HTTP vs HTTP3 Performance Comparison

test.py

import time
import pandas as pd
import numpy as np
from selenium import webdriver

def get_timing_performance(t):
    return {
        "DNS_time": t['domainLookupEnd'] - t['domainLookupStart'],
        "INIT_CNT_time": t['connectEnd'] - t['connectStart'],
        "SSL_time": t['connectEnd'] - t['secureConnectionStart'],
        "TTFB_time": t['responseStart'] - t['requestStart'],
        "CONTENT_DL_time": t['responseEnd']  - t['responseStart'],
        "DOM_COMPL_time": t["domComplete"] - t['responseEnd'],
        "TOT_time": t["domComplete"] - t['domainLookupStart']
    }

get_perf = lambda driver: get_timing_performance(driver.execute_script("return window.performance.timing"))

http3_support_sites = [
    "https://www.google.com",
    "https://earth.google.com",
    "https://www.google.com/maps",
    "https://play.google.com",
    "https://artsandculture.google.com"
]

def hard_refresh(driver):
    driver.execute_script("location.reload(true);")

def test_site_by_driver(driver, rounds=9, sleep=3, refresh_hard=True, sites=http3_support_sites):
    result = []
    for site_url in sites:
        driver.get(site_url)
        r = get_perf(driver)
        r["site"], r["try"] = site_url, 0
        result.append(r)

        for t in range(rounds):
            hard_refresh(driver) if refresh_hard else driver.refresh()    
            r = get_perf(driver)
            r["site"], r["try"] = site_url, t + 1
            result.append(r)
            time.sleep(sleep)
    return pd.DataFrame(result)
    
# HTTP 일반 연결
fp = get_http3_profile(False)
driver = webdriver.Firefox(executable_path='./geckodriver', firefox_profile=fp)
df_http = test_site_by_driver(driver, rounds=9, sleep=1, refresh_hard=False)
driver.quit()

# HTTP3 연결 사용
fp = get_http3_profile(True)
driver_http3 = webdriver.Firefox(executable_path='./geckodriver', firefox_profile=fp)
df_http3 = test_site_by_driver(driver_http3, rounds=9, sleep=1, refresh_hard=False)
driver.quit()

# HTTP3, HTTP 연결 시간 차이 테이블 생성
time_cols = ['DNS_time','INIT_CNT_time','SSL_time','TTFB_time', 'CONTENT_DL_time',"DOM_COMPL_time","TOT_time"]
df_diff = df_http3[time_cols] - df_http[time_cols]
df_diff3[["site", "try"]] = df_http2[["site", "try"]]
ptable = df_diff3.pivot_table(time_cols,  ["site"], aggfunc=np.mean)

ptable = ptable[['DNS_time','INIT_CNT_time','SSL_time','TTFB_time', 'CONTENT_DL_time',"DOM_COMPL_time","TOT_time"]]
ptable.columns = ['DNS Lookup','첫 연결 시간', 
                  'SSL 보안', 'TTFB(첫 응답시간)', '콘텐츠 다운 시간',
                  'DOM완료 시간', '전체 시간']

print(ptable) #display(ptable)