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jedarden 680e78fd3d P3: Verify Phase 3 Task Registry + Persistence completion
Phase 3 — Task Registry + Persistence (SQLite schema, Redis mirror)
was already implemented in prior commits. Verified all components:

- 14-table SQLite schema with migrations (001, 002, 003)
- Redis-backed TaskStore implementation mirroring all tables
- Schema versioning and migration system
- Property tests for SQLite (proptest)
- Restart resilience tests (task_survives_store_reopen, all_tables_survive_store_reopen)
- Redis integration tests with testcontainers
- O(cardinality) list iteration via _index secondary sets
- Helm schema validation enforcing Redis when replicas > 1
- Redis memory accounting test (plan §14.7)

All 36 task store tests pass.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-02 17:05:46 -04:00
.beads P3: Verify Phase 3 Task Registry + Persistence completion 2026-05-02 17:05:46 -04:00
.cargo Multi-stage Dockerfile with musl cross-compilation and .dockerignore 2026-04-19 13:47:45 -04:00
.github P8.6: Release mechanics — bump script, release-ready check, PR template, Argo CIs 2026-04-19 09:54:26 -04:00
benches P12.OP4: Implement dfs_query_then_fetch for cross-shard comparability 2026-04-19 03:43:10 -04:00
charts/miroir P3: Task Registry + Persistence — 14-table SQLite schema, Redis mirror, Helm validation 2026-04-24 15:50:20 -04:00
crates P3: Phase 3 Task Registry + Persistence — COMPLETE 2026-05-02 16:50:42 -04:00
dashboards P7.3: Add §13.1 resharding row to Grafana dashboard, fix y-coordinate overlaps 2026-04-19 13:18:13 -04:00
docs P3: Complete Phase 3 — Task Registry + Persistence (SQLite + Redis) 2026-05-02 16:52:25 -04:00
k8s P12: close Phase 12 epic — all 6 open problems triaged and documented 2026-04-24 19:14:23 -04:00
notes P3: Phase 3 Task Registry + Persistence — COMPLETE 2026-05-02 16:50:42 -04:00
scripts P8.6: Release mechanics — bump script, release-ready check, PR template, Argo CIs 2026-04-19 09:54:26 -04:00
tests/benches/score-comparability P2.2: Implement write path with primary key validation, shard injection, and two-rule quorum 2026-04-19 06:48:30 -04:00
.dockerignore Multi-stage Dockerfile with musl cross-compilation and .dockerignore 2026-04-19 13:47:45 -04:00
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.needle-predispatch-sha P3: Verify Phase 3 Task Registry + Persistence completion 2026-05-02 17:05:46 -04:00
1 P7.5.a: Request ID middleware + X-Request-Id response header 2026-04-21 08:01:30 -04:00
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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.