希望这只是一个简单的问题，涉及到Sql 2008查询的性能优化。
我曾为那些在其ETL过程和部分网站中广泛使用Stored Procs的公司工作。我见过需要根据有限一组关键值检索特定记录的情况。下面是伪代码所示的三种不同处理方式。
动态SQL将字符串连接在一起并执行。
EXEC( SELECT * FROM TableX WHERE xId IN ( + @Parameter + )
使用用户定义的函数将分隔字符串拆分成表格。
SELECT * FROM TableY INNER JOIN SPLIT(@Parameter) ON yID = splitId
使用XML作为参数，而不是限定的varchar值
SELECT * FROM TableZ JOIN @Parameter.Nodes(xpath) AS x (y) ON ...
尽管我知道在第一个片段中创建动态SQL是一个不好的想法，原因众多，但是我的好奇心来自最后两个示例。在我的代码中通过XML传递此类列表是否更有效，就像片段3中一样，还是最好仅限制值并使用udf来处理它？
现在有第四个选择 - 表值参数，可以将一张值表作为参数传递到存储过程中，然后像普通表变量一样使用。我更喜欢这种方法而不是 XML（或 CSV 解析方法）。
我不能引用所有不同方法之间的性能数据，但这是我要尝试的一个——我建议对它们进行一些真实的性能测试。
Edit:
A little more on TVPs. In order to pass the values in to your sproc, you just define a SqlParameter (SqlDbType.Structured) - the value of this can be set to any IEnumerable, DataTable or DbDataReader source. So presumably, you already have the list of values in a list/array of some sort - you don t need to do anything to transform it into XML or CSV.
我认为这也使得存储过程更清晰、简单且易于维护，提供了一种更自然的实现终结果的方式。其中一个主要点是SQL在处理基于集合、非循环、非字符串操作的活动时表现最佳。
这并不意味着它对传递的大量值的表现会很好。但对于较小的集合（最多约1000个），它应该可以接受。
使用UDF调用比使用内置函数拆分XML成本稍高。
然而，这只需要在每个查询中执行一次，因此性能差异将可以忽略不计。
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