mirror of
https://github.com/tahoe-lafs/tahoe-lafs.git
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139 lines
4.0 KiB
Python
139 lines
4.0 KiB
Python
"""
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First attempt at benchmarking uploads and downloads.
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To run:
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$ pytest benchmarks/upload_download.py -s -v -Wignore
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To add latency of e.g. 60ms on Linux:
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$ tc qdisc add dev lo root netem delay 30ms
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To reset:
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$ tc qdisc del dev lo root netem
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Frequency scaling can spoil the results.
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To see the range of frequency scaling on a Linux system:
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$ cat /sys/devices/system/cpu/cpu*/cpufreq/scaling_available_frequencies
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And to pin the CPU frequency to the lower bound found in these files:
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$ sudo cpupower frequency-set -f <lowest available frequency>
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TODO Parameterization (pytest?)
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- Foolscap vs not foolscap
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- Number of nodes
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- Data size
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- Number of needed/happy/total shares.
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CAVEATS: The goal here isn't a realistic benchmark, or a benchmark that will be
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measured over time, or is expected to be maintainable over time. This is just
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a quick and easy way to measure the speed of certain operations, compare HTTP
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and Foolscap, and see the short-term impact of changes.
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Eventually this will be replaced by a real benchmark suite that can be run over
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time to measure something more meaningful.
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"""
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from time import time, process_time
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from contextlib import contextmanager
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from tempfile import mkdtemp
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import os
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from twisted.trial.unittest import TestCase
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from twisted.internet.defer import gatherResults
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from allmydata.util.deferredutil import async_to_deferred
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from allmydata.util.consumer import MemoryConsumer
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from allmydata.test.common_system import SystemTestMixin
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from allmydata.immutable.upload import Data as UData
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from allmydata.mutable.publish import MutableData
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@contextmanager
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def timeit(name):
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start = time()
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start_cpu = process_time()
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try:
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yield
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finally:
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print(
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f"{name}: {time() - start:.3f} elapsed, {process_time() - start_cpu:.3f} CPU"
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)
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class ImmutableBenchmarks(SystemTestMixin, TestCase):
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"""Benchmarks for immutables."""
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# To use Foolscap, change to True:
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FORCE_FOOLSCAP_FOR_STORAGE = False
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# Don't reduce HTTP connection timeouts, that messes up the more aggressive
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# benchmarks:
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REDUCE_HTTP_CLIENT_TIMEOUT = False
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@async_to_deferred
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async def setUp(self):
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SystemTestMixin.setUp(self)
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self.basedir = os.path.join(mkdtemp(), "nodes")
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# 2 nodes
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await self.set_up_nodes(2)
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# 1 share
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for c in self.clients:
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c.encoding_params["k"] = 1
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c.encoding_params["happy"] = 1
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c.encoding_params["n"] = 1
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print()
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@async_to_deferred
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async def test_upload_and_download_immutable(self):
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# To test larger files, change this:
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DATA = b"Some data to upload\n" * 10
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for i in range(5):
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# 1. Upload:
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with timeit(" upload"):
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uploader = self.clients[0].getServiceNamed("uploader")
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results = await uploader.upload(UData(DATA, convergence=None))
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# 2. Download:
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with timeit("download"):
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uri = results.get_uri()
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node = self.clients[1].create_node_from_uri(uri)
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mc = await node.read(MemoryConsumer(), 0, None)
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self.assertEqual(b"".join(mc.chunks), DATA)
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@async_to_deferred
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async def test_upload_and_download_mutable(self):
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# To test larger files, change this:
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DATA = b"Some data to upload\n" * 10
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for i in range(5):
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# 1. Upload:
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with timeit(" upload"):
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result = await self.clients[0].create_mutable_file(MutableData(DATA))
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# 2. Download:
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with timeit("download"):
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data = await result.download_best_version()
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self.assertEqual(data, DATA)
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@async_to_deferred
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async def test_upload_mutable_in_parallel(self):
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# To test larger files, change this:
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DATA = b"Some data to upload\n" * 1_000_000
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with timeit(" upload"):
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await gatherResults([
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self.clients[0].create_mutable_file(MutableData(DATA))
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for _ in range(20)
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])
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