SQL Server 字段提取拼音首字母

目前工作中遇到一个情况，需要将SQL Server中的一个字段提取拼音的首字母，字段由汉字、英文、数字以及“-”构成，百度了一堆，找到如下方法，记录一下，以备后用！

　　首先建立一个函数

--生成拼音首码
  CREATE  function  fn_GetPy(@str  nvarchar(4000))
  returns  nvarchar(4000)
  --WITH  ENCRYPTION
  as
  begin
  declare  @intLen int
  declare  @strRet nvarchar(4000)
  declare  @temp  nvarchar(100)
  set  @intLen  =  len(@str)
  set  @strRet  =  ‘‘
  while  @intLen  >  0
  begin
  set  @temp  =  ‘‘
  select  @temp  =  case
  when  substring(@str,@intLen,1)  >=  ‘帀‘  then  ‘Z‘
  when  substring(@str,@intLen,1)  >=  ‘丫‘  then  ‘Y‘
  when  substring(@str,@intLen,1)  >=  ‘夕‘  then  ‘X‘
  when  substring(@str,@intLen,1)  >=  ‘屲‘  then  ‘W‘
  when  substring(@str,@intLen,1)  >=  ‘他‘  then  ‘T‘
  when  substring(@str,@intLen,1)  >=  ‘仨‘  then  ‘S‘
  when  substring(@str,@intLen,1)  >=  ‘呥‘  then  ‘R‘
  when  substring(@str,@intLen,1)  >=  ‘七‘  then  ‘Q‘
  when  substring(@str,@intLen,1)  >=  ‘妑‘  then  ‘P‘
  when  substring(@str,@intLen,1)  >=  ‘噢‘  then  ‘O‘
  when  substring(@str,@intLen,1)  >=  ‘拏‘  then  ‘N‘
  when  substring(@str,@intLen,1)  >=  ‘嘸‘  then  ‘M‘
  when  substring(@str,@intLen,1)  >=  ‘垃‘  then  ‘L‘
  when  substring(@str,@intLen,1)  >=  ‘咔‘  then  ‘K‘
  when  substring(@str,@intLen,1)  >=  ‘丌‘  then    ‘J‘
  when  substring(@str,@intLen,1)  >=  ‘铪‘  then  ‘H‘
  when  substring(@str,@intLen,1)  >=  ‘旮‘  then  ‘G‘
  when  substring(@str,@intLen,1)  >=  ‘发‘  then  ‘F‘
  when  substring(@str,@intLen,1)  >=  ‘妸‘  then  ‘E‘
  when  substring(@str,@intLen,1)  >=  ‘咑‘  then  ‘D‘
  when  substring(@str,@intLen,1)  >=  ‘嚓‘  then  ‘C‘
  when  substring(@str,@intLen,1)  >=  ‘八‘  then  ‘B‘
  when  substring(@str,@intLen,1)  >=  ‘吖‘  then  ‘A‘
  else  rtrim(ltrim(substring(@str,@intLen,1)))
  end
  --对于汉字特殊字符，不生成拼音码
  if  (ascii(@temp)>127)  set  @temp  =  ‘‘
  --对于英文中小括号，不生成拼音码
  if  @temp  =  ‘(‘  or  @temp  =  ‘)‘  set  @temp  =  ‘‘
  select  @strRet  =  @temp  +  @strRet
  set  @intLen  =  @intLen  -  1
  end
  return  lower(@strRet)
  end 

执行语句

SELECT    需转换中文字段, dbo.fn_GetPy(中文字段) AS 列别名
FROM        表名称

感谢：Luckeryin