when try to convert varchar data type (mixed date formats) to a datetime data type resulted in an out-of-range value

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英文:

when try to convert varchar data type (mixed date formats) to a datetime data type resulted in an out-of-range value

问题

以下是要翻译的内容:

这些是存储在我的 started_at 列中的一些数值:

31/5/2022 10:27
1/5/2022 17:03
24/6/2022 9:54
.
.
.
2022-08-09 19:09:55
2022-08-18 14:58:56
2022-11-17 22:50:52

有超过 1'000'000 行数据,并且具有这两种混合日期格式。

因此,当我执行以下 SQL 尝试将其转换为 datetime 数据类型时:

SELECT 
    CONVERT(VARCHAR(30), CAST(started_at AS DATETIME), 103) 
FROM 
    [dbo].[testCyclistic12m]

我收到以下错误消息:

Msg 242,级别 16,状态 3,第 39 行
将 varchar 数据类型转换为 datetime 数据类型导致超出范围的值。

我不知道为什么会出现这个错误...

有人可以帮助我吗?我会非常感激。

英文:

These are some values stored in my started_at column:

31/5/2022 10:27 
1/5/2022 17:03
24/6/2022 9:54 
.
.
.
2022-08-09 19:09:55 
2022-08-18 14:58:56
2022-11-17 22:50:52

There are more than 1'000'000 rows and have mixed date formats like these 2.

So when I execute this SQL to try and convert to datetime datatype:

SELECT 
    CONVERT(VARCHAR(30), CAST(started_at AS DATETIME), 103) 
FROM 
    [dbo].[testCyclistic12m]

I get this error:

> Msg 242, Level 16, State 3, Line 39
> The conversion of a varchar data type to a datetime data type resulted in an out-of-range value.

I don't know why....

Can anyone help me? I'd appreciate it very much

答案1

得分: 1

以下是翻译好的部分:

SELECT COALESCE(try_convert(datetime, col1, 103), try_convert(datetime, col1, 121 )) AS converted_col1
, col1
FROM (
    VALUES (N'31/5/2022 10:27 ')
    , (N'1/5/2022 17:03')
    , (N'24/6/2022 9:54 ')
    , (N'2022-08-09 19:09:55 ')
    , (N'2022-08-18 14:58:56')
    , (N'2022-11-17 22:50:52')
) t (col1)

它首先尝试将日期转换为dd/mm/yyyy格式,然后尝试将其转换为常规的yyyy-mm-dd格式。

输出:

converted_col1 col1
2022-05-31 10:27:00.000 31/5/2022 10:27
2022-05-01 17:03:00.000 1/5/2022 17:03
2022-06-24 09:54:00.000 24/6/2022 9:54
2022-09-08 19:09:55.000 2022-08-09 19:09:55
2022-08-18 14:58:56.000 2022-08-18 14:58:56
2022-11-17 22:50:52.000 2022-11-17 22:50:52
英文:

Something like this perhaps:

SELECT	COALESCE(try_convert(datetime, col1, 103), try_convert(datetime, col1, 121 )) AS converted_col1
,	col1
FROM	(
	VALUES	(N'31/5/2022 10:27 ')
	,	(N'1/5/2022 17:03')
	,	(N'24/6/2022 9:54 ')
	,	(N'2022-08-09 19:09:55 ')
	,	(N'2022-08-18 14:58:56')
	,	(N'2022-11-17 22:50:52')
) t (col1)

It tries to cast to dd/mm/yyyy style first, and the regular yyyy-mm-dd in the second.

Output:

converted_col1 col1
2022-05-31 10:27:00.000 31/5/2022 10:27
2022-05-01 17:03:00.000 1/5/2022 17:03
2022-06-24 09:54:00.000 24/6/2022 9:54
2022-09-08 19:09:55.000 2022-08-09 19:09:55
2022-08-18 14:58:56.000 2022-08-18 14:58:56
2022-11-17 22:50:52.000 2022-11-17 22:50:52

答案2

得分: 0

你面临一个非常困难的问题,需要以稳健的方式解决。您希望"垃圾进,好数据出"。

CAST(started_at AS DATETIME)对于这个问题不适用,因为它不能接受所有可能的日期/时间文本格式。您需要以某种方式检测每行中存在的日期格式,并在CONVERT(DATETIME, started_at, style)中使用适当的style值。

如果不知道您的表中有多少不同的文本格式,很难给出更具体的建议。

英文:

You have an extraordinarily difficult problem to solve in a robust way. You want "garbage in, good data out".

CAST(started_at AS DATETIME) is unsuitable for this problem because it doesn't ingest all imaginable date / time text formats. You need somehow to detect which date format is present in each row and use the appropriate style value in CONVERT(DATETIIME, started_at, style).

Without knowing how many different text formats are in your table, it's difficult to give you more specific advice.

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  • 本文由 发表于 2023年6月25日 19:56:49
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