to_kafka throughput

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难度
4/5
预计耗时
3-5 天
新手友好度
35/100
Issue 类型
缺陷
描述清晰度
基本清楚
活跃度
停滞
技术栈
kafka, python

调研方向

Start at the to_kafka sink and its self.producer.poll(0) call, then reproduce the behavior with the proposed test_to_kafka_throughput test. Done means 100 emitted items reach sink_to_list() within the test timeout without callbacks being limited by the 0.2-second poll interval.

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描述

I'm testing to_kafka sink and its throughput is limited by polltime (0.2 sec). Looks like self.producer.poll(0) only polls for one message at a time and so only one callback is called every 0.2 seconds.

This fails:

def test_to_kafka_throughput():
    ARGS = {'bootstrap.servers': 'localhost:9092'}
    with kafka_service() as kafka:
        _, TOPIC = kafka
        source = Stream.from_iterable(range(100)).map(lambda x: str(x).encode())
        kafka = source.to_kafka(TOPIC, ARGS)
        out = kafka.sink_to_list()

        source.start()
        wait_for(
            lambda: len(out) == 100,
            5,
            period=0.1,
            fail_func=lambda: print("len(out) ==", len(out))
        )

The existing test_to_kafka test doesn't catch this, because it starts waiting on the result only after all the items are emitted.

I spent some time tinkering with the code, but can't figure out what's wrong and how to fix this, so any ideas are appreciated.

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Python
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