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Skills/tursodatabase/turso/async-io-model
async-io-model logo

async-io-model

tursodatabase/turso
742 installs19K stars
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Installation

npx skills add https://github.com/tursodatabase/turso --skill async-io-model

Summary

Explanations of common asynchronous patterns used in tursodb. Involves IOResult, state machines, re-entrancy pitfalls, CompletionGroup. Always use these patterns in `core` when doing anything IO

SKILL.md

Async I/O Model Guide

Turso uses cooperative yielding with explicit state machines instead of Rust async/await.

Core Types

pub enum IOCompletions {
    Single(Completion),
}

#[must_use]
pub enum IOResult<T> {
    Done(T),      // Operation complete, here's the result
    IO(IOCompletions),  // Need I/O, call me again after completions finish
}

Functions returning IOResult must be called repeatedly until Done.

Completion and CompletionGroup

A Completion tracks a single I/O operation:

pub struct Completion { /* ... */ }

impl Completion {
    pub fn finished(&self) -> bool;
    pub fn succeeded(&self) -> bool;
    pub fn get_error(&self) -> Option<CompletionError>;
}

To wait for multiple I/O operations, use CompletionGroup:

let mut group = CompletionGroup::new(|_| {});

// Add individual completions
group.add(&completion1);
group.add(&completion2);

// Build into single completion that finishes when all complete
let combined = group.build();
io_yield_one!(combined);

CompletionGroup features:

  • Aggregates multiple completions into one
  • Calls callback when all complete (or any errors)
  • Can nest groups (add a group's completion to another group)
  • Cancellable via group.cancel()

Helper Macros

return_if_io!

Unwraps IOResult, propagates IO variant up the call stack:

let result = return_if_io!(some_io_operation());
// Only reaches here if operation returned Done

io_yield_one!

Yields a single completion:

io_yield_one!(completion);  // Returns Ok(IOResult::IO(Single(completion)))

State Machine Pattern

Operations that may yield use explicit state enums:

enum MyOperationState {
    Start,
    WaitingForRead { page: PageRef },
    Processing { data: Vec<u8> },
    Done,
}

The function loops, matching on state and transitioning:

fn my_operation(&mut self) -> Result<IOResult<Output>> {
    loop {
        match &mut self.state {
            MyOperationState::Start => {
                let (page, completion) = start_read();
                self.state = MyOperationState::WaitingForRead { page };
                io_yield_one!(completion);
            }
            MyOperationState::WaitingForRead { page } => {
                let data = page.get_contents();
                self.state = MyOperationState::Processing { data: data.to_vec() };
                // No yield, continue loop
            }
            MyOperationState::Processing { data } => {
                let result = process(data);
                self.state = MyOperationState::Done;
                return Ok(IOResult::Done(result));
            }
            MyOperationState::Done => unreachable!(),
        }
    }
}

Re-Entrancy: The Critical Pitfall

State mutations before yield points cause bugs on re-entry.

Wrong

fn bad_example(&mut self) -> Result<IOResult<()>> {
    self.counter += 1;  // Mutates state
    return_if_io!(something_that_might_yield());  // If yields, re-entry will increment again!
    Ok(IOResult::Done(()))
}

If something_that_might_yield() returns IO, caller waits for completion, then calls bad_example() again. counter gets incremented twice (or more).

Correct: Mutate After Yield

fn good_example(&mut self) -> Result<IOResult<()>> {
    return_if_io!(something_that_might_yield());
    self.counter += 1;  // Only reached once, after IO completes
    Ok(IOResult::Done(()))
}

Correct: Use State Machine

enum State { Start, AfterIO }

fn good_example(&mut self) -> Result<IOResult<()>> {
    loop {
        match self.state {
            State::Start => {
                // Don't mutate shared state here
                self.state = State::AfterIO;
                return_if_io!(something_that_might_yield());
            }
            State::AfterIO => {
                self.counter += 1;  // Safe: only entered once
                return Ok(IOResult::Done(()));
            }
        }
    }
}

Common Re-Entrancy Bugs

PatternProblem
vec.push(x); return_if_io!(...)Vec grows on each re-entry
idx += 1; return_if_io!(...)Index advances multiple times
map.insert(k,v); return_if_io!(...)Duplicate inserts or overwrites
flag = true; return_if_io!(...)Usually ok, but check logic

State Enum Design

Encode progress in state variants:

// Good: index is part of state, preserved across yields
enum ProcessState {
    Start,
    ProcessingItem { idx: usize, items: Vec<Item> },
    Done,
}

// Loop advances idx only when transitioning states
ProcessingItem { idx, items } => {
    return_if_io!(process_item(&items[idx]));
    if idx + 1 < items.len() {
        self.state = ProcessingItem { idx: idx + 1, items };
    } else {
        self.state = Done;
    }
}

Turso Implementation

Key files:

  • core/types.rs - IOResult, IOCompletions, return_if_io!, return_and_restore_if_io!
  • core/io/completions.rs - Completion, CompletionGroup
  • core/util.rs - io_yield_one! macro
  • core/state_machine.rs - Generic StateMachine wrapper
  • core/storage/btree.rs - Many state machine examples
  • core/storage/pager.rs - CompletionGroup usage examples

Testing Async Code

Re-entrancy bugs often only manifest under specific IO timing. Use:

  • Deterministic simulation (testing/simulator/)
  • Whopper concurrent DST (testing/concurrent-simulator/)
  • Fault injection to force yields at different points

References

  • docs/manual.md section on I/O

Score

0–100
65/ 100

Grade

C

Popularity17/30

742 installs — growing adoption. Source repo has 19,178 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Async Io Model skill score badge previewScore badge

Markdown

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HTML

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Async Io Model FAQ

How do I install the Async Io Model skill?

Run “npx skills add https://github.com/tursodatabase/turso --skill async-io-model” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Async Io Model skill do?

Explanations of common asynchronous patterns used in tursodb. Involves IOResult, state machines, re-entrancy pitfalls, CompletionGroup. Always use these patterns in `core` when doing anything IO The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Async Io Model skill free?

Yes. Async Io Model is a free, open-source skill published from tursodatabase/turso. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Async Io Model work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Async Io Model works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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