761d159a92
- Replace whole-file SHA-256 dedup with FastCDC 2020 content-defined chunking (min 64KB, avg 256KB, max 1MB) + BLAKE3 hashing - Add chunk_manifests table (file_hash → chunk_hashes[] + chunk_sizes[]) - Add put_blob_from_bytes to BlobStorageBackend trait (all 7 backends) - 3-phase store_chunks pipeline: Phase 0: batch-check existing chunks (single PG query) Phase 1: selective disk read (skip existing chunks entirely) Phase 2: parallel upload with buffer_unordered(8) - CDC-aware read_blob_stream and read_blob_range_stream with legacy fallback - Transactional manifest + chunk ref-count cascade on remove_reference - 12 CDC tests (determinism, reassembly, contiguity, sub-file dedup, etc.) - Update deduplication.md to reflect new architecture
457 lines
20 KiB
Markdown
457 lines
20 KiB
Markdown
# 06 - Deduplication
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OxiCloud uses **content-defined chunking (CDC)** via FastCDC for sub-file deduplication. Files are split into variable-size chunks (64 KB – 1 MB, average 256 KB) using the FastCDC 2020 algorithm. Each chunk is individually BLAKE3-hashed and stored in a pluggable blob backend (local FS, S3, Azure). A PostgreSQL *manifest* maps the whole-file BLAKE3 hash to the ordered list of chunk hashes that compose it. Identical chunks across any files are stored once and reference-counted.
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Deduplication is always enabled and non-fatal — if dedup fails, file operations proceed normally with a warning log.
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**Backward compatibility**: files uploaded before CDC (legacy whole-file blobs in `storage.blobs`) are served transparently. When no manifest row exists for a hash, the service falls back to direct blob reads.
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## Architecture
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```
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┌─────────────────┐ ┌─────────────────────┐ ┌───────────────┐
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│ storage.files │────▶│ chunk_manifests │────▶│ storage.blobs │──▶ Blob Store
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│ (references) │ │ (file→[chunk_hashes])│ │ (chunks) │ (Local/S3/Azure)
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└─────────────────┘ └─────────────────────┘ └───────────────┘
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```
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### Database Tables
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| Table | Schema | Purpose |
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|---|---|---|
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| `storage.chunk_manifests` | `storage` | Maps file_hash → ordered chunk_hashes[] + chunk_sizes[] + ref_count |
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| `storage.blobs` | `storage` | Per-chunk metadata: hash (PK), size, ref_count, content_type |
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Defined in `migrations/20260414000000_chunk_manifests.sql`. Blobs table is part of the initial schema.
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### Layer Placement
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| Layer | Component | File |
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|---|---|---|
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| Application Port | **DedupPort** trait + DTOs | `src/application/ports/dedup_ports.rs` |
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| Application Port | **BlobStorageBackend** trait | `src/application/ports/blob_storage_ports.rs` |
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| Infrastructure | **DedupService** implementation | `src/infrastructure/services/dedup_service.rs` |
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| Infrastructure | Blob backends (Local, S3, Azure, Retry, Encrypted, Cached, Migration) | `src/infrastructure/services/*_blob_backend.rs` |
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| Interfaces | **DedupHandler** REST endpoints | `src/interfaces/api/handlers/dedup_handler.rs` |
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| Integration | **FileBlobWriteRepository** (dedup on upload) | `src/infrastructure/repositories/pg/file_blob_write_repository.rs` |
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| Integration | **FileBlobReadRepository** (dedup reads) | `src/infrastructure/repositories/pg/file_blob_read_repository.rs` |
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## Constants
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| Constant | Value | Description |
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|---|---|---|
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| `CDC_MIN_CHUNK` | 64 KB (`65_536`) | Minimum CDC chunk size |
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| `CDC_AVG_CHUNK` | 256 KB (`262_144`) | Average / target CDC chunk size |
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| `CDC_MAX_CHUNK` | 1 MB (`1_048_576`) | Maximum CDC chunk size |
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| `CHUNK_UPLOAD_CONCURRENCY` | 8 | Maximum parallel chunk uploads to blob backend |
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Hardcoded in `dedup_service.rs`.
