Limitations of Indexing on Two Tables and Trade-Offs: EAV vs. Denormalization

Nikolay and Michael discuss JSON — our options for storing it in Postgres, whether or when we should, as well as a brief intro and some tips for JSON functions available.
 
Here are links to a few things we mentioned: 

• hstore
• XML type
• XML functions
• JSON types
• JSON functions
• JSONB indexing
• NULLS episode
• Why Postgres is popular episode
• PostgreSQL 12 release notes
• What’s New in SQL:2016 (blog post by Markus Winand)
• SQL/JSON is postponed (blog post by depesz) 
• JSON[b] Roadmap (talk by Oleg Bartunov)
• Slides, with benchmarks
• RUM access method
• JSON in PostgreSQL: how to use it right (blog post by Laurenz Albe from Cybertec)
• pg_jsonschema
• TOAST_TUPLE_TARGET and TOAST_TUPLE_THRESHOLD 
• The Surprising Impact of Medium-Size Texts on PostgreSQL Performance (blog post by Haki Benita) 
• Aggregate functions
• How to store and index json data (blog post by ScaleGrid)
• When to avoid JSONB (blog post by Heap)
• FerretDB

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What did you like or not like? What should we discuss next time? Let us know by tweeting us on @samokhvalov / @michristofides / @PostgresFM, or by commenting on our Google doc.

If you would like to share this episode, here's a good link (and thank you!)

Postgres FM is brought to you by:

• Nikolay Samokhvalov, founder of Postgres.ai
• Michael Christofides, founder of pgMustard

With special thanks to:

• Jessie Draws for the amazing artwork