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Advanced Topics

This section covers extended topics on how to use Ray.

• Tips for first-time users
  • Tip 1: Delay ray.get()
  • Tip 2: Avoid tiny tasks
  • Tip 3: Avoid passing same object repeatedly to remote tasks
  • Tip 4: Pipeline data processing
• Ray Gotchas
  • Environment variables are not passed from the driver to workers
  • Filenames work sometimes and not at other times
  • Placement groups are not composable
• Starting Ray
  • What is the Ray runtime?
  • Starting Ray on a single machine
  • Starting Ray via the CLI (ray start)
  • Launching a Ray cluster (ray up)
  • What’s next?
• Debugging and Profiling
  • Observing Ray Work
  • Visualizing Tasks in the Ray Timeline
  • Profiling Using Python’s CProfile
    • Profiling Ray Actors with cProfile
  • Understanding ObjectLostErrors
  • Crashes
  • No Speedup
  • Outdated Function Definitions
• Using Namespaces
  • Specifying namespace for named actors
  • Anonymous namespaces
  • Getting the current namespace
• Cross-Language Programming
  • Setup the driver
  • Python calling Java
  • Java calling Python
  • Cross-language data serialization
  • Cross-language exception stacks
• Working with Jupyter Notebooks & JupyterLab
  • Setting Up Notebook
• Building Computation Graphs with Ray DAG API
  • Ray DAG with functions
  • Ray DAG with classes and class methods
  • Ray DAG with custom InputNode
  • More Resources
• Miscellaneous Topics
  • Dynamic Remote Parameters
  • Accelerator Types
  • Overloaded Functions
  • Inspecting Cluster State
    • Node Information
    • Resource Information

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Environment Dependencies

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Tips for first-time users