tidaldb/tidal/docs/planning/milestone-1/phase-3/task-02-fjall-backend.md
jx12n 3bcfb3c576 feat: Bazel build, crate docs/ai-lookup, docker images, and engine hardening
- Add BUILD.bazel across tidal, tidal-net, tidal-server, tidalctl for bzlmod build
- Add tidal/ crate docs (README, CHANGELOG, CONTRIBUTING, AGENTS, CLAUDE, API, ARCHITECTURE) and ai-lookup reference
- Add docker standalone/cluster/deploy images, compose, and prometheus config
- Harden WAL (batch format, writer, dedup, diagnostics), text syncer/collectors, and vector registry
- Expand tidalctl CLI and tests; restructure WAL/visibility integration test suites
- Refine tidal-net transport/client/server and tidal-server cluster/scatter-gather
2026-06-07 18:29:38 -06:00

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# Task 02: FjallBackend
## Context
**Milestone:** 1 -- Signal Engine
**Phase:** m1p3 -- Storage Engine Trait and fjall Backend
**Status:** COMPLETE
**Depends On:** Task 01 (`StorageEngine` trait, `WriteBatch`, `StorageError`)
**Blocks:** None (Task 03 is parallel, not sequential)
**Complexity:** M
## Objective
Implement `FjallBackend`, the production storage engine backed by fjall 3's LSM-tree. Wrap it in `FjallStorage` which manages three keyspaces (one per `EntityKind`) and provides entity-kind routing. Implement `FjallAtomicBatch` for cross-keyspace atomic writes.
fjall was chosen (over RocksDB and sled) because it is pure Rust, supports `#![forbid(unsafe_code)]` at the tidalDB level (fjall uses unsafe internally but the API surface is safe), has fast compile times, and exposes the `OwnedWriteBatch` API needed for cross-keyspace atomicity.
## Requirements
- `FjallBackend` wraps a single `fjall::Keyspace` and implements `StorageEngine`
- `scan_prefix` returns a `PrefixIterator<'_>` using fjall's range scan over the keyspace
- `write_batch` uses fjall's batch write API for atomicity within a keyspace
- `FjallStorage` owns a `fjall::Database` with three partitions: "items", "users", "creators"
- `FjallStorage::backend(EntityKind) -> &FjallBackend` routes to the correct partition
- Entity-kind isolation: writes to `EntityKind::Item` never collide with `EntityKind::User` for the same key
- `FjallAtomicBatch` enables cross-partition atomic writes via `fjall::OwnedWriteBatch`
- Data persists across close and reopen: write → `flush_all()` → drop → reopen → read succeeds
- MSRV: 1.91 (required for fjall 3)
## Technical Design
### Architecture
```
FjallStorage
├── items_backend: FjallBackend (fjall partition "items")
├── users_backend: FjallBackend (fjall partition "users")
└── creators_backend: FjallBackend (fjall partition "creators")
```
Each `FjallBackend` wraps one fjall partition. Entity data is isolated by partition (keyspace), not by key prefix. This means the same encoded key `[entity_id][NUL][Tag]` can exist in both "items" and "users" without collision — they are different partition namespaces.
Within each partition, the subject-prefix key encoding enables efficient entity-scoped scans (`scan_prefix(entity_prefix(id))`).
### Public API
```rust
// === fjall.rs ===
/// Production storage engine backed by a single fjall partition.
pub struct FjallBackend {
partition: fjall::PartitionHandle,
}
impl StorageEngine for FjallBackend { /* ... */ }
impl FjallBackend {
/// Create a backend from an existing fjall partition handle.
pub fn new(partition: fjall::PartitionHandle) -> Self;
}
/// Manages three fjall partitions, one per EntityKind.
pub struct FjallStorage {
keyspace: fjall::Keyspace,
items: FjallBackend,
users: FjallBackend,
creators: FjallBackend,
}
impl FjallStorage {
/// Open or create a FjallStorage at the given path.
pub fn open(path: impl AsRef<std::path::Path>) -> Result<Self, StorageError>;
/// Route to the backend for the given entity kind.
pub fn backend(&self, kind: EntityKind) -> &FjallBackend;
/// Flush all partitions to durable storage.
pub fn flush_all(&self) -> Result<(), StorageError>;
/// Begin a cross-partition atomic write batch.
pub fn atomic_batch(&self) -> FjallAtomicBatch;
}
/// Cross-partition atomic write batch.
///
/// Accumulates put/delete operations across multiple partitions
/// and applies them all atomically.
pub struct FjallAtomicBatch {
batch: fjall::OwnedWriteBatch,
keyspace: fjall::Keyspace,
}
impl FjallAtomicBatch {
pub fn put(&mut self, partition: &FjallBackend, key: &[u8], value: &[u8]);
pub fn delete(&mut self, partition: &FjallBackend, key: &[u8]);
/// Commit the batch atomically across all partitions.
pub fn commit(self) -> Result<(), StorageError>;
}
```
## Test Strategy
### Integration Tests (require tempdir)
```rust
#[test]
fn fjall_backend_get_put_delete() {
let dir = tempfile::tempdir().unwrap();
let storage = FjallStorage::open(dir.path()).unwrap();
let backend = storage.backend(EntityKind::Item);
backend.put(b"key1", b"value1").unwrap();
assert_eq!(backend.get(b"key1").unwrap(), Some(b"value1".to_vec()));
backend.delete(b"key1").unwrap();
assert_eq!(backend.get(b"key1").unwrap(), None);
}
#[test]
fn fjall_backend_scan_prefix() {
let dir = tempfile::tempdir().unwrap();
let storage = FjallStorage::open(dir.path()).unwrap();
let backend = storage.backend(EntityKind::Item);
let id = EntityId::new(42);
backend.put(&encode_key(id, Tag::Meta, b"a"), b"v1").unwrap();
backend.put(&encode_key(id, Tag::Meta, b"b"), b"v2").unwrap();
backend.put(&encode_key(EntityId::new(43), Tag::Meta, b"a"), b"v3").unwrap();
let prefix = entity_prefix(id);
let results: Vec<_> = backend.scan_prefix(&prefix).collect::<Result<Vec<_>, _>>().unwrap();
assert_eq!(results.len(), 2); // only entity 42's keys
}
#[test]
fn fjall_entity_kind_isolation() {
let dir = tempfile::tempdir().unwrap();
let storage = FjallStorage::open(dir.path()).unwrap();
let key = encode_key(EntityId::new(1), Tag::Meta, b"");
storage.backend(EntityKind::Item).put(&key, b"item_value").unwrap();
storage.backend(EntityKind::User).put(&key, b"user_value").unwrap();
assert_eq!(storage.backend(EntityKind::Item).get(&key).unwrap(), Some(b"item_value".to_vec()));
assert_eq!(storage.backend(EntityKind::User).get(&key).unwrap(), Some(b"user_value".to_vec()));
}
#[test]
fn fjall_persistence_survives_reopen() {
let dir = tempfile::tempdir().unwrap();
{
let storage = FjallStorage::open(dir.path()).unwrap();
storage.backend(EntityKind::Item).put(b"k", b"v").unwrap();
storage.flush_all().unwrap();
} // storage dropped here
let storage2 = FjallStorage::open(dir.path()).unwrap();
assert_eq!(storage2.backend(EntityKind::Item).get(b"k").unwrap(), Some(b"v".to_vec()));
}
#[test]
fn fjall_atomic_batch_all_or_nothing() {
let dir = tempfile::tempdir().unwrap();
let storage = FjallStorage::open(dir.path()).unwrap();
let mut batch = storage.atomic_batch();
batch.put(storage.backend(EntityKind::Item), b"item_key", b"item_val");
batch.put(storage.backend(EntityKind::User), b"user_key", b"user_val");
batch.commit().unwrap();
assert_eq!(storage.backend(EntityKind::Item).get(b"item_key").unwrap(), Some(b"item_val".to_vec()));
assert_eq!(storage.backend(EntityKind::User).get(b"user_key").unwrap(), Some(b"user_val".to_vec()));
}
#[test]
fn fjall_write_batch_atomic_within_partition() {
let dir = tempfile::tempdir().unwrap();
let storage = FjallStorage::open(dir.path()).unwrap();
let backend = storage.backend(EntityKind::Item);
let mut batch = WriteBatch::new();
batch.put(b"k1".to_vec(), b"v1".to_vec());
batch.put(b"k2".to_vec(), b"v2".to_vec());
batch.delete(b"k_missing".to_vec());
backend.write_batch(batch).unwrap();
assert_eq!(backend.get(b"k1").unwrap(), Some(b"v1".to_vec()));
assert_eq!(backend.get(b"k2").unwrap(), Some(b"v2".to_vec()));
}
```
## Acceptance Criteria
- [x] `FjallBackend` implements all `StorageEngine` methods
- [x] `scan_prefix` returns keys in lexicographic order (guaranteed by fjall's LSM-tree)
- [x] `FjallStorage` creates three partitions: "items", "users", "creators"
- [x] `FjallStorage::backend(EntityKind)` routes to the correct partition
- [x] Same key written to different entity kind partitions does not collide
- [x] `FjallAtomicBatch::commit()` applies operations across partitions atomically
- [x] Data persists across close and reopen (flush_all + reopen test passes)
- [x] `cargo clippy -D warnings` passes with fjall 3
## Research References
- [thoughts.md](../../../../thoughts.md) — Part V.9 (fjall chosen over RocksDB: pure Rust, fast compile, trait-abstracted for swap; sled not considered due to maintenance uncertainty)
- [CODING_GUIDELINES.md](../../../../CODING_GUIDELINES.md) — Section 10 (fjall as primary backend, RocksDB deferred indefinitely unless benchmarks demand it)
## Implementation Notes
- fjall 3 requires MSRV 1.91. The `rust-version` field in `tidal/Cargo.toml` is set accordingly.
- `FjallBackend::scan_prefix` uses fjall's range scan from `prefix` to `prefix + 1` (lexicographic upper bound). Construct the upper bound by incrementing the last non-0xFF byte of the prefix.
- `FjallAtomicBatch` holds a reference to the `fjall::Keyspace` (not the individual partitions) because `OwnedWriteBatch` needs to be committed against the keyspace, not a partition.
- `StorageError::Backend(String)` captures fjall errors via `format!("{}", fjall_err)`. The fjall error type is not re-exported because higher modules should not depend on fjall directly.
- The `#![forbid(unsafe_code)]` directive applies to the `tidal` crate; fjall's internal unsafe code is behind a dependency boundary and does not violate this rule.