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177 lines
5.7 KiB
Python
177 lines
5.7 KiB
Python
# Copyright 2018 John Reese
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# Licensed under the MIT license
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"""
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Simple perf tests for aiosqlite and the asyncio run loop.
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"""
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import string
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import time
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import aiounittest
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import aiosqlite
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from .smoke import setup_logger
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TEST_DB = ":memory:"
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TARGET = 2.0
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RESULTS = {}
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def timed(fn, name=None):
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"""
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Decorator for perf testing a block of async code.
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Expects the wrapped function to return an async generator.
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The generator should do setup, then yield when ready to start perf testing.
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The decorator will then pump the generator repeatedly until the target
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time has been reached, then close the generator and print perf results.
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"""
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name = name or fn.__name__
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async def wrapper(*args, **kwargs):
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gen = fn(*args, **kwargs)
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await gen.asend(None)
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count = 0
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before = time.time()
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while True:
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count += 1
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value = time.time() - before < TARGET
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try:
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if value:
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await gen.asend(value)
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else:
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await gen.aclose()
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break
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except StopAsyncIteration:
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break
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except Exception as e:
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print(f"exception occurred: {e}")
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return
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duration = time.time() - before
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RESULTS[name] = (count, duration)
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return wrapper
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class PerfTest(aiounittest.AsyncTestCase):
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@classmethod
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def setUpClass(cls):
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print(f"Running perf tests for at least {TARGET:.1f}s each...")
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setup_logger()
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@classmethod
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def tearDownClass(cls):
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print(f"\n{'Perf Test':<25} Iterations Duration {'Rate':>11}")
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for name in sorted(RESULTS):
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count, duration = RESULTS[name]
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rate = count / duration
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name = name.replace("test_", "")
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print(f"{name:<25} {count:>10} {duration:>7.1f}s {rate:>9.1f}/s")
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@timed
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async def test_atomics(self):
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async with aiosqlite.connect(TEST_DB) as db:
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await db.execute("create table perf (i integer primary key asc, k integer)")
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await db.execute("insert into perf (k) values (2), (3)")
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await db.commit()
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while True:
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yield
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async with db.execute("select last_insert_rowid()") as cursor:
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_row_id = await cursor.fetchone()
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@timed
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async def test_inserts(self):
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async with aiosqlite.connect(TEST_DB) as db:
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await db.execute("create table perf (i integer primary key asc, k integer)")
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await db.commit()
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while True:
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yield
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await db.execute("insert into perf (k) values (1), (2), (3)")
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await db.commit()
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@timed
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async def test_insert_ids(self):
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async with aiosqlite.connect(TEST_DB) as db:
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await db.execute("create table perf (i integer primary key asc, k integer)")
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await db.commit()
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while True:
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yield
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cursor = await db.execute("insert into perf (k) values (1)")
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await cursor.execute("select last_insert_rowid()")
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await cursor.fetchone()
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await db.commit()
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@timed
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async def test_insert_macro_ids(self):
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async with aiosqlite.connect(TEST_DB) as db:
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await db.execute("create table perf (i integer primary key asc, k integer)")
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await db.commit()
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while True:
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yield
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await db.execute_insert("insert into perf (k) values (1)")
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await db.commit()
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@timed
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async def test_select(self):
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async with aiosqlite.connect(TEST_DB) as db:
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await db.execute("create table perf (i integer primary key asc, k integer)")
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for i in range(100):
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await db.execute("insert into perf (k) values (%d)" % (i,))
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await db.commit()
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while True:
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yield
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cursor = await db.execute("select i, k from perf")
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assert len(await cursor.fetchall()) == 100
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@timed
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async def test_select_macro(self):
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async with aiosqlite.connect(TEST_DB) as db:
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await db.execute("create table perf (i integer primary key asc, k integer)")
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for i in range(100):
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await db.execute("insert into perf (k) values (%d)" % (i,))
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await db.commit()
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while True:
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yield
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assert len(await db.execute_fetchall("select i, k from perf")) == 100
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async def test_iterable_cursor_perf(self):
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async with aiosqlite.connect(TEST_DB) as db:
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await db.execute(
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"create table ic_perf ("
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"i integer primary key asc, k integer, a integer, b integer, c char(16))"
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)
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for batch in range(128): # add 128k rows
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r_start = batch * 1024
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await db.executemany(
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"insert into ic_perf (k, a, b, c) values(?, 1, 2, ?)",
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[
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*[
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(i, string.ascii_lowercase)
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for i in range(r_start, r_start + 1024)
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]
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],
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)
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await db.commit()
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async def test_perf(chunk_size: int):
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while True:
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async with db.execute("SELECT * FROM ic_perf") as cursor:
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cursor.iter_chunk_size = chunk_size
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async for _ in cursor:
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yield
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for chunk_size in [2 ** i for i in range(4, 11)]:
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await timed(test_perf, f"iterable_cursor @ {chunk_size}")(chunk_size)
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