Question

我在SQL中有一个Table1。

ID | Provider | AdviserName   | PolicyNumber |
---|----------|---------------|--------------|
1  | Asgard   | John Smith    | A1           |
2  | Asgard   | Andrew Bailey | A2           |
3  | BT       | Tony Saw      | B1           |
4  | BT       | Greg Lee      | B2           |
5  | BT       | Jenny Main    | B3           |
6  | Zurich   | Beth Bond     | Z1           |
7  | Zurich   | Fang Li       | Z2           |
8  | Zurich   | Garry Low     | Z3           |

我需要将此表导出到.CSV（Microsoft Excel）并在每个提供程序之间进行拆分。

Agard.csv

ID | Provider | AdviserName   | PolicyNumber |
---|----------|---------------|--------------|
1  | Asgard   | John Smith    | A1           |
2  | Asgard   | Andrew Bailey | A2           |

BT.csv

ID | Provider | AdviserName   | PolicyNumber |
---|----------|---------------|--------------|
3  | BT       | Tony Saw      | B1           |
4  | BT       | Greg Lee      | B2           |
5  | BT       | Jenny Main    | B3           |

Zurich.csv

ID | Provider | AdviserName   | PolicyNumber |
---|----------|---------------|--------------|
6  | Zurich   | Beth Bond     | Z1           |
7  | Zurich   | Fang Li       | Z2           |
8  | Zurich   | Garry Low     | Z3           |

我尝试过使用Foreach循环容器，但它没有区分提供程序。（顺便说一句，我有超过50个提供商被分成不同的.csv文件）。

我正在使用SQL Server 2012.感谢您的帮助。

Answer 1

您可以在SQL中执行此操作，不需要使用SSIS，它也可以使用，但是您可以在SQL中执行此操作。

首先确保＆＃39; xp_cmdshell＆＃39;已启用。

> [2] + [4]
"24"
> + [2] + [4]
"24"
> (+[2]) + (+[4])
6
> +[2] + [4,5]
"24,5"
> // which, incidentally, looks like a european-formatted number, but I see
> // that that's just an accident (still another possibility for confusion)

使用游标和bcp.exe实用程序，您可以获得所需的结果

-- To allow advanced options to be changed.
EXEC sp_configure 'show advanced options', 1
GO
-- To update the currently configured value for advanced options.
RECONFIGURE
GO
-- To enable the feature.
EXEC sp_configure 'xp_cmdshell', 1
GO
-- To update the currently configured value for this feature.
RECONFIGURE
GO

这将导致临时文件夹中有3个.csv文件。希望这会有所帮助。

Answer 2

请参阅下面的示例。这将做你想要的。

-- DROP TABLE Reporting_Table 
CREATE TABLE Reporting_Table (
       ID    varchar(10),
       IssueDate     Date,
       ExpirationDate    Date,
       Principal     Money,
       Interest  Money,
       Qtrs      Integer,
       Amount     Money)

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('1232949523', '01/01/2017', '12/31/2019', 1000000, .02, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('1232949523', '03/05/2017', '12/31/2018', 5200000, .01, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('1232949523', '03/31/2017', '06/01/2020', 4900000, .015, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('9567323294', '06/30/2017', '05/22/2019', 3500000, .02, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('9567323294', '09/17/2017', '11/21/2022', 2000000, .02, Null, Null);

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('9567323294', '01/01/2017', '12/31/2019', 1000000, .02, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('9967949523', '03/05/2017', '12/31/2018', 5200000, .01, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('9967949523', '03/31/2017', '06/01/2020', 4900000, .015, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('9967949523', '06/30/2017', '05/22/2019', 3500000, .02, Null, Null); 

INSERT INTO Reporting_Table (ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount)
VALUES ('9967949523', '09/17/2017', '11/21/2022', 2000000, .02, Null, Null);

SELECT ID, IssueDate, ExpirationDate, Principal, Interest, (Principal * Interest) As Amount
FROM Reporting_Table



select *, ntile(5) over(order by Principal) as tile_nr from Reporting_Table

Select *
From Reporting_Table


ALTER FUNCTION dbo.fxnExample (@Parameter1 NVARCHAR(255))
RETURNS TABLE
AS
RETURN
(
    SELECT ID, IssueDate, ExpirationDate, Principal, Interest, Qtrs, Amount
    FROM Reporting_Table
    WHERE id = @Parameter1
)


-- Usage Example
SELECT * FROM dbo.fxnExample('1232949523')   -- only data from '1'
SELECT * FROM dbo.fxnExample('9567323294')   -- only data from '2'
SELECT * FROM dbo.fxnExample('9967949523')   -- only data from '3'


-- SPLIT A TABLE INTO EQUAL HALFS


select *, ntile(2) over(order by ID) as tile_nr from Reporting_Table

使用SQL创建多个CSV文件

2 个答案: