mirror of
https://github.com/tursodatabase/limbo.git
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ruff lint fix
This commit is contained in:
pedrocarlo
parent
50c8b2ca2e
commit
80ccca8827
29 changed files with 375 additions and 434 deletions
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@ -2,11 +2,12 @@
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import argparse
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import sqlite3
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from faker import Faker
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parser = argparse.ArgumentParser()
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parser.add_argument('filename')
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parser.add_argument('-c', '--count', type=int)
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parser.add_argument("filename")
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parser.add_argument("-c", "--count", type=int)
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args = parser.parse_args()
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@ -14,7 +15,7 @@ conn = sqlite3.connect(args.filename)
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cursor = conn.cursor()
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# Create the user table
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cursor.execute('''
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS user (
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id INTEGER PRIMARY KEY,
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first_name TEXT,
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@ -26,7 +27,7 @@ cursor.execute('''
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state TEXT,
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zipcode TEXT
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)
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''')
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""")
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fake = Faker()
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for _ in range(args.count):
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@ -39,10 +40,13 @@ for _ in range(args.count):
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state = fake.state_abbr()
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zipcode = fake.zipcode()
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cursor.execute('''
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cursor.execute(
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"""
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INSERT INTO user (first_name, last_name, email, phone_number, address, city, state, zipcode)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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''', (first_name, last_name, email, phone_number, address, city, state, zipcode))
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""",
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(first_name, last_name, email, phone_number, address, city, state, zipcode),
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)
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conn.commit()
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conn.close()
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@ -1,16 +1,15 @@
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#!/usr/bin/env python3
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import matplotlib.pyplot as plt
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import matplotlib
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import csv
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font = {'family' : 'normal',
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'weight' : 'bold',
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'size' : 22}
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import matplotlib
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import matplotlib.pyplot as plt
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matplotlib.rcParams.update({'font.size': 22})
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font = {"family": "normal", "weight": "bold", "size": 22}
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file_name = 'results.csv'
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matplotlib.rcParams.update({"font.size": 22})
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file_name = "results.csv"
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threads = []
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p50_values = []
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p95_values = []
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@ -22,34 +21,34 @@ p99_limbo = []
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p999_limbo = []
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# Parse the CSV file
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with open(file_name, 'r') as csvfile:
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with open(file_name, "r") as csvfile:
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reader = csv.DictReader(csvfile)
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for row in reader:
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if row['system'] == 'rusqlite':
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threads.append(int(row['count']))
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p50_values.append(float(row['p50']) / 1e3)
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p95_values.append(float(row['p95']) / 1e3)
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p99_values.append(float(row['p99']) / 1e3)
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p999_values.append(float(row['p999']) / 1e3)
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if row["system"] == "rusqlite":
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threads.append(int(row["count"]))
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p50_values.append(float(row["p50"]) / 1e3)
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p95_values.append(float(row["p95"]) / 1e3)
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p99_values.append(float(row["p99"]) / 1e3)
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p999_values.append(float(row["p999"]) / 1e3)
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else:
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p95_limbo.append(float(row['p95']) / 1e3)
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p99_limbo.append(float(row['p99']) / 1e3)
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p999_limbo.append(float(row['p999']) / 1e3)
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p95_limbo.append(float(row["p95"]) / 1e3)
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p99_limbo.append(float(row["p99"]) / 1e3)
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p999_limbo.append(float(row["p999"]) / 1e3)
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plt.figure(figsize=(10, 6))
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plt.plot(threads, p999_values, label='rusqlite (p999)', linestyle='solid', marker='$\u2217$')
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plt.plot(threads, p999_limbo, label='limbo (p999)', linestyle='solid', marker='$\u2217$')
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plt.plot(threads, p99_values, label='rusqlite (p99)', linestyle='solid', marker='$\u002B$')
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plt.plot(threads, p99_limbo, label='limbo (p99)', linestyle='solid', marker='$\u002B$')
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#plt.plot(threads, p95_values, label='p95', linestyle='solid', marker="$\u25FE$")
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#plt.plot(threads, p50_values, label='p50', linestyle='solid', marker="$\u25B2$")
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plt.plot(threads, p999_values, label="rusqlite (p999)", linestyle="solid", marker="$\u2217$")
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plt.plot(threads, p999_limbo, label="limbo (p999)", linestyle="solid", marker="$\u2217$")
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plt.plot(threads, p99_values, label="rusqlite (p99)", linestyle="solid", marker="$\u002b$")
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plt.plot(threads, p99_limbo, label="limbo (p99)", linestyle="solid", marker="$\u002b$")
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# plt.plot(threads, p95_values, label='p95', linestyle='solid', marker="$\u25FE$")
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# plt.plot(threads, p50_values, label='p50', linestyle='solid', marker="$\u25B2$")
