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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.

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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

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One thing that often amazes me is that many SQL Server developers do not actually measure the performance of their queries. Many of them thought that you needed external tools, more or less complicated, to run against your server, and they did not have the time or inclination to learn and try these. This article will describe a couple of much easier methods of measuring performance of queries.

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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