news.volyx.in

What I wish someone told me about Postgres (challahscript.com)

487 points by todsacerdoti · 633 days ago · 190 comments on HN

Article summary

The article provides tips and advice for working with Postgres, a popular database management system. It covers topics such as data normalization, SQL eccentricities, and indexing, as well as how to make the most of the psql command-line tool. The author shares their personal experience and lessons learned from working with Postgres, with the goal of helping others avoid common pitfalls and improve their workflow. The article also touches on the importance of understanding how Postgres works and how to optimize queries for better performance.

Main themes

  • Postgres tips and tricks
  • Database normalization
  • SQL best practices
  • Indexing and query optimization
  • psql command-line tool
  • Database performance

What commenters say

  • Using language models like ChatGPT to generate SQL queries can be helpful, but it's also important to understand the underlying database schema and query optimization techniques.
  • Dumping a database schema into a language model can potentially expose sensitive information, such as intellectual property.
  • Railroad diagrams can be a useful tool for understanding complex syntax, but they can also be confusing and out of sync with the actual syntax-parsing code.
  • Writing SQL queries with keywords in all caps is not necessary, but it can improve legibility and visual pattern matching.
  • Some commenters disagree on the usefulness of language models for generating SQL queries, with some finding them helpful and others preferring to write queries manually.
  • The importance of understanding how Postgres works and how to optimize queries is a key takeaway from the article and the comments.
  • Using tools like Jetbrains' language injection feature can improve syntax highlighting and validation for embedded SQL strings in programming languages like PHP.
  • There are different opinions on the best way to learn and work with Postgres, with some preferring to learn through hands-on experience and others relying on documentation and tutorials.