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-rw-r--r--benchmarks/suites/BUILD130
-rw-r--r--benchmarks/suites/__init__.py119
-rw-r--r--benchmarks/suites/absl.py37
-rw-r--r--benchmarks/suites/density.py121
-rw-r--r--benchmarks/suites/fio.py165
-rw-r--r--benchmarks/suites/helpers.py57
-rw-r--r--benchmarks/suites/http.py138
-rw-r--r--benchmarks/suites/media.py42
-rw-r--r--benchmarks/suites/ml.py33
-rw-r--r--benchmarks/suites/network.py101
-rw-r--r--benchmarks/suites/redis.py46
-rw-r--r--benchmarks/suites/startup.py110
-rw-r--r--benchmarks/suites/sysbench.py119
-rw-r--r--benchmarks/suites/syscall.py37
14 files changed, 0 insertions, 1255 deletions
diff --git a/benchmarks/suites/BUILD b/benchmarks/suites/BUILD
deleted file mode 100644
index 04fc23261..000000000
--- a/benchmarks/suites/BUILD
+++ /dev/null
@@ -1,130 +0,0 @@
-package(
- default_visibility = ["//benchmarks:__subpackages__"],
- licenses = ["notice"],
-)
-
-py_library(
- name = "suites",
- srcs = ["__init__.py"],
-)
-
-py_library(
- name = "absl",
- srcs = ["absl.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/workloads/absl",
- ],
-)
-
-py_library(
- name = "density",
- srcs = ["density.py"],
- deps = [
- "//benchmarks/harness:container",
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/suites:helpers",
- ],
-)
-
-py_library(
- name = "fio",
- srcs = ["fio.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/suites:helpers",
- "//benchmarks/workloads/fio",
- ],
-)
-
-py_library(
- name = "helpers",
- srcs = ["helpers.py"],
- deps = ["//benchmarks/harness:machine"],
-)
-
-py_library(
- name = "http",
- srcs = ["http.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/workloads/ab",
- ],
-)
-
-py_library(
- name = "media",
- srcs = ["media.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/suites:helpers",
- "//benchmarks/workloads/ffmpeg",
- ],
-)
-
-py_library(
- name = "ml",
- srcs = ["ml.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/suites:startup",
- "//benchmarks/workloads/tensorflow",
- ],
-)
-
-py_library(
- name = "network",
- srcs = ["network.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/suites:helpers",
- "//benchmarks/workloads/iperf",
- ],
-)
-
-py_library(
- name = "redis",
- srcs = ["redis.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/workloads/redisbenchmark",
- ],
-)
-
-py_library(
- name = "startup",
- srcs = ["startup.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/suites:helpers",
- ],
-)
-
-py_library(
- name = "sysbench",
- srcs = ["sysbench.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/workloads/sysbench",
- ],
-)
-
-py_library(
- name = "syscall",
- srcs = ["syscall.py"],
- deps = [
- "//benchmarks/harness:machine",
- "//benchmarks/suites",
- "//benchmarks/workloads/syscall",
- ],
-)
diff --git a/benchmarks/suites/__init__.py b/benchmarks/suites/__init__.py
deleted file mode 100644
index 360736cc3..000000000
--- a/benchmarks/suites/__init__.py
+++ /dev/null
@@ -1,119 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Core benchmark annotations."""
-
-import functools
-import inspect
-import types
-from typing import List
-from typing import Tuple
-
-BENCHMARK_METRICS = '__benchmark_metrics__'
-BENCHMARK_MACHINES = '__benchmark_machines__'
-
-
-def is_benchmark(func: types.FunctionType) -> bool:
- """Returns true if the given function is a benchmark."""
- return isinstance(func, types.FunctionType) and \
- hasattr(func, BENCHMARK_METRICS) and \
- hasattr(func, BENCHMARK_MACHINES)
-
-
-def benchmark_metrics(func: types.FunctionType) -> List[Tuple[str, str]]:
- """Returns the list of available metrics."""
- return [(metric.__name__, metric.__doc__)
- for metric in getattr(func, BENCHMARK_METRICS)]
-
-
-def benchmark_machines(func: types.FunctionType) -> int:
- """Returns the number of machines required."""
