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Batch completer + additional completer test suite and benchmarks
Here, add a new completer using a completion strategy designed to be much faster than what we're doing right now. Rather than blindly throwing completion work into goroutine slots, it accumulates "batches" of completions to be carried out, and using a debounced channel to fire periodically (currently, up to every 100 milliseconds) and submit entire batches for completion at once up to 2,000 jobs. For the purposes of not grossly expanding the `riverdriver` interface, the completer only batches jobs being set to `completed`, which under most normal workloads we expect to be the vast common case. Jobs going to other states are fed into a member `AsyncCompleter`, thereby allowing the `BatchCompleter` to keeps implementation quite simple. According to in-package benchmarking, the new completer is in the range of 3-5x faster than `AsyncCompleter` (the one currently in use by River client), and 10-15x faster than `InlineCompleter`. $ go test -bench=. ./internal/jobcompleter goos: darwin goarch: arm64 pkg: github.com/riverqueue/river/internal/jobcompleter BenchmarkAsyncCompleter_Concurrency10/Completion-8 10851 112318 ns/op BenchmarkAsyncCompleter_Concurrency10/RotatingStates-8 11386 120706 ns/op BenchmarkAsyncCompleter_Concurrency100/Completion-8 9763 116773 ns/op BenchmarkAsyncCompleter_Concurrency100/RotatingStates-8 10884 115718 ns/op BenchmarkBatchCompleter/Completion-8 54916 27314 ns/op BenchmarkBatchCompleter/RotatingStates-8 11518 100997 ns/op BenchmarkInlineCompleter/Completion-8 4656 369281 ns/op BenchmarkInlineCompleter/RotatingStates-8 1561 794136 ns/op PASS ok github.com/riverqueue/river/internal/jobcompleter 21.123s Along with the new completer, we also add a vastly more thorough test suite to help tease out race conditions and test edges that were previously being ignored completely. For most cases we drop the heavy mocking that was happening before, which was having the effect of minimizing the surface area under test, and producing misleading timing that wasn't realistic. Similarly, we bring in a new benchmark framework to allow us to easily vet and compare completer implementations relative to each other. The expectation is that this will act as a more synthetic proxy, with the new benchmarking tool in #254 providing a more realistic end-to-end measurement.
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