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kafka-python
############
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Python client for the Apache Kafka distributed stream processing system.
kafka-python is designed to function much like the official java client, with a
sprinkling of pythonic interfaces (e.g., consumer iterators).
kafka-python is best used with 0.9 brokers, but is backwards-compatible with
older versions (to 0.8.0). Some features will only be enabled on newer brokers,
however; for example, fully coordinated consumer groups -- i.e., dynamic
partition assignment to multiple consumers in the same group -- requires use of
0.9 kafka brokers. Supporting this feature for earlier broker releases would
require writing and maintaining custom leadership election and membership /
health check code (perhaps using zookeeper or consul). For older brokers, you
can achieve something similar by manually assigning different partitions to
each consumer instance with config management tools like chef, ansible, etc.
This approach will work fine, though it does not support rebalancing on
failures. See `Compatibility <compatibility.html>`_ for more details.
Please note that the master branch may contain unreleased features. For release
documentation, please see readthedocs and/or python's inline help.
>>> pip install kafka-python
KafkaConsumer
*************
:class:`~kafka.KafkaConsumer` is a high-level message consumer, intended to
operate as similarly as possible to the official 0.9 java client. Full support
for coordinated consumer groups requires use of kafka brokers that support the
0.9 Group APIs.
See `KafkaConsumer <apidoc/KafkaConsumer.html>`_ for API and configuration details.
The consumer iterator returns ConsumerRecords, which are simple namedtuples
that expose basic message attributes: topic, partition, offset, key, and value:
>>> from kafka import KafkaConsumer
>>> consumer = KafkaConsumer('my_favorite_topic')
>>> for msg in consumer:
... print (msg)
>>> # manually assign the partition list for the consumer
>>> from kafka import TopicPartition
>>> consumer = KafkaConsumer(bootstrap_servers='localhost:1234')
>>> consumer.assign([TopicPartition('foobar', 2)])
>>> msg = next(consumer)
>>> # Deserialize msgpack-encoded values
>>> consumer = KafkaConsumer(value_deserializer=msgpack.loads)
>>> consumer.subscribe(['msgpackfoo'])
>>> for msg in consumer:
... assert isinstance(msg.value, dict)
KafkaProducer
*************
:class:`~kafka.KafkaProducer` is a high-level, asynchronous message producer.
The class is intended to operate as similarly as possible to the official java
client. See `KafkaProducer <apidoc/KafkaProducer.html>`_ for more details.
>>> from kafka import KafkaProducer
>>> producer = KafkaProducer(bootstrap_servers='localhost:1234')
>>> for _ in range(100):
... producer.send('foobar', b'some_message_bytes')
>>> # Block until all pending messages are sent
>>> producer.flush()
>>> # Block until a single message is sent (or timeout)
>>> producer.send('foobar', b'another_message').get(timeout=60)
>>> # Use a key for hashed-partitioning
>>> producer.send('foobar', key=b'foo', value=b'bar')
>>> # Serialize json messages
>>> import json
>>> producer = KafkaProducer(value_serializer=lambda v: json.dumps(v).encode('utf-8'))
>>> producer.send('fizzbuzz', {'foo': 'bar'})
>>> # Serialize string keys
>>> producer = KafkaProducer(key_serializer=str.encode)
>>> producer.send('flipflap', key='ping', value=b'1234')
>>> # Compress messages
>>> producer = KafkaProducer(compression_type='gzip')
>>> for i in range(1000):
... producer.send('foobar', b'msg %d' % i)
Compression
***********
kafka-python supports gzip compression/decompression natively. To produce or
consume lz4 compressed messages, you must install lz4tools and xxhash (modules
may not work on python2.6). To enable snappy, install python-snappy (also
requires snappy library).
See `Installation <install.html#optional-snappy-install>`_ for more information.
Protocol
********
A secondary goal of kafka-python is to provide an easy-to-use protocol layer
for interacting with kafka brokers via the python repl. This is useful for
testing, probing, and general experimentation. The protocol support is
leveraged to enable a :meth:`~kafka.KafkaClient.check_version()`
method that probes a kafka broker and
attempts to identify which version it is running (0.8.0 to 0.9).
Low-level
*********
Legacy support is maintained for low-level consumer and producer classes,
SimpleConsumer and SimpleProducer.
.. toctree::
:hidden:
:maxdepth: 2
Usage Overview <usage>
API </apidoc/modules>
Simple Clients [deprecated] <simple>
install
tests
compatibility
support
license
changelog