Update README from new docs

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Dana Powers
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Kafka Python client
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>>> pip install kafka-python
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:alt: Full documentation available on ReadTheDocs
kafka-python is a client for the Apache Kafka distributed stream processing
system. It is designed to function much like the official java client, with a
sprinkling of pythonic interfaces (e.g., iterators).
This module provides low-level protocol support for Apache Kafka as well as
high-level consumer and producer classes. Request batching is supported by the
protocol as well as broker-aware request routing. Gzip and Snappy compression
is also supported for message sets.
Coordinated Consumer Group support is under development - see Issue #38.
KafkaConsumer
*************
Full documentation available on `Read the Docs <https://kafka-python.readthedocs.org/en/latest/>`_
>>> from kafka import KafkaConsumer
>>> consumer = KafkaConsumer('my_favorite_topic')
>>> for msg in consumer:
... print (msg)
On Freenode IRC at #kafka-python, as well as #apache-kafka
KafkaConsumer is a full-featured,
high-level message consumer class that is similar in design and function to the
new 0.9 java consumer. Most configuration parameters defined by the official
java client are supported as optional kwargs, with generally similar behavior.
Gzip and Snappy compressed messages are supported transparently.
For general discussion of kafka-client design and implementation (not python specific),
see https://groups.google.com/forum/#!forum/kafka-clients
In addition to the standard KafkaConsumer.poll() interface (which returns
micro-batches of messages, grouped by topic-partition), kafka-python supports
single-message iteration, yielding ConsumerRecord namedtuples, which include
the topic, partition, offset, key, and value of each message.
For information about Apache Kafka generally, see https://kafka.apache.org/
By default, KafkaConsumer will attempt to auto-commit
message offsets every 5 seconds. When used with 0.9 kafka brokers,
KafkaConsumer will dynamically assign partitions using
the kafka GroupCoordinator APIs and a RoundRobinPartitionAssignor
partitioning strategy, enabling relatively straightforward parallel consumption
patterns. See `ReadTheDocs <http://kafka-python.readthedocs.org/master/>`_
for examples.
License
----------
Apache License, v2.0. See `LICENSE <https://github.com/dpkp/kafka-python/blob/master/LICENSE>`_
Copyright 2015, David Arthur, Dana Powers, and Contributors
(See `AUTHORS <https://github.com/dpkp/kafka-python/blob/master/AUTHORS.md>`_)
Status
----------
The current stable version of this package is
`0.9.5 <https://github.com/dpkp/kafka-python/releases/tag/v0.9.5>`_
and is compatible with:
KafkaProducer
*************
Kafka broker versions
<`in progress - see SimpleProducer for legacy producer implementation`>
- 0.9.0.0
- 0.8.2.2
- 0.8.2.1
- 0.8.1.1
- 0.8.1
- 0.8.0
Python versions
Protocol
********
- 3.5 (tested on 3.5.0)
- 3.4 (tested on 3.4.2)
- 3.3 (tested on 3.3.5)
- 2.7 (tested on 2.7.9)
- 2.6 (tested on 2.6.9)
- pypy (tested on pypy 2.5.0 / python 2.7.8)
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 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. See
`ReadTheDocs <http://kafka-python.readthedocs.org/master/>`_ for API details.