Sweep aborted-upload orphans from the periodic trash job; pipeline ZIP reads
Two follow-ups to the streaming-upload work: The dedup garbage_collect() pass only ran when a user manually emptied their trash. Zero-reference rows — chunks orphaned by aborted streaming uploads (registered at ref_count 0 by the ingest rollback) and blobs dereferenced by trash expiry itself — could linger indefinitely on instances where nobody empties trash. The periodic TrashCleanupService sweep now ends every run with garbage_collect() (maintenance pool, batched), bounding orphan lifetime to the cleanup interval. Folder-ZIP creation was strictly sequential: open blob stream, deflate, close, repeat — every per-file blob-store round-trip (PG lookup + backend open; a full HTTP round-trip on S3/Azure) added to the wall clock. It now runs as a 2-stage pipeline: a prefetch task streams the planned files' content ahead of the writer through a bounded channel (~4 MiB), so the next file's read latency overlaps the current file's compression. ZIP entries are still written strictly in order, peak RAM stays flat, and a writer error hangs up the channel so the prefetcher stops on its own. Verified end-to-end against PostgreSQL 16: an upload aborted at ~14 MB left exactly 30 ref_count=0 chunk rows which the GC then reclaimed (8.5 MB, rows + physical files); a chunked upload completed with a wrong MD5 returned 400 with the tee-computed digest and the SAME session then completed successfully with the right checksum (parts persist — the old assembly deleted them, so the documented retry never actually worked); a 4-file folder ZIP downloaded and extracted byte-identical. https://claude.ai/code/session_01WdNenpnujNR2sc32XVvwfS
This commit is contained in:
+4
-1
@@ -557,9 +557,12 @@ impl AppServiceFactory {
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.with_file_deleted_hook(core.file_lifecycle.clone()),
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);
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// Initialize cleanup service (bulk-deletes expired items in 2 SQL queries)
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// Initialize cleanup service (bulk-deletes expired items in 2 SQL
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// queries, then GCs zero-reference blobs — including chunks orphaned
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// by aborted streaming uploads).
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let cleanup_service = TrashCleanupService::new(
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trash_repo.clone(),
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core.dedup_service.clone(),
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24, // Run cleanup every 24 hours
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);
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@@ -6,21 +6,35 @@ use tracing::{debug, error, info, instrument};
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use crate::common::errors::Result;
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use crate::domain::repositories::trash_repository::TrashRepository;
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use crate::infrastructure::repositories::pg::trash_db_repository::TrashDbRepository;
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use crate::infrastructure::services::dedup_service::DedupService;
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/// Service for automatic cleanup of expired items in the trash.
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///
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/// Uses `TrashRepository::delete_expired_bulk` to purge all expired items
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/// in **2 SQL statements inside a single transaction**, instead of the
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/// previous N+1 pattern that issued 3 queries per expired item.
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///
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/// Each sweep ends with a dedup `garbage_collect()` pass: it reclaims the
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/// blobs the expiry just dereferenced AND any other zero-reference rows —
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/// notably chunks left behind by aborted streaming uploads, whose rollback
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/// registers them at ref_count 0 precisely so this sweep can find them.
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/// Without it, orphans would only be collected when a user happens to
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/// empty their trash by hand.
