TSQL Challenge 51 - Convert long Binary strings to Decimal strings
This challenge invites you to write a query that converts binary values into decimal format.
Slow in the Application, Fast in SSMS? Understanding Performance Mysteries
When I read various forums about SQL Server, I frequently see questions from deeply mystified posters. They have identified a slow query or stored procedure in their application. They cull the SQL batch from the application and run it in SQL Server Management Studio (SSMS) to analyse it, only to find that the response is instantaneous. At this point they are inclined to think that SQL Server is all about magic. A similar mystery is when a developer has extracted a query in his stored procedure to run it stand-alone only to find that it runs much faster – or much slower – than inside the procedure.
Concatenating Rows
Often in database design we store different values in rows to take advantage of a normalized design. However many times we need to combine multiple rows of data into one row for a report of some sort. New author Carl P. Anderson brings us some interesting T-SQL code to accomplish this.
SLA Contracts
This Friday Steve Jones talks about the commitments and contracts that you may have with your customers. Do you know what they are? Is the contract explicitly spelled out? Take this Friday's poll and share your answer with everyone else.
Look-up Tables in SQL
Lookup tables can be a force for good in a relational database. Whereas the 'One True Lookup Table' remains a classic of bad database design, an auxiliary table that holds static data, and is used to lookup values, still has powerful magic. Joe Celko explains....
T-SQL Quiz 2011
The 2011 edition of MVP Jacob Sebastian's T-SQL Quiz is underway. You can take part in the quiz each day, submitting your answers for the chance to show off your knowledge and perhaps win some prizes.
Slow Fixes
Today we have an editorial reprinted from Jan 15, 2006 as Steve is on vacation. This one talks about the patching process at Microsoft, and why it sometimes is slower than we might like.
Changes to the SSIS Slowly Changing Dimension Component
Probably not the kind of change you're expecting. I've recently been contacted by the Kimball Group, and they've asked me...
How To Use Regular Expressions for Data Validation and Cleanup
You need to provide data validation at the server level for complex strings like phone numbers, email addresses, etc. You may also need to do data cleanup / standardization before moving it from source to target. Although SQL Server provides a fair number of string functions, the code developed with these built-in functions can become complex and hard to maintain or reuse.
Controlling Growth of a Distribution Database
This article provides a practical example of minimizing the growth of a distribution database.
Blogs
PostgreSQL Support in the Data API Builder
By Steve Jones
Next week I’m at VS Live in San Diego (register and join me) and...
Ten Years of PowerShell
Ten years ago today, I filmed a Pluralsight Play by Play on open source...
T-SQL Tuesday #202: 100 Hours
By Steve Jones
It’s time for T-SQL Tuesday again and this is a great prompt to start...
Forums
Stored Procedures for Server-Level Object and Column Search
Comments posted to this topic are about the item Stored Procedures for Server-Level Object...
Databricks Genie Spaces for SQL Analysts: Natural Language Querying Without Leaving Your Data Platform
Comments posted to this topic are about the item Databricks Genie Spaces for SQL...
The Costs of Multiple Platforms
Comments posted to this topic are about the item The Costs of Multiple Platforms
Question of the Day
RegEx Functions II
I have this data in a table in a SQL Server 2025 database:
EmailAddressID EmailAddress 7 dylan0@ADVENTURE-WORKS.COM 8 Diane1@ADVENTURE-WORKS.COMIf I run this query, which row(s) are returned?
SELECT top 10 * FROM person.EmailAddress WHERE REGEXP_LIKE(EmailAddress, '^d') AND BusinessEntityID IN (7,8)See possible answers