SELECT CONVERT(varchar(100), GETDATE(), 0): 05 16 2006 10:57AM
SELECT CONVERT(varchar(100), GETDATE(), 1): 05/16/06
SELECT CONVERT(varchar(100), GETDATE(), 2): 06.05.16
SELECT CONVERT(varchar(100), GETDATE(), 3): 16/05/06
SELECT CONVERT(varchar(100), GETDATE(), 4): 16.05.06
SELECT CONVERT(varchar(100), GETDATE(), 5): 16-05-06
SELECT CONVERT(varchar(100), GETDATE(), 6): 16 05 06
SELECT CONVERT(varchar(100), GETDATE(), 7): 05 16, 06
SELECT CONVERT(varchar(100), GETDATE(), 8): 10:57:46
SELECT CONVERT(varchar(100), GETDATE(), 9): 05 16 2006 10:57:46:827AM
SELECT CONVERT(varchar(100), GETDATE(), 10): 05-16-06
SELECT CONVERT(varchar(100), GETDATE(), 11): 06/05/16
SELECT CONVERT(varchar(100), GETDATE(), 12): 060516
SELECT CONVERT(varchar(100), GETDATE(), 13): 16 05 2006 10:57:46:937
SELECT CONVERT(varchar(100), GETDATE(), 14): 10:57:46:967
SELECT CONVERT(varchar(100), GETDATE(), 20): 2006-05-16 10:57:47
SELECT CONVERT(varchar(100), GETDATE(), 21): 2006-05-16 10:57:47.157
SELECT CONVERT(varchar(100), GETDATE(), 22): 05/16/06 10:57:47 AM
SELECT CONVERT(varchar(100), GETDATE(), 23): 2006-05-16
SELECT CONVERT(varchar(100), GETDATE(), 24): 10:57:47
SELECT CONVERT(varchar(100), GETDATE(), 25): 2006-05-16 10:57:47.250
SELECT CONVERT(varchar(100), GETDATE(), 100): 05 16 2006 10:57AM
SELECT CONVERT(varchar(100), GETDATE(), 101): 05/16/2006
SELECT CONVERT(varchar(100), GETDATE(), 102): 2006.05.16
SELECT CONVERT(varchar(100), GETDATE(), 103): 16/05/2006
SELECT CONVERT(varchar(100), GETDATE(), 104): 16.05.2006
SELECT CONVERT(varchar(100), GETDATE(), 105): 16-05-2006
SELECT CONVERT(varchar(100), GETDATE(), 106): 16 05 2006
SELECT CONVERT(varchar(100), GETDATE(), 107): 05 16, 2006
SELECT CONVERT(varchar(100), GETDATE(), 108): 10:57:49
SELECT CONVERT(varchar(100), GETDATE(), 109): 05 16 2006 10:57:49:437AM
SELECT CONVERT(varchar(100), GETDATE(), 110): 05-16-2006
SELECT CONVERT(varchar(100), GETDATE(), 111): 2006/05/16
SELECT CONVERT(varchar(100), GETDATE(), 112): 20060516
SELECT CONVERT(varchar(100), GETDATE(), 113): 16 05 2006 10:57:49:513
SELECT CONVERT(varchar(100), GETDATE(), 114): 10:57:49:547
SELECT CONVERT(varchar(100), GETDATE(), 120): 2006-05-16 10:57:49
SELECT CONVERT(varchar(100), GETDATE(), 121): 2006-05-16 10:57:49.700
SELECT CONVERT(varchar(100), GETDATE(), 126): 2006-05-16T10:57:49.827
SELECT CONVERT(varchar(100), GETDATE(), 130): 18 ???? ?????? 1427 10:57:49:907AM
SELECT CONVERT(varchar(100), GETDATE(), 131): 18/04/1427 10:57:49:920AM
说明:
使用 CONVERT:
CONVERT ( data_type [ ( length ) ] , expression [ , style ] )
参数
expression
是任何有效的 Microsoft SQL Server" 表达式。。
data_type
目标系统所提供的数据类型,包括 bigint 和 sql_variant。不能使用用户定义的数据类型。
length
nchar、nvarchar、char、varchar、binary 或 varbinary 数据类型的可选参数。
style
日期格式样式,借以将 datetime 或 smalldatetime 数据转换为字符数据(nchar、nvarchar、char、varchar、nchar 或 nvarchar 数据类型);或者字符串格式样式,借以将 float、real、money 或 smallmoney 数据转换为字符数据(nchar、nvarchar、char、varchar、nchar 或 nvarchar 数据类型)。
SQL Server 支持使用科威特算法的阿拉伯样式中的数据格式。
在表中,左侧的两列表示将 datetime 或 smalldatetime 转换为字符数据的 style 值。给 style 值加 100,可获得包括世纪数位的四位年份 (yyyy)。
不带世纪数位 (yy) 带世纪数位 (yyyy)
标准
输入/输出**
- 0 或 100 (*) 默认值 mon dd yyyy hh:miAM(或 PM)
1 101 美国 mm/dd/yyyy
2 102 ANSI yy.mm.dd
3 103 英国/法国 dd/mm/yy
4 104 德国 dd.mm.yy
5 105 意大利 dd-mm-yy
6 106 - dd mon yy
7 107 - mon dd, yy
8 108 - hh:mm:ss
- 9 或 109 (*) 默认值 + 毫秒 mon dd yyyy hh:mi:ss:mmmAM(或 PM)
10 110 美国 mm-dd-yy
11 111 日本 yy/mm/dd
12 112 ISO yymmdd
- 13 或 113 (*) 欧洲默认值 + 毫秒 dd mon yyyy hh:mm:ss:mmm(24h)
14 114 - hh:mi:ss:mmm(24h)
- 20 或 120 (*) ODBC 规范 yyyy-mm-dd hh:mm:ss[.fff]
- 21 或 121 (*) ODBC 规范(带毫秒) yyyy-mm-dd hh:mm:ss[.fff]
- 126(***) ISO8601 yyyy-mm-dd Thh:mm:ss.mmm(不含空格)
- 130* Hijri**** dd mon yyyy hh:mi:ss:mmmAM
- 131* Hijri**** dd/mm/yy hh:mi:ss:mmmAM
* The default values (style 0 or 100, 9 or 109, 13 or 113, 20 or 120, 21 or 121) always return the century (yyyy).
** Input when converted to datetime; output when converted to character data.
*** Specifically for XML. For conversion from datetime or smalldatetime to character data, the output format is as shown in the table. For conversions from float, money, or smallmoney to character data, the output is equivalent to style 2. For conversions from real to character data, the output is equivalent to style 1.
****Hijri is a calendar system with several variations, of which Microsoft SQL Server" 2000 uses the Kuwaiti algorithm.
Important By default, SQL Server interprets two-digit years based on the cutoff year 2049. That is, The two-digit year 49 is interpreted as 2049, and the two-digit year 50 is interpreted as 1950. Many client applications, such as those based on OLE Automation objects, use 2030 as the cutoff year. Provides a configuration option ("Two-digit cutoff year") to change the cutoff year used by SQL Server and treat dates consistently. However, the safest way is to specify a four-digit year when converting from smalldatetime. Styles containing seconds or milliseconds will display zeros at these positions when character data is used. When converting from datetime or smalldatetime values, unwanted date parts can be truncated by using the appropriate char or varchar data type length

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