Kimberly L. Tripp

Kimberly L.
Tripp

Kimberly L. Tripp has been working with SQL Server since 1990, and she’s worked as a consultant, trainer, speaker, and writer specializing in core SQL Server performance tuning and availability since 1995.

Articles
Using the newsequentialid() GUID Function
In SQL Server 2005, you can use a new GUID function called newsequentialid() to populate your uniqueidentifer column.
Essential Aspects of Database Design 4
What's important to consider in designing a database? For optimal performance, you need to be mindful about three interrelated factors: indexing, maintenance, and statistics. Here's some advice to get you started in the planning process.
Database Design for Performance 3
In a database performance-engineering process, applying the right design techniques will ensure smooth-running operations. Here’s a laundry list of essential technical items you need to include in your process.
An Ounce of Prevention
Yes, you need to plan well for disaster recovery, but consider spending as much time on disaster prevention and minimization.
Recovering from Isolated Corruption
When disaster strikes only a subset of data, take the easiest route to recovery. Why undertake a full database restoration if faster recovery options are available?
The Best Place for Bulk_Logged
If your environment can’t afford data loss, your safest bet is to use the Full database recovery model as your primary recovery model and control changes through Bulk_Logged.
Detailed Aggregates 2
When you want more than just the summary data that GROUP BY can give, using COMPUTE and COMPUTE BY is the best way to get the details and aggregates.
Viewer Advisory
Learn what you can and can't do with SQL Server views, and a few tips on better viewing habits.
The View from Here 2
Part one in a series of articles that explain everything you need to know about using views and achieving the best query performance with them.
T-SQL Tutor Project, December 2002
Here's a small homework assignment to help you create and access views.
Simplify, Parameterize, Reuse 1
Until the advent of SQL Server 2000, if you wanted to encapsulate a simple expression, you had to hard-code it in a view. Now you can use a UDF to encapsulate the expression and reuse it. Flexibility is the key.
T-SQL Tutor Project - 01 Oct 2002
This homework assignment can help you further improve your ability to write scalar UDFs.
Datetime for Durable Databases 1
Developers can use the tools in SQL Server 7.0 and earlier releases to script datetime data for storage in existing databases, but the scalar UDF introduced in SQL Server 2000 is more flexible, efficient, and user friendly.
T-SQL Tutor Project, September 2002
For this homework assignment, try your hand at creating a UDF that returns datetime data in a specified format.
Restoring After Isolated Disk Failure 1
Using the file and filegroup backup strategy can help you quickly and easily recover from isolated failures.

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From the Blogs
Sep 1, 2015
blog

Stop Using INFORMATION_SCHEMA and SysObjects for Exists Checks

Code like this isn’t optimal: IF EXISTS(SELECT * FROM sys.objects WHERE name = N'TableToDrop' AND type = 'U')         DROP TABLE TableToDrop; GO Neither is this: IF EXISTS(SELECT TABLE_NAME FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'TableToDrop')         DROP TABLE TableToDrop; GO Yet, I see both of those used all of the time – over and over again. Even though it’s 2015.  ...More
Aug 27, 2015
blog

A Replacement for Maintenance Plan Backups 1

This blog post is a bit of a ‘repeat’ – since I already covered much of the rationale behind this post in Part 23 of my multi-part series on AlwaysOn Availability Groups and SQL Server Agent Jobs. But, I also figured that this is enough of an important topic to merit its own blog post....More
Aug 19, 2015
blog

Looking forward to Containers

Virtualization has long been a staple when it comes to computing. In essence, virtualization is really just the use of abstraction to make things either easier to manage or more fault-tolerant. Disks, for example, have long been virtualized in the sense that a single, physical, can easily be divided up into multiple logical (or virtual) volumes (or drives) just as easily as a number of discreet physical disks can also be virtualized into a single drive (via RAID) – which can further be partitioned into volumes, LUNs, and so....More
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