Files
dagx/tests/timing/concurrent_access.rs
T

325 lines
9.6 KiB
Rust

//! Tests for concurrent access patterns and race conditions
use crate::common::task_fn;
use dagx::{DagResult, DagRunner};
use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering};
use std::sync::Arc;
use tokio::sync::RwLock;
#[tokio::test]
async fn test_concurrent_result_retrieval() -> DagResult<()> {
// Test concurrent get() calls after execution
let dag = Arc::new(DagRunner::new());
// Add tasks with minimal delays
let tasks: Vec<dagx::TaskHandle<usize>> = (0..10)
.map(|i| {
let task = dag.add_task(task_fn(move |_: ()| async move {
tokio::time::sleep(tokio::time::Duration::from_millis(1)).await;
i as usize
}));
(&task).into()
})
.collect();
// Execute the DAG
dag.run(|fut| {
tokio::spawn(fut);
})
.await?;
// Now try to get results concurrently from multiple threads
let mut get_handles = Vec::new();
for (i, task) in tasks.iter().enumerate() {
let dag_clone = dag.clone();
let task = *task;
get_handles.push(tokio::spawn(async move {
// Results should be available immediately
dag_clone.get(task).map(|v| (i, v))
}));
}
// Verify all gets succeeded
for handle in get_handles {
let (i, result) = handle.await.unwrap()?;
assert_eq!(result, i);
}
Ok(())
}
#[tokio::test]
async fn test_simultaneous_dag_building_and_execution() -> DagResult<()> {
// Test building DAG while another part is executing
let dag = Arc::new(DagRunner::new());
let building_complete = Arc::new(AtomicBool::new(false));
// Start with a few initial tasks
let initial: Vec<_> = (0..5)
.map(|i| dag.add_task(task_fn(move |_: ()| async move { i })))
.collect();
// Start building more tasks in background
let dag_build = dag.clone();
let building = building_complete.clone();
let build_handle = tokio::spawn(async move {
let mut tasks: Vec<dagx::TaskHandle<i32>> = Vec::new();
for i in 5..50 {
let task = dag_build.add_task(task_fn(move |_: ()| async move { i }));
tasks.push((&task).into());
tokio::time::sleep(tokio::time::Duration::from_millis(1)).await;
}
building.store(true, Ordering::SeqCst);
tasks
});
// Wait a bit for some tasks to be added
tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;
// Execute the DAG
dag.run(|fut| {
tokio::spawn(fut);
})
.await?;
// Get the additional tasks
let additional_tasks = build_handle.await.unwrap();
// Initial tasks should have results
for (i, task) in initial.iter().enumerate() {
assert_eq!(dag.get(task)?, i);
}
// Additional tasks added during execution won't have results yet
// (they need another run cycle)
if building_complete.load(Ordering::SeqCst) {
// Run again for the new tasks
dag.run(|fut| {
tokio::spawn(fut);
})
.await?;
// Now they should have results
for (i, task) in additional_tasks.iter().enumerate() {
assert_eq!(dag.get(task)?, (i + 5) as i32);
}
}
Ok(())
}
#[tokio::test]
async fn test_concurrent_dependency_resolution() -> DagResult<()> {
// Test multiple tasks resolving dependencies concurrently
let dag = DagRunner::new();
let resolution_counter = Arc::new(AtomicUsize::new(0));
// Create a source task
let source = dag.add_task(task_fn({
let counter = resolution_counter.clone();
move |_: ()| {
let counter = counter.clone();
async move {
counter.fetch_add(1, Ordering::SeqCst);
42
}
}
}));
// Create many tasks depending on the same source
let dependents: Vec<_> = (0..100)
.map(|i| {
let counter = resolution_counter.clone();
dag.add_task(task_fn(move |val: i32| {
let counter = counter.clone();
async move {
counter.fetch_add(1, Ordering::SeqCst);
val + i
}
}))
.depends_on(&source)
})
.collect();
dag.run(|fut| {
tokio::spawn(fut);
})
.await?;
// Check all completed
