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# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
import os
import dotenv
import logging
import threading
from logging.handlers import RotatingFileHandler
import time
from azure.eventhub import EventHubConsumerClient
from azure.eventhub import parse_connection_string
logger = logging.getLogger("RECEIVE_PERF_TEST")
logger.setLevel(logging.INFO)
logger.addHandler(RotatingFileHandler("receive_perf_test.log"))
dotenv.load_dotenv()
CONN_STRS = [
os.environ["EVENT_HUB_CONN_STR_BASIC_NORTHEU"],
os.environ["EVENT_HUB_CONN_STR_STANDARD_NORTHEU"],
os.environ["EVENT_HUB_CONN_STR_BASIC_WESTUS2"],
os.environ["EVENT_HUB_CONN_STR_STANDARD_WESTUS2"],
]
EH_NAME_EVENT_SIZE_PAIR = [
("pyamqp_512", 512),
]
PREFETCH_LIST = [300, 3000]
PARTITION_ID = "0"
RUN_DURATION = 30
FIXED_AMOUNT = 100_000
def receive_fixed_time_interval(
conn_str,
eventhub_name,
single_event_size,
prefetch=300,
batch_receiving=False,
description=None,
run_duration=30,
partition_id="0",
):
consumer_client = EventHubConsumerClient(conn_str, consumer_group="$Default", eventhub_name=eventhub_name)
last_received_count = [0]
received_count = [0]
run_flag = [True]
all_perf_records = []
check_interval = 1
def on_event(partition_context, event):
received_count[0] += 1
def on_event_batch(partition_context, events):
received_count[0] += len(events)
def monitor():
while run_flag[0]:
snap = received_count[0]
perf = (snap - last_received_count[0]) / check_interval
last_received_count[0] = snap
all_perf_records.append(perf)
time.sleep(check_interval)
target = consumer_client.receive_batch if batch_receiving else consumer_client.receive
kwargs = {
"partition_id": partition_id,
"starting_position": "-1", # "-1" is from the beginning of the partition.
"prefetch": prefetch,
}
if batch_receiving:
kwargs["max_batch_size"] = prefetch
kwargs["on_event_batch"] = on_event_batch
else:
kwargs["on_event"] = on_event
thread = threading.Thread(target=target, kwargs=kwargs)
monitor_thread = threading.Thread(target=monitor)
thread.daemon = True
monitor_thread.daemon = True
thread.start()
monitor_thread.start()
time.sleep(run_duration)
consumer_client.close()
run_flag[0] = False
valid_perf_records = all_perf_records[10:] # skip the first 10 records to let the receiving program be stable
avg_perf = sum(valid_perf_records) / len(valid_perf_records)
logger.info(
"EH Namespace: {}.\nMethod: {}, The average performance is {} events/s, throughput: {} bytes/s.\n"
"Configs are: Single message size: {} bytes, Run duration: {} seconds.\n"
"Prefetch: {}.".format(
parse_connection_string(conn_str).fully_qualified_namespace,
description or "receive_fixed_time_interval",
avg_perf,
avg_perf * single_event_size,
single_event_size,
run_duration,
prefetch,
)
)
def receive_fixed_amount(
conn_str,
eventhub_name,
single_event_size,
prefetch=300,
batch_receiving=False,
description=None,
partition_id="0",
run_times=1,
fixed_amount=100_000,
):
consumer_client = EventHubConsumerClient(
conn_str, consumer_group="$Default", eventhub_name=eventhub_name, prefetch=prefetch
)
perf_records = []
received_count = [0]
def on_event(partition_context, event):
received_count[0] += 1
if received_count[0] == fixed_amount:
consumer_client.close()
def on_event_batch(partition_context, events):
received_count[0] += len(events)
if received_count[0] >= fixed_amount:
consumer_client.close()
for i in range(run_times):
start_time = time.time()
with consumer_client:
if batch_receiving:
consumer_client.receive_batch(
on_event_batch=on_event_batch,
partition_id=partition_id,
starting_position="-1",
max_batch_size=prefetch,
prefetch=prefetch,
)
else:
consumer_client.receive(
on_event=on_event, partition_id=partition_id, starting_position="-1", prefetch=prefetch
)
end_time = time.time()
total_time = end_time - start_time
speed = fixed_amount / total_time
perf_records.append(speed)
received_count[0] = 0
avg_perf = sum(perf_records) / len(perf_records)
logger.info(
"EH Namespace: {}.\nMethod: {}, The average performance is {} events/s, throughput: {} bytes/s.\n"
"Configs are: Single message size: {} bytes, Total events to receive: {}.\n"
"Prefetch:{}.".format(
parse_connection_string(conn_str).fully_qualified_namespace,
description or "receive_fixed_amount",
avg_perf,
avg_perf * single_event_size,
single_event_size,
fixed_amount,
prefetch,
)
)
if __name__ == "__main__":
for conn_str in CONN_STRS:
for eh_name, single_event_size in EH_NAME_EVENT_SIZE_PAIR:
for prefetch in PREFETCH_LIST:
for batch_receiving in [True, False]:
print("------------------- receiving fixed amount -------------------")
receive_fixed_amount(
conn_str=conn_str,
eventhub_name=eh_name,
single_event_size=single_event_size,
prefetch=prefetch,
batch_receiving=batch_receiving,
)
print("------------------- receiving fixed interval -------------------")
receive_fixed_time_interval(
conn_str=conn_str,
eventhub_name=eh_name,
single_event_size=single_event_size,
prefetch=prefetch,
batch_receiving=batch_receiving,
)
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