Articles

External Article

Techniques For Improving SQL Query Performance - Indexing, Parameterization and Partitioning

You are tasked with examining poor performance for queries on a certain table, or range of tables. Perhaps a sales report is timing out or running unacceptably slow; perhaps your web application is failing to return the result set before the application timeout is reached. You need to find out what's causing the bottleneck, and optimize either the queries used, the table schemata, or both.

2013-09-06

6,400 reads

External Article

Getting Data between Excel and SQL Server using ODBC

With ODBC, you can summarise, and select just the data you need, in an Excel workbook before importing it into SQL Server. You can join data from different areas or worksheets. You can even get data from the result of a SQL Server SELECT statement into an Excel spreadsheet. Phil Factor shows how, and warns of some of the pitfalls.

2013-09-05

4,816 reads

Technical Article

New Enhanced Column Store Index in SQL Server 2014 – Part 1

Column Store Index, which improves performance of data warehouse queries several folds, was first introduced in SQL Server 2012. Unlike regular indexes or heaps, which store data in B-Tree structure (in row-wise fashion), the column store index stores data in columnar fashion and uses compression aggressively to reduce the disk I/O needed to serve the query request. In this article, Arshad Ali talks about the new enhanced columnstore index feature in SQL Server 2014.

★ ★ ★ ★ ★ ★ ★ ★ ★ ★

You rated this post out of 5. Change rating

2013-09-04

2,487 reads

External Article

Opportunity for Business Intelligence developer

Red Gate is looking for a Business Intelligence Developer to work with our internal development team on creating business intelligence solutions. You'll be responsible for designing, building, and testing end-to-end BI solutions using the Microsoft BI stack, so we'll expect you to be passionate about understanding data and generating a universe of analytics for your customers – our Red Gaters.

2013-09-04

3,709 reads

External Article

New SQL Monitor Custom Metric: Large Transaction Log Files

If the transaction log autogrows rapidly, it can suggest that log backups are not being carried out frequently enough, or another resource may be preventing the log from truncating. This metric measures the number of transaction log files that are greater than 10 GB. The associated alert is raised when the number of files exceeds a specified threshold.

2013-09-03

2,422 reads

Blogs

Goodbye, Microsoft

By

A few years ago I took a new job at Microsoft, working as a...

The SUM of Nothing: #SQLNewBlogger

By

I caught this interesting item over on Pinal Dave’s blog: Eleven Interview Questions that...

How to Move the SSMS Status Bar to the Top and Color-Code SQL Server Connections

By

I use color-coded connections in SSMS to distinguish Production, Pre-Production, UAT, and Development. But...

Read the latest Blogs

Forums

Today's AI

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Today's AI

Split Large Queries in Athena with a Simple Modulo Trick

By Rahul Gupta

Comments posted to this topic are about the item Split Large Queries in Athena...

Finding Trailing Spaces

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Finding Trailing Spaces

Visit the forum

Question of the Day

Finding Trailing Spaces

I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:

CustomerID CustomerName PreferredName
1          Steve        Steve               
2          Andy         Andy               
3          Brian        Brian               
4          Allan        Allan               
5          Devin        Devin               
6          Steve        Steve               
7          Sally        Sally
I want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT 
       CustomerID,
       CustomerName,
       PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName);

See possible answers