openstack/deb-python-kafka
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Merge pull request #282 from wedaly/sphinx-api-docs

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Add Sphinx API docs
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Dana Powers
2015-01-23 09:41:03 -08:00
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.gitignore vendored
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servers/*/kafka-bin servers/*/kafka-bin
.coverage .coverage
.noseids .noseids
docs/_build

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README.md
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[![Build Status](https://api.travis-ci.org/mumrah/kafka-python.png?branch=master)](https://travis-ci.org/mumrah/kafka-python) [![Build Status](https://api.travis-ci.org/mumrah/kafka-python.png?branch=master)](https://travis-ci.org/mumrah/kafka-python)
[Full documentation available on ReadTheDocs](http://kafka-python.readthedocs.org/en/latest/)
This module provides low-level protocol support for Apache Kafka as well as 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 high-level consumer and producer classes. Request batching is supported by the
protocol as well as broker-aware request routing. Gzip and Snappy compression protocol as well as broker-aware request routing. Gzip and Snappy compression
@@ -32,233 +34,3 @@ Python versions
- 2.7 (tested on 2.7.8) - 2.7 (tested on 2.7.8)
- pypy (tested on pypy 2.3.1 / python 2.7.6) - pypy (tested on pypy 2.3.1 / python 2.7.6)
- (Python 3.3 and 3.4 support has been added to trunk and will be available the next release) - (Python 3.3 and 3.4 support has been added to trunk and will be available the next release)
# Usage
## High level
```python
from kafka import KafkaClient, SimpleProducer, SimpleConsumer
# To send messages synchronously
kafka = KafkaClient("localhost:9092")
producer = SimpleProducer(kafka)
# Note that the application is responsible for encoding messages to type str
producer.send_messages("my-topic", "some message")
producer.send_messages("my-topic", "this method", "is variadic")
# Send unicode message
producer.send_messages("my-topic", u'你怎么样?'.encode('utf-8'))
# To send messages asynchronously
# WARNING: current implementation does not guarantee message delivery on failure!
# messages can get dropped! Use at your own risk! Or help us improve with a PR!
producer = SimpleProducer(kafka, async=True)
producer.send_messages("my-topic", "async message")
# To wait for acknowledgements
# ACK_AFTER_LOCAL_WRITE : server will wait till the data is written to
# a local log before sending response
# ACK_AFTER_CLUSTER_COMMIT : server will block until the message is committed
# by all in sync replicas before sending a response
producer = SimpleProducer(kafka, async=False,
req_acks=SimpleProducer.ACK_AFTER_LOCAL_WRITE,
ack_timeout=2000)
response = producer.send_messages("my-topic", "another message")
if response:
print(response[0].error)
print(response[0].offset)
# To send messages in batch. You can use any of the available
# producers 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
# Notes:
# * If the producer dies before the messages are sent, there will be losses
# * Call producer.stop() to send the messages and cleanup
producer = SimpleProducer(kafka, batch_send=True,
batch_send_every_n=20,
batch_send_every_t=60)
# To consume messages
consumer = SimpleConsumer(kafka, "my-group", "my-topic")
for message in consumer:
# message is raw byte string -- decode if necessary!
# e.g., for unicode: `message.decode('utf-8')`
print(message)
kafka.close()
```
## Keyed messages
```python
from kafka import KafkaClient, KeyedProducer, HashedPartitioner, RoundRobinPartitioner
kafka = KafkaClient("localhost:9092")
# HashedPartitioner is default
producer = KeyedProducer(kafka)
producer.send("my-topic", "key1", "some message")
producer.send("my-topic", "key2", "this methode")
producer = KeyedProducer(kafka, partitioner=RoundRobinPartitioner)
```
## Multiprocess consumer
```python
from kafka import KafkaClient, MultiProcessConsumer
kafka = KafkaClient("localhost:9092")
# This will split the number of partitions among two processes
consumer = MultiProcessConsumer(kafka, "my-group", "my-topic", num_procs=2)
# This will spawn processes such that each handles 2 partitions max
consumer = MultiProcessConsumer(kafka, "my-group", "my-topic",
partitions_per_proc=2)
for message in consumer:
print(message)
for message in consumer.get_messages(count=5, block=True, timeout=4):
print(message)
```
## Low level
```python
from kafka import KafkaClient, create_message
from kafka.protocol import KafkaProtocol
from kafka.common import ProduceRequest
kafka = KafkaClient("localhost:9092")
req = ProduceRequest(topic="my-topic", partition=1,
messages=[create_message("some message")])
resps = kafka.send_produce_request(payloads=[req], fail_on_error=True)
kafka.close()
resps[0].topic # "my-topic"
resps[0].partition # 1
resps[0].error # 0 (hopefully)
resps[0].offset # offset of the first message sent in this request
```
# Install
Install with your favorite package manager
## Latest Release
Pip:
```shell
pip install kafka-python
```
Releases are also listed at https://github.com/mumrah/kafka-python/releases
## Bleeding-Edge
```shell
git clone https://github.com/mumrah/kafka-python
pip install ./kafka-python
```
Setuptools:
```shell
git clone https://github.com/mumrah/kafka-python
easy_install ./kafka-python
```
Using `setup.py` directly:
```shell
git clone https://github.com/mumrah/kafka-python
cd kafka-python
python setup.py install
```
## Optional Snappy install
### Install Development Libraries
Download and build Snappy from http://code.google.com/p/snappy/downloads/list
Ubuntu:
```shell
apt-get install libsnappy-dev
```
OSX:
```shell
brew install snappy
```
From Source:
```shell
wget http://snappy.googlecode.com/files/snappy-1.0.5.tar.gz
tar xzvf snappy-1.0.5.tar.gz
cd snappy-1.0.5
./configure
make
sudo make install
```
### Install Python Module
Install the `python-snappy` module
```shell
pip install python-snappy
```
# Tests
## Run the unit tests
```shell
tox
```
## Run a subset of unit tests
```shell
# run protocol tests only
tox -- -v test.test_protocol
```
```shell
# test with pypy only
tox -e pypy
```
```shell
# Run only 1 test, and use python 2.7
tox -e py27 -- -v --with-id --collect-only
# pick a test number from the list like #102
tox -e py27 -- -v --with-id 102
```
## Run the integration tests
The integration tests will actually start up real local Zookeeper
instance and Kafka brokers, and send messages in using the client.
First, get the kafka binaries for integration testing:
```shell
./build_integration.sh
```
By default, the build_integration.sh script will download binary
distributions for all supported kafka versions.
To test against the latest source build, set KAFKA_VERSION=trunk
and optionally set SCALA_VERSION (defaults to 2.8.0, but 2.10.1 is recommended)
```shell
SCALA_VERSION=2.10.1 KAFKA_VERSION=trunk ./build_integration.sh
```
Then run the tests against supported Kafka versions, simply set the `KAFKA_VERSION`
env variable to the server build you want to use for testing:
```shell
KAFKA_VERSION=0.8.0 tox
KAFKA_VERSION=0.8.1 tox
KAFKA_VERSION=0.8.1.1 tox
KAFKA_VERSION=trunk tox
```