- return getattr(func, BENCHMARK_MACHINES)
-
-
-# pylint: disable=unused-argument
-def default(value, **kwargs):
- """Returns the passed value."""
- return value
-
-
-def benchmark(metrics: List[types.FunctionType] = None,
- machines: int = 1) -> types.FunctionType:
- """Define a benchmark function with metrics.
-
- Args:
- metrics: A list of metric functions.
- machines: The number of machines required.
-
- Returns:
- A function that accepts the given number of machines, and iteratively
- returns a set of (metric_name, metric_value) pairs when called repeatedly.
- """
- if not metrics:
- # The default passes through.
- metrics = [default]
-
- def decorator(func: types.FunctionType) -> types.FunctionType:
- """Decorator function."""
- # Every benchmark should accept at least two parameters:
- # runtime: The runtime to use for the benchmark (str, required).
- # metrics: The metrics to use, if not the default (str, optional).
- @functools.wraps(func)
- def wrapper(*args, runtime: str, metric: list = None, **kwargs):
- """Wrapper function."""
- # First -- ensure that we marshall all types appropriately. In
- # general, we will call this with only strings. These strings will
- # need to be converted to their underlying types/classes.
- sig = inspect.signature(func)
- for param in sig.parameters.values():
- if param.annotation != inspect.Parameter.empty and \
- param.name in kwargs and not isinstance(kwargs[param.name], param.annotation):
- try:
- # Marshall to the appropriate type.
- kwargs[param.name] = param.annotation(kwargs[param.name])
- except Exception as exc:
- raise ValueError(
- 'illegal type for %s(%s=%s): %s' %
- (func.__name__, param.name, kwargs[param.name], exc))
- elif param.default != inspect.Parameter.empty and \
- param.name not in kwargs:
- # Ensure that we have the value set, because it will
- # be passed to the metric function for evaluation.
- kwargs[param.name] = param.default
-
- # Next, figure out how to apply a metric. We do this prior to
- # running the underlying function to prevent having to wait a few
- # minutes for a result just to see some error.
- if not metric:
- # Return all metrics in the iterator.
- result = func(*args, runtime=runtime, **kwargs)
- for metric_func in metrics:
- yield (metric_func.__name__, metric_func(result, **kwargs))
- else:
- result = None
- for single_metric in metric:
- for metric_func in metrics:
- # Is this a function that matches the name?
- # Apply this function to the result.
- if metric_func.__name__ == single_metric:
- if not result:
- # Lazy evaluation: only if metric matches.
- result = func(*args, runtime=runtime, **kwargs)
- yield single_metric, metric_func(result, **kwargs)
-
- # Set metadata on the benchmark (used above).
- setattr(wrapper, BENCHMARK_METRICS, metrics)
- setattr(wrapper, BENCHMARK_MACHINES, machines)
- return wrapper
-
- return decorator
diff --git a/benchmarks/suites/absl.py b/benchmarks/suites/absl.py
deleted file mode 100644
index 5d9b57a09..000000000
--- a/benchmarks/suites/absl.py
+++ /dev/null
@@ -1,37 +0,0 @@
-# python3
-# Copyright 2019 The gVisor Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""absl build benchmark."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.workloads import absl
-
-
-@suites.benchmark(metrics=[absl.elapsed_time], machines=1)
-def build(target: machine.Machine, **kwargs) -> str:
- """Runs the absl workload and report the absl build time.
-
- Runs the 'bazel build //absl/...' in a clean bazel directory and
- monitors time elapsed.
-
- Args:
- target: A machine object.
- **kwargs: Additional container options.
-
- Returns:
- Container output.
- """
- image = target.pull("absl")
- return target.container(image, **kwargs).run()
diff --git a/benchmarks/suites/density.py b/benchmarks/suites/density.py
deleted file mode 100644
index 89d29fb26..000000000
--- a/benchmarks/suites/density.py
+++ /dev/null
@@ -1,121 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Density tests."""
-
-import re
-import types
-
-from benchmarks import suites
-from benchmarks.harness import container
-from benchmarks.harness import machine
-from benchmarks.suites import helpers
-
-
-# pylint: disable=unused-argument
-def memory_usage(value, **kwargs):
- """Returns the passed value."""