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## Write Path: `store_from_file`
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The core write operation follows a **write-first strategy** that never holds a PG connection during disk I/O:
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```
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store_from_file(source_path, content_type, pre_computed_hash)
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│
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├─ Fast path: pre_computed_hash provided?
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│ └─ try_dedup_hit() → check manifest + legacy blob
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│ └─ Hit? → bump ref_count, delete source, return ExistingBlob
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│
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├─ CDC analysis (single mmap pass, spawn_blocking):
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│ ├─ Memory-map the file (memmap2)
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│ ├─ FastCDC 2020 boundary detection → ChunkMeta[]
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│ └─ BLAKE3 whole-file hash (concurrent with chunking)
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│
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├─ Second dedup check with computed hash (if no pre_computed_hash)
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│
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├─ store_chunks() — 3-phase pipeline:
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│ │
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│ ├─ Phase 0: Batch-check existing chunks (single PG query)
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│ │ SELECT hash FROM storage.blobs WHERE hash = ANY($1)
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│ │ → HashSet<String> of already-stored chunk hashes
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│ │
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│ ├─ Phase 1: Selective disk read (sequential, one pass)
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│ │ For each chunk:
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│ │ existing? → skip read (None)
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│ │ new? → seek + read_exact → Some(Bytes)
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│ │
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│ └─ Phase 2: Parallel operations (buffer_unordered × 8)
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│ new chunk: put_blob_from_bytes + INSERT ON CONFLICT
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│ existing chunk: UPDATE ref_count + 1 (no disk I/O)
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│
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├─ INSERT manifest into storage.chunk_manifests
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│ (file_hash, chunk_hashes[], chunk_sizes[], total_size, chunk_count)
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│
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└─ Delete source file, return NewBlob { hash, size }
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```
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### Dedup Skip Optimization
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The **biggest I/O saving** for versioned files. Before reading any chunk from disk or uploading it to the blob backend, `store_chunks` batch-queries PG to discover which chunk hashes already exist:
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```sql
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SELECT hash FROM storage.blobs WHERE hash = ANY($1)
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```
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This single round-trip returns all known chunks. For each existing chunk, the service skips:
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- `seek()` + `read_exact()` from the source file (no disk I/O)
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- `put_blob_from_bytes()` to the backend (no network I/O for S3/Azure)
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Only a lightweight `UPDATE ref_count + 1` is executed in PG (~0.1 ms per chunk).
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**Impact**: for a 100 MB versioned file where 95% of chunks are unchanged, only ~5 MB is read from disk and uploaded. The remaining 95% costs only PG ref-count bumps.
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### Parallel Chunk Storage
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Phase 2 of `store_chunks` uses `futures::stream::buffer_unordered(8)` to execute up to 8 concurrent chunk operations. This is a major win for S3/Azure backends where each PUT has 50-200 ms of network latency.
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Chunk order in the returned `(chunk_hashes, chunk_sizes)` is preserved by deriving both from the original `ChunkMeta` slice (CDC order), not from the unordered parallel results.
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### Full-File Dedup Hit (Fast Path)
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When a file with the exact same BLAKE3 hash already has a manifest, `try_dedup_hit` returns immediately:
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- Bumps `chunk_manifests.ref_count`
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- Deletes the source file
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- Returns `ExistingBlob` — **zero chunk I/O**
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Also checks legacy whole-file blobs in `storage.blobs` for backward compatibility.
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## Read Path
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### Streaming Read (`read_blob_stream`)
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CDC-aware with legacy fallback:
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1. Query `chunk_manifests` for `chunk_hashes[]`
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2. If found: stream chunks in order via `backend.get_blob_stream(chunk_hash)`, concatenated into a single byte stream with `buffered(1) + try_flatten`
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3. If not found: fall back to `backend.get_blob_stream(hash)` for legacy blobs
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### Range Read (`read_blob_range_stream`)
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For HTTP Range requests (and WOPI/WebDAV partial reads):
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1. Query manifest for `chunk_hashes[]`, `chunk_sizes[]`, `total_size`
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2. Calculate which chunks overlap `[start, end)` using cumulative offsets
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3. For each overlapping chunk, compute the sub-range within that chunk
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4. Stream only the relevant chunk portions via `backend.get_blob_range_stream()`
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### Blob Size (`blob_size`)
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Returns `total_size` from the manifest (O(1) PG lookup). Falls back to `backend.blob_size()` for legacy blobs. Used by HEAD requests for Content-Length.
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## Reference Counting
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### Adding References (`add_reference`)
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Manifest-aware with legacy fallback:
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1. Try `UPDATE chunk_manifests SET ref_count = ref_count + 1 WHERE file_hash = $1`
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2. If no rows affected, try `UPDATE storage.blobs SET ref_count + 1 WHERE hash = $1`
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3. If neither exists, return NotFound error
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### Removing References (`remove_reference`)
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**CDC manifest path** (transactional):
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1. Check `chunk_manifests` for the file hash
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2. If `ref_count > 1`: decrement manifest ref_count → commit
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3. If `ref_count == 1` (last reference):
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- `SELECT ... FOR UPDATE` to lock the manifest row
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- `DELETE FROM chunk_manifests`
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- `UPDATE storage.blobs SET ref_count = ref_count - 1 WHERE hash = ANY(chunk_hashes)`
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- `DELETE FROM storage.blobs WHERE hash = ANY(chunk_hashes) AND ref_count <= 0 RETURNING hash`
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- Commit TX
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- Delete orphaned chunk blob files from backend (after commit)
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**Legacy blob path** (transactional):
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1. `SELECT ref_count, size FROM storage.blobs WHERE hash = $1 FOR UPDATE`
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2. If `ref_count == 1`: `DELETE FROM storage.blobs` + delete blob file
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3. If `ref_count > 1`: `UPDATE SET ref_count = ref_count - 1`
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## Port: DedupPort Trait
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Defined in `src/application/ports/dedup_ports.rs`:
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```rust
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pub trait DedupPort: Send + Sync + 'static {
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/// Store content with CDC deduplication (from file).
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async fn store_from_file(
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&self,
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source_path: &Path,
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content_type: Option<String>,
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pre_computed_hash: Option<String>,
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) -> Result<DedupResultDto, DomainError>;
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/// Check if a blob exists by hash (manifest or legacy).
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async fn blob_exists(&self, hash: &str) -> bool;
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/// Get metadata for a blob.
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async fn get_blob_metadata(&self, hash: &str) -> Option<BlobMetadataDto>;
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/// Stream blob content — CDC-aware with legacy fallback.
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async fn read_blob_stream(&self, hash: &str)
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-> Result<Pin<Box<dyn Stream<Item = Result<Bytes, io::Error>> + Send>>, DomainError>;
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/// Stream a byte range — CDC-aware with legacy fallback.
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async fn read_blob_range_stream(&self, hash: &str, start: u64, end: Option<u64>)
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-> Result<Pin<Box<dyn Stream<Item = Result<Bytes, io::Error>> + Send>>, DomainError>;
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/// Get blob size without reading content.
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async fn blob_size(&self, hash: &str) -> Result<u64, DomainError>;
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/// Increment reference count (manifest-aware).
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async fn add_reference(&self, hash: &str) -> Result<(), DomainError>;
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/// Decrement reference count. Returns true if blob was deleted.
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async fn remove_reference(&self, hash: &str) -> Result<bool, DomainError>;
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/// Calculate BLAKE3 hash of a file (mmap + rayon).
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async fn hash_file(&self, path: &Path) -> Result<String, DomainError>;
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/// Get local filesystem path for a blob hash.
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fn blob_path(&self, hash: &str) -> PathBuf;
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/// Get deduplication statistics (computed from PG).
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async fn get_stats(&self) -> DedupStatsDto;
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/// Flush index to persistent storage (no-op for PG backend).
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async fn flush(&self) -> Result<(), DomainError>;
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/// Verify integrity of all stored blobs and manifests.
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async fn verify_integrity(&self) -> Result<Vec<String>, DomainError>;
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}
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```
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### Port DTOs
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```rust
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/// Result of a dedup store operation.
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pub enum DedupResultDto {
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NewBlob { hash: String, size: u64 },
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ExistingBlob { hash: String, size: u64, saved_bytes: u64 },
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}
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// Methods: hash(), size(), was_deduplicated()
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/// Metadata for a stored blob.
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pub struct BlobMetadataDto {
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pub hash: String, // BLAKE3 hex string
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pub size: u64,
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pub ref_count: u32,
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pub content_type: Option<String>,
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}
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/// Aggregate dedup statistics (computed from PG).
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pub struct DedupStatsDto {
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pub total_blobs: u64,
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pub total_bytes_stored: u64,
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pub total_bytes_referenced: u64,
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pub bytes_saved: u64,
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pub dedup_hits: u64,
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pub dedup_ratio: f64,
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}
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```
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## Infrastructure: DedupService
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Implemented in `src/infrastructure/services/dedup_service.rs`.
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### Struct
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```rust
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pub struct DedupService {
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backend: Arc<dyn BlobStorageBackend>, // Pluggable blob storage (Local/S3/Azure/...)
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pool: Arc<PgPool>, // Primary pool (request-path operations)
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maintenance_pool: Arc<PgPool>, // Isolated pool (verify_integrity, GC)
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}
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```
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### Key Methods
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| Method | Description |
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|---|---|
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| `new(backend, pool, maintenance_pool)` | Construct — wires pluggable backend + dual PG pools |
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| `initialize()` | Initialize backend + log blob/manifest counts from PG |
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| `cdc_hash_and_chunk_file(path)` | Single mmap pass: BLAKE3 whole-file hash + FastCDC chunk boundaries + per-chunk BLAKE3 |
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| `cdc_chunk_file(path)` | CDC without whole-file hash (when hash is pre-computed) |
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| `hash_file(path)` | BLAKE3 hash via mmap + rayon parallelism |
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| `store_from_file(path, ct, hash)` | CDC → store_chunks → manifest INSERT (main write path) |
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| `try_dedup_hit(hash, path)` | Check manifest/legacy for full-file dedup hit |
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| `store_chunks(path, chunks)` | 3-phase: batch-check → selective read → parallel upload |
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| `blob_exists(hash)` | Check manifest + legacy blob existence |
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| `user_owns_blob_reference(hash, user_id)` | Authorization: check file ownership |
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| `get_blob_metadata(hash)` | Manifest-aware metadata with legacy fallback |
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| `add_reference(hash)` | Manifest-aware ref_count increment |
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| `remove_reference(hash)` | Manifest-aware ref_count decrement + cascade cleanup |
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| `read_blob_stream(hash)` | CDC chunk-streaming with legacy fallback |
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| `read_blob_range_stream(hash, start, end)` | CDC range-streaming with legacy fallback |
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| `blob_size(hash)` | O(1) from manifest, fallback to backend |
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| `get_stats()` | Compute stats from PG (blobs + manifests) |
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| `verify_integrity()` | Verify manifests (counts, sizes) + blobs (existence, size, re-hash) |
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| `garbage_collect()` | Batch-delete orphaned manifests/blobs (uses maintenance pool) |
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### Key Behaviors
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- **CDC analysis in `spawn_blocking`**: mmap + FastCDC runs off the async runtime to avoid blocking the event loop
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- **Dual PG pools**: request-path operations use the primary pool; `verify_integrity` and `garbage_collect` use the maintenance pool to prevent starvation
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- **Pluggable blob backend**: all chunk I/O goes through `Arc<dyn BlobStorageBackend>` — works with local FS, S3, Azure, or any composed backend (retry, encryption, caching)
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- **Atomic chunk storage**: `put_blob_from_bytes` is idempotent; `INSERT ON CONFLICT` handles concurrent uploads of the same chunk
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- **Delete-after-commit**: blob files are deleted from the backend only after the PG transaction commits, preventing orphaned PG rows
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- **Flush is no-op**: PG handles durability via WAL/commit — no explicit index persistence needed
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## REST API Endpoints
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All routes under `/api/dedup`, authentication required.
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| Method | Path | Handler | Description |
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|---|---|---|---|
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| `GET` | `/api/dedup/check/{hash}` | `DedupHandler::check_hash` | Check if a blob exists by BLAKE3 hash |
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| `POST` | `/api/dedup/upload` | `DedupHandler::upload_with_dedup` | Multipart upload with automatic dedup |
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| `GET` | `/api/dedup/stats` | `DedupHandler::get_stats` | Get deduplication statistics |
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| `GET` | `/api/dedup/blob/{hash}` | `DedupHandler::get_blob` | Retrieve raw blob content by hash |
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| `DELETE` | `/api/dedup/blob/{hash}` | `DedupHandler::remove_reference` | Decrement ref-count (deletes blob if 0) |
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| `POST` | `/api/dedup/recalculate` | `DedupHandler::recalculate_stats` | Run integrity verification + refresh stats |
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### API Response Types
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**Hash Check** (`GET /api/dedup/check/{hash}`):
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```json
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{
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"exists": true,
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"hash": "a1b2c3d4...",
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"existing_size": 1048576,
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"ref_count": 3
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}
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```
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**Dedup Upload** (`POST /api/dedup/upload`):
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```json
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{
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"is_new": false,
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"hash": "a1b2c3d4...",
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"size": 1048576,
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"bytes_saved": 1048576,
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"ref_count": 2
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}
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```
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**Stats** (`GET /api/dedup/stats`):
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```json
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{
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"unique_blobs": 150,
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"total_references": 300,
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"bytes_saved": 524288000,
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"total_logical_bytes": 1073741824,
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"total_physical_bytes": 549453824,
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"dedup_ratio": 2.0,
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"savings_percentage": 48.8
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}
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```
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## DI Wiring
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In `src/common/di.rs`:
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```rust
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// Blob backend is assembled from layered backends:
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// LocalBlobBackend / S3BlobBackend / AzureBlobBackend
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// → RetryBlobBackend → EncryptedBlobBackend → CachedBlobBackend
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let blob_backend: Arc<dyn BlobStorageBackend> = /* ... */;
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// DedupService receives the composed blob backend + dual PG pools
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let dedup_service = Arc::new(DedupService::new(
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blob_backend,
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db_pool.clone(),
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maintenance_pool.clone(),
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));
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dedup_service.initialize().await?;
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// Stored in CoreServices as:
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pub struct CoreServices {
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pub dedup_service: Arc<dyn DedupPort>,
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// ...
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}
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// Injected into blob repositories:
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FileBlobReadRepository::new(pool, core.dedup_service.clone(), folder_repo)
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FileBlobWriteRepository::new(pool, core.dedup_service.clone(), folder_repo)
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```
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## Maintenance
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### Garbage Collection (`garbage_collect`)
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Two-phase batch deletion using the maintenance pool:
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1. **Phase 1 — Orphaned manifests**: `DELETE FROM chunk_manifests WHERE ref_count <= 0` (batches of 500). For each deleted manifest, `UPDATE storage.blobs SET ref_count = ref_count - 1` for its chunks.
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2. **Phase 2 — Orphaned blobs**: `DELETE FROM storage.blobs WHERE ref_count <= 0` (batches of 500). Deletes blob files from backend + thumbnail cleanup (best-effort).
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Uses `tokio::task::yield_now()` between batches to avoid starving other tasks.
