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Kakfa Python client

This module provides low-level protocol support Apache Kafka. It implements the five basic request types (and their responses): Produce, Fetch, MultiFetch, MultiProduce, and Offsets.

Compatible with Apache Kafka 0.7x.

License

Copyright 2012, David Arthur under Apache License, v2.0. See LICENSE

Usage

Send a message to a topic

You need to specify the topic and partition

    kafka = KafkaClient("localhost", 9092)
    kafka.send_messages_simple("my-topic", 0, "some message")
    kafka.close()

Send several messages to a topic

Same as before, just add more arguments to send_simple

    kafka = KafkaClient("localhost", 9092)
    kafka.send_messages_simple("my-topic", 0, "some message", "another message", "and another")
    kafka.close()

Recieve some messages from a topic

Supply get_message_set with a FetchRequest, get back the messages and new FetchRequest

    kafka = KafkaClient("localhost", 9092)
    req = FetchRequest("my-topic", 0, 0, 1024*1024)
    (messages, req1) = kafka.get_message_set(req)
    kafka.close()

The returned FetchRequest includes the offset of the next message. This makes paging through the queue very simple.

Send multiple messages to multiple topics

For this we use the send_multi_message_set method along with ProduceRequest objects.

    kafka = KafkaClient("localhost", 9092)
    req1 = ProduceRequest("my-topic-1", 0, [
        create_message_from_string("message one"),
        create_message_from_string("message two")
    ])
    req2 = ProduceRequest("my-topic-2", 0, [
        create_message_from_string("nachricht ein"),
        create_message_from_string("nachricht zwei")
    ])
    kafka.sent_multi_message_set([req1, req1])
    kafka.close()

Iterate through all messages from an offset

The iter_messages method will make the underlying calls to get_message_set to provide a generator that returns every message available.

    kafka = KafkaClient("localhost", 9092)
    for msg in kafka.iter_messages(FetchRequest("my-topic", 0, 0, 1024*1024)):
        print(msg.payload)
    kafka.close()

An optional auto argument will control auto-paging through results

    kafka = KafkaClient("localhost", 9092)
    for msg in kafka.iter_messages(FetchRequest("my-topic", 0, 0, 1024*1024), False):
        print(msg.payload)
    kafka.close()

This will only iterate through messages in the byte range of (0, 1024*1024)

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