Leverage SQL indexing to hurry up your queries. Study when to index, when to not, and the way indexing works beneath the hood.
SQL indexing is a time period typically thrown round in information circles — you might have heard phrases like “simply apply an index”. Additionally it is a query typically requested in interviews — “what steps can take to enhance question occasions on desk X?”. It’s one thing that’s syntactically simple to implement however I’ve discovered not a lot consideration is paid to what really occurs beneath the hood. On this article I intention to just do that by utilizing a relational MySQL Database (DB). I’ll cowl what an index is, easy methods to implement it, the way it works beneath the hood, together with some concerns of when to not use indexes. As with many applied sciences, even SQL indexes have their trade-offs.
In my examples I exploit a easy MySQL container from Docker. I don’t cowl how this works however be at liberty to achieve out you probably have any questions. I’ll present the code I exploit to populate the DB on this article so that you can adapt to your personal use case and experiment your self.
I begin off with a high-level overview. The extra granular element is afterward within the article. As such, I hope I can present worthwhile insights to a large readership of various technical inclinations. Should you’re like me you’ll discover the visualisations in…