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### Integrity Verification (`verify_integrity`)
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Phase 1 — Verify CDC manifests:
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- `chunk_hashes.len() == chunk_sizes.len()`
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- `SUM(chunk_sizes) == total_size`
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- Every referenced chunk exists in the blob backend with correct size
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Phase 2 — Verify blobs (chunks + legacy):
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- Blob file exists in backend
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- Actual size matches PG record
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- (Local backends only) Re-hash file content to verify BLAKE3 integrity
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- Processes 16 blobs concurrently via `buffer_unordered`
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## Tests
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Located at the bottom of `src/infrastructure/services/dedup_service.rs` (12 tests):
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| Test | Description |
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|---|---|
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| `test_cdc_deterministic_same_content` | Same content → same file hash + same chunk hashes/offsets/lengths |
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| `test_cdc_empty_file` | Empty file → zero chunks, correct BLAKE3 empty hash |
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| `test_cdc_small_file_single_chunk` | File below min chunk → single chunk covering entire file |
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| `test_cdc_chunk_sizes_within_bounds` | All non-last chunks are within [64 KB, 1 MB] |
|
||
| `test_cdc_file_hash_matches_hash_file` | CDC whole-file hash matches standalone `hash_file()` |
|
||
| `test_cdc_chunk_hashes_are_correct` | Each chunk hash == BLAKE3 of that chunk's data |
|
||
| `test_cdc_reassembly_matches_original` | Concatenating chunks reproduces original file |
|
||
| `test_cdc_chunks_are_contiguous` | Chunks cover entire file with no gaps or overlaps |
|
||
| `test_cdc_similar_files_share_chunks` | Editing last 64 KB of 2 MB file → most chunks shared |
|
||
| `test_cdc_chunk_file_matches_full` | `cdc_chunk_file` produces same chunks as `cdc_hash_and_chunk_file` |
|
||
| `test_cdc_large_file_chunk_count` | 8 MB file produces 8-128 chunks (avg ~256 KB) |
|
||
| `test_cdc_insert_at_beginning_preserves_later_chunks` | 128 KB prefix insert → CDC resynchronizes, later chunks shared |
|
||
|
||
## Performance Characteristics
|
||
|
||
| Scenario | Behavior |
|
||
|---|---|
|
||
| **First upload of new file** | Single mmap pass (CDC + hash) → parallel chunk upload → manifest INSERT |
|
||
| **Re-upload of identical file** | `try_dedup_hit` → manifest ref_count bump → zero chunk I/O |
|
||
| **Upload of edited file (5% changed)** | CDC → batch-check finds 95% existing → reads only 5% → uploads 5% → ref-bumps 95% |
|
||
| **Range read (1 MB from 1 GB file)** | Manifest lookup → identify overlapping chunks → stream only those portions |
|
||
| **Delete last reference** | TX: delete manifest → batch-decrement chunks → delete zero-ref chunks → commit → delete blob files |
|
||
| **Garbage collection** | Maintenance pool, batches of 500, yields between batches |
|
||
|
||
## Client Usage Example
|
||
|
||
```bash
|
||
# 1. Check if file already exists by hash
|
||
HASH=$(b3sum myfile.txt | cut -d' ' -f1)
|
||
curl -H "Authorization: Bearer $TOKEN" \
|
||
"https://oxicloud.example.com/api/dedup/check/$HASH"
|
||
|
||
# 2. Upload with dedup (if not exists)
|
||
curl -X POST -H "Authorization: Bearer $TOKEN" \
|
||
-F "file=@myfile.txt" \
|
||
"https://oxicloud.example.com/api/dedup/upload"
|
||
|
||
# 3. Get dedup statistics
|
||
curl -H "Authorization: Bearer $TOKEN" \
|
||
"https://oxicloud.example.com/api/dedup/stats"
|
||
|
||
# 4. Retrieve blob content
|
||
curl -H "Authorization: Bearer $TOKEN" \
|
||
"https://oxicloud.example.com/api/dedup/blob/$HASH" -o output.bin
|
||
|
||
# 5. Recalculate stats with integrity check
|
||
curl -X POST -H "Authorization: Bearer $TOKEN" \
|
||
"https://oxicloud.example.com/api/dedup/recalculate"
|
||
```
|