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pub struct TrashCleanupService {
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trash_repository: Arc<TrashDbRepository>,
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dedup_service: Arc<DedupService>,
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cleanup_interval_hours: u64,
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}
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impl TrashCleanupService {
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pub fn new(trash_repository: Arc<TrashDbRepository>, cleanup_interval_hours: u64) -> Self {
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pub fn new(
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trash_repository: Arc<TrashDbRepository>,
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dedup_service: Arc<DedupService>,
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cleanup_interval_hours: u64,
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) -> Self {
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Self {
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trash_repository,
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dedup_service,
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cleanup_interval_hours: cleanup_interval_hours.max(1), // Minimum 1 hour
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}
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}
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@@ -29,6 +43,7 @@ impl TrashCleanupService {
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#[instrument(skip(self))]
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pub async fn start_cleanup_job(&self) {
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let trash_repository = self.trash_repository.clone();
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let dedup_service = self.dedup_service.clone();
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let interval_hours = self.cleanup_interval_hours;
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info!(
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@@ -41,7 +56,7 @@ impl TrashCleanupService {
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let mut interval = time::interval(interval_duration);
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// First immediate execution
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Self::cleanup_expired_items(trash_repository.clone())
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Self::cleanup_expired_items(trash_repository.clone(), dedup_service.clone())
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.await
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.unwrap_or_else(|e| error!("Error in initial trash cleanup: {:?}", e));
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@@ -49,16 +64,24 @@ impl TrashCleanupService {
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interval.tick().await;
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debug!("Running scheduled trash cleanup task");
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if let Err(e) = Self::cleanup_expired_items(trash_repository.clone()).await {
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if let Err(e) =
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Self::cleanup_expired_items(trash_repository.clone(), dedup_service.clone())
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.await
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{
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error!("Error in scheduled trash cleanup: {:?}", e);
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}
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}
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});
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}
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/// Bulk-delete all expired trash items in a single transaction.
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#[instrument(skip(trash_repository))]
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async fn cleanup_expired_items(trash_repository: Arc<TrashDbRepository>) -> Result<()> {
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/// Bulk-delete all expired trash items in a single transaction, then
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/// garbage-collect every zero-reference manifest/blob (expired content
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/// plus aborted-upload orphans).
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#[instrument(skip(trash_repository, dedup_service))]
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async fn cleanup_expired_items(
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trash_repository: Arc<TrashDbRepository>,
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dedup_service: Arc<DedupService>,
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) -> Result<()> {
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debug!("Starting bulk cleanup of expired trash items");
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let (files, folders) = trash_repository.delete_expired_bulk().await?;
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@@ -72,6 +95,16 @@ impl TrashCleanupService {
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);
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}
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// Runs on the maintenance pool; batched (500 rows/iteration) with
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// yield points, so it never starves request-path queries.
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match dedup_service.garbage_collect().await {
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Ok((0, _)) => debug!("Trash cleanup GC: nothing to collect"),
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Ok((items, bytes)) => {
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info!("Trash cleanup GC: reclaimed {items} orphaned blobs ({bytes} bytes)");
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}
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Err(e) => error!("Trash cleanup GC failed: {:?}", e),
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}
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Ok(())
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}
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}
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@@ -47,12 +47,41 @@ impl From<ZipError> for DomainError {
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/// Type alias for the fully-async ZIP writer backed by a buffered tokio file.
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type AsyncZipWriter = ZipFileWriter<Compat<BufWriter<tokio::fs::File>>>;
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/// One planned archive entry, in final ZIP order.
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enum ZipPlanEntry {
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/// Directory entry (Stored, zero-length body).
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Dir(String),
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/// File entry: ZIP-relative path + file id to stream from the blob store.
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File { zip_path: String, file_id: String },
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}
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/// Message protocol from the prefetch task to the ZIP writer. For each
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/// planned file, in order: zero or more `Chunk`s, then exactly one `End`;
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/// `Err` aborts the whole archive.
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enum Prefetched {
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Chunk(bytes::Bytes),
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End,
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Err(String),
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}
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/// Bound on the prefetch channel (messages of ≤ ~64 KB blob-stream chunks):
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/// ~4 MiB of read-ahead. Enough to hide the per-file open latency of the
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/// blob store (PG lookup + backend round-trip — significant on S3/Azure)
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/// behind the deflate of the previous entry, while keeping RAM flat.
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const PREFETCH_BUFFER_CHUNKS: usize = 64;
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/// Service for creating ZIP files.
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///
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/// Uses `async_zip` for fully-async archive creation. Every write (headers,
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/// compressed chunk data, central directory) goes through
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/// `tokio::io::BufWriter` → `tokio::fs::File`, so **no Tokio worker is ever
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/// blocked** by disk I/O or compression.
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///
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/// Archive creation is a 2-stage pipeline: a prefetch task reads file
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/// content from the blob store ahead of the writer, so the next file's
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/// read latency overlaps the current file's compression instead of adding
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/// to it. The ZIP entries themselves are still written strictly in order
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/// (the format requires it).
