#!/usr/bin/env fbpython # Copyright (c) Meta Platforms, Inc. and affiliates. # # 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. from __future__ import annotations import timeit import click from tabulate import tabulate NAMESPACES = { "py-deprecated": "ttypes", "py3": "types", "python": "thrift_types", } table = [] INIT_STATEMENT_MyStruct = """ inst = MyStruct( val_bool=True, val_i32=42, val_i64=64, val_string="hello world", val_binary=b"hello world", val_list={val_list}, val_set={val_set}, val_map={val_map}, ) """ def get_import(flavor) -> str: return ( f"from thrift.benchmark.struct.{NAMESPACES[flavor]} import MyStruct, Included" ) REPEAT = 10000 LOOP = 1 def benchmark_import(): def benchmark_single(namespace) -> float: timer = timeit.Timer( stmt="importlib.reload(mm)", setup=f"import thrift.benchmark.struct.{namespace} as mm\nimport importlib", ) results = timer.repeat(REPEAT, 1) min_value_ms = min(results) * 1000 return f"{min_value_ms:.6f} ms" table = [ [name, benchmark_single(namespace)] for name, namespace in NAMESPACES.items() ] print( tabulate( table, headers=["Import", ""], tablefmt="github", ) ) def benchmark_init(init_statement: str, desc: str): def benchmark_single(flavor) -> float: timer = timeit.Timer(stmt=init_statement, setup=get_import(flavor)) results = timer.repeat(REPEAT, 1) min_value_ms = min(results) * 1000 return f"{min_value_ms:.6f} ms" table = [[flavor, benchmark_single(flavor)] for flavor in NAMESPACES] print( tabulate( table, headers=[f"Init ({desc})", ""], tablefmt="github", ) ) def benchmark_field_access(): def benchmark_single(flavor, field_name, cached) -> float: access = f"_ = inst.{field_name}" val_list = list(range(100)) val_set = set(range(100)) init_statement = INIT_STATEMENT_MyStruct.format( val_list=val_list, val_set=val_set, val_map={} ) setup = f"{get_import(flavor)}; {init_statement}" if cached: setup = f"{setup}\n{access}" timer = timeit.Timer( stmt=access, setup=setup, ) results = timer.repeat(REPEAT, LOOP) min_value_ms = min(results) * 1000 / LOOP return f"{min_value_ms:.6f} ms" fields = [ "val_bool", "val_i32", "val_i64", "val_string", "val_binary", ] table = [ [flavor] + [ benchmark_single( flavor, field, False, ) for field in fields ] for flavor in NAMESPACES ] print( tabulate( table, headers=["Field Access (First/Uncached)"] + fields, tablefmt="github", ) ) print("\n") table = [ [flavor] + [ benchmark_single( flavor, field, True, ) for field in fields ] for flavor in NAMESPACES ] print( tabulate( table, headers=["Field Access (Repeated/Cached)"] + fields, tablefmt="github", ) ) def benchmark_containers(): INIT_FOR_CONTAINER = """ val_map = { i: f"str_{i}" for i in range(100) } val_map_structs = { i: Included() for i in range(100) } val_map_structs[50] = Included(vals=[f"str_{i}" for i in range(100)]) inst = MyStruct( val_list=list(range(100)), val_set=set(range(100)), val_map=val_map, val_map_structs=val_map_structs, ) """ def benchmark_single(flavor, st, cached) -> float: setup = f"{get_import(flavor)}; {INIT_FOR_CONTAINER}" if cached: setup = f"{setup}\n{st}" timer = timeit.Timer( stmt=st, setup=setup, ) results = timer.repeat(REPEAT, LOOP) min_value_ms = min(results) * 1000 / LOOP return f"{min_value_ms:.6f} ms" fields = { "list field": "_ = inst.val_list[50]", "set field": "_ = 50 in inst.val_set", "map field": "_ = inst.val_map[50]", "map struct list field": "_ = inst.val_map_structs[50].vals[50]", } table = [ [flavor] + [ benchmark_single( flavor, st, False, ) for st