-
Notifications
You must be signed in to change notification settings - Fork 0
/
benchmark.py
65 lines (46 loc) · 1.74 KB
/
benchmark.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
from kafka import KafkaProducer, KafkaConsumer
import time
#Message
msg_count = 10000
msg_size = 100 #bytes
msg_payload = ('adamadam' * 20).encode()[:msg_size]
payload_size = msg_size * msg_count
#Configure settings
bootstrap_servers = 'localhost:9092'
topic = 'testTopic'
auto_offset_reset = 'earliest'
#Timers
producer_time = {}
consumer_time = {}
def time_In(timing, n_messages=msg_count, msg_size=msg_size):
print("Uploaded {0} messsages in {1:.2f} seconds to the partition".format(n_messages, timing))
print("Upload speed: {0:.2f} MB/s".format((msg_size * n_messages) * 1e-6 / timing ))
def time_Out(timing, n_messages=10000, msg_size=100):
print("Downloaded {0} messsages in {1:.2f} seconds from the partition".format(n_messages, timing))
print("Download speed: {0:.2f} MB/s".format((msg_size * n_messages) * 1e-6 / timing ))
def Producer():
producer = KafkaProducer(bootstrap_servers=bootstrap_servers)
producer_start = time.time()
for i in range(msg_count):
producer.send(topic, msg_payload)
producer.flush()
return time.time() - producer_start
def Consumer():
consumer = KafkaConsumer(bootstrap_servers=bootstrap_servers,auto_offset_reset = auto_offset_reset,)
msg_consumed_count = 0
consumer_start = time.time()
consumer.subscribe([topic])
for msg in consumer:
msg_consumed_count += 1
if msg_consumed_count >= msg_count:
break
consumer_timing = time.time() - consumer_start
consumer.close()
print consumer_timing
return consumer_timing
print("Message payload : "+msg_payload)
producer_time['Producer'] = Producer()
time_In(producer_time['Producer'])
_ = Producer()
consumer_time['Consumer'] = Consumer()
time_Out(consumer_time['Consumer'])