ChatGPT Says SSMS Is the Best SQL Server Monitoring Tool
One thing I enjoy about AI chatbots is that they can help me recognize when I’ve missed something obvious.
One thing I enjoy about AI chatbots is that they can help me recognize when I’ve missed something obvious.
There’s a lot of hype, concern, and fear regarding generative AI lately. Tools like ChatGPT are so good at generating groups of words that it feels like magic– however, generative AI doesn’t have the ability to understand or verify the language it generates. For example, it’s been used to write news stories for CNET – but sometimes included facts that are just plain wrong.
One positive use case of a generative AI tool like ChatGPT is to ask it to make a case for different perspectives than your own, and use this as a starting point to broaden your understanding – with the knowledge that we need to verify everything ChatGPT tells us. As an example, let’s chat to ChatGPT about Object Relational Mapping tools (ORMs).
Hosted cloud databases make a lot of administrative tasks easier, or take care of them for you altogether.
But here are three things that I’ve found a little too easy to forget about Azure SQL Database.
We’ve just published a new article in the SQL docs, Tune nonclustered indexes with missing index suggestions . The article explains what the missing index feature is, limitations of the feature, and how to use missing index DMVs and missing index suggestions in Query Store to tune indexes.
During a discussion of troubleshooting query timeouts in Azure SQL Database recently, I wondered: can you find queries that timed out in Query Store?
You can.
We’ve recently updated the SQL Server and Azure SQL index architecture and design guide. This article is an in-depth guide to indexing in databases using the SQL Server engine, including SQL Server, Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics.
Our recent update adds a table to categorize the types of indexes discussed in the article, clarifies B-trees vs B+ trees, and describes how row locators (aka “secret columns”) are used in nonclustered indexes.
We now explicitly define ‘requests’ and ‘workers’ in the Azure SQL Database documentation, and we’ve cleaned up multiple places where we used to equate the two terms. In this post, I share the history of the two terms when it comes to Azure SQL Database, why the two were ever equated, and why things like this are tricky to change.
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