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a1251327b1
The Redis TaskStore implementation in crates/miroir-core/src/task_store/redis.rs was already complete. This commit updates the beads tracking files to reflect that the work was done in a previous iteration. The Redis backend implements all 14 tables from plan §4: - tasks, node_settings_version, aliases, sessions, idempotency_cache - jobs, leader_lease, canaries, canary_runs, cdc_cursors - tenant_map, rollover_policies, search_ui_config, admin_sessions Plus extras from plan §4 footnotes: - search_ui_scoped_key with observation tracking - rate limiting for searchui and adminlogin - CDC overflow buffer with bounded byte budget - Pub/Sub for admin session revocation Acceptance tests included: - test_redis_lease_race: verifies exactly one pod wins - test_redis_memory_budget: 10k tasks + 1k sessions + 1k idempotency - test_redis_pubsub_session_invalidation: <100ms propagation Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .github | ||
| benches | ||
| charts/miroir | ||
| crates | ||
| dashboards | ||
| docs | ||
| k8s | ||
| scripts | ||
| tests/benches/score-comparability | ||
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| Cargo.lock | ||
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| CHANGELOG.md | ||
| clippy.toml | ||
| Dockerfile | ||
| LICENSE | ||
| miroir.yaml | ||
| README.md | ||
| rust-toolchain.toml | ||
| rustfmt.toml | ||
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.