in fields.values() ] for flavor in NAMESPACES ] print( tabulate( table, headers=["Container Field Access (First/Uncached)"] + list(fields.keys()), tablefmt="github", ) ) print("\n") table = [ [flavor] + [ benchmark_single( flavor, st, True, ) for st in fields.values() ] for flavor in NAMESPACES ] print( tabulate( table, headers=["Container Field Access (Repeated/Cached)"] + list(fields.keys()), tablefmt="github", ) ) SERIALIZER_IMPORT = { "py-deprecated": """ from thrift.util.Serializer import deserialize as d, serialize as s from thrift.protocol.TCompactProtocol import TCompactProtocolFactory def serialize(inst): return s( TCompactProtocolFactory(), inst, ) def deserialize(klass, bytes): return d( TCompactProtocolFactory(), bytes, klass() ) """, "py3": """ from thrift.py3.serializer import deserialize, serialize """, "python": """ from thrift.python.serializer import deserialize, serialize """, } def get_serialize_setup(flavor: str) -> str: val_list = list(range(100)) val_set = set(range(100)) init_statement = INIT_STATEMENT_MyStruct.format( val_list=val_list, val_set=val_set, val_map={} ) return f"{get_import(flavor)}\n{init_statement}\n{SERIALIZER_IMPORT[flavor]}" def get_deserialize_setup(flavor: str) -> str: return f"{get_serialize_setup(flavor)}\nserialized = serialize(inst)" def benchmark_serializer(): def benchmark_serialize(flavor: str) -> float: timer = timeit.Timer( setup=get_serialize_setup(flavor), stmt="_ = serialize(inst)", ) results = timer.repeat(REPEAT, 1) min_value_ms = min(results) * 1000 return f"{min_value_ms:.6f} ms" def benchmark_deserialize(flavor: str) -> float: timer = timeit.Timer( setup=get_deserialize_setup(flavor), stmt="_ = deserialize(MyStruct, serialized)", ) results = timer.repeat(REPEAT, 1) min_value_ms = min(results) * 1000 return f"{min_value_ms:.6f} ms" table = [ [ flavor, benchmark_serialize( flavor, ), benchmark_deserialize( flavor, ), ] for flavor in NAMESPACES ] print( tabulate( table, headers=["Serializer", "serialize", "deserialize"], tablefmt="github", ) ) @click.group() def cli(): pass @click.command() def import_benchmark() -> None: benchmark_import() @click.command() def init_benchmark() -> None: for size in [1, 100, 1000]: val_list = list(range(size)) val_set = set(range(size)) init_statement = INIT_STATEMENT_MyStruct.format( val_list=val_list, val_set=val_set, val_map={} ) benchmark_init( init_statement, f"MyStruct with {size} elements for set and list" ) print("\n") for size in [1, 100, 1000]: val_map = {i: f"str_{i}" for i in range(size)} init_statement = INIT_STATEMENT_MyStruct.format( val_list=[], val_set=[], val_map=val_map ) benchmark_init(init_statement, f"MyStruct with {size} elements for map") print("\n") @click.command() def field_access_benchmark() -> None: benchmark_field_access() @click.command() def container_benchmark() -> None: benchmark_containers() @click.command() def serializer_benchmark() -> None: benchmark_serializer() @click.command() @click.pass_context def run_all(ctx) -> None: ctx.invoke(import_benchmark) print("\n") ctx.invoke(init_benchmark) print("\n") ctx.invoke(field_access_benchmark) print("\n") ctx.invoke(container_benchmark) print("\n") ctx.invoke(serializer_benchmark) def main() -> None: cli.add_command(run_all) cli.add_command(import_benchmark) cli.add_command(init_benchmark) cli.add_command(field_access_benchmark) cli.add_command(container_benchmark) cli.add_command(serializer_benchmark) cli() if __name__ == "__main__": main() # pragma: no cover