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# Makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
PAPER =
BUILDDIR = _build
# User-friendly check for sphinx-build
ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1)
$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/)
endif
# Internal variables.
PAPEROPT_a4 = -D latex_paper_size=a4
PAPEROPT_letter = -D latex_paper_size=letter
ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
# the i18n builder cannot share the environment and doctrees with the others
I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext
help:
@echo "Please use \`make <target>' where <target> is one of"
@echo " html to make standalone HTML files"
@echo " dirhtml to make HTML files named index.html in directories"
@echo " singlehtml to make a single large HTML file"
@echo " pickle to make pickle files"
@echo " json to make JSON files"
@echo " htmlhelp to make HTML files and a HTML help project"
@echo " qthelp to make HTML files and a qthelp project"
@echo " devhelp to make HTML files and a Devhelp project"
@echo " epub to make an epub"
@echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
@echo " latexpdf to make LaTeX files and run them through pdflatex"
@echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx"
@echo " text to make text files"
@echo " man to make manual pages"
@echo " texinfo to make Texinfo files"
@echo " info to make Texinfo files and run them through makeinfo"
@echo " gettext to make PO message catalogs"
@echo " changes to make an overview of all changed/added/deprecated items"
@echo " xml to make Docutils-native XML files"
@echo " pseudoxml to make pseudoxml-XML files for display purposes"
@echo " linkcheck to check all external links for integrity"
@echo " doctest to run all doctests embedded in the documentation (if enabled)"
clean:
rm -rf $(BUILDDIR)/*
html:
$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
dirhtml:
$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml."
singlehtml:
$(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml
@echo
@echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml."
pickle:
$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
@echo
@echo "Build finished; now you can process the pickle files."
json:
$(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json
@echo
@echo "Build finished; now you can process the JSON files."
htmlhelp:
$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp
@echo
@echo "Build finished; now you can run HTML Help Workshop with the" \
".hhp project file in $(BUILDDIR)/htmlhelp."
qthelp:
$(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp
@echo
@echo "Build finished; now you can run "qcollectiongenerator" with the" \
".qhcp project file in $(BUILDDIR)/qthelp, like this:"
@echo "# qcollectiongenerator $(BUILDDIR)/qthelp/kafka-python.qhcp"
@echo "To view the help file:"
@echo "# assistant -collectionFile $(BUILDDIR)/qthelp/kafka-python.qhc"
devhelp:
$(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp
@echo
@echo "Build finished."
@echo "To view the help file:"
@echo "# mkdir -p $$HOME/.local/share/devhelp/kafka-python"
@echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/kafka-python"
@echo "# devhelp"
epub:
$(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub
@echo
@echo "Build finished. The epub file is in $(BUILDDIR)/epub."
latex:
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
@echo
@echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex."
@echo "Run \`make' in that directory to run these through (pdf)latex" \
"(use \`make latexpdf' here to do that automatically)."
latexpdf:
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
@echo "Running LaTeX files through pdflatex..."
$(MAKE) -C $(BUILDDIR)/latex all-pdf
@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
latexpdfja:
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
@echo "Running LaTeX files through platex and dvipdfmx..."
$(MAKE) -C $(BUILDDIR)/latex all-pdf-ja
@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
text:
$(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text
@echo
@echo "Build finished. The text files are in $(BUILDDIR)/text."
man:
$(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man
@echo
@echo "Build finished. The manual pages are in $(BUILDDIR)/man."
texinfo:
$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
@echo
@echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo."
@echo "Run \`make' in that directory to run these through makeinfo" \
"(use \`make info' here to do that automatically)."
info:
$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
@echo "Running Texinfo files through makeinfo..."
make -C $(BUILDDIR)/texinfo info
@echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo."
gettext:
$(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale
@echo
@echo "Build finished. The message catalogs are in $(BUILDDIR)/locale."
changes:
$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
@echo
@echo "The overview file is in $(BUILDDIR)/changes."
linkcheck:
$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
@echo
@echo "Link check complete; look for any errors in the above output " \
"or in $(BUILDDIR)/linkcheck/output.txt."
doctest:
$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
@echo "Testing of doctests in the sources finished, look at the " \
"results in $(BUILDDIR)/doctest/output.txt."
xml:
$(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml
@echo
@echo "Build finished. The XML files are in $(BUILDDIR)/xml."
pseudoxml:
$(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml
@echo
@echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml."

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API Reference
=============
kafka
-----
.. automodule:: kafka.client
:members:
.. automodule:: kafka.codec
:members:
.. automodule:: kafka.common
:members:
.. automodule:: kafka.conn
:members:
.. automodule:: kafka.context
:members:
.. automodule:: kafka.protocol
:members:
.. automodule:: kafka.queue
:members:
.. automodule:: kafka.util
:members:
kafka.consumer
--------------
.. automodule:: kafka.consumer.base
:members:
.. automodule:: kafka.consumer.kafka
:members:
.. automodule:: kafka.consumer.multiprocess
:members:
.. automodule:: kafka.consumer.simple
:members:
kafka.partitioner
-----------------
.. automodule:: kafka.partitioner.base
:members:
.. automodule:: kafka.partitioner.hashed
:members:
.. automodule:: kafka.partitioner.roundrobin
:members:
kafka.producer
--------------
.. automodule:: kafka.producer.base
:members:
.. automodule:: kafka.producer.keyed
:members:
.. automodule:: kafka.producer.simple
:members:

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# -*- coding: utf-8 -*-
#
# kafka-python documentation build configuration file, created by
# sphinx-quickstart on Sun Jan 4 12:21:50 2015.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import sys
import os
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#sys.path.insert(0, os.path.abspath('.'))
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.viewcode',
'sphinxcontrib.napoleon',
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = u'kafka-python'
copyright = u'2015, David Arthur'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
with open('../VERSION') as version_file:
version = version_file.read()
# The full version, including alpha/beta/rc tags.
release = version
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = ['_build']
# The reST default role (used for this markup: `text`) to use for all
# documents.
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
#modindex_common_prefix = []
# If true, keep warnings as "system message" paragraphs in the built documents.
#keep_warnings = False
# -- Options for HTML output ----------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
html_theme = 'default'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
#html_theme_path = []
# The name for this set of Sphinx documents. If None, it defaults to
# "<project> v<release> documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Add any extra paths that contain custom files (such as robots.txt or
# .htaccess) here, relative to this directory. These files are copied
# directly to the root of the documentation.
#html_extra_path = []
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_domain_indices = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#html_use_opensearch = ''
# This is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = None
# Output file base name for HTML help builder.
htmlhelp_basename = 'kafka-pythondoc'
# -- Options for LaTeX output ---------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#'preamble': '',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
('index', 'kafka-python.tex', u'kafka-python Documentation',
u'David Arthur', 'manual'),
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# If true, show page references after internal links.
#latex_show_pagerefs = False
# If true, show URL addresses after external links.
#latex_show_urls = False
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_domain_indices = True
# -- Options for manual page output ---------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
('index', 'kafka-python', u'kafka-python Documentation',
[u'David Arthur'], 1)
]
# If true, show URL addresses after external links.
#man_show_urls = False
# -- Options for Texinfo output -------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
('index', 'kafka-python', u'kafka-python Documentation',
u'David Arthur', 'kafka-python', 'One line description of project.',
'Miscellaneous'),
]
# Documents to append as an appendix to all manuals.
#texinfo_appendices = []
# If false, no module index is generated.
#texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#texinfo_show_urls = 'footnote'
# If true, do not generate a @detailmenu in the "Top" node's menu.
#texinfo_no_detailmenu = False

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kafka-python
============
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.
http://kafka.apache.org/
On Freenode IRC at #kafka-python, as well as #apache-kafka
For general discussion of kafka-client design and implementation (not python specific),
see https://groups.google.com/forum/m/#!forum/kafka-clients
Status
------
The current stable version of this package is `0.9.2 <https://github.com/mumrah/kafka-python/releases/tag/v0.9.2>`_ and is compatible with:
Kafka broker versions
* 0.8.0
* 0.8.1
* 0.8.1.1
Python versions
* 2.6 (tested on 2.6.9)
* 2.7 (tested on 2.7.8)
* pypy (tested on pypy 2.3.1 / python 2.7.6)
* (Python 3.3 and 3.4 support has been added to trunk and will be available the next release)
License
-------
Copyright 2014, David Arthur under Apache License, v2.0. See `LICENSE <https://github.com/mumrah/kafka-python/blob/master/LICENSE>`_.
Contents
--------
.. toctree::
:maxdepth: 2
install
tests
usage
api_reference
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`

79
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@@ -0,0 +1,79 @@
Install
=======
Install with your favorite package manager
Latest Release
--------------
Pip:
.. code:: bash
pip install kafka-python
Releases are also listed at https://github.com/mumrah/kafka-python/releases
Bleeding-Edge
-------------
.. code:: bash
git clone https://github.com/mumrah/kafka-python
pip install ./kafka-python
Setuptools:
.. code:: bash
git clone https://github.com/mumrah/kafka-python
easy_install ./kafka-python
Using `setup.py` directly:
.. code:: bash
git clone https://github.com/mumrah/kafka-python
cd kafka-python
python setup.py install
Optional Snappy install
-----------------------
Install Development Libraries
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Download and build Snappy from http://code.google.com/p/snappy/downloads/list
Ubuntu:
.. code:: bash
apt-get install libsnappy-dev
OSX:
.. code:: bash
brew install snappy
From Source:
.. code:: bash
wget http://snappy.googlecode.com/files/snappy-1.0.5.tar.gz
tar xzvf snappy-1.0.5.tar.gz
cd snappy-1.0.5
./configure
make
sudo make install
Install Python Module
^^^^^^^^^^^^^^^^^^^^^
Install the `python-snappy` module
.. code:: bash
pip install python-snappy

242
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@@ -0,0 +1,242 @@
@ECHO OFF
REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set BUILDDIR=_build
set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% .
set I18NSPHINXOPTS=%SPHINXOPTS% .
if NOT "%PAPER%" == "" (
set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS%
set I18NSPHINXOPTS=-D latex_paper_size=%PAPER% %I18NSPHINXOPTS%
)
if "%1" == "" goto help
if "%1" == "help" (
:help
echo.Please use `make ^<target^>` where ^<target^> is one of
echo. html to make standalone HTML files
echo. dirhtml to make HTML files named index.html in directories
echo. singlehtml to make a single large HTML file
echo. pickle to make pickle files
echo. json to make JSON files
echo. htmlhelp to make HTML files and a HTML help project
echo. qthelp to make HTML files and a qthelp project
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echo. epub to make an epub
echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter
echo. text to make text files
echo. man to make manual pages
echo. texinfo to make Texinfo files
echo. gettext to make PO message catalogs
echo. changes to make an overview over all changed/added/deprecated items
echo. xml to make Docutils-native XML files
echo. pseudoxml to make pseudoxml-XML files for display purposes
echo. linkcheck to check all external links for integrity
echo. doctest to run all doctests embedded in the documentation if enabled
goto end
)
if "%1" == "clean" (
for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i
del /q /s %BUILDDIR%\*
goto end
)
%SPHINXBUILD% 2> nul
if errorlevel 9009 (
echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
echo.installed, then set the SPHINXBUILD environment variable to point
echo.to the full path of the 'sphinx-build' executable. Alternatively you
echo.may add the Sphinx directory to PATH.
echo.
echo.If you don't have Sphinx installed, grab it from
echo.http://sphinx-doc.org/
exit /b 1
)
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%SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html
if errorlevel 1 exit /b 1
echo.
echo.Build finished. The HTML pages are in %BUILDDIR%/html.
goto end
)
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if errorlevel 1 exit /b 1
echo.
echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml.
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)
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if errorlevel 1 exit /b 1
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echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml.
goto end
)
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%SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle
if errorlevel 1 exit /b 1
echo.
echo.Build finished; now you can process the pickle files.
goto end
)
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%SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json
if errorlevel 1 exit /b 1
echo.
echo.Build finished; now you can process the JSON files.
goto end
)
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%SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp
if errorlevel 1 exit /b 1
echo.
echo.Build finished; now you can run HTML Help Workshop with the ^
.hhp project file in %BUILDDIR%/htmlhelp.
goto end
)
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%SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp
if errorlevel 1 exit /b 1
echo.
echo.Build finished; now you can run "qcollectiongenerator" with the ^
.qhcp project file in %BUILDDIR%/qthelp, like this:
echo.^> qcollectiongenerator %BUILDDIR%\qthelp\kafka-python.qhcp
echo.To view the help file:
echo.^> assistant -collectionFile %BUILDDIR%\qthelp\kafka-python.ghc
goto end
)
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%SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp
if errorlevel 1 exit /b 1
echo.
echo.Build finished.
goto end
)
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%SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub
if errorlevel 1 exit /b 1
echo.
echo.Build finished. The epub file is in %BUILDDIR%/epub.
goto end
)
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if errorlevel 1 exit /b 1
echo.
echo.Build finished; the LaTeX files are in %BUILDDIR%/latex.
goto end
)
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%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
cd %BUILDDIR%/latex
make all-pdf
cd %BUILDDIR%/..
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echo.Build finished; the PDF files are in %BUILDDIR%/latex.
goto end
)
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%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
cd %BUILDDIR%/latex
make all-pdf-ja
cd %BUILDDIR%/..
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goto end
)
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%SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text
if errorlevel 1 exit /b 1
echo.
echo.Build finished. The text files are in %BUILDDIR%/text.
goto end
)
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if errorlevel 1 exit /b 1
echo.
echo.Build finished. The manual pages are in %BUILDDIR%/man.
goto end
)
if "%1" == "texinfo" (
%SPHINXBUILD% -b texinfo %ALLSPHINXOPTS% %BUILDDIR%/texinfo
if errorlevel 1 exit /b 1
echo.
echo.Build finished. The Texinfo files are in %BUILDDIR%/texinfo.
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if errorlevel 1 exit /b 1
echo.
echo.Build finished. The message catalogs are in %BUILDDIR%/locale.
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if errorlevel 1 exit /b 1
echo.
echo.The overview file is in %BUILDDIR%/changes.
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)
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%SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck
if errorlevel 1 exit /b 1
echo.
echo.Link check complete; look for any errors in the above output ^
or in %BUILDDIR%/linkcheck/output.txt.
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)
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%SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest
if errorlevel 1 exit /b 1
echo.
echo.Testing of doctests in the sources finished, look at the ^
results in %BUILDDIR%/doctest/output.txt.
goto end
)
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%SPHINXBUILD% -b xml %ALLSPHINXOPTS% %BUILDDIR%/xml
if errorlevel 1 exit /b 1
echo.
echo.Build finished. The XML files are in %BUILDDIR%/xml.
goto end
)
if "%1" == "pseudoxml" (
%SPHINXBUILD% -b pseudoxml %ALLSPHINXOPTS% %BUILDDIR%/pseudoxml
if errorlevel 1 exit /b 1
echo.
echo.Build finished. The pseudo-XML files are in %BUILDDIR%/pseudoxml.
goto end
)
:end

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docs/requirements.txt Normal file
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@@ -0,0 +1,7 @@
sphinx
sphinxcontrib-napoleon
# Install kafka-python in editable mode
# This allows the sphinx autodoc module
# to load the Python modules and extract docstrings.
-e ..

59
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@@ -0,0 +1,59 @@
Tests
=====
Run the unit tests
------------------
.. code:: bash
tox
Run a subset of unit tests
--------------------------
.. code:: bash
# run protocol tests only
tox -- -v test.test_protocol
# test with pypy only
tox -e pypy
# Run only 1 test, and use python 2.7
tox -e py27 -- -v --with-id --collect-only
# pick a test number from the list like #102
tox -e py27 -- -v --with-id 102
Run the integration tests
-------------------------
The integration tests will actually start up real local Zookeeper
instance and Kafka brokers, and send messages in using the client.
First, get the kafka binaries for integration testing:
.. code:: bash
./build_integration.sh
By default, the build_integration.sh script will download binary
distributions for all supported kafka versions.
To test against the latest source build, set KAFKA_VERSION=trunk
and optionally set SCALA_VERSION (defaults to 2.8.0, but 2.10.1 is recommended)
.. code:: bash
SCALA_VERSION=2.10.1 KAFKA_VERSION=trunk ./build_integration.sh
Then run the tests against supported Kafka versions, simply set the `KAFKA_VERSION`
env variable to the server build you want to use for testing:
.. code:: bash
KAFKA_VERSION=0.8.0 tox
KAFKA_VERSION=0.8.1 tox
KAFKA_VERSION=0.8.1.1 tox
KAFKA_VERSION=trunk tox

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Usage
=====
High level
----------
.. code:: python
from kafka import KafkaClient, SimpleProducer, SimpleConsumer
# To send messages synchronously
kafka = KafkaClient("localhost:9092")
producer = SimpleProducer(kafka)
# Note that the application is responsible for encoding messages to type str
producer.send_messages("my-topic", "some message")
producer.send_messages("my-topic", "this method", "is variadic")
# Send unicode message
producer.send_messages("my-topic", u'你怎么样?'.encode('utf-8'))
# To send messages asynchronously
# WARNING: current implementation does not guarantee message delivery on failure!
# messages can get dropped! Use at your own risk! Or help us improve with a PR!
producer = SimpleProducer(kafka, async=True)
producer.send_messages("my-topic", "async message")
# To wait for acknowledgements
# ACK_AFTER_LOCAL_WRITE : server will wait till the data is written to
# a local log before sending response
# ACK_AFTER_CLUSTER_COMMIT : server will block until the message is committed
# by all in sync replicas before sending a response
producer = SimpleProducer(kafka, async=False,
req_acks=SimpleProducer.ACK_AFTER_LOCAL_WRITE,
ack_timeout=2000)
response = producer.send_messages("my-topic", "another message")
if response:
print(response[0].error)
print(response[0].offset)
# To send messages in batch. You can use any of the available
# producers 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
# Notes:
# * If the producer dies before the messages are sent, there will be losses
# * Call producer.stop() to send the messages and cleanup
producer = SimpleProducer(kafka, batch_send=True,
batch_send_every_n=20,
batch_send_every_t=60)
# To consume messages
consumer = SimpleConsumer(kafka, "my-group", "my-topic")
for message in consumer:
# message is raw byte string -- decode if necessary!
# e.g., for unicode: `message.decode('utf-8')`
print(message)
kafka.close()
Keyed messages
--------------
.. code:: python
from kafka import KafkaClient, KeyedProducer, HashedPartitioner, RoundRobinPartitioner
kafka = KafkaClient("localhost:9092")
# HashedPartitioner is default
producer = KeyedProducer(kafka)
producer.send("my-topic", "key1", "some message")
producer.send("my-topic", "key2", "this methode")
producer = KeyedProducer(kafka, partitioner=RoundRobinPartitioner)
Multiprocess consumer
---------------------
.. code:: python
from kafka import KafkaClient, MultiProcessConsumer
kafka = KafkaClient("localhost:9092")
# This will split the number of partitions among two processes
consumer = MultiProcessConsumer(kafka, "my-group", "my-topic", num_procs=2)
# This will spawn processes such that each handles 2 partitions max
consumer = MultiProcessConsumer(kafka, "my-group", "my-topic",
partitions_per_proc=2)
for message in consumer:
print(message)
for message in consumer.get_messages(count=5, block=True, timeout=4):
print(message)
Low level
---------
.. code:: python
from kafka import KafkaClient, create_message
from kafka.protocol import KafkaProtocol
from kafka.common import ProduceRequest
kafka = KafkaClient("localhost:9092")
req = ProduceRequest(topic="my-topic", partition=1,
messages=[create_message("some message")])
resps = kafka.send_produce_request(payloads=[req], fail_on_error=True)
kafka.close()
resps[0].topic # "my-topic"
resps[0].partition # 1
resps[0].error # 0 (hopefully)
resps[0].offset # offset of the first message sent in this request

52
kafka/client.py
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@@ -131,19 +131,21 @@ class KafkaClient(object):
the leader broker for that partition using the supplied encode/decode the leader broker for that partition using the supplied encode/decode
functions functions
Params Arguments:
======
payloads: list of object-like entities with a topic (str) and payloads: list of object-like entities with a topic (str) and
partition (int) attribute partition (int) attribute
encode_fn: a method to encode the list of payloads to a request body,
must accept client_id, correlation_id, and payloads as encode_fn: a method to encode the list of payloads to a request body,
keyword arguments must accept client_id, correlation_id, and payloads as
decode_fn: a method to decode a response body into response objects. keyword arguments
The response objects must be object-like and have topic
and partition attributes decode_fn: a method to decode a response body into response objects.
The response objects must be object-like and have topic
and partition attributes
Returns:
Return
======
List of response objects in the same order as the supplied payloads List of response objects in the same order as the supplied payloads
""" """
@@ -285,9 +287,9 @@ class KafkaClient(object):
This method should be called after receiving any error This method should be called after receiving any error
@param: *topics (optional) Arguments:
If a list of topics is provided, the metadata refresh will be limited *topics (optional): If a list of topics is provided,
to the specified topics only. the metadata refresh will be limited to the specified topics only.
Exceptions: Exceptions:
---------- ----------
@@ -384,18 +386,16 @@ class KafkaClient(object):
sent to a specific broker. Output is a list of responses in the sent to a specific broker. Output is a list of responses in the
same order as the list of payloads specified same order as the list of payloads specified
Params Arguments:
====== payloads: list of ProduceRequest
payloads: list of ProduceRequest fail_on_error: boolean, should we raise an Exception if we
fail_on_error: boolean, should we raise an Exception if we encounter an API error?
encounter an API error? callback: function, instead of returning the ProduceResponse,
callback: function, instead of returning the ProduceResponse, first pass it through this function
first pass it through this function
Return Returns:
====== list of ProduceResponse or callback(ProduceResponse), in the
list of ProduceResponse or callback(ProduceResponse), in the order of input payloads
order of input payloads
""" """
encoder = functools.partial( encoder = functools.partial(

