53 lines
3.3 KiB
Markdown
53 lines
3.3 KiB
Markdown
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# Progress
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## Session 1 — Simulation Test Breadth (2026-02-12)
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### Completed
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1. **Research phase**: Studied Hashicorp memberlist, FoundationDB DST, Antithesis, TigerBeetle VOPR, Turmoil/MadSim, Jepsen nemeses
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- Notes in `CLAUDE/notes/research_simulation_testing.md`
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2. **Enhanced simulation harness** (`crates/simulation/src/distribution/sim.rs`):
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- Added `NetworkFault` enum: `Partition`, `Heal`, `SetDropRate`
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- Added `Partition` struct with `side_a`, `side_b`, `asymmetric` fields
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- Added `NetworkState` with blocked-pair tracking and LCG-based message dropping
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- Modified `deliver_actions_tagged` → `deliver_actions_tagged_with_net` (respects network faults)
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- Existing 6 distribution tests unaffected (backward compatible)
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3. **15 new cluster scenario tests** (`crates/simulation/tests/cluster_scenarios.rs`):
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- Symmetric partition (split-brain, each side forms sub-cluster)
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- Asymmetric partition (one-way communication)
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- 10% message loss (converges with tuned timeouts)
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- 30% message loss (degrades but doesn't crash)
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- Seed node death (cluster survives without seed)
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- Simultaneous 2-node failure
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- Cascading sequential failure (3 nodes killed over time)
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- Large cluster (50 nodes)
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- Rapid churn (kill/revive cycles)
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- Crash detection speed (bounded detection time)
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- Partition + kill in minority side
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- Actor resolution during partition
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- Dissemination completeness (10-node cluster, all detect death)
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- Sequential partitions (fragment cluster)
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- Brief message loss recovery
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### Key Findings
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- **SWIM does not auto-rediscover dead-declared nodes** after partition heals. Once the suspicion timeout expires and a node is declared dead, it's permanently removed. Re-discovery requires the join protocol.
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- **Message loss is highly destabilizing** for SWIM because it affects both the direct probe AND the indirect probe simultaneously. Even 15% loss with default config can cause false deaths.
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- **Tuning suspicion_timeout and indirect_probes** is critical for lossy networks. Higher values tolerate more loss but increase detection latency.
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- **The LCG PRNG for message dropping needs a non-zero seed** to avoid correlated early values.
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### Next Steps
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1. **Depth: Property-based invariant checking** — Add formal SWIM invariants (completeness, accuracy) as automated property checks
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2. **Message reordering** — Add out-of-order delivery to the network model
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3. **Kademlia-specific scenarios** — Test routing table convergence under churn, directory repair after death
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4. **Suspicion refutation tests** — Verify incarnation bump prevents false death declarations
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5. **Graceful leave protocol** — Wire `node.leave()` into the simulation (currently only crash-stop)
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6. **BUGGIFY-style injection** — Add probabilistic fault injection at protocol decision points
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7. **Study more codebases** — tikv/raft-rs test harness, al8n/memberlist (Rust port)
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### Open Questions
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- Should we add a re-join mechanism that fires automatically when a partition heals? (FoundationDB does this; standard SWIM doesn't)
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- Are the 3 pre-existing gossip MT test failures worth investigating? (convergence_curve_is_monotonic_mt, all_nodes_receive_all_keys_in_ring_1000_mt, partition_heals_and_converges_mt)
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- How to model clock skew in a tick-based simulation?
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### Blockers
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- None currently
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