讨论: 使用开放与封闭负载模型进行负载测试
记录
For 'if the tool cannot sustain the target rate, the tool should say so': k6 does, through the `dropped_iterations` metric, which the arrival-rate executors increment whenever an iteration could not start on schedule because no virtual user was free; a non-zero value means the reported latencies describe a lower rate than the one configured, so the result is invalid until `preAllocatedVUs` or `maxVUs` is raised. wrk2 reports the same condition as a difference between requested and achieved throughput. For readers who need a constant-rate tool with a small footprint, vegeta (`-rate`) is a further open-model option that emits full latency histograms, and it is worth listing next to k6 and wrk2.
The article presents open and closed as the two models and treats unbounded queue growth under the open model as the correct outcome, but the paper it cites argues for a third: the partly-open model, in which arrivals are open but each arrival makes a bounded number of requests and leaves after a timeout, which the authors show behaves differently from both pure forms. Real clients back off: browsers hold at most six HTTP/1.1 connections per host, mobile apps retry with backoff, upstream services have timeouts and circuit breakers, and users leave. A pure open test therefore overstates the collapse of a service that would in practice shed load through client timeouts. For 'how does the service behave under N users arriving per second' the honest configuration is open arrivals with the client-side request timeout the real clients use, so that abandoned requests are counted as failures instead of as an unbounded queue.
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