23
kafka/conn.py
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@@ -47,10 +47,11 @@ class KafkaConnection(local):
we can do something in here to facilitate multiplexed requests/responses we can do something in here to facilitate multiplexed requests/responses
since the Kafka API includes a correlation id. since the Kafka API includes a correlation id.
host: the host name or IP address of a kafka broker Arguments:
port: the port number the kafka broker is listening on host: the host name or IP address of a kafka broker
timeout: default 120. The socket timeout for sending and receiving data port: the port number the kafka broker is listening on
in seconds. None means no timeout, so a request can block forever. timeout: default 120. The socket timeout for sending and receiving data
in seconds. None means no timeout, so a request can block forever.
""" """
def __init__(self, host, port, timeout=DEFAULT_SOCKET_TIMEOUT_SECONDS): def __init__(self, host, port, timeout=DEFAULT_SOCKET_TIMEOUT_SECONDS):
super(KafkaConnection, self).__init__() super(KafkaConnection, self).__init__()
@@ -116,8 +117,10 @@ class KafkaConnection(local):
def send(self, request_id, payload): def send(self, request_id, payload):
""" """
Send a request to Kafka Send a request to Kafka
param: request_id -- can be any int (used only for debug logging...)
param: payload -- an encoded kafka packet (see KafkaProtocol) Arguments::
request_id (int): can be any int (used only for debug logging...)
payload: an encoded kafka packet (see KafkaProtocol)
""" """
log.debug("About to send %d bytes to Kafka, request %d" % (len(payload), request_id)) log.debug("About to send %d bytes to Kafka, request %d" % (len(payload), request_id))
@@ -135,8 +138,12 @@ class KafkaConnection(local):
def recv(self, request_id): def recv(self, request_id):
""" """
Get a response packet from Kafka Get a response packet from Kafka
param: request_id -- can be any int (only used for debug logging...)
returns encoded kafka packet response from server as type str Arguments:
request_id: can be any int (only used for debug logging...)
Returns:
str: Encoded kafka packet response from server
""" """
log.debug("Reading response %d from Kafka" % request_id) log.debug("Reading response %d from Kafka" % request_id)

10
kafka/consumer/base.py
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@@ -32,9 +32,11 @@ class Consumer(object):
Base class to be used by other consumers. Not to be used directly Base class to be used by other consumers. Not to be used directly
This base class provides logic for This base class provides logic for
* initialization and fetching metadata of partitions * initialization and fetching metadata of partitions
* Auto-commit logic * Auto-commit logic
* APIs for fetching pending message count * APIs for fetching pending message count
""" """
def __init__(self, client, group, topic, partitions=None, auto_commit=True, def __init__(self, client, group, topic, partitions=None, auto_commit=True,
auto_commit_every_n=AUTO_COMMIT_MSG_COUNT, auto_commit_every_n=AUTO_COMMIT_MSG_COUNT,
@@ -93,8 +95,9 @@ class Consumer(object):
""" """
Commit offsets for this consumer Commit offsets for this consumer
partitions: list of partitions to commit, default is to commit Keyword Arguments:
all of them partitions (list): list of partitions to commit, default is to commit
all of them
""" """
# short circuit if nothing happened. This check is kept outside # short circuit if nothing happened. This check is kept outside
@@ -148,7 +151,8 @@ class Consumer(object):
""" """
Gets the pending message count Gets the pending message count
partitions: list of partitions to check for, default is to check all Keyword Arguments:
partitions (list): list of partitions to check for, default is to check all
""" """
if not partitions: if not partitions:
partitions = self.offsets.keys() partitions = self.offsets.keys()