- return value
-
-
-def density(target: machine.Machine,
- workload: str,
- count: int = 50,
- wait: float = 0,
- load_func: types.FunctionType = None,
- **kwargs):
- """Calculate the average memory usage per container.
-
- Args:
- target: A machine object.
- workload: The workload to run.
- count: The number of containers to start.
- wait: The time to wait after starting.
- load_func: Callback that is called after count images have been started on
- the given machine.
- **kwargs: Additional container options.
-
- Returns:
- The average usage in Kb per container.
- """
- count = int(count)
-
- # Drop all caches.
- helpers.drop_caches(target)
- before = target.read("/proc/meminfo")
-
- # Load the workload.
- image = target.pull(workload)
-
- with target.container(
- image=image, count=count, **kwargs).detach() as containers:
- # Call the optional load function callback if given.
- if load_func:
- load_func(target, containers)
- # Wait 'wait' time before taking a measurement.
- target.sleep(wait)
-
- # Drop caches again.
- helpers.drop_caches(target)
- after = target.read("/proc/meminfo")
-
- # Calculate the memory used.
- available_re = re.compile(r"MemAvailable:\s*(\d+)\skB\n")
- before_available = available_re.findall(before)
- after_available = available_re.findall(after)
- return 1024 * float(int(before_available[0]) -
- int(after_available[0])) / float(count)
-
-
-def load_redis(target: machine.Machine, containers: container.Container):
- """Use redis-benchmark "LPUSH" to load each container with 1G of data.
-
- Args:
- target: A machine object.
- containers: A set of containers.
- """
- target.pull("redisbenchmark")
- for name in containers.get_names():
- flags = "-d 10000 -t LPUSH"
- target.container(
- "redisbenchmark", links={
- name: name
- }).run(
- host=name, flags=flags)
-
-
-@suites.benchmark(metrics=[memory_usage], machines=1)
-def empty(target: machine.Machine, **kwargs) -> float:
- """Run trivial containers in a density test."""
- return density(target, workload="sleep", wait=1.0, **kwargs)
-
-
-@suites.benchmark(metrics=[memory_usage], machines=1)
-def node(target: machine.Machine, **kwargs) -> float:
- """Run node containers in a density test."""
- return density(target, workload="node", wait=3.0, **kwargs)
-
-
-@suites.benchmark(metrics=[memory_usage], machines=1)
-def ruby(target: machine.Machine, **kwargs) -> float:
- """Run ruby containers in a density test."""
- return density(target, workload="ruby", wait=3.0, **kwargs)
-
-
-@suites.benchmark(metrics=[memory_usage], machines=1)
-def redis(target: machine.Machine, **kwargs) -> float:
- """Run redis containers in a density test."""
- if "count" not in kwargs:
- kwargs["count"] = 5
- return density(
- target, workload="redis", wait=3.0, load_func=load_redis, **kwargs)
diff --git a/benchmarks/suites/fio.py b/benchmarks/suites/fio.py
deleted file mode 100644
index 2171790c5..000000000
--- a/benchmarks/suites/fio.py
+++ /dev/null
@@ -1,165 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""File I/O tests."""
-
-import os
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.suites import helpers
-from benchmarks.workloads import fio
-
-
-# pylint: disable=too-many-arguments
-# pylint: disable=too-many-locals
-def run_fio(target: machine.Machine,
- test: str,
- ioengine: str = "sync",
- size: int = 1024 * 1024 * 1024,
- iodepth: int = 4,
- blocksize: int = 1024 * 1024,
- time: int = -1,
- mount_dir: str = "",
- filename: str = "file.dat",
- tmpfs: bool = False,
- ramp_time: int = 0,
- **kwargs) -> str:
- """FIO benchmarks.
-
- For more on fio see:
- https://media.readthedocs.org/pdf/fio/latest/fio.pdf
-
- Args:
- target: A machine object.
- test: The test to run (read, write, randread, randwrite, etc.)
- ioengine: The engine for I/O.
- size: The size of the generated file in bytes (if an integer) or 5g, 16k,
- etc.
- iodepth: The I/O for certain engines.
- blocksize: The blocksize for reads and writes in bytes (if an integer) or
- 4k, etc.
- time: If test is time based, how long to run in seconds.
- mount_dir: The absolute path on the host to mount a bind mount.
