MeiliSearch/meilisearch-lib/src/tasks/update_loop.rs

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use std::sync::Arc;
use std::time::Duration;
use time::OffsetDateTime;
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use tokio::sync::{watch, RwLock};
use tokio::time::interval_at;
use super::batch::Batch;
use super::error::Result;
use super::{BatchHandler, Scheduler};
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use crate::tasks::task::TaskEvent;
/// The update loop sequentially performs batches of updates by asking the scheduler for a batch,
/// and handing it to the `TaskPerformer`.
pub struct UpdateLoop {
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scheduler: Arc<RwLock<Scheduler>>,
performers: Vec<Arc<dyn BatchHandler + Send + Sync + 'static>>,
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notifier: Option<watch::Receiver<()>>,
debounce_duration: Option<Duration>,
}
impl UpdateLoop {
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pub fn new(
scheduler: Arc<RwLock<Scheduler>>,
performers: Vec<Arc<dyn BatchHandler + Send + Sync + 'static>>,
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debuf_duration: Option<Duration>,
notifier: watch::Receiver<()>,
) -> Self {
Self {
scheduler,
performers,
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debounce_duration: debuf_duration,
notifier: Some(notifier),
}
}
pub async fn run(mut self) {
let mut notifier = self.notifier.take().unwrap();
loop {
if notifier.changed().await.is_err() {
break;
}
if let Some(t) = self.debounce_duration {
let mut interval = interval_at(tokio::time::Instant::now() + t, t);
interval.tick().await;
};
if let Err(e) = self.process_next_batch().await {
log::error!("an error occured while processing an update batch: {}", e);
}
}
}
async fn process_next_batch(&self) -> Result<()> {
let mut batch = { self.scheduler.write().await.prepare().await? };
let performer = self
.performers
.iter()
.find(|p| p.accept(&batch))
.expect("No performer found for batch")
.clone();
batch
.content
.push_event(TaskEvent::Processing(OffsetDateTime::now_utc()));
batch.content = {
self.scheduler
.read()
.await
.update_tasks(batch.content)
.await?
};
let batch = performer.process_batch(batch).await;
self.handle_batch_result(batch, performer).await?;
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Ok(())
}
/// Handles the result from a processed batch.
///
/// When a task is processed, the result of the process is pushed to its event list. The
/// `handle_batch_result` make sure that the new state is saved to the store.
/// The tasks are then removed from the processing queue.
async fn handle_batch_result(
&self,
mut batch: Batch,
performer: Arc<dyn BatchHandler + Sync + Send + 'static>,
) -> Result<()> {
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let mut scheduler = self.scheduler.write().await;
let content = scheduler.update_tasks(batch.content).await?;
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scheduler.finish();
drop(scheduler);
batch.content = content;
performer.finish(&batch).await;
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Ok(())
}
}