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
Status
This project is very much alpha. The API is in flux and not all the features are fully implemented.
Tests
Run the unit tests
python -m test.unit
Run the integration tests
First, checkout the Kafka source
git submodule init
git submodule update
cd kafka-src
./sbt update
./sbt package
Then from the root directory, run the integration tests
python -m test.integration
Usage
Send a message to a topic
kafka = KafkaClient("localhost", 9092)
kafka.send_messages_simple("my-topic", "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", "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)