- filename: The name of the file to creat inside container. For a path of
- /dir/dir/file, the script setup a volume like 'docker run -v
- mount_dir:/dir/dir fio' and fio will create (and delete) the file
- /dir/dir/file. If tmpfs is set, this /dir/dir will be a tmpfs.
- tmpfs: If true, mount on tmpfs.
- ramp_time: The time to run before recording statistics
- **kwargs: Additional container options.
-
- Returns:
- The output of fio as a string.
- """
- # Pull the image before dropping caches.
- image = target.pull("fio")
-
- if not mount_dir:
- stdout, _ = target.run("pwd")
- mount_dir = stdout.rstrip()
-
- # Setup the volumes.
- volumes = {mount_dir: {"bind": "/disk", "mode": "rw"}} if not tmpfs else None
- tmpfs = {"/disk": ""} if tmpfs else None
-
- # Construct a file in the volume.
- filepath = os.path.join("/disk", filename)
-
- # If we are running a read test, us fio to write a file and then flush file
- # data from memory.
- if "read" in test:
- target.container(
- image, volumes=volumes, tmpfs=tmpfs, **kwargs).run(
- test="write",
- ioengine="sync",
- size=size,
- iodepth=iodepth,
- blocksize=blocksize,
- path=filepath)
- helpers.drop_caches(target)
-
- # Run the test.
- time_str = "--time_base --runtime={time}".format(
- time=time) if int(time) > 0 else ""
- res = target.container(
- image, volumes=volumes, tmpfs=tmpfs, **kwargs).run(
- test=test,
- ioengine=ioengine,
- size=size,
- iodepth=iodepth,
- blocksize=blocksize,
- time=time_str,
- path=filepath,
- ramp_time=ramp_time)
-
- target.run(
- "rm {path}".format(path=os.path.join(mount_dir.rstrip(), filename)))
-
- return res
-
-
-@suites.benchmark(metrics=[fio.read_bandwidth, fio.read_io_ops], machines=1)
-def read(*args, **kwargs):
- """Read test.
-
- Args:
- *args: None.
- **kwargs: Additional container options.
-
- Returns:
- The output of fio.
- """
- return run_fio(*args, test="read", **kwargs)
-
-
-@suites.benchmark(metrics=[fio.read_bandwidth, fio.read_io_ops], machines=1)
-def randread(*args, **kwargs):
- """Random read test.
-
- Args:
- *args: None.
- **kwargs: Additional container options.
-
- Returns:
- The output of fio.
- """
- return run_fio(*args, test="randread", **kwargs)
-
-
-@suites.benchmark(metrics=[fio.write_bandwidth, fio.write_io_ops], machines=1)
-def write(*args, **kwargs):
- """Write test.
-
- Args:
- *args: None.
- **kwargs: Additional container options.
-
- Returns:
- The output of fio.
- """
- return run_fio(*args, test="write", **kwargs)
-
-
-@suites.benchmark(metrics=[fio.write_bandwidth, fio.write_io_ops], machines=1)
-def randwrite(*args, **kwargs):
- """Random write test.
-
- Args:
- *args: None.
- **kwargs: Additional container options.
-
- Returns:
- The output of fio.
- """
- return run_fio(*args, test="randwrite", **kwargs)
diff --git a/benchmarks/suites/helpers.py b/benchmarks/suites/helpers.py
deleted file mode 100644
index b3c7360ab..000000000
--- a/benchmarks/suites/helpers.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Benchmark helpers."""
-
-import datetime
-from benchmarks.harness import machine
-
-
-class Timer:
- """Helper to time runtime of some call.
-
- Usage:
-
- with Timer as t:
- # do something.
- t.get_time_in_seconds()
- """
-
- def __init__(self):
- self._start = datetime.datetime.now()
-
- def __enter__(self):
- self.start()
- return self
-
- def start(self):
- """Starts the timer."""
- self._start = datetime.datetime.now()
-
- def elapsed(self) -> float:
- """Returns the elapsed time in seconds."""
- return (datetime.datetime.now() - self._start).total_seconds()
-
- def __exit__(self, exception_type, exception_value, exception_traceback):
- pass
-
-
-def drop_caches(target: machine.Machine):
- """Drops caches on the machine.
-
- Args:
- target: A machine object.
- """
- target.run("sudo sync")
- target.run("sudo sysctl vm.drop_caches=3")
- target.run("sudo sysctl vm.drop_caches=3")
diff --git a/benchmarks/suites/http.py b/benchmarks/suites/http.py
deleted file mode 100644
index ea9024e43..000000000
--- a/benchmarks/suites/http.py
+++ /dev/null
@@ -1,138 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""HTTP benchmarks."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.workloads import ab
-
-
-# pylint: disable=too-many-arguments
-def http(server: machine.Machine,
- client: machine.Machine,
- workload: str,
- requests: int = 5000,
- connections: int = 10,
- port: int = 80,
- path: str = "notfound",
- **kwargs) -> str:
- """Run apachebench (ab) against an http server.
-
- Args:
- server: A machine object.
- client: A machine object.
- workload: The http-serving workload.
- requests: Number of requests to send the server. Default is 5000.
- connections: Number of concurent connections to use. Default is 10.
- port: The port to access in benchmarking.
- path: File to download, generally workload-specific.
- **kwargs: Additional container options.
-
- Returns:
- The full apachebench output.
- """
- # Pull the client & server.
- apachebench = client.pull("ab")
- netcat = client.pull("netcat")
- image = server.pull(workload)
-
- with server.container(image, port=port, **kwargs).detach() as container:
- (host, port) = container.address()
- # Wait for the server to come up.
- client.container(netcat).run(host=host, port=port)
- # Run the benchmark, no arguments.
- return client.container(apachebench).run(
- host=host,
- port=port,
- requests=requests,
- connections=connections,
- path=path)
-
-
-# pylint: disable=too-many-arguments
-# pylint: disable=too-many-locals
-def http_app(server: machine.Machine,
- client: machine.Machine,
- workload: str,
- requests: int = 5000,
- connections: int = 10,
- port: int = 80,
- path: str = "notfound",
- **kwargs) -> str:
- """Run apachebench (ab) against an http application.
-
- Args:
- server: A machine object.
- client: A machine object.
- workload: The http-serving workload.
- requests: Number of requests to send the server. Default is 5000.
- connections: Number of concurent connections to use. Default is 10.
- port: The port to use for benchmarking.
- path: File to download, generally workload-specific.
- **kwargs: Additional container options.
-
- Returns:
- The full apachebench output.
- """
- # Pull the client & server.
- apachebench = client.pull("ab")
- netcat = client.pull("netcat")
- server_netcat = server.pull("netcat")
- redis = server.pull("redis")
- image = server.pull(workload)
- redis_port = 6379
- redis_name = "redis_server"
-
- with server.container(redis, name=redis_name).detach():
- server.container(server_netcat, links={redis_name: redis_name})\
- .run(host=redis_name, port=redis_port)
- with server.container(image, port=port, links={redis_name: redis_name}, **kwargs)\
- .detach(host=redis_name) as container:
- (host, port) = container.address()
- # Wait for the server to come up.
- client.container(netcat).run(host=host, port=port)
- # Run the benchmark, no arguments.
- return client.container(apachebench).run(
- host=host,
- port=port,
- requests=requests,
- connections=connections,
- path=path)
-
-
-@suites.benchmark(metrics=[ab.transfer_rate, ab.latency], machines=2)
-def httpd(*args, **kwargs) -> str:
- """Apache2 benchmark."""
- return http(*args, workload="httpd", port=80, **kwargs)
-
-
-@suites.benchmark(
- metrics=[ab.transfer_rate, ab.latency, ab.requests_per_second], machines=2)
-def nginx(*args, **kwargs) -> str:
- """Nginx benchmark."""
- return http(*args, workload="nginx", port=80, **kwargs)
-
-
-@suites.benchmark(
- metrics=[ab.transfer_rate, ab.latency, ab.requests_per_second], machines=2)
-def node(*args, **kwargs) -> str:
- """Node benchmark."""
- return http_app(*args, workload="node_template", path="", port=8080, **kwargs)
-
-
-@suites.benchmark(
- metrics=[ab.transfer_rate, ab.latency, ab.requests_per_second], machines=2)
-def ruby(*args, **kwargs) -> str:
- """Ruby benchmark."""
