Twisted Python client for Apache Kafka
- Producing messages, with automatic batching and optional compression.
- Consuming messages, with group coordination and automatic commit.
Afkak supports these Pythons:
- CPython 2.7
- CPython 3.5, 3.6, 3.7, and 3.8
- PyPy and PyPy3 6.0+
We aim to support Kafka 1.1.x and later. Integration tests are run against these Kafka broker versions:
Testing against 2.0.0 is planned (see #45).
Newer broker releases will generally function, but not all Afkak features will work on older brokers. In particular, the coordinated consumer won’t work before Kafka 0.9.0.1. We don’t recommend deploying such old releases anyway, as they have serious bugs.
from afkak.client import KafkaClient from afkak.consumer import Consumer from afkak.producer import Producer from afkak.common import (OFFSET_EARLIEST, PRODUCER_ACK_ALL_REPLICAS, PRODUCER_ACK_LOCAL_WRITE) kClient = KafkaClient("localhost:9092") # To send messages producer = Producer(kClient) d1 = producer.send_messages("my-topic", msgs=[b"some message"]) d2 = producer.send_messages("my-topic", msgs=[b"takes a list", b"of messages"]) # To get confirmations/errors on the sends, add callbacks to the returned deferreds d1.addCallbacks(handleResponses, handleErrors) # To wait for acknowledgements # PRODUCER_ACK_LOCAL_WRITE : server will wait till the data is written to # a local log before sending response # [ the default ] # PRODUCER_ACK_ALL_REPLICAS : server will block until the message is committed # by all in sync replicas before sending a response producer = Producer(kClient, req_acks=Producer.PRODUCER_ACK_LOCAL_WRITE, ack_timeout=2000) responseD = producer.send_messages("my-topic", msgs=[b"message"]) # Using twisted's @inlineCallbacks: responses = yield responseD if response: print(response.error) print(response.offset) # To send messages in batch: You can use a producer with any of the # partitioners for doing this. The following producer will collect # messages in batch and send them to Kafka after 20 messages are # collected or every 60 seconds (whichever comes first). You can # also batch by number of bytes. # Notes: # * If the producer dies before the messages are sent, the caller would # * not have had the callbacks called on the send_messages() returned # * deferreds, and so can retry. # * Calling producer.stop() before the messages are sent will # errback() the deferred(s) returned from the send_messages call(s) producer = Producer(kClient, batch_send=True, batch_send_every_n=20, batch_send_every_t=60) responseD1 = producer.send_messages("my-topic", msgs=[b"message"]) responseD2 = producer.send_messages("my-topic", msgs=[b"message 2"]) # To consume messages # define a function which takes a list of messages to process and # possibly returns a deferred which fires when the processing is # complete. def processor_func(consumer, messages): # Store_Messages_In_Database may return a deferred result = store_messages_in_database(messages) # record last processed message consumer.commit() return result the_partition = 3 # Consume only from partition 3. consumer = Consumer(kClient, "my-topic", the_partition, processor_func) d = consumer.start(OFFSET_EARLIEST) # Start reading at earliest message # The deferred returned by consumer.start() will fire when an error # occurs that can't handled by the consumer, or when consumer.stop() # is called yield d consumer.stop() kClient.close()
from afkak.client import KafkaClient from afkak.producer import Producer from afkak.partitioner import HashedPartitioner, RoundRobinPartitioner kafka = KafkaClient("localhost:9092") # Use the HashedPartitioner so that the producer will use the optional key # argument on send_messages() producer = Producer(kafka, partitioner_class=HashedPartitioner) producer.send_messages("my-topic", "key1", [b"some message"]) producer.send_messages("my-topic", "key2", [b"this method"])
from afkak.client import KafkaClient kafka = KafkaClient("localhost:9092") req = ProduceRequest(topic="my-topic", partition=1, messages=[KafkaProtocol.encode_message(b"some message")]) resps = afkak.send_produce_request(payloads=[req], fail_on_error=True) kafka.close() resps.topic # b"my-topic" resps.partition # 1 resps.error # 0 (hopefully) resps.offset # offset of the first message sent in this request
Afkak releases are available on PyPI.
Then Afkak can be installed with pip as usual:
Copyright 2013, 2014, 2015 David Arthur under Apache License, v2.0. See
Copyright 2014, 2015 Cyan, Inc. under Apache License, v2.0. See
Copyright 2015, 2016, 2017, 2018, 2019 Ciena Corporation under Apache License, v2.0. See
This project began as a port of the kafka-python library to Twisted.
See AUTHORS.md for the full contributor list.
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