管理并发#

• Run tasks concurrently or in parallel
  • Configure a task runner
  • Access results from submitted tasks
  • Mapping over iterables
  • Use multiple task runners
• Limit concurrent task runs with tags
  • Execution behavior
  • Configure concurrency limits
    • CLI
    • Python client
• Apply global concurrency and rate limits
  • Manage global concurrency and rate limits
    • Active vs. inactive limits
    • Slot decay
    • Through the UI
    • Through the CLI
  • Using the concurrency context manager
  • Using rate_limit
  • Use concurrency and rate_limit outside of a flow
  • Use cases
    • Throttling task submission
    • Manage database connections
    • Parallel data processing
  • Other ways to limit concurrency