Additional Articles


Technical Article

Using ITWIZ.EXE to Automate Index Analysis

This process uses ITWIZ.EXE the command line version of the Index Tuning Wizard. SQL trace file information is stored in a table on production then transferred to a non-production server. ITWIZ is then run against the transferred trace data resulting in a UNICODE SQL script. This script has index creation and deletion information as well as script parameters in a remarks section.

2005-12-29

1,973 reads

Technical Article

SQL Server 2005 Integration Services, Part 2: Developing Custom Compon

The first phase of Project REAL included the migration of existing SQL Server 2000 DTS packages to SQL Server 2005 Integration Services (SSIS) for a large electronic retailer. One source of information for the data warehouse was from TLog files, which contained data from point-of-sale cash registers in stores. TLog files store data in packed decimal format. To extract and transform this data into a format suitable for loading into the relational data warehouse tables, it was necessary to unpack and parse the files. To achieve this, custom pipeline components were implemented to read and transform the data by extending the SSIS object model. This paper discusses what we learned while implementing the pipeline components for extracting and parsing data from the TLog parser

2005-12-27

2,067 reads

External Article

Consume Web Service from Access

A few months ago, I posted an article here at DBJ named How to Pass Access Data Across the Web. One reader expressed concern over using the Microsoft Internet Explorer library because of security issues. While I do not share his fear, I appreciate that others might, so I began to think about how the process could be enhanced by substituting a Web Service for the traditional ASP/Querystring web page approach described in the article. What follows is the fruit of those labors.

2005-12-21

2,821 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