Count(*) vs Count(1) - SQL Server

Cover Image for Count(*) vs Count(1) - SQL Server
Matheus Mello
Matheus Mello
published a few days ago. updated a few hours ago

Count(*) vs Count(1) - SQL Server

The Battle of Counting in SQL Server

šŸ¤” Have you ever wondered if there's a significant difference between using Count(1) and Count(*) in SQL Server? Are you using one over the other out of habit? Let's dive into this debate and find out which one is the mightier contender when it comes to performance. šŸ’„

The Context

āœØ Imagine you're working with SQL Server 2005, and you stumble upon this question: Count(1) vs Count(*). You're not alone in this query. Many database enthusiasts have asked the same thing. So, let's explore this together! šŸš€

The Difference

šŸ”Ž First, let's understand the fundamental difference between Count(1) and Count(*). Count(1) counts all the occurrences of the literal value 1, whereas Count(*) counts all the rows in a table. Seems simple, right? But let's see how this affects performance. āš”ļø

Performance Showdown

šŸ”„ In terms of performance, both Count(1) and Count(*) yield the same number of results. However, Count(1) is faster in most cases! How come? It all boils down to how SQL Server handles these queries.

āš”ļø When you use Count(*), SQL Server fetches all the columns in the table, which takes more time and resources. On the other hand, Count(1) only needs to check if a row exists, which is a lighter operation and completes faster. So, if you're concerned about performance, choose Count(1) as your champion! šŸ’Ŗ

Compatibility Concerns

šŸ“¢ Before you rush off to change all your Count(*) to Count(1), keep in mind that some databases may not handle Count(1) correctly. It's always crucial to test your queries on different database systems to ensure compatibility. Better safe than sorry! šŸ¤“

The Final Verdict

šŸ† While Count(*) may have been a widely used convention in the past, Count(1) is the modern-day winner when it comes to performance in SQL Server. But remember, each database system is unique, so always test and validate your queries accordingly.

Your Turn!

šŸ’¬ Have you encountered any performance issues related to counting rows in SQL Server? What method did you use, and was it successful? Share your experiences in the comments below and let's enrich our collective knowledge! šŸ‘‡

Ready to Upgrade?

ā­ļø If you're hungry for more SQL Server tips, tricks, and performance optimizations, make sure to subscribe to our newsletter for regular updates. Level up your skills and stay ahead of the game! šŸ“ššŸ”„


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