def launch(): global loop loop = GLibEventLoop(context=GLib.MainContext.default()) executor = ThreadPoolExecutor(max_workers=1) executor.submit(worker)
def launch():
executor = ThreadPoolExecutor(max_workers=1)
executor.submit(worker)
Simulate a situation when multiple threads of Kafka RPC Client send request to Kafka RPC Server
"""
USE_GEVENT = True
if USE_GEVENT:
import gevent
as_completed = gevent.wait
from gevent.threadpool import ThreadPoolExecutor as ThreadPoolExecutor
else:
from concurrent.futures import ThreadPoolExecutor, as_completed
from kafka_rpc import KRPCClient
pool = ThreadPoolExecutor(128)
# assuming you kafka broker is on localhost:9092
krc = KRPCClient('localhost:9092', topic_name='sum')
# call method concurrently from client to server
# use pool.map if you like
futures = []
for i in range(128):
futures.append(pool.submit(krc.add, 1, 2, timeout=20))
for future in as_completed(futures):
result = future.result()
print(result)
krc.close()
def thread_pool_main(interface_info):
thread_obj = ThreadPoolExecutor(max_workers=1,
thread_name_prefix="WorkExecutor")
# logger.info("Master ThreadPool Executor starts thread worker")
thread_obj.submit(get_response(interface_info))