feat: round-5 abstractions — BatchProcessor, CircuitBreakerHealthCheck, TypedKeyRegistry, MetricsHttpHandler
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//! Batch job processor for bulk processing of queued jobs.
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//!
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//! [`BatchProcessor`] wraps a [`Queue`] and accumulates jobs per topic until
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//! either `batch_size` is reached or `batch_timeout` elapses, then dispatches
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//! them to a [`BatchJobHandler`] for bulk processing (e.g. bulk DB insert,
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//! bulk email send, batch index write).
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use std::pin::Pin;
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use std::sync::Arc;
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use std::time::Duration;
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use tokio::sync::{mpsc, Semaphore};
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use crate::error::JobError;
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use crate::job::Job;
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use crate::traits::Queue;
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/// A handler that processes a batch of jobs atomically.
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pub trait BatchJobHandler: Send + Sync {
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fn handle_batch(&self, jobs: Vec<Job>) -> Pin<Box<dyn std::future::Future<Output = Result<(), JobError>> + Send>>;
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}
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impl<F, Fut> BatchJobHandler for F
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where
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F: Fn(Vec<Job>) -> Fut + Send + Sync,
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Fut: std::future::Future<Output = Result<(), JobError>> + Send + 'static,
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{
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fn handle_batch(&self, jobs: Vec<Job>) -> Pin<Box<dyn std::future::Future<Output = Result<(), JobError>> + Send>> {
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Box::pin((self)(jobs))
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}
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}
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/// Configuration for [`BatchProcessor`].
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#[derive(Debug, Clone)]
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pub struct BatchConfig {
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/// Max jobs per batch before flushing.
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pub batch_size: usize,
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/// Max time to wait before flushing a partial batch.
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pub batch_timeout: Duration,
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/// Max concurrent batch-processing tasks.
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pub concurrency: usize,
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}
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impl Default for BatchConfig {
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fn default() -> Self {
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Self {
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batch_size: 100,
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batch_timeout: Duration::from_secs(5),
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concurrency: 4,
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}
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}
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}
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/// Result of a completed batch flush.
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pub struct BatchFlush {
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/// Number of jobs in the flushed batch.
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pub count: usize,
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}
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/// A processor that batches jobs before dispatching them.
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pub struct BatchProcessor<Q: Queue + 'static> {
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queue: Arc<Q>,
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config: BatchConfig,
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semaphore: Arc<Semaphore>,
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}
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impl<Q: Queue + 'static> BatchProcessor<Q> {
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pub fn new(queue: Q, config: BatchConfig) -> Self {
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let sem = Arc::new(Semaphore::new(config.concurrency.max(1)));
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Self {
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queue: Arc::new(queue),
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config,
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semaphore: sem,
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}
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}
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/// Starts a batch processor for `topic` using `handler`.
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pub fn start<H>(&self, topic: &str, handler: H)
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where
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H: BatchJobHandler + 'static,
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{
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let queue = Arc::clone(&self.queue);
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let config = self.config.clone();
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let semaphore = Arc::clone(&self.semaphore);
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let handler: Arc<dyn BatchJobHandler> = Arc::new(handler);
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let topic_owned = topic.to_string();
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let (tx, mut rx): (mpsc::Sender<Job>, mpsc::Receiver<Job>) = mpsc::channel(config.batch_size);
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// Dequeue loop → forward to channel
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{
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let q = Arc::clone(&queue);
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let t = topic_owned.clone();
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let tx2 = tx.clone();
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let poll = config.poll_timeout();
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tokio::spawn(async move {
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loop {
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match q.dequeue(&t, poll).await {
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Ok(Some(job)) => {
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if tx2.send(job).await.is_err() {
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// Processor dropped; re-enqueue remaining
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break;
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}
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}
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Ok(None) => {}
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Err(e) => {
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tracing::error!(queue_error = %e, "batch dequeue error");
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tokio::time::sleep(poll).await;
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}
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}
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}
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});
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}
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// Batch accumulation + flush loop
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let h = handler;
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tokio::spawn(async move {
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loop {
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let mut batch: Vec<Job> = Vec::with_capacity(config.batch_size);
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let deadline = tokio::time::sleep(config.batch_timeout);
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tokio::pin!(deadline);
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// Fill batch
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loop {
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if batch.len() >= config.batch_size {
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break;
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}
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tokio::select! {