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plt.yscale("log")
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plt.xlabel('Number of Tenants')
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plt.ylabel('Latency (µs)')
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plt.xlabel("Number of Tenants")
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plt.ylabel("Latency (µs)")
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plt.grid(True)
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plt.legend()
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plt.tight_layout()
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plt.savefig('latency_distribution.pdf')
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plt.savefig("latency_distribution.pdf")
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@ -2,11 +2,12 @@
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import argparse
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import sqlite3
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from faker import Faker
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parser = argparse.ArgumentParser()
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parser.add_argument('filename')
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parser.add_argument('-c', '--count', type=int)
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parser.add_argument("filename")
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parser.add_argument("-c", "--count", type=int)
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args = parser.parse_args()
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@ -14,7 +15,7 @@ conn = sqlite3.connect(args.filename)
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cursor = conn.cursor()
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# Create the user table
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cursor.execute('''
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS user (
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id INTEGER PRIMARY KEY,
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first_name TEXT,
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@ -26,7 +27,7 @@ cursor.execute('''
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state TEXT,
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zipcode TEXT
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)
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''')
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""")
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fake = Faker()
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for _ in range(args.count):
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@ -39,10 +40,13 @@ for _ in range(args.count):
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state = fake.state_abbr()
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zipcode = fake.zipcode()
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cursor.execute('''
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cursor.execute(
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"""
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INSERT INTO user (first_name, last_name, email, phone_number, address, city, state, zipcode)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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''', (first_name, last_name, email, phone_number, address, city, state, zipcode))
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""",
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(first_name, last_name, email, phone_number, address, city, state, zipcode),
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)
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conn.commit()
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conn.close()
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@ -1,16 +1,15 @@
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#!/usr/bin/env python3
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import matplotlib.pyplot as plt
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import matplotlib
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import csv
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font = {'family' : 'normal',
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'weight' : 'bold',
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'size' : 22}
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import matplotlib
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import matplotlib.pyplot as plt
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matplotlib.rcParams.update({'font.size': 22})
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font = {"family": "normal", "weight": "bold", "size": 22}
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file_name = 'results.csv'
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matplotlib.rcParams.update({"font.size": 22})
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file_name = "results.csv"
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threads = []
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p50_values = []
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p95_values = []
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@ -18,27 +17,27 @@ p99_values = []
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p999_values = []
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# Parse the CSV file
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with open(file_name, 'r') as csvfile:
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with open(file_name, "r") as csvfile:
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reader = csv.DictReader(csvfile)
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for row in reader:
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threads.append(int(row['count']))
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p50_values.append(float(row['p50']) / 1e3)
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p95_values.append(float(row['p95']) / 1e3)
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p99_values.append(float(row['p99']) / 1e3)
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p999_values.append(float(row['p999']) / 1e3)
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threads.append(int(row["count"]))
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p50_values.append(float(row["p50"]) / 1e3)
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p95_values.append(float(row["p95"]) / 1e3)
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p99_values.append(float(row["p99"]) / 1e3)
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p999_values.append(float(row["p999"]) / 1e3)
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plt.figure(figsize=(10, 6))
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plt.plot(threads, p999_values, label='p999', linestyle='solid', marker='$\u2217$')
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plt.plot(threads, p99_values, label='p99', linestyle='solid', marker='$\u002B$')
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plt.plot(threads, p95_values, label='p95', linestyle='solid', marker="$\u25FE$")
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plt.plot(threads, p50_values, label='p50', linestyle='solid', marker="$\u25B2$")
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plt.plot(threads, p999_values, label="p999", linestyle="solid", marker="$\u2217$")
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plt.plot(threads, p99_values, label="p99", linestyle="solid", marker="$\u002b$")
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plt.plot(threads, p95_values, label="p95", linestyle="solid", marker="$\u25fe$")
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plt.plot(threads, p50_values, label="p50", linestyle="solid", marker="$\u25b2$")
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plt.yscale("log")
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plt.xlabel('Number of Threads')
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plt.ylabel('Latency (µs)')
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plt.xlabel("Number of Threads")
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plt.ylabel("Latency (µs)")
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plt.grid(True)
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plt.legend()
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plt.tight_layout()
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plt.savefig('latency_distribution.pdf')
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plt.savefig("latency_distribution.pdf")
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