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pub struct ZipService {
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file_service: Arc<FileRetrievalService>,
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folder_service: Arc<FolderService>,
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@@ -144,7 +173,22 @@ impl ZipService {
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}
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};
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// ── 4. Open the temp file + ZIP writer ───────────────────────────
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// ── 4. Plan the archive (folders are already sorted by path) ─────
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let mut plan: Vec<ZipPlanEntry> = Vec::new();
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for folder in &all_folders {
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let zip_dir = format!("{}/", folder_zip_path(&folder.path));
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plan.push(ZipPlanEntry::Dir(zip_dir.clone()));
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if let Some(files) = files_by_folder.get(&folder.id) {
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for file in files {
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plan.push(ZipPlanEntry::File {
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zip_path: format!("{}{}", zip_dir, file.name),
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file_id: file.id.to_string(),
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});
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}
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}
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}
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// ── 5. Open the temp file + ZIP writer ───────────────────────────
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let temp = NamedTempFile::new().map_err(ZipError::IoError)?;
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let tokio_file = tokio::fs::File::create(temp.path())
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.await
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@@ -152,79 +196,131 @@ impl ZipService {
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let buf_writer = BufWriter::with_capacity(256 * 1024, tokio_file);
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let mut zip = ZipFileWriter::with_tokio(buf_writer);
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// ── 5. Write entries (folders are already sorted by path) ─────────
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for folder in &all_folders {
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let zip_dir = format!("{}/", folder_zip_path(&folder.path));
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// ── 6. Write entries: 2-stage pipeline ───────────────────────────
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// The prefetch task reads blob streams for the planned files, in
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// order, ahead of the writer — the next file's blob-store latency
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// overlaps the current file's deflate. If the writer bails out,
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// dropping the receiver makes the prefetcher's next send fail and
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// it stops on its own.
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let file_ids: Vec<String> = plan
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.iter()
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.filter_map(|entry| match entry {
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ZipPlanEntry::File { file_id, .. } => Some(file_id.clone()),
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ZipPlanEntry::Dir(_) => None,
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})
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.collect();
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let (tx, mut rx) = tokio::sync::mpsc::channel::<Prefetched>(PREFETCH_BUFFER_CHUNKS);
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let _prefetcher = tokio::spawn(Self::prefetch_files(
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self.file_service.clone(),
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file_ids,
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tx,
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));
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// Directory entry (Stored, zero-length body)
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let dir_entry = ZipEntryBuilder::new(zip_dir.clone().into(), Compression::Stored);
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match zip.write_entry_whole(dir_entry, &[]).await {
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Ok(()) => debug!("Folder added to ZIP: {}", zip_dir),
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Err(e) => {
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warn!("Could not add folder entry (may already exist): {}", e);
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for entry in &plan {
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match entry {
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ZipPlanEntry::Dir(zip_dir) => {
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let dir_entry =
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ZipEntryBuilder::new(zip_dir.clone().into(), Compression::Stored);
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match zip.write_entry_whole(dir_entry, &[]).await {
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Ok(()) => debug!("Folder added to ZIP: {}", zip_dir),
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Err(e) => {
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warn!("Could not add folder entry (may already exist): {}", e);
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}
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}
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}
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}
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// Files belonging to this folder
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if let Some(files) = files_by_folder.get(&folder.id) {
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for file in files {
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self.add_file_to_zip_streamed(&mut zip, file, &zip_dir)
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.await?;
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ZipPlanEntry::File { zip_path, .. } => {
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Self::write_prefetched_file(&mut zip, zip_path, &mut rx).await?;
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}
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}
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}
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// ── 6. Finalize ──────────────────────────────────────────────────
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// ── 7. Finalize ──────────────────────────────────────────────────
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let mut compat_writer = zip.close().await.map_err(ZipError::AsyncZipError)?;
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compat_writer.close().await.map_err(ZipError::IoError)?;
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Ok(temp)
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}
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/// Streams file content in chunks (~64 KB) into an async ZIP entry,
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/// keeping peak memory independent of individual file sizes.