- return http_app(*args, workload="ruby_template", path="", port=9292, **kwargs)
diff --git a/benchmarks/suites/media.py b/benchmarks/suites/media.py
deleted file mode 100644
index 9cbffdaa1..000000000
--- a/benchmarks/suites/media.py
+++ /dev/null
@@ -1,42 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Media processing benchmarks."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.suites import helpers
-from benchmarks.workloads import ffmpeg
-
-
-@suites.benchmark(metrics=[ffmpeg.run_time], machines=1)
-def transcode(target: machine.Machine, **kwargs) -> float:
- """Runs a video transcoding workload and times it.
-
- Args:
- target: A machine object.
- **kwargs: Additional container options.
-
- Returns:
- Total workload runtime.
- """
- # Load before timing.
- image = target.pull("ffmpeg")
-
- # Drop caches.
- helpers.drop_caches(target)
-
- # Time startup + transcoding.
- with helpers.Timer() as timer:
- target.container(image, **kwargs).run()
- return timer.elapsed()
diff --git a/benchmarks/suites/ml.py b/benchmarks/suites/ml.py
deleted file mode 100644
index a394d1f69..000000000
--- a/benchmarks/suites/ml.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Machine Learning tests."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.suites import startup
-from benchmarks.workloads import tensorflow
-
-
-@suites.benchmark(metrics=[tensorflow.run_time], machines=1)
-def train(target: machine.Machine, **kwargs):
- """Run the tensorflow benchmark and return the runtime in seconds of workload.
-
- Args:
- target: A machine object.
- **kwargs: Additional container options.
-
- Returns:
- The total runtime.
- """
- return startup.startup(target, workload="tensorflow", count=1, **kwargs)
diff --git a/benchmarks/suites/network.py b/benchmarks/suites/network.py
deleted file mode 100644
index f973cf3f1..000000000
--- a/benchmarks/suites/network.py
+++ /dev/null
@@ -1,101 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Network microbenchmarks."""
-
-from typing import Dict
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.suites import helpers
-from benchmarks.workloads import iperf
-
-
-def run_iperf(client: machine.Machine,
- server: machine.Machine,
- client_kwargs: Dict[str, str] = None,
- server_kwargs: Dict[str, str] = None) -> str:
- """Measure iperf performance.
-
- Args:
- client: A machine object.
- server: A machine object.
- client_kwargs: Additional client container options.
- server_kwargs: Additional server container options.
-
- Returns:
- The output of iperf.
- """
- if not client_kwargs:
- client_kwargs = dict()
- if not server_kwargs:
- server_kwargs = dict()
-
- # Pull images.
- netcat = client.pull("netcat")
- iperf_client_image = client.pull("iperf")
- iperf_server_image = server.pull("iperf")
-
- # Set this due to a bug in the kernel that resets connections.
- client.run("sudo /sbin/sysctl -w net.netfilter.nf_conntrack_tcp_be_liberal=1")
- server.run("sudo /sbin/sysctl -w net.netfilter.nf_conntrack_tcp_be_liberal=1")
-
- with server.container(
- iperf_server_image, port=5001, **server_kwargs).detach() as iperf_server:
- (host, port) = iperf_server.address()
- # Wait until the service is available.
- client.container(netcat).run(host=host, port=port)
- # Run a warm-up run.
- client.container(
- iperf_client_image, stderr=True, **client_kwargs).run(
- host=host, port=port)
- # Run the client with relevant arguments.
- res = client.container(iperf_client_image, stderr=True, **client_kwargs)\
- .run(host=host, port=port)
- helpers.drop_caches(client)
- return res
-
-
-@suites.benchmark(metrics=[iperf.bandwidth], machines=2)
-def upload(client: machine.Machine, server: machine.Machine, **kwargs) -> str:
- """Measure upload performance.
-
- Args:
- client: A machine object.
- server: A machine object.
- **kwargs: Client container options.
-
- Returns:
- The output of iperf.
- """
- if kwargs["runtime"] == "runc":
- kwargs["network_mode"] = "host"
- return run_iperf(client, server, client_kwargs=kwargs)
-
-
-@suites.benchmark(metrics=[iperf.bandwidth], machines=2)
-def download(client: machine.Machine, server: machine.Machine, **kwargs) -> str:
- """Measure download performance.
-
- Args:
- client: A machine object.
