wor*_*joe 4 arrays postgresql aggregate-functions aggregation
假设我有一个查询返回生产作业表,并且在一列中我有过去 7 天每个作业的输出数组:
sku | job | outputs
-----------------------------
A1 | 123 | {2,4,6,5,5,5,5}
A1 | 135 | {0,0,0,3,5,7,9}
B3 | 109 | {3,2,3,2,3,2,3}
C5 | 144 | {5,5,5,5,5,5,5}
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如何编写一个按 SKU(产品编号)分组并按位置求和 7 天输出的查询?在本例中,您可以看到产品 A1 有两个生产作业:这些作业应合并到结果的一行中:
sku | outputs
--------------------------
A1 | {2,4,6,8,10,12,14}
B3 | {3,2,3,2,3,2,3}
C5 | {5,5,5,5,5,5,5}
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您应该使用序数取消数组的嵌套,计算按 sku 和序数分组中的元素总和,最后使用按 sku 分组的序数将总和聚合到数组中:
select sku, array_agg(elem order by ordinality) as outputs
from (
select sku, ordinality, sum(elem) as elem
from jobs
cross join unnest(outputs) with ordinality as u(elem, ordinality)
group by 1, 2
) s
group by 1
order by 1
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如果您经常在各种上下文中需要此功能,那么创建自定义聚合可能是合理的:
create or replace function sum_int_arrays(int[], int[])
returns int[] language sql immutable as $$
select array_agg(coalesce(a, 0)+ b)
from unnest($1, $2) as u(a, b)
$$;
create aggregate sum_int_array_agg(integer[]) (
sfunc = sum_int_arrays,
stype = int[]
);
select sku, sum_int_array_agg(outputs)
from jobs
group by 1
order by 1
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