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Clarify documentation about use of tokio tasks #13474

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Nov 20, 2024
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Clarify documentation about use of tokio tasks #13474

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12 changes: 8 additions & 4 deletions datafusion/core/src/lib.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -475,10 +475,12 @@
//!
//! The number of cores used is determined by the `target_partitions`
//! configuration setting, which defaults to the number of CPU cores.
//! During execution, DataFusion creates this many distinct `async` [`Stream`]s and
//! this many distinct [Tokio] [`task`]s, which drive the `Stream`s
//! using threads managed by the `Runtime`. Many DataFusion `Stream`s perform
//! CPU intensive processing.
//! While preparing for execution, DataFusion tries to create this many distinct
//! `async` [`Stream`]s for each `ExecutionPlan`.
//! The `Stream`s for certain `ExecutionPlans`, such as as [`RepartitionExec`]
//! and [`CoalescePartitionsExec`], spawn [Tokio] [`task`]s, that are run by
//! threads managed by the `Runtime`.
//! Many DataFusion `Stream`s perform CPU intensive processing.
//!
//! Using `async` for CPU intensive tasks makes it easy for [`TableProvider`]s
//! to perform network I/O using standard Rust `async` during execution.
Expand Down Expand Up @@ -582,6 +584,8 @@
//! [`Runtime`]: tokio::runtime::Runtime
//! [`task`]: tokio::task
//! [Using Rustlang’s Async Tokio Runtime for CPU-Bound Tasks]: https://thenewstack.io/using-rustlangs-async-tokio-runtime-for-cpu-bound-tasks/
//! [`RepartitionExec`]: physical_plan::repartition::RepartitionExec
//! [`CoalescePartitionsExec`]: physical_plan::coalesce_partitions::CoalescePartitionsExec
//!
//! ## State Management and Configuration
//!
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