问题描述
我正在尝试将基于 MySQL 的应用程序迁移到 Microsoft SQL Server 2005(不是出于选择,但就是这样).
I'm trying to migrate a MySQL-based app over to Microsoft SQL Server 2005 (not by choice, but that's life).
在最初的应用程序中,我们几乎使用了完全符合 ANSI-SQL 的语句,但有一个重要的例外——我们相当频繁地使用 MySQL 的 group_concat
函数.
In the original app, we used almost entirely ANSI-SQL compliant statements, with one significant exception -- we used MySQL's group_concat
function fairly frequently.
group_concat
是这样做的:给定一个表,比如员工姓名和项目......
group_concat
, by the way, does this: given a table of, say, employee names and projects...
SELECT empName, projID FROM project_members;
返回:
ANDY | A100
ANDY | B391
ANDY | X010
TOM | A100
TOM | A510
...这是您使用 group_concat 获得的结果:
... and here's what you get with group_concat:
SELECT
empName, group_concat(projID SEPARATOR ' / ')
FROM
project_members
GROUP BY
empName;
返回:
ANDY | A100 / B391 / X010
TOM | A100 / A510
所以我想知道的是:是否可以在 SQL Server 中编写一个用户定义的函数来模拟 group_concat
的功能?
So what I'd like to know is: Is it possible to write, say, a user-defined function in SQL Server which emulates the functionality of group_concat
?
我几乎没有使用 UDF、存储过程或类似的东西的经验,只是直接的 SQL,所以请不要过多解释:)
I have almost no experience using UDFs, stored procedures, or anything like that, just straight-up SQL, so please err on the side of too much explanation :)
推荐答案
没有真正简单的方法可以做到这一点.不过,这里有很多想法.
No REAL easy way to do this. Lots of ideas out there, though.
我找到的最好的一个:
SELECT table_name, LEFT(column_names , LEN(column_names )-1) AS column_names
FROM information_schema.columns AS extern
CROSS APPLY
(
SELECT column_name + ','
FROM information_schema.columns AS intern
WHERE extern.table_name = intern.table_name
FOR XML PATH('')
) pre_trimmed (column_names)
GROUP BY table_name, column_names;
或者如果数据可能包含诸如 <
Or a version that works correctly if the data might contain characters such as <
WITH extern
AS (SELECT DISTINCT table_name
FROM INFORMATION_SCHEMA.COLUMNS)
SELECT table_name,
LEFT(y.column_names, LEN(y.column_names) - 1) AS column_names
FROM extern
CROSS APPLY (SELECT column_name + ','
FROM INFORMATION_SCHEMA.COLUMNS AS intern
WHERE extern.table_name = intern.table_name
FOR XML PATH(''), TYPE) x (column_names)
CROSS APPLY (SELECT x.column_names.value('.', 'NVARCHAR(MAX)')) y(column_names)
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