Concurrent and parallel programs

Use scoped threads for work that borrows local data, or an executor for many owned jobs. Captured jobs use the functions-as-values lessons; generic recovery helpers also use type parameters.

• Import concurrency explicitly
• Run scoped threads
• Borrow local data for a worker
• Count with atomics
• Share mutable state with a mutex
• Choose how workers share state
• Move jobs to workers
• Run stored jobs
• Send values between threads
• Avoid waits that hang
• Handle channel backpressure
• Bound your waits
• Share one deadline across waits
• Reuse workers with an executor
• Handle executor outcomes
• Share state with pool workers
• Cancel queued work and bound a future wait
• Stop work cooperatively
• Recover a job when submission cannot proceed
• Map fallible work in parallel
• Combine values in parallel
• Receive from either channel
• Wait for I/O with a deadline
• Serve a TCP connection
• Encrypt a TCP connection
• Verify clients and choose a protocol
• Serve HTTP requests
• Stop a server on a signal
• Read forms, cookies and forwarded clients
• Serve files and sign cookies
• Send HTTP requests
• Share one HTTP client between workers
• Talk over WebSockets
• Stream events to browsers