Question

我有一张表，我需要根据日期列更新ID字段。

表A

import numpy as np

arr1 = [np.array([1, 2, 3]), np.array([1, 2]), np.array([2, 3])]
arr2 = [np.array([20, 50, 30]), np.array([50, 50]), np.array([75, 25])]

maxi = []
for i in range(len(arr1)):
    maxi.append(np.max(arr1[i]))
maxi = np.max(maxi)
output = np.zeros((len(arr2),maxi))
for i in range(len(arr1)):
    for k in range(len(arr1[i])):
        output[i][k]=arr2[i][k]

表B

H_MEP_ID|_LoadDate                  |_EndDate                |ID
12312   |2015-04-19 12:14:52.733    |2016-06-16 17:19:56.613 |72
12312   |2016-06-16 17:19:53.403    |NULL                    |83

更新脚本后表B的外观如何。

H_MEP_ID|MeasureDate|MeasureDateTime    |ID
12312   |2015-10-02 |2015-10-02 23:00   |NULL
12312   |2015-11-01 |2015-11-01 23:00   |NULL
12312   |2015-11-02 |2015-11-02 23:00   |NULL
12312   |2016-06-16 |2016-06-16 23:00   |NULL

有人有任何建议如何进行？

表B有111M行，如何在MeasureDate字段上用while循环拆分查询？

Answer 1

   update b
    set 
    b.id=a.id
    from
    tablea a
    join
    tableb b
    on
    b.H_MEP_ID=a.H_MEP_ID
    and b.meaure_datetime between a.loaddate and isnull(a.enddate,getdate())

根据日期更新ID列

1 个答案: