DTS

SQLServerCentral Article

Exception handling in DTS

  • Article

While SSIS is taking the SQL Server 2005 world by storm, there are many DBAs still working with SQL Server 2000 and its ETL system: DTS. In this article, Jambu Krishnamurthy shows us how to modify the exception handling in a DTS package to get around the limitations of the designer.

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2007-12-14 (first published: )

9,322 reads

SQLServerCentral Article

DTS and Global Variables

  • Article

SQL Server 2000's DTS subsystem is a tremendously flexible environment for handling any number of tasks on your SQL Server. Alex Kersha used DTS to implment a task that manages the number of backup files on his server, which is conifgurable with a global variable. Read on and get the code to implement this task on your servers.

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2006-02-20

20,400 reads

SQLServerCentral Article

DTS Hashing

  • Article

DTS is a great tool in SQL Server 2000 for easily setting up jobs to import or export data. But it can also have security risks. New author Alex Kersha brings us a simple security technique to be sure that you are properly executing your DTS packages in a secure manner.

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2005-12-20

5,925 reads

SQLServerCentral Article

DTS Polling

  • Article

Lots of packages exist that will import data files for you, even if you do not know the file name ahead of time. But most of them expect the files to be there. New author Andre Quitta brings us a technique he has for checking to see if the files are even there before importing them.

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2005-12-05

8,509 reads

SQLServerCentral Article

Leveraging XP Excel , XML, and OPENXML for Data Imports

  • Article

DTS is a fantastic ETL tool and it is often used to import Excel documents. However this can be a manual process in many cases in setting up the package. New author Sloan Holliday brings us a way that you can leverage Office XP's automation facilities and XML to import data into SQL Server.

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2005-11-22

11,006 reads

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Question of the Day

Fun with JSON I

I have some data in a table:

CREATE TABLE #test_data
(
    id INT PRIMARY KEY,
    name VARCHAR(100),
    birth_date DATE
);

-- Step 2: Insert rows  
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers