我有另一个完全不同的解决方案，它根本不使用 COLUMNS_UPDATED，也不依赖于在运行时构建动态 SQL。（您可能希望在设计时使用动态 SQL，但那是另一回事。）
基本上你从插入和删除的表开始，对它们中的每一个进行反透视，这样你就只剩下每个唯一的键、字段值和字段名称列。然后你加入两者并过滤任何改变的东西。
这是一个完整的工作示例，包括一些测试调用以显示记录的内容。
-- -------------------- Setup tables and some initial data --------------------
CREATE TABLE dbo.Sample_Table (ContactID int, Forename varchar(100), Surname varchar(100), Extn varchar(16), Email varchar(100), Age int );
INSERT INTO Sample_Table VALUES (1,'Bob','Smith','2295','bs@example.com',24);
INSERT INTO Sample_Table VALUES (2,'Alice','Brown','2255','ab@example.com',32);
INSERT INTO Sample_Table VALUES (3,'Reg','Jones','2280','rj@example.com',19);
INSERT INTO Sample_Table VALUES (4,'Mary','Doe','2216','md@example.com',28);
INSERT INTO Sample_Table VALUES (5,'Peter','Nash','2214','pn@example.com',25);
CREATE TABLE dbo.Sample_Table_Changes (ContactID int, FieldName sysname, FieldValueWas sql_variant, FieldValueIs sql_variant, modified datetime default (GETDATE()));
GO
-- -------------------- Create trigger --------------------
CREATE TRIGGER TriggerName ON dbo.Sample_Table FOR DELETE, INSERT, UPDATE AS
BEGIN
SET NOCOUNT ON;
--Unpivot deleted
WITH deleted_unpvt AS (
SELECT ContactID, FieldName, FieldValue
FROM
(SELECT ContactID
, cast(Forename as sql_variant) Forename
, cast(Surname as sql_variant) Surname
, cast(Extn as sql_variant) Extn
, cast(Email as sql_variant) Email
, cast(Age as sql_variant) Age
FROM deleted) p
UNPIVOT
(FieldValue FOR FieldName IN
(Forename, Surname, Extn, Email, Age)
) AS deleted_unpvt
),
--Unpivot inserted
inserted_unpvt AS (
SELECT ContactID, FieldName, FieldValue
FROM
(SELECT ContactID
, cast(Forename as sql_variant) Forename
, cast(Surname as sql_variant) Surname
, cast(Extn as sql_variant) Extn
, cast(Email as sql_variant) Email
, cast(Age as sql_variant) Age
FROM inserted) p
UNPIVOT
(FieldValue FOR FieldName IN
(Forename, Surname, Extn, Email, Age)
) AS inserted_unpvt
)
--Join them together and show what's changed
INSERT INTO Sample_Table_Changes (ContactID, FieldName, FieldValueWas, FieldValueIs)
SELECT Coalesce (D.ContactID, I.ContactID) ContactID
, Coalesce (D.FieldName, I.FieldName) FieldName
, D.FieldValue as FieldValueWas
, I.FieldValue AS FieldValueIs
FROM
deleted_unpvt d
FULL OUTER JOIN
inserted_unpvt i
on D.ContactID = I.ContactID
AND D.FieldName = I.FieldName
WHERE
D.FieldValue <> I.FieldValue --Changes
OR (D.FieldValue IS NOT NULL AND I.FieldValue IS NULL) -- Deletions
OR (D.FieldValue IS NULL AND I.FieldValue IS NOT NULL) -- Insertions
END
GO
-- -------------------- Try some changes --------------------
UPDATE Sample_Table SET age = age+1;
UPDATE Sample_Table SET Extn = '5'+Extn where Extn Like '221_';
DELETE FROM Sample_Table WHERE ContactID = 3;
INSERT INTO Sample_Table VALUES (6,'Stephen','Turner','2299','st@example.com',25);
UPDATE Sample_Table SET ContactID = 7 where ContactID = 4; --this will be shown as a delete and an insert
-- -------------------- See the results --------------------
SELECT *, SQL_VARIANT_PROPERTY(FieldValueWas, 'BaseType') FieldBaseType, SQL_VARIANT_PROPERTY(FieldValueWas, 'MaxLength') FieldMaxLength from Sample_Table_Changes;
-- -------------------- Cleanup --------------------
DROP TABLE dbo.Sample_Table; DROP TABLE dbo.Sample_Table_Changes;
所以不要搞乱 bigint 位域和arth 溢出问题。如果您在设计时知道要比较的列，那么您不需要任何动态 SQL。
不利的一面是，输出格式不同，所有字段值都转换为 sql_variant，第一个可以通过再次旋转输出来修复，第二个可以通过根据您的知识重新转换为所需类型来修复表的设计，但这两者都需要一些复杂的动态sql。这两个在您的 XML 输出中可能都不是问题。这个问题的作用类似于将输出恢复为相同的格式。
编辑：查看下面的评论，如果您有一个可以更改的自然主键，那么您仍然可以使用此方法。您只需要使用 NEWID() 函数添加默认填充有 GUID 的列。然后使用此列代替主键。
您可能希望为该字段添加索引，但由于触发器中的已删除表和已插入表在内存中，因此它可能不会被使用并且可能会对性能产生负面影响。