divyanx-aiokafka

asyncio client for Kafka

AIOKafkaProducer

AIOKafkaProducer is a high-level, asynchronous message producer.

Example of AIOKafkaProducer usage:

from aiokafka import AIOKafkaProducer
import asyncio

async def send_one():
    producer = AIOKafkaProducer(bootstrap_servers='localhost:9092')
    # Get cluster layout and initial topic/partition leadership information
    await producer.start()
    try:
        # Produce message
        await producer.send_and_wait("my_topic", b"Super message")
    finally:
        # Wait for all pending messages to be delivered or expire.
        await producer.stop()

asyncio.run(send_one())

AIOKafkaConsumer

AIOKafkaConsumer is a high-level, asynchronous message consumer. It interacts with the assigned Kafka Group Coordinator node to allow multiple consumers to load balance consumption of topics (requires kafka >= 0.9.0.0).

Example of AIOKafkaConsumer usage:

from aiokafka import AIOKafkaConsumer
import asyncio

async def consume():
    consumer = AIOKafkaConsumer(
        'my_topic', 'my_other_topic',
        bootstrap_servers='localhost:9092',
        group_id="my-group")
    # Get cluster layout and join group `my-group`
    await consumer.start()
    try:
        # Consume messages
        async for msg in consumer:
            print("consumed: ", msg.topic, msg.partition, msg.offset,
                  msg.key, msg.value, msg.timestamp)
    finally:
        # Will leave consumer group; perform autocommit if enabled.
        await consumer.stop()

asyncio.run(consume())

Running tests

Docker is required to run tests. See https://docs.docker.com/engine/installation for installation notes. Also note, that lz4 compression libraries for python will require python-dev package, or python source header files for compilation on Linux. NOTE: You will also need a valid java installation. It’s required for the keytool utility, used to generate ssh keys for some tests.

Setting up tests requirements (assuming you’re within virtualenv on ubuntu 14.04+):

sudo apt-get install -y libsnappy-dev libzstd-dev libkrb5-dev krb5-user
make setup

Running tests with coverage:

make cov

To run tests with a specific version of Kafka (default one is 1.0.2) use KAFKA_VERSION variable:

make cov KAFKA_VERSION=0.10.2.1

Test running cheatsheat:

make test FLAGS="-l -x --ff" - run until 1 failure, rerun failed tests first. Great for cleaning up a lot of errors, say after a big refactor.

make test FLAGS="-k consumer" - run only the consumer tests.

make test FLAGS="-m 'not ssl'" - run tests excluding ssl.

make test FLAGS="--no-pull" - do not try to pull new docker image before test run.

Metadata

Release files for divyanx-aiokafka 0.0.620499

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for divyanx-aiokafka 0.0.620499
File	Size	Uploaded
divyanx_aiokafka-0.0.620499.tar.gz	558.8 kB	Jun 16, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for divyanx-aiokafka 0.0.620499
File	Interpreter	ABI	Platform	Reset
divyanx_aiokafka-0.0.620499-cp39-cp39-macosx_11_0_arm64.whl 353.8 kB Jun 16, 2024	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details

Total release size: 912.6 kB

Release files / divyanx_aiokafka-0.0.620499.tar.gz

Download URL	divyanx_aiokafka-0.0.620499.tar.gz
Size	558.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`293ab3615b84d8e7b38f805c37639e0c68851207eed136d817c836077d73a9ac`
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Upload date	Jun 16, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.0 CPython/3.9.19`

Release files / divyanx_aiokafka-0.0.620499-cp39-cp39-macosx_11_0_arm64.whl

Download URL	divyanx_aiokafka-0.0.620499-cp39-cp39-macosx_11_0_arm64.whl
Size	353.8 kB
Tags	CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`d7dcb92b17c420983c839198ce6a780c1f43daafb9f2503166ea2e44dd1f7ad2`
BLAKE2b-256 checksum How to use checksums	`1ae5291d8767dca3e6368928e8820d729294e314efccfc507f67afe701b0eb47`
Upload date	Jun 16, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.0 CPython/3.9.19`