If you’ve ever wondered why your database queries sometimes seem to wait around doing nothing, or why two users can’t update the same record at the exact same moment, you’re dealing with locks. In SQL Server, locks are the fundamental mechanism that keeps your data consistent and prevents the chaos that would ensue if everyone could modify everything simultaneously.
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What is a Columnstore Index?
A columnstore index is a type of database index that stores data by column rather than by row. Traditional indexes (and tables) store data row-by-row, where all the values for a single record are kept together. Columnstore indexes flip this around, storing all values from a single column together instead.
This might seem like a small difference, but it fundamentally changes how the database reads and processes data. Columnstore indexes are designed for analytical queries that scan large amounts of data, performing aggregations, calculations, and filtering across millions or billions of rows.
How to Clear Query Store Data in SQL Server
SQL Server’s Query Store accumulates query execution history, plans, and runtime statistics over time. Eventually you may need to remove this data to free up space, start fresh after troubleshooting, or clear out information that’s no longer relevant. Fortunately, you can clear Query Store data without disabling the feature entirely.
What is Vertical Scaling?
Vertical scaling is the practice of increasing the capacity of a single server by adding more resources to it. For example more CPU power, RAM, storage, or faster hardware. Instead of adding more machines to handle increased load, you make your existing machine more powerful.
In database contexts, vertical scaling means upgrading your database server to more powerful hardware so it can handle more queries, store more data, and process transactions faster. It’s the most straightforward way to improve database performance.
What is Horizontal Scaling?
Horizontal scaling is the practice of adding more servers or machines to your system to handle increased load, rather than making individual servers more powerful. Instead of upgrading one server with more CPU and RAM, you add additional servers and distribute the work across all of them.
How to Force a Query Execution Plan in SQL Server
When the optimizer consistently chooses a poor execution plan for a query, you can force SQL Server to use a specific better-performing plan from Query Store. This can provide immediate relief while you investigate and fix the root cause of the poor plan choice.
What is Database Sharding?
Database sharding is a technique for splitting a large database into smaller, more manageable pieces called shards. Each shard contains a subset of the total data and operates as an independent database. Together, all the shards hold the complete dataset, but queries are distributed across them to improve performance and scalability.
List of Query Store Configuration Options in SQL Server
SQL Server’s Query Store provides a handy way to track query performance over time, making it easier to troubleshoot issues and optimize workloads. To get the most out of it, it helps to understand the various configuration options that control how it collects, stores, and manages data.
What is a Cloud Database?
A cloud database is a database that runs on cloud computing platforms rather than on local servers or personal computers. Instead of installing and managing database software on your own hardware, you access the database over the internet through a cloud provider like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform.
Basic Database Terms for Beginners
If you’re just getting into databases, the terminology can sometimes feel overwhelming. Between acronyms like SQL and CRUD, technical jargon like normalization and schema, and concepts that sound similar but mean different things, it’s easy to get lost before you even start.
Let’s break down the essential concepts you need to know to actually understand what people are talking about.