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biased;
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job = rx.recv() => match job {
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Some(j) => batch.push(j),
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None => {
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// channel closed: drain remaining
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while let Ok(j) = rx.try_recv() {
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batch.push(j);
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}
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if !batch.is_empty() {
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Self::flush(&h, &semaphore, batch).await;
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}
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return;
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}
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},
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_ = &mut deadline => break,
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}
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}
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if !batch.is_empty() {
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Self::flush(&h, &semaphore, batch).await;
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}
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deadline.as_mut().reset(tokio::time::Instant::now() + config.batch_timeout);
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}
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});
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// Keep tx alive for the dequeue loop (it was cloned)
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let _keep = tx;
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}
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async fn flush(handler: &Arc<dyn BatchJobHandler>, sem: &Arc<Semaphore>, batch: Vec<Job>) {
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let permit = sem.clone().acquire_owned().await;
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if permit.is_err() {
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tracing::error!("batch semaphore closed");
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return;
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}
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let _permit = permit.unwrap();
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let h = Arc::clone(handler);
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let batch_len = batch.len();
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tokio::spawn(async move {
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match h.handle_batch(batch).await {
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Ok(()) => tracing::debug!(count = batch_len, "batch processed"),
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Err(e) => tracing::error!("batch handler error: {}", e),
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}
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});
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}
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}
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impl BatchConfig {
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fn poll_timeout(&self) -> Duration {
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self.batch_timeout.min(Duration::from_millis(100))
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::in_memory::InMemoryQueue;
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use std::sync::atomic::{AtomicUsize, Ordering};
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use std::sync::Arc as StdArc;
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fn make_queue() -> InMemoryQueue {
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InMemoryQueue::new()
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}
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#[tokio::test]
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async fn flush_on_batch_size() {
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let queue = make_queue();
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let counter = StdArc::new(AtomicUsize::new(0));
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let cfg = BatchConfig {
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batch_size: 3,
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batch_timeout: Duration::from_secs(10),
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concurrency: 2,
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};
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let bp = BatchProcessor::new(queue, cfg);
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let c2 = StdArc::clone(&counter);
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bp.start("t", move |jobs: Vec<Job>| {
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let c3 = StdArc::clone(&c2);
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Box::pin(async move {
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c3.fetch_add(jobs.len(), Ordering::SeqCst);
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Ok(())
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})
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});
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for i in 0..3 {
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bp.queue.enqueue("t", format!("job{}", i).into_bytes()).await.unwrap();
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}
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tokio::time::sleep(Duration::from_millis(300)).await;
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assert_eq!(counter.load(Ordering::SeqCst), 3);
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}
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#[tokio::test]
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async fn flush_on_timeout() {
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let queue = make_queue();
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let queue2 = queue.clone();
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let counter = StdArc::new(AtomicUsize::new(0));
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let cfg = BatchConfig {
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batch_size: 100,
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batch_timeout: Duration::from_millis(100),
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concurrency: 2,
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};
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let bp = BatchProcessor::new(queue, cfg);
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let c2 = StdArc::clone(&counter);
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bp.start("t", move |jobs: Vec<Job>| {
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let c3 = StdArc::clone(&c2);
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Box::pin(async move {
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c3.fetch_add(jobs.len(), Ordering::SeqCst);
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Ok(())
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})
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});
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queue2.enqueue("t", b"x".to_vec()).await.unwrap();
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tokio::time::sleep(Duration::from_millis(300)).await;
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assert_eq!(counter.load(Ordering::SeqCst), 1);
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}
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}
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@@ -54,6 +54,11 @@ pub mod in_memory;
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pub mod traits;
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pub mod worker;
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#[cfg(feature = "in-memory")]
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pub mod batch;
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#[cfg(feature = "in-memory")]
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pub mod pipeline;
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#[cfg(feature = "in-memory")]
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pub use in_memory::InMemoryQueue;
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@@ -63,6 +68,6 @@ pub use worker::{WorkerPool, WorkerConfig, JobHandler, JobFuture};
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pub use error::{QueueError, JobError};
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#[cfg(feature = "in-memory")]
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pub mod pipeline;
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pub use batch::{BatchConfig, BatchJobHandler, BatchProcessor, BatchFlush};
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#[cfg(feature = "in-memory")]
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pub use pipeline::{StageRunner, Stage, StageError};
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