我正在尝试创建一个SQL,以便可以在与BigQuery连接的Google Data Studio中创建时间序列图。您可以在下面看到我的SQL。
datetime
我得到此表。
select DATEADD(month, DATEDIFF(month, -1, getdate()), 0) + cast(cast(getdate() as time) as datetime)
如您所见,我缺少日期,例如在21.07和24.07之间。如何用前一天的数据填写那些缺失的日期?因为在数据工作室中,那些日子我缺少数据,我也可以将它们设置为0,但我不希望这样。
答案 0 :(得分:1)
以下内容适用于BigQuery标准SQL,并基于您的当前结果
#standardSQL
WITH your_current_result AS (
......
), days AS (
SELECT day
FROM (
SELECT
MIN(DATE(TIMESTAMP(ProgressDate))) min_dt,
MAX(DATE(TIMESTAMP(ProgressDate))) max_dt
FROM your_current_result
), UNNEST(GENERATE_DATE_ARRAY(min_dt, max_dt)) day
)
SELECT day,
LAST_VALUE(EstMin IGNORE NULLS) OVER(ORDER BY day) EstMin,
LAST_VALUE(EstMax IGNORE NULLS) OVER(ORDER BY day) EstMax
FROM days
LEFT JOIN your_current_result
ON day = DATE(TIMESTAMP(ProgressDate))
-- ORDER BY day
您可以使用问题中的输出示例进行测试,玩转
#standardSQL
WITH your_current_result AS (
SELECT '2017-07-21T00:00:00Z' ProgressDate, 0.125 EstMin, 0.25 EstMax UNION ALL
SELECT '2017-07-24T00:00:00Z', 5.125, 5.375 UNION ALL
SELECT '2017-07-25T00:00:00Z', 8.75, 10.25 UNION ALL
SELECT '2017-07-26T00:00:00Z', 10.0, 12.0 UNION ALL
SELECT '2017-07-27T00:00:00Z', 10.5, 12.75 UNION ALL
SELECT '2017-08-01T00:00:00Z', 15.25, 19.125 UNION ALL
SELECT '2017-08-02T00:00:00Z', 15.5, 19.375 UNION ALL
SELECT '2017-08-05T00:00:00Z', 16.25, 20.625
), days AS (
SELECT day
FROM (
SELECT
MIN(DATE(TIMESTAMP(ProgressDate))) min_dt,
MAX(DATE(TIMESTAMP(ProgressDate))) max_dt
FROM your_current_result
), UNNEST(GENERATE_DATE_ARRAY(min_dt, max_dt)) day
)
SELECT day,
LAST_VALUE(EstMin IGNORE NULLS) OVER(ORDER BY day) EstMin,
LAST_VALUE(EstMax IGNORE NULLS) OVER(ORDER BY day) EstMax
FROM days
LEFT JOIN your_current_result
ON day = DATE(TIMESTAMP(ProgressDate))
ORDER BY day
有结果
Row day EstMin EstMax
1 2017-07-21 0.125 0.25
2 2017-07-22 0.125 0.25
3 2017-07-23 0.125 0.25
4 2017-07-24 5.125 5.375
5 2017-07-25 8.75 10.25
6 2017-07-26 10.0 12.0
7 2017-07-27 10.5 12.75
8 2017-07-28 10.5 12.75
9 2017-07-29 10.5 12.75
10 2017-07-30 10.5 12.75
11 2017-07-31 10.5 12.75
12 2017-08-01 15.25 19.125
13 2017-08-02 15.5 19.375
14 2017-08-03 15.5 19.375
15 2017-08-04 15.5 19.375
16 2017-08-05 16.25 20.625