No description
605be4cb07
Implemented the TaskStore trait and SQLite backend for the first 7 tables: 1. tasks - Miroir task registry with JSON node_tasks field 2. node_settings_version - per-(index, node) settings freshness tracking 3. aliases - single and multi-target alias support with history 4. sessions - read-your-writes session pins 5. idempotency_cache - BLOB body_sha256 field for request deduplication 6. jobs - background job queue with claim expiration 7. leader_lease - advisory lock for leader election Key implementation details: - Idempotent migrations using CREATE TABLE IF NOT EXISTS - Schema version tracking with single SELECT check - WAL mode enabled for concurrent write support - PRAGMA busy_timeout=5000 to prevent deadlocks - JSON columns properly serialized/deserialized - BLOB fields for binary data (SHA256 hashes) All acceptance criteria met: - cargo test -p miroir-core task_store::sqlite - all CRUD round-trips pass - Opening existing DB skips migrations via schema version check - Concurrent writes work without deadlock (WAL + busy_timeout) - Table sizes fit within 100 MB task registry cache budget Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Miroir
Multi-node Index Replication Orchestrator, Integrated Rebalancing
Miroir is a RAID-like orchestration layer for Meilisearch. It stripes a large index across a fleet of small-RAM Meilisearch nodes with a configurable replication factor, fans out search queries across all shards, and rebalances shard assignments when nodes are added or removed — all using the Meilisearch Community Edition.
The Problem
Meilisearch loads its entire index into memory-mapped LMDB files. A large index that exceeds a single server's available RAM cannot run on that server. The Enterprise Edition's native sharding is gated behind a commercial license. Miroir solves this without it.
How It Works
Client
│
▼
Miroir Orchestrator
├── Write path: hash(doc_id) → assign to shard → write to R replicas
├── Read path: scatter query to all shards → gather → merge ranked results
└── Rebalance: on node add/remove → recompute assignments → migrate minimum shards
Meilisearch Nodes (N instances, each holding a subset of shards)
node-0 node-1 node-2 ... node-N
Replication Factor
Analogous to software RAID — configurable per deployment:
| RF | Redundancy | Node failures tolerated | Capacity |
|---|---|---|---|
| 1 | None (stripe only) | 0 | 100% of fleet |
| 2 | One replica | 1 per shard group | 50% of fleet |
| 3 | Two replicas | 2 per shard group | 33% of fleet |
Key Components
- Orchestrator — proxy that handles shard routing, scatter-gather, result merging, and topology management
- Shard router — consistent hash function (Rendezvous/HRW) mapping document IDs to node assignments; minimal reshuffling on topology change
- Rebalancer — on node add/remove, recomputes assignments and migrates only the shards that changed owners; surviving replicas serve reads during rebuild
- Result merger — normalizes and merges ranked result sets from multiple shards into a single coherent response
Status
Design phase. See docs/ for architecture detail.