|
You are here |
surfingcomplexity.blog | ||
| | | | |
rcoh.me
|
|
| | | | | Many software engineers use database indexes every day, but few of us really understand how they work. In this post I'll explain: How indexing works in Postgres using B-Trees What B-Trees are Why they are a good fit for this problem Indexes in Postgres Postgres actually offers 4 different kinds of indexes for different use cases. In this post I'll be focusing on the "normal" index, the kind you get by default when you run create index. | |
| | | | |
timilearning.com
|
|
| | | | | Have you ever wondered how data stored in databases actually gets represented on your computer's hard disk? Or why some queries to your database tables benefit from adding indexes on columns? Well, whether you have or not, here's a series of posts that aim to detail my understanding of the journey from inserting a row to a database table, to actually retrieving that row. | |
| | | | |
blog.omega-prime.co.uk
|
|
| | | | | Something I recently became interested in is map data structures for external memory - i.e. ways of storing indexed data that are optimized for storage on disk. | |
| | | | |
mccue.dev
|
|
| | | [AI summary] The post advises choosing PostgreSQL as the default database for web applications due to its reliability, scalability, and better support compared to alternatives like SQLite, DynamoDB, MongoDB, and others, while cautioning against newer or experimental databases and proprietary solutions due to risks and lock-in. | ||