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mongo perftest
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import pymongo | |
import time | |
import random | |
import string | |
import socks | |
import socket | |
PROXY_HOST = "1.2.3.4" | |
PROXY_PORT = 1080 | |
socks.set_default_proxy(socks.SOCKS5, PROXY_HOST, PROXY_PORT) | |
socket.socket = socks.socksocket | |
socket.socket = lambda *args, **kwargs: socks.socksocket(socket.AF_INET, socket.SOCK_STREAM) | |
uri = "mongodb://adathor:[email protected]/admin?replicaSet=replicaset&tls=true" | |
client = pymongo.MongoClient(uri, tls=True) | |
db = client["testdb"] | |
collection = db["testcollection"] | |
def random_string(size=1024): | |
return ''.join(random.choices(string.ascii_letters + string.digits, k=size)) | |
def generate_large_document(i): | |
return { | |
"id": i, | |
"name": f"User_{i}", | |
"email": f"user{i}@example.com", | |
"bio": random_string(3 * 1024 * 1024), # 3MB of random text | |
"tags": [random_string(128) for _ in range(500)], # 500 small random strings (~64KB) | |
"metadata": { | |
"age": random.randint(18, 99), | |
"country": random.choice(["USA", "Canada", "UK", "Germany", "France"]), | |
"preferences": { | |
"theme": random.choice(["dark", "light"]), | |
"notifications": bool(random.getrandbits(1)) | |
}, | |
"extra_data": [random_string(1024) for _ in range(1000)], # 1000 strings of 1KB (~1MB) | |
}, | |
"history": [{"timestamp": random.randint(1609459200, 1700000000), "action": random.choice(["login", "purchase", "logout"])} for _ in range(5000)], # Large history list (~500KB) | |
"created_at": time.time() | |
} | |
write_times = [] | |
for i in range(100): | |
start = time.time() | |
collection.insert_one(generate_large_document(i)) | |
end = time.time() | |
write_times.append(end - start) | |
# Measure read latency | |
read_times = [] | |
for i in range(100): | |
start = time.time() | |
collection.find_one({"id": i}) | |
end = time.time() | |
read_times.append(end - start) | |
# Calculate and print results | |
def print_stats(times, operation): | |
total_time = sum(times) | |
min_time = min(times) | |
max_time = max(times) | |
avg_time = total_time / len(times) | |
print(f"\n{operation} Stats:") | |
print(f" Total Time: {total_time:.6f} seconds") | |
print(f" Fastest {operation}: {min_time:.6f} seconds") | |
print(f" Slowest {operation}: {max_time:.6f} seconds") | |
print(f" Average {operation} Time: {avg_time:.6f} seconds") | |
print_stats(write_times, "Write") | |
print_stats(read_times, "Read") |
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