210
kafka/consumer/kafka.py
View File

@@ -54,72 +54,78 @@ class KafkaConsumer(object):
""" """
A simpler kafka consumer A simpler kafka consumer
``` .. code:: python
# A very basic 'tail' consumer, with no stored offset management
kafka = KafkaConsumer('topic1')
for m in kafka:
print m
# Alternate interface: next() # A very basic 'tail' consumer, with no stored offset management
print kafka.next() kafka = KafkaConsumer('topic1')
for m in kafka:
print m
# Alternate interface: batch iteration # Alternate interface: next()
while True: print kafka.next()
for m in kafka.fetch_messages():
print m
print "Done with batch - let's do another!"
```
``` # Alternate interface: batch iteration
# more advanced consumer -- multiple topics w/ auto commit offset management while True:
kafka = KafkaConsumer('topic1', 'topic2', for m in kafka.fetch_messages():
group_id='my_consumer_group', print m
auto_commit_enable=True, print "Done with batch - let's do another!"
auto_commit_interval_ms=30 * 1000,
auto_offset_reset='smallest')
# Infinite iteration
for m in kafka:
process_message(m)
kafka.task_done(m)
# Alternate interface: next() .. code:: python
m = kafka.next()
process_message(m)
kafka.task_done(m)
# If auto_commit_enable is False, remember to commit() periodically # more advanced consumer -- multiple topics w/ auto commit offset management
kafka.commit() kafka = KafkaConsumer('topic1', 'topic2',
group_id='my_consumer_group',
auto_commit_enable=True,
auto_commit_interval_ms=30 * 1000,
auto_offset_reset='smallest')
# Batch process interface # Infinite iteration
while True: for m in kafka:
for m in kafka.fetch_messages(): process_message(m)
kafka.task_done(m)
# Alternate interface: next()
m = kafka.next()
process_message(m) process_message(m)
kafka.task_done(m) kafka.task_done(m)
```
# If auto_commit_enable is False, remember to commit() periodically
kafka.commit()
# Batch process interface
while True:
for m in kafka.fetch_messages():
process_message(m)
kafka.task_done(m)
messages (m) are namedtuples with attributes: messages (m) are namedtuples with attributes:
m.topic: topic name (str)
m.partition: partition number (int) * `m.topic`: topic name (str)
m.offset: message offset on topic-partition log (int) * `m.partition`: partition number (int)
m.key: key (bytes - can be None) * `m.offset`: message offset on topic-partition log (int)
m.value: message (output of deserializer_class - default is raw bytes) * `m.key`: key (bytes - can be None)
* `m.value`: message (output of deserializer_class - default is raw bytes)
Configuration settings can be passed to constructor, Configuration settings can be passed to constructor,
otherwise defaults will be used: otherwise defaults will be used:
client_id='kafka.consumer.kafka',
group_id=None, .. code:: python
fetch_message_max_bytes=1024*1024,
fetch_min_bytes=1, client_id='kafka.consumer.kafka',
fetch_wait_max_ms=100, group_id=None,
refresh_leader_backoff_ms=200, fetch_message_max_bytes=1024*1024,
metadata_broker_list=None, fetch_min_bytes=1,
socket_timeout_ms=30*1000, fetch_wait_max_ms=100,
auto_offset_reset='largest', refresh_leader_backoff_ms=200,
deserializer_class=lambda msg: msg, metadata_broker_list=None,
auto_commit_enable=False, socket_timeout_ms=30*1000,
auto_commit_interval_ms=60 * 1000, auto_offset_reset='largest',
consumer_timeout_ms=-1 deserializer_class=lambda msg: msg,
auto_commit_enable=False,
auto_commit_interval_ms=60 * 1000,
consumer_timeout_ms=-1
Configuration parameters are described in more detail at Configuration parameters are described in more detail at
http://kafka.apache.org/documentation.html#highlevelconsumerapi http://kafka.apache.org/documentation.html#highlevelconsumerapi
@@ -133,6 +139,9 @@ class KafkaConsumer(object):
""" """
Configuration settings can be passed to constructor, Configuration settings can be passed to constructor,
otherwise defaults will be used: otherwise defaults will be used:
.. code:: python
client_id='kafka.consumer.kafka', client_id='kafka.consumer.kafka',
group_id=None, group_id=None,
fetch_message_max_bytes=1024*1024, fetch_message_max_bytes=1024*1024,
@@ -189,28 +198,35 @@ class KafkaConsumer(object):
Optionally specify offsets to start from Optionally specify offsets to start from
Accepts types: Accepts types:
str (utf-8): topic name (will consume all available partitions)
tuple: (topic, partition) * str (utf-8): topic name (will consume all available partitions)
dict: { topic: partition } * tuple: (topic, partition)
{ topic: [partition list] } * dict:
{ topic: (partition tuple,) } - { topic: partition }
- { topic: [partition list] }
- { topic: (partition tuple,) }
Optionally, offsets can be specified directly: Optionally, offsets can be specified directly:
tuple: (topic, partition, offset)
dict: { (topic, partition): offset, ... }
Ex: * tuple: (topic, partition, offset)
kafka = KafkaConsumer() * dict: { (topic, partition): offset, ... }
# Consume topic1-all; topic2-partition2; topic3-partition0 Example:
kafka.set_topic_partitions("topic1", ("topic2", 2), {"topic3": 0})
# Consume topic1-0 starting at offset 123, and topic2-1 at offset 456 .. code:: python
# using tuples --
kafka.set_topic_partitions(("topic1", 0, 123), ("topic2", 1, 456)) kafka = KafkaConsumer()
# Consume topic1-all; topic2-partition2; topic3-partition0
kafka.set_topic_partitions("topic1", ("topic2", 2), {"topic3": 0})
# Consume topic1-0 starting at offset 123, and topic2-1 at offset 456
# using tuples --
kafka.set_topic_partitions(("topic1", 0, 123), ("topic2", 1, 456))
# using dict --
kafka.set_topic_partitions({ ("topic1", 0): 123, ("topic2", 1): 456 })
# using dict --
kafka.set_topic_partitions({ ("topic1", 0): 123, ("topic2", 1): 456 })
""" """
self._topics = [] self._topics = []
self._client.load_metadata_for_topics() self._client.load_metadata_for_topics()
@@ -309,10 +325,12 @@ class KafkaConsumer(object):
Otherwise blocks indefinitely Otherwise blocks indefinitely
Note that this is also the method called internally during iteration: Note that this is also the method called internally during iteration:
```
for m in consumer: .. code:: python
pass
``` for m in consumer:
pass
""" """
self._set_consumer_timeout_start() self._set_consumer_timeout_start()
while True: while True:
@@ -336,11 +354,12 @@ class KafkaConsumer(object):
OffsetOutOfRange, per the configured `auto_offset_reset` policy OffsetOutOfRange, per the configured `auto_offset_reset` policy
Key configuration parameters: Key configuration parameters:
`fetch_message_max_bytes`
`fetch_max_wait_ms` * `fetch_message_max_bytes`
`fetch_min_bytes` * `fetch_max_wait_ms`
`deserializer_class` * `fetch_min_bytes`
`auto_offset_reset` * `deserializer_class`
* `auto_offset_reset`
""" """
max_bytes = self._config['fetch_message_max_bytes'] max_bytes = self._config['fetch_message_max_bytes']
@@ -418,20 +437,18 @@ class KafkaConsumer(object):
""" """
Request available fetch offsets for a single topic/partition Request available fetch offsets for a single topic/partition
@param topic (str) Arguments:
@param partition (int) topic (str)
@param request_time_ms (int) -- Used to ask for all messages before a partition (int)
certain time (ms). There are two special request_time_ms (int): Used to ask for all messages before a
values. Specify -1 to receive the latest certain time (ms). There are two special values. Specify -1 to receive the latest
offset (i.e. the offset of the next coming offset (i.e. the offset of the next coming message) and -2 to receive the earliest
message) and -2 to receive the earliest available offset. Note that because offsets are pulled in descending order, asking for
available offset. Note that because offsets the earliest offset will always return you a single element.
are pulled in descending order, asking for max_num_offsets (int)
the earliest offset will always return you
a single element.
@param max_num_offsets (int)
@return offsets (list) Returns:
offsets (list)
""" """
reqs = [OffsetRequest(topic, partition, request_time_ms, max_num_offsets)] reqs = [OffsetRequest(topic, partition, request_time_ms, max_num_offsets)]
@@ -448,9 +465,12 @@ class KafkaConsumer(object):
def offsets(self, group=None): def offsets(self, group=None):
""" """
Returns a copy of internal offsets struct Keyword Arguments:
optional param: group [fetch|commit|task_done|highwater] group: Either "fetch", "commit", "task_done", or "highwater".
if no group specified, returns all groups If no group specified, returns all groups.
Returns:
A copy of internal offsets struct
""" """
if not group: if not group:
return { return {
@@ -498,8 +518,8 @@ class KafkaConsumer(object):
Store consumed message offsets (marked via task_done()) Store consumed message offsets (marked via task_done())
to kafka cluster for this consumer_group. to kafka cluster for this consumer_group.
Note -- this functionality requires server version >=0.8.1.1 **Note**: this functionality requires server version >=0.8.1.1
see https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol#AGuideToTheKafkaProtocol-OffsetCommit/FetchAPI See `this wiki page <https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol#AGuideToTheKafkaProtocol-OffsetCommit/FetchAPI>`_.
""" """
if not self._config['group_id']: if not self._config['group_id']:
logger.warning('Cannot commit without a group_id!') logger.warning('Cannot commit without a group_id!')

