高效的前向填充 bigquery
Posted
技术标签:
【中文标题】高效的前向填充 bigquery【英文标题】:efficient forward fill bigquery 【发布时间】:2021-07-29 23:28:53 【问题描述】:我正在尝试在 bigquery 中转发填充表,但在执行查询时资源不足。表大小为 2GB。 这张桌子看起来像这样:
with t as (
select timestamp '2021-05-01 00:00:01' as time, 10 as number union all
select timestamp '2021-05-01 05:00:01' as time, NULL as number union all
select timestamp '2021-05-01 23:00:01' as time, 20 as number union all
select timestamp '2021-05-02 00:00:01' as time, NULL as number union all
select timestamp '2021-05-02 01:00:01' as time, NULL as number union all
select timestamp '2021-05-02 05:00:01' as time, 12 as number
)
time | number |
---|---|
2021-05-01 00:00:01 | 10 |
2021-05-01 05:00:01 | NULL |
2021-05-01 23:00:01 | 20 |
2021-05-02 00:00:01 | NULL |
2021-05-02 01:00:01 | NULL |
2021-05-02 05:00:01 | 12 |
想要的输出是:
time | number |
---|---|
2021-05-01 00:00:01 | 10 |
2021-05-01 05:00:01 | 10 |
2021-05-01 23:00:01 | 20 |
2021-05-02 00:00:01 | 20 |
2021-05-02 01:00:01 | 20 |
2021-05-02 05:00:01 | 12 |
我目前的解决方案是:
SELECT time,
LAST_VALUE(number IGNORE NULLS) OVER(ORDER BY time) AS number
FROM t
它抛出:
Resources exceeded during query execution: The query could not be executed in the allotted memory.
问题在于 ORDER BY 的 OVER。 我尝试按天使用分区运行查询,并成功执行。
SELECT time,
LAST_VALUE(number IGNORE NULLS) OVER(PARTITION BY DATETIME_TRUNC(time, day) ORDER BY time) AS number
FROM t
time | number |
---|---|
2021-05-01 00:00:01 | 10 |
2021-05-01 05:00:01 | 10 |
2021-05-01 23:00:01 | 20 |
2021-05-02 00:00:01 | NULL |
2021-05-02 01:00:01 | NULL |
2021-05-02 05:00:01 | 12 |
问题是它仍然有空值,但比原始表少了大约 500 倍。不确定是否可以基于此解决问题。 有什么有效的方法可以解决这个问题吗?
【问题讨论】:
【参考方案1】:试试下面
SELECT time,
NTH_VALUE(number, 1 IGNORE NULLS) OVER(ORDER BY time DESC ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING ) AS number
FROM t
或
SELECT time,
FIRST_VALUE(number IGNORE NULLS) OVER(ORDER BY time DESC ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING ) AS number
FROM t
我没有要测试的真实数据的好例子 - 所以只是猜测
【讨论】:
以上是关于高效的前向填充 bigquery的主要内容,如果未能解决你的问题,请参考以下文章