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async fn add_file_to_zip_streamed(
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&self,
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/// Prefetch stage: streams each planned file's content from the blob
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/// store, in plan order, into the bounded channel. Stops on the first
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/// read error (after forwarding it) or when the writer hangs up.
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async fn prefetch_files(
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file_service: Arc<FileRetrievalService>,
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file_ids: Vec<String>,
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tx: tokio::sync::mpsc::Sender<Prefetched>,
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) {
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for file_id in file_ids {
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let stream = match file_service.get_file_stream(&file_id).await {
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Ok(s) => s,
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Err(e) => {
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error!("Error opening file stream {}: {}", file_id, e);
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let _ = tx
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.send(Prefetched::Err(format!(
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"Error streaming file {}: {}",
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file_id, e
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)))
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.await;
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return;
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}
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};
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let mut stream = std::pin::Pin::from(stream);
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while let Some(chunk_result) = stream.next().await {
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let message = match chunk_result {
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Ok(bytes) => Prefetched::Chunk(bytes),
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Err(e) => Prefetched::Err(format!("Error streaming file {}: {}", file_id, e)),
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};
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let abort = matches!(message, Prefetched::Err(_));
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if tx.send(message).await.is_err() || abort {
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return; // writer gone, or fatal read error forwarded
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}
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}
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if tx.send(Prefetched::End).await.is_err() {
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return; // writer gone
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}
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}
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}
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/// Writer stage: drains one file's prefetched chunks into a Deflate
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/// ZIP entry. Peak memory stays bounded by the channel, independent
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/// of individual file sizes.
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async fn write_prefetched_file(
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zip: &mut AsyncZipWriter,
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file: &FileDto,
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folder_path: &str,
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zip_path: &str,
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rx: &mut tokio::sync::mpsc::Receiver<Prefetched>,
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) -> Result<()> {
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let file_path = format!("{}{}", folder_path, file.name);
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info!("Adding file to ZIP: {}", file_path);
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info!("Adding file to ZIP: {}", zip_path);
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let file_id = file.id.to_string();
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// Open a streaming entry with Deflate compression
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let entry = ZipEntryBuilder::new(file_path.clone().into(), Compression::Deflate);
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let entry = ZipEntryBuilder::new(zip_path.to_string().into(), Compression::Deflate);
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let mut entry_writer = zip
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.write_entry_stream(entry)
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.await
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.map_err(ZipError::AsyncZipError)?;
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// Stream file contents in chunks instead of loading all into RAM
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let stream = match self.file_service.get_file_stream(&file_id).await {
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Ok(s) => s,
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Err(e) => {
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error!("Error opening file stream {}: {}", file_id, e);
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// Close the partially-opened entry before returning
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let _ = entry_writer.close().await;
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return Err(ZipError::FileReadError(format!(
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"Error streaming file {}: {}",
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file_id, e
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))
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.into());
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loop {
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match rx.recv().await {
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Some(Prefetched::Chunk(bytes)) => {
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entry_writer
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.write_all(&bytes)
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.await
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.map_err(ZipError::IoError)?;
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}
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Some(Prefetched::End) => break,
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Some(Prefetched::Err(message)) => {
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// Close the partially-written entry before bailing out.
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let _ = entry_writer.close().await;
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return Err(ZipError::FileReadError(message).into());
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}
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None => {
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let _ = entry_writer.close().await;
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return Err(ZipError::FileReadError(format!(
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"Prefetch stage ended unexpectedly while writing {}",
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zip_path
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))
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.into());
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}
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}
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};
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// Pin the stream so StreamExt::next() can be called
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let mut stream = std::pin::Pin::from(stream);
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while let Some(chunk_result) = stream.next().await {
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let bytes = chunk_result.map_err(ZipError::IoError)?;
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entry_writer
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.write_all(&bytes)
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.await
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.map_err(ZipError::IoError)?;
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}
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// Finalize the entry (writes data descriptor with CRC + sizes)
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@@ -233,7 +329,7 @@ impl ZipService {
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.await
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.map_err(ZipError::AsyncZipError)?;
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debug!("File added to ZIP: {}", file_path);
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debug!("File added to ZIP: {}", zip_path);
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Ok(())
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}
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}
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Reference in New Issue
Block a user