assert_eq!(resolution_counter.load(Ordering::SeqCst), 101);
// Verify results
for (i, task) in dependents.iter().enumerate() {
assert_eq!(dag.get(task)?, 42 + i as i32);
}
Ok(())
}
#[tokio::test]
async fn test_read_write_race_patterns() -> DagResult<()> {
// Test read-write patterns with shared state
let dag = DagRunner::new();
let shared_state = Arc::new(RwLock::new(Vec::new()));
// Writers
let writers: Vec<_> = (0..10)
.map(|i| {
let state = shared_state.clone();
dag.add_task(task_fn(move |_: ()| {
let state = state.clone();
async move {
let mut guard = state.write().await;
guard.push(i);
tokio::task::yield_now().await; // Force potential race
guard.push(i * 10);
i
}
}))
})
.collect();
// Readers (depend on writers to ensure ordering)
let readers: Vec<_> = writers
.iter()
.map(|writer| {
let state = shared_state.clone();
dag.add_task(task_fn(move |writer_id: i32| {
let state = state.clone();
async move {
let guard = state.read().await;
let contains_writer = guard.contains(&writer_id);
let len = guard.len();
(writer_id, contains_writer, len)
}
}))
.depends_on(writer)
})
.collect();
dag.run(|fut| {
tokio::spawn(fut);
})
.await?;
// Verify readers saw their writer's data
for reader in &readers {
let (writer_id, saw_writer, _len) = dag.get(reader)?;
assert!(saw_writer, "Reader didn't see writer {}", writer_id);
}
// Final state should have all writes
let final_state = shared_state.read().await;
assert_eq!(final_state.len(), 20); // 10 writers * 2 writes each
Ok(())
}
#[tokio::test]
async fn test_atomic_counter_races() -> DagResult<()> {
// Test atomic operations under high concurrency
let dag = DagRunner::new();
let counter = Arc::new(AtomicUsize::new(0));
let max_seen = Arc::new(AtomicUsize::new(0));
// Create tasks that increment and track max
let _tasks: Vec<_> = (0..200)
.map(|_| {
let counter = counter.clone();
let max_seen = max_seen.clone();
dag.add_task(task_fn(move |_: ()| {
let counter = counter.clone();
let max_seen = max_seen.clone();
async move {
let mut local_max = 0;
for _ in 0..100 {
let val = counter.fetch_add(1, Ordering::SeqCst);
local_max = local_max.max(val);
// Update global max
let mut current_max = max_seen.load(Ordering::SeqCst);
while val > current_max {
match max_seen.compare_exchange_weak(
current_max,
val,
Ordering::SeqCst,
Ordering::SeqCst,
) {
Ok(_) => break,
Err(x) => current_max = x,
}
}
}
local_max
}
}))
})
.collect();
dag.run(|fut| {
tokio::spawn(fut);
})
.await?;
// Final counter should be 200 * 100 = 20000
assert_eq!(counter.load(Ordering::SeqCst), 20000);
// Max seen should be at least 19999 (last increment - 1)
assert!(max_seen.load(Ordering::SeqCst) >= 19999);
Ok(())
}
#[tokio::test]
async fn test_multiple_dag_runners_interaction() -> DagResult<()> {
// Test multiple DAG runners potentially interfering
let shared_counter = Arc::new(AtomicUsize::new(0));
let mut handles = Vec::new();
for dag_id in 0..5 {
let counter = shared_counter.clone();
let handle = tokio::spawn(async move {
let dag = DagRunner::new();
let tasks: Vec<_> = (0..20)
.map(|task_id| {
let counter = counter.clone();
dag.add_task(task_fn(move |_: ()| {
let counter = counter.clone();
async move {
counter.fetch_add(1, Ordering::SeqCst);
(dag_id, task_id)
}
}))
})
.collect();
dag.run(|fut| {
tokio::spawn(fut);
})
.await?;
// Collect results
let mut results = Vec::new();
for task in tasks {
results.push(dag.get(&task)?);
}
Ok::<_, dagx::DagError>(results)
});
handles.push(handle);
}
// Wait for all DAGs to complete
for handle in handles {
handle.await.unwrap()?;
}
// Should have executed 5 * 20 = 100 tasks total
assert_eq!(shared_counter.load(Ordering::SeqCst), 100);
Ok(())
}