
Async I/O Model
FreeMaster asynchronous patterns for TursoDB.
Free · Opens the source repo
What Async I/O Model does
The Async I/O Model skill provides a comprehensive guide to implementing asynchronous programming patterns in TursoDB. Unlike traditional Rust async/await, Turso employs cooperative yielding with explicit state machines. This approach allows developers to manage I/O operations effectively while avoiding common pitfalls associated with re-entrancy. The skill covers essential types such as IOResult and Completion, which are fundamental to handling asynchronous tasks in a structured manner.
Key components include the Completion struct, which tracks individual I/O operations, and CompletionGroup, which aggregates multiple completions into a single operation. This is particularly useful when you need to wait for several I/O tasks to finish before proceeding. The skill also introduces helper macros like return_if_io! and io_yield_one!, which simplify the process of yielding and handling I/O results, ensuring that your state management remains robust.
Additionally, the skill emphasizes the importance of state machine patterns for managing complex operations that may yield. By using state enums, developers can preserve progress across yields, minimizing the risk of bugs caused by state mutations before yield points. The documentation includes examples of both correct and incorrect implementations, helping to clarify best practices in asynchronous programming.
This skill is designed for developers working with TursoDB who need to implement asynchronous I/O operations efficiently. It is particularly beneficial for those looking to avoid common re-entrancy bugs and to write cleaner, more maintainable code. By following the patterns and practices outlined in this guide, developers can enhance their understanding of asynchronous programming in the context of TursoDB.
When to use it
Use this skill when developing applications with TursoDB that require efficient handling of asynchronous I/O operations.
When not to use it
This skill may not be suitable for projects that do not utilize TursoDB or require traditional async/await patterns in Rust.
What you can build with it
Implementing Asynchronous Database Operations
Use this skill to learn how to handle multiple asynchronous database operations in TursoDB without running into re-entrancy issues.
Managing Complex I/O Workflows
When building applications that require complex I/O workflows, this skill provides the necessary patterns to manage state and completions efficiently.
Avoiding Common Bugs in Asynchronous Code
Leverage the guidance in this skill to identify and avoid common re-entrancy bugs that can arise during asynchronous programming.
How to install Async I/O Model
View source1. Install with the skills CLI
npx skills add tursodatabase/turso/async-io-model --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by tursodatabaseAsync 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
| Pattern | Problem |
|---|---|
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,CompletionGroupcore/util.rs-io_yield_one!macrocore/state_machine.rs- GenericStateMachinewrappercore/storage/btree.rs- Many state machine examplescore/storage/pager.rs-CompletionGroupusage 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.mdsection on I/O
Frequently asked questions about Async I/O Model
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