Access can be a very quick and easy to use tool for working with SQL Server data and for quick and dirty projects, it might be the best tool. But there can be performance issues at times and Andy Warren digs into some of these based on some analysis of what Access does behind the scenes.
In this sample chapter, you'll get a full tutorial on how to create an end-to-end SSIS package including transformation, looping and archiving of files.
In the days when I contentedly cut procedural code, I was puzzled by the visceral rages of the database specialists; they were like the ship’s cook occasionally going berserk with a meat-cleaver. After I switched to database work, I realized why.”
New Author! And long time reader - Jeffrey was site member #712, almost 3 years and 130,000 members ago! This article describes the skills needed to progress from junior to intermediate to senior DBA.
Continuing with his series on working with SQL Server, Andy Warren looks at how long it can take to start or restart the services and why.
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.
When programming in T-SQL, the impact of NULL values can be severe in many cases, especially aggregates. New Author Peter Ward brings us a great explanation on how NULLs can impact things like SUM operations.
This article is the third in a series of four where I share my findings on baselining, monitoring, stress testing and performance tuning. It builds on the foundations of my previous articles on baselining and monitoring.
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
Redshift keeps its SYS_* monitoring views for seven days in cluster, which is fine...
By Steve Jones
I was updating my session for the Data API Builder (DAB) recently, mostly to...
I am excited to host T-SQL Tuesday for the first time. I want to...
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I have 3 instances of a brand new long running query that are executing on a SQL Server 2025 instance. Query store is enabled. One of the queries is killed by the administrator, one is cancelled by the user. The other runs to completion. How many rows are in Query Store for this query?
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