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Frameworks & web · #rails
Goal: Ensure that date/time fragments rendered by Rails view helpers display the correct offset after a Turbo Stream update when a user changes their preferred time zone. Constraint: Turbo Streams inserts server‑generated HTML without performing any additional client‑side time‑zone conversion, and its cache‑busting flags do not automatically invalidate cache
Goal We want to deliver a large dataset to the browser in paginated chunks using Turbo Streams while keeping the server‑side query bounded by limit/offset or cursor logic. Constraints Turbo only renders the HTML fragment; it does not enforce database limits. Pagination helpers such as paginate set limit and offset , but those values must be propagated throug
When working with a large Ruby on Rails codebase in RubyMine, resident memory grows steadily over a session and is not released after closing files or running garbage collection. The goal is to determine whether this is expected caching behavior or an actual leak, and to identify which component is responsible. Three candidate contributors are documented: th
ActiveRecord connection pool exhaustion appears intermittently when the number of concurrent requests exceeds the configured pool size, causing checkout timeouts despite logs showing no explicit 'pool empty' messages. The default pool size of five, combined with multi‑process server configurations such as Puma or Passenger, may break thread‑safety guarantees
To minimize infrastructure costs for low-traffic workloads, Ruby on Rails applications often utilize a single-process, multi-threaded Puma configuration. This approach aims to reduce the total RAM footprint by avoiding the overhead of multiple worker processes. However, there is uncertainty regarding the relationship between thread count and memory bloat whe
Low-Latency Background Job Processing Trade-off Rails applications requiring sub-second response times face a critical choice when configuring Active Job adapters. The 'inline' adapter executes jobs immediately within the request thread, eliminating queue latency but blocking the entire request-response cycle. Conversely, the 'async' adapter uses an in-proce
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