021 |    56 |
+-------------+-------+
| 12 Nov 2021 |    83 |
+-------------+-------+
| 13 Nov 2021 |    14 |
+-------------+-------+
| 14 Nov 2021 |    25 |
+-------------+-------+
| 15 Nov 2021 |    55 |
+-------------+-------+
| 16 Nov 2021 |    16 |
+-------------+-------+
| 17 Nov 2021 |    80 |
+-------------+-------+
| 18 Nov 2021 |    66 |
+-------------+-------+
| 19 Nov 2021 |    25 |
+-------------+-------+
| 20 Nov 2021 |    62 |
+-------------+-------+
| 21 Nov 2021 |    36 |
+-------------+-------+
| 22 Nov 2021 |    33 |
+-------------+-------+
| 23 Nov 2021 |    19 |
+-------------+-------+
| 24 Nov 2021 |    47 |
+-------------+-------+
| 25 Nov 2021 |    14 |
+-------------+-------+
| 26 Nov 2021 |    22 |
+-------------+-------+
| 27 Nov 2021 |    66 |
+-------------+-------+
| 28 Nov 2021 |    15 |
+-------------+-------+
| 29 Nov 2021 |    96 |
+-------------+-------+
| 30 Nov 2021 |     4 |
+-------------+-------+
aggregate date datetime google-bigquery
2021-11-24 03:25:38
1

최고의 응답

1

고려 아래 방법

with temp as (
  select parse_date('%d %B %Y', date) date, sales
  from your_table
)
select format_date('%d %B %Y', weeks[ordinal(num)]) start_week, sum(sales) total_sales 
from (
  select sales, weeks, range_bucket(date, weeks) num
  from temp, unnest([struct(generate_date_array(date_trunc(date, month), last_day(date, month), interval 7 day ) as weeks)])
)
group by start_week  

는 경우 적용하는 데이터를 샘플링(as)에서 당신의 질문 출력

enter image description here

2021-11-24 04:12:50

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