- server: A machine object.
- **kwargs: Server container options.
-
- Returns:
- The output of iperf.
- """
-
- client_kwargs = {"network_mode": "host"}
- return run_iperf(
- client, server, client_kwargs=client_kwargs, server_kwargs=kwargs)
diff --git a/benchmarks/suites/redis.py b/benchmarks/suites/redis.py
deleted file mode 100644
index b84dd073d..000000000
--- a/benchmarks/suites/redis.py
+++ /dev/null
@@ -1,46 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Redis benchmarks."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.workloads import redisbenchmark
-
-
-@suites.benchmark(metrics=list(redisbenchmark.METRICS.values()), machines=2)
-def redis(server: machine.Machine,
- client: machine.Machine,
- flags: str = "",
- **kwargs) -> str:
- """Run redis-benchmark on client pointing at server machine.
-
- Args:
- server: A machine object.
- client: A machine object.
- flags: Flags to pass redis-benchmark.
- **kwargs: Additional container options.
-
- Returns:
- Output from redis-benchmark.
- """
- redis_server = server.pull("redis")
- redis_client = client.pull("redisbenchmark")
- netcat = client.pull("netcat")
- with server.container(
- redis_server, port=6379, **kwargs).detach() as container:
- (host, port) = container.address()
- # Wait for the container to be up.
- client.container(netcat).run(host=host, port=port)
- # Run all redis benchmarks.
- return client.container(redis_client).run(host=host, port=port, flags=flags)
diff --git a/benchmarks/suites/startup.py b/benchmarks/suites/startup.py
deleted file mode 100644
index a1b6c5753..000000000
--- a/benchmarks/suites/startup.py
+++ /dev/null
@@ -1,110 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Start-up benchmarks."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.suites import helpers
-
-
-# pylint: disable=unused-argument
-def startup_time_ms(value, **kwargs):
- """Returns average startup time per container in milliseconds.
-
- Args:
- value: The floating point time in seconds.
- **kwargs: Ignored.
-
- Returns:
- The time given in milliseconds.
- """
- return value * 1000
-
-
-def startup(target: machine.Machine,
- workload: str,
- count: int = 5,
- port: int = 0,
- **kwargs):
- """Time the startup of some workload.
-
- Args:
- target: A machine object.
- workload: The workload to run.
- count: Number of containers to start.
- port: The port to check for liveness, if provided.
- **kwargs: Additional container options.
-
- Returns:
- The mean start-up time in seconds.
- """
- # Load before timing.
- image = target.pull(workload)
- netcat = target.pull("netcat")
- count = int(count)
- port = int(port)
-
- with helpers.Timer() as timer:
- for _ in range(count):
- if not port:
- # Run the container synchronously.
- target.container(image, **kwargs).run()
- else:
- # Run a detached container until httpd available.
- with target.container(image, port=port, **kwargs).detach() as server:
- (server_host, server_port) = server.address()
- target.container(netcat).run(host=server_host, port=server_port)
- return timer.elapsed() / float(count)
-
-
-@suites.benchmark(metrics=[startup_time_ms], machines=1)
-def empty(target: machine.Machine, **kwargs) -> float:
- """Time the startup of a trivial container.
-
- Args:
- target: A machine object.
- **kwargs: Additional startup options.
-
- Returns:
- The time to run the container.
- """
- return startup(target, workload="true", **kwargs)
-
-
-@suites.benchmark(metrics=[startup_time_ms], machines=1)
-def node(target: machine.Machine, **kwargs) -> float:
- """Time the startup of the node container.
-
- Args:
- target: A machine object.
- **kwargs: Additional statup options.
-
- Returns:
- The time to run the container.
- """
- return startup(target, workload="node", port=8080, **kwargs)
-
-
-@suites.benchmark(metrics=[startup_time_ms], machines=1)
-def ruby(target: machine.Machine, **kwargs) -> float:
- """Time the startup of the ruby container.
-
- Args:
- target: A machine object.
- **kwargs: Additional startup options.
-
- Returns:
- The time to run the container.
