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Etienne PerotandgVisor bot
e0844201e4
The first step to optimizing something is to measure it. This creates a `secbench` library which can benchmark the time it takes to run an application "Profile", which is a weighted-random set of syscall sequences, under a given `seccomp-bpf` filter. The `secbench` library runs two subprocesses which run the same set of system calls using this application profile. One of the subprocesses runs with the seccomp-bpf filter, and the other one runs without it. The library computes the difference, and reports this duration as the time it takes to run the seccomp-bpf filter for that system call. It also reports the overall time it takes to run the weighted-random set of system calls, useful as a general measure of the overhead that the application will see. PiperOrigin-RevId: 567704927
19 lines
456 B
Python
19 lines
456 B
Python
"""Defines secbench_test, a wrapper over go_test for secbench benchmarks."""
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load("//tools:defs.bzl", "go_test")
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def secbench_test(**kwargs):
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"""Wrapper over go_test useful for secbench benchmarks.
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Args:
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**kwargs: Same as go_test arguments.
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"""
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kwargs["tags"] = kwargs.get("tags", []) + [
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"local",
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"manual",
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"secbench",
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]
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kwargs["static"] = True
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kwargs["timeout"] = "long"
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go_test(**kwargs)
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