robustmq-chaos-test
Testing & Quality7×24 chaos testing for RobustMQ. Injects broker-kill and network-delay faults, validates SDK client resilience across Python/Go/Rust/Java, and publishes a Markdown + JSON report to GitHub after each run.
How to use this skill
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RobustMQ Chaos Test Skill
When to Use
Cron trigger (every 4 hours): the system message will say
"按 P0 跑一轮 RobustMQ 故障场景"
Manual CLI: user says something like
"帮我跑一轮 RobustMQ chaos 测试" / "run a chaos test round"
In both cases execute the Full Run below.
If the user says "按 P1 跑一轮" or names a specific scenario, execute the Single Scenario flow for that scenario only.
Pre-check
Before starting any run:
- Call
cluster_manage(action=status).- If
statusis NOTstopped, callcluster_manage(action=stop)to clear any leftover state from a previous run.
- If
- Verify
chaos-test/config.ymlhascluster.binaryandcluster.project_rootfilled in correctly (the cluster tool fails fast if binary is missing — surface that error immediately and stop).
Scenario Catalogue
| Scenario name | fault_type | target | params | Core? |
|---|---|---|---|---|
| broker-kill-single | broker-kill | robustmq-server | — | ✅ |
| network-delay-100ms | network-delay | eth0 | delay_ms=100, jitter_ms=10 | — |
| leader-transfer | broker-kill | robustmq-server | — | ✅ |
Note: Update this table when new scenarios are added. Target names and interface names depend on the deployment environment — verify before running.
Core scenarios: broker-kill-single, leader-transfer. Run passed = all core pass AND non-core pass rate ≥ 75%.
Single Scenario — 5-Step Flow
Execute these steps sequentially. Do NOT skip steps.
Step 1 — Baseline Snapshot
observability(action=snapshot, data_dirs=<from cluster start>)
Record the snapshot as baseline. Proceed even if some metrics are unavailable;
log a warning but do not abort.
Step 2 — Inject Fault
chaos(action=inject, fault_type=<type>, target=<target>, params=<params>)
Save the returned fault_id. If inject returns an error, mark the scenario
passed=False with status=inject_error and skip to Step 5 (skip recover).
Step 3 — Fault-Period SDK Observation (record only)
client(action=run, scenario=<scenario>, cluster_endpoint=<endpoint>)
Record all results. Do NOT use these results to determine pass/fail. Their only purpose is observability — they show what clients experienced during the fault. A high loss rate here is expected and normal.
Step 4 — Recover
chaos(action=recover, fault_id=<fault_id>)
If recover returns an error, log it and continue — attempt self-healing validation anyway.
Step 5 — Self-Healing Validation (sole pass/fail basis)
Wait 60 seconds after recovery, then run:
client(action=run, scenario=<scenario>, cluster_endpoint=<endpoint>)
Pass criteria (ALL must hold):
exit_code == 0lost == 0p99_ms < 500
If any criterion fails → scenario passed=False.
If status=script_format_error → scenario passed=False, note the format error
separately (this is a test-infrastructure issue, not a RobustMQ bug).
Full Run Flow
- Pre-check (see above).
- Start cluster:
cluster_manage(action=start)→ saveendpointanddata_dirs. - Run each scenario using the Single Scenario flow.
- Run scenarios sequentially (not in parallel) to avoid interference.
- If a scenario crashes the cluster (all brokers dead), restart it before
continuing:
cluster_manage(action=stop)→cluster_manage(action=start).
- Stop cluster:
cluster_manage(action=stop). - Generate report:
report(action=generate_and_push, run_data={...}).run_datamust include:run_id,started_at,finished_at,scenarios.- Each scenario entry: scenario name, sdk, passed, sent, received, lost, p99_ms, duration_seconds, errors, status.
- Send Feishu notification:
- If
run_passed=True: send brief pass message withgithub_url. - If
run_passed=False: send failure alert listing failed scenarios andgithub_url. - If
consecutive_failures >= 3: prepend🚨 连续 {n} 轮失败,请人工介入.
- If
Circuit Breaker
Track consecutive_failures across runs (persist in your memory or state):
- Increment on
run_passed=False. - Reset to 0 on
run_passed=True. - If
consecutive_failures >= 3: send an urgent Feishu alert and pause the cron schedule. Do NOT continue running automatically until a human acknowledges and resets the counter.
Feishu Message Templates
Pass:
✅ RobustMQ 故障测试通过
Run ID: {run_id} 时间: {finished_at}
核心场景: 全部通过 总通过率: {pass_rate}%
报告: {github_url}
Fail:
❌ RobustMQ 故障测试失败
Run ID: {run_id} 时间: {finished_at}
失败场景: {failed_scenario_list}
报告: {github_url}
Circuit breaker:
🚨 连续 {consecutive_failures} 轮失败,请人工介入
最后失败: {run_id} {finished_at}
报告: {github_url}
Pitfalls
- Never judge pass/fail on fault-period results (Step 3). Only Step 5 post-recovery validation counts.
script_format_error≠ RobustMQ bug. Report it separately; do not inflate the failure count. Fix the script first.- ROBUSTMQ_HOME must be set before any run. The cluster tool returns an error immediately if it is not — surface it and stop rather than retrying.
- Consecutive failures count whole runs, not individual scenarios. One run with two failed scenarios = 1 failure, not 2.
- eth0 is not universal. The network-delay target interface name varies by host. Verify it before running in a new environment.
- Deploy Key permissions. If
reportreturnspush_error, the reports are still written locally atjson_path/markdown_path. Investigate the key before declaring the run lost. - 60-second wait is mandatory. Do not skip or shorten it — RobustMQ leader election and connection re-establishment take time.