supervisor和Python多进程multiprocessing使用 子进程残留问题

增加配置stopasgroup=true既可，实际案列如下配置所示：

[program:flow-file-to-kafka]
command=python3 /data/collector/kafka_file_convert/file_to_kafka_flow.py -topic=test -filePath=/data/ -processNum=50
process_name=%(process_num)01d
numprocs=1
autorstart=true
autorestart=true
startsecs=5 
startretries=100
stopasgroup=true

多进程代码示例如下：

#!/usr/bin/python3
# -*- coding: utf-8 -*-
import json
import logging
import gzip
import argparse
from multiprocessing import Queue, Process
import os
import time

import kafkatool

KAFKA_HOST_PRODUCER = ["192.168.1.1:9092"]

logging.basicConfig(format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s',
                    level=logging.INFO)


def handle_data(file_path, topic):
    producer = kafkatool.Kafka_producer(KAFKA_HOST_PRODUCER, topic)
    with gzip.open(file_path, 'rb') as f:
        for line in f:
            data = str(line, encoding = "utf-8").rstrip('\n')
            data = data.encode()
            producer.send(topic, data)

def my_consumer(queue, topic):
    producer = kafkatool.Kafka_producer(KAFKA_HOST_PRODUCER, topic)
    logging.info("kafka producer start: bootstrap_servers:{}".format(KAFKA_HOST_PRODUCER))
    logging.info("kafka producer start: topic:{}".format(topic))
    while True:
        data = queue.get()
        producer.send(topic, data)


def my_producer(queue, filepath):
    while True:
        files = os.listdir(filepath)
        count = 0
        for file in files:
            if file.endswith('.tmp'):
                continue
            file_path = os.path.join(filepath, file)
            count += 1
            with gzip.open(file_path, 'rb') as f:
                for line in f:
                    data = str(line, encoding="utf-8").rstrip('\n')
                    data = data.encode()
                    queue.put(data)
            os.remove(file_path)
        if count > 0:
            logging.info(f"One Loop Results: {count}")
            continue
        time.sleep(1)

if __name__ == '__main__':
    parser = argparse.ArgumentParser()

    parser.add_argument("-topic", "--topic", default="logs", help="consumer topic")
    parser.add_argument("-filePath", "--filePath", default="/root/yy", help="file path")
    parser.add_argument("-processNum", "--processNum", default=5, type=int, help="process number")

    args = parser.parse_args()

    consumers = []
    q = Queue()
    p = Process(target=my_producer, args=(q, args.filePath))
    p.start()
    for i in range(args.processNum):
        c = Process(target=my_consumer, args=(q, args.topic))
        c.start()
        consumers.append(c)
    for p in consumers:
        p.join()