- """
- return startup(target, workload="ruby", port=3000, **kwargs)
diff --git a/benchmarks/suites/sysbench.py b/benchmarks/suites/sysbench.py
deleted file mode 100644
index 2a6e2126c..000000000
--- a/benchmarks/suites/sysbench.py
+++ /dev/null
@@ -1,119 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Sysbench-based benchmarks."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.workloads import sysbench
-
-
-def run_sysbench(target: machine.Machine,
- test: str = "cpu",
- threads: int = 8,
- time: int = 5,
- options: str = "",
- **kwargs) -> str:
- """Run sysbench container with arguments.
-
- Args:
- target: A machine object.
- test: Relevant sysbench test to run (e.g. cpu, memory).
- threads: The number of threads to use for tests.
- time: The time to run tests.
- options: Additional sysbench options.
- **kwargs: Additional container options.
-
- Returns:
- The output of the command as a string.
- """
- image = target.pull("sysbench")
- return target.container(image, **kwargs).run(
- test=test, threads=threads, time=time, options=options)
-
-
-@suites.benchmark(metrics=[sysbench.cpu_events_per_second], machines=1)
-def cpu(target: machine.Machine, max_prime: int = 5000, **kwargs) -> str:
- """Run sysbench CPU test.
-
- Additional arguments can be provided for sysbench.
-
- Args:
- target: A machine object.
- max_prime: The maximum prime number to search.
- **kwargs:
- - threads: The number of threads to use for tests.
- - time: The time to run tests.
- - options: Additional sysbench options. See sysbench tool:
- https://github.com/akopytov/sysbench
-
- Returns:
- Sysbench output.
- """
- options = kwargs.pop("options", "")
- options += " --cpu-max-prime={}".format(max_prime)
- return run_sysbench(target, test="cpu", options=options, **kwargs)
-
-
-@suites.benchmark(metrics=[sysbench.memory_ops_per_second], machines=1)
-def memory(target: machine.Machine, **kwargs) -> str:
- """Run sysbench memory test.
-
- Additional arguments can be provided per sysbench.
-
- Args:
- target: A machine object.
- **kwargs:
- - threads: The number of threads to use for tests.
- - time: The time to run tests.
- - options: Additional sysbench options. See sysbench tool:
- https://github.com/akopytov/sysbench
-
- Returns:
- Sysbench output.
- """
- return run_sysbench(target, test="memory", **kwargs)
-
-
-@suites.benchmark(
- metrics=[
- sysbench.mutex_time, sysbench.mutex_latency, sysbench.mutex_deviation
- ],
- machines=1)
-def mutex(target: machine.Machine,
- locks: int = 4,
- count: int = 10000000,
- threads: int = 8,
- **kwargs) -> str:
- """Run sysbench mutex test.
-
- Additional arguments can be provided per sysbench.
-
- Args:
- target: A machine object.
- locks: The number of locks to use.
- count: The number of mutexes.
- threads: The number of threads to use for tests.
- **kwargs:
- - time: The time to run tests.
- - options: Additional sysbench options. See sysbench tool:
- https://github.com/akopytov/sysbench
-
- Returns:
- Sysbench output.
- """
- options = kwargs.pop("options", "")
- options += " --mutex-loops=1 --mutex-locks={} --mutex-num={}".format(
- count, locks)
- return run_sysbench(
- target, test="mutex", options=options, threads=threads, **kwargs)
diff --git a/benchmarks/suites/syscall.py b/benchmarks/suites/syscall.py
deleted file mode 100644
index fa7665b00..000000000
--- a/benchmarks/suites/syscall.py
+++ /dev/null
@@ -1,37 +0,0 @@
-# python3
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Syscall microbenchmark."""
-
-from benchmarks import suites
-from benchmarks.harness import machine
-from benchmarks.workloads.syscall import syscall_time_ns
-
-
-@suites.benchmark(metrics=[syscall_time_ns], machines=1)
-def syscall(target: machine.Machine, count: int = 1000000, **kwargs) -> str:
- """Runs the syscall workload and report the syscall time.
-
- Runs the syscall 'SYS_gettimeofday(0,0)' 'count' times and monitors time
- elapsed based on the runtime's MONOTONIC clock.
-
- Args:
- target: A machine object.
- count: The number of syscalls to execute.
- **kwargs: Additional container options.
-
- Returns:
- Container output.
- """
- image = target.pull("syscall")
- return target.container(image, **kwargs).run(count=count)