mirror of
https://github.com/ClickHouse/ClickHouse.git
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117 lines
2.7 KiB
Python
Executable File
117 lines
2.7 KiB
Python
Executable File
#! /usr/bin/env python3
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# -*- coding: utf-8 -*-
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# `pip install …`
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import kafka # … kafka-python
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import argparse
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from concurrent.futures import ThreadPoolExecutor
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import enum
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import multiprocessing
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import sys
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import time
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class Sync(enum.Enum):
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NONE = "none"
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LEAD = "leader"
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ALL = "all"
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def __str__(self):
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return self.value
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def convert(self):
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values = {
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str(Sync.NONE): "0",
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str(Sync.LEAD): "1",
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str(Sync.ALL): "all",
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}
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return values[self.value]
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def main():
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parser = argparse.ArgumentParser(
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description="Produce a single message taken from input"
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)
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parser.add_argument(
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"--server",
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type=str,
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metavar="HOST",
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default="localhost",
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help="Kafka bootstrap-server address",
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)
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parser.add_argument(
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"--port",
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type=int,
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metavar="PORT",
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default=9092,
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help="Kafka bootstrap-server port",
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)
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parser.add_argument(
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"--client",
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type=str,
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default="ch-kafka-python",
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help="custom client id for this producer",
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)
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parser.add_argument(
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"--topic", type=str, required=True, help="name of Kafka topic to store in"
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)
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parser.add_argument(
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"--retries", type=int, default=0, help="number of retries to send on failure"
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)
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parser.add_argument(
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"--multiply", type=int, default=1, help="multiplies incoming string many times"
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)
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parser.add_argument(
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"--repeat",
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type=int,
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default=1,
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help="send same (multiplied) message many times",
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)
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mode_group = parser.add_mutually_exclusive_group()
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mode_group.add_argument(
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"--jobs",
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type=int,
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default=multiprocessing.cpu_count(),
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help="number of concurrent jobs",
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)
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mode_group.add_argument(
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"--delay",
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type=int,
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metavar="SECONDS",
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default=0,
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help="delay before sending next message",
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)
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args = parser.parse_args()
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config = {
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"bootstrap_servers": f"{args.server}:{args.port}",
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"client_id": args.client,
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"retries": args.retries,
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}
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client = kafka.KafkaProducer(**config)
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message = sys.stdin.buffer.read() * args.multiply
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def send(num):
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if args.delay > 0:
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time.sleep(args.delay)
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client.send(topic=args.topic, value=message)
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print(f"iteration {num}: sent a message multiplied {args.multiply} times")
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if args.delay > 0:
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args.jobs = 1
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pool = ThreadPoolExecutor(max_workers=args.jobs)
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for num in range(args.repeat):
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pool.submit(send, num)
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pool.shutdown()
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client.flush()
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client.close()
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return 0
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if __name__ == "__main__":
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exit(main())
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