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https://dev.to/t/database 30-04-2019 16:53:30
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When SQL and stored procedures slow to a crawl, tuning can only go so far. Learn why some queries stall and when to look beyond SQL. { author: esProc SPL } #DEVCommunity #Database dev.to/esproc_spl/wha…

Your database may be the real bottleneck—too much in-DB processing slows your app. Move logic to the app layer and keep the DB lean. { author: Athreya aka Maneshwar } #DEVCommunity #Database dev.to/lovestaco/busy…



DynamoDB conditional writes let you enforce rules like unique keys, rate limits and idempotency in one atomic, serverless operation. { author: Scorpion Edge } #DEVCommunity #Database dev.to/urielbitton/us…

Build a B-Tree index using equality, sort and range keys on top-level fields. It cuts reads, speeds up MongoDB queries with one index. { author: Franck Pachot } #DEVCommunity #Database dev.to/franckpachot/b…

See how a few secondary indexes in MongoDB let you run new queries on an existing document model without changing the schema. { author: Franck Pachot } #DEVCommunity #Database dev.to/franckpachot/i…

PostgreSQL GROUP BY on JSONB fields still triggers index scans, no index-only scan like a B-Tree on a separate column. Read on to see why. { author: Franck Pachot } #DEVCommunity #Database dev.to/franckpachot/n…



See how SPL simplifies per-minute window stats compared to nested SQL: fills gaps, tracks start/end, and computes min/max with less code. { author: AdamDataNotes } #DEVCommunity #Database dev.to/judith677/stat…

Sampling data without indexes in MongoDB lets you scan a random subset, group by fields and get stats before tuning performance. { author: Franck Pachot } #DEVCommunity #Database dev.to/franckpachot/s…