37
kafka/consumer/multiprocess.py
View File

@@ -80,19 +80,21 @@ class MultiProcessConsumer(Consumer):
A consumer implementation that consumes partitions for a topic in A consumer implementation that consumes partitions for a topic in
parallel using multiple processes parallel using multiple processes
client: a connected KafkaClient Arguments:
group: a name for this consumer, used for offset storage and must be unique client: a connected KafkaClient
topic: the topic to consume group: a name for this consumer, used for offset storage and must be unique
topic: the topic to consume
auto_commit: default True. Whether or not to auto commit the offsets Keyword Arguments:
auto_commit_every_n: default 100. How many messages to consume auto_commit: default True. Whether or not to auto commit the offsets
before a commit auto_commit_every_n: default 100. How many messages to consume
auto_commit_every_t: default 5000. How much time (in milliseconds) to before a commit
wait before commit auto_commit_every_t: default 5000. How much time (in milliseconds) to
num_procs: Number of processes to start for consuming messages. wait before commit
The available partitions will be divided among these processes num_procs: Number of processes to start for consuming messages.
partitions_per_proc: Number of partitions to be allocated per process The available partitions will be divided among these processes
(overrides num_procs) partitions_per_proc: Number of partitions to be allocated per process
(overrides num_procs)
Auto commit details: Auto commit details:
If both auto_commit_every_n and auto_commit_every_t are set, they will If both auto_commit_every_n and auto_commit_every_t are set, they will
@@ -198,11 +200,12 @@ class MultiProcessConsumer(Consumer):
""" """
Fetch the specified number of messages Fetch the specified number of messages
count: Indicates the maximum number of messages to be fetched Keyword Arguments:
block: If True, the API will block till some messages are fetched. count: Indicates the maximum number of messages to be fetched
timeout: If block is True, the function will block for the specified block: If True, the API will block till some messages are fetched.
time (in seconds) until count messages is fetched. If None, timeout: If block is True, the function will block for the specified
it will block forever. time (in seconds) until count messages is fetched. If None,
it will block forever.
""" """
messages = [] messages = []

65
kafka/consumer/simple.py
View File

@@ -67,24 +67,32 @@ class SimpleConsumer(Consumer):
A simple consumer implementation that consumes all/specified partitions A simple consumer implementation that consumes all/specified partitions
for a topic for a topic
client: a connected KafkaClient Arguments:
group: a name for this consumer, used for offset storage and must be unique client: a connected KafkaClient
topic: the topic to consume group: a name for this consumer, used for offset storage and must be unique
partitions: An optional list of partitions to consume the data from topic: the topic to consume
auto_commit: default True. Whether or not to auto commit the offsets Keyword Arguments:
auto_commit_every_n: default 100. How many messages to consume partitions: An optional list of partitions to consume the data from
before a commit
auto_commit_every_t: default 5000. How much time (in milliseconds) to auto_commit: default True. Whether or not to auto commit the offsets
wait before commit
fetch_size_bytes: number of bytes to request in a FetchRequest auto_commit_every_n: default 100. How many messages to consume
buffer_size: default 4K. Initial number of bytes to tell kafka we before a commit
have available. This will double as needed.
max_buffer_size: default 16K. Max number of bytes to tell kafka we have auto_commit_every_t: default 5000. How much time (in milliseconds) to
available. None means no limit. wait before commit
iter_timeout: default None. How much time (in seconds) to wait for a fetch_size_bytes: number of bytes to request in a FetchRequest
message in the iterator before exiting. None means no
timeout, so it will wait forever. buffer_size: default 4K. Initial number of bytes to tell kafka we
have available. This will double as needed.
max_buffer_size: default 16K. Max number of bytes to tell kafka we have
available. None means no limit.
iter_timeout: default None. How much time (in seconds) to wait for a
message in the iterator before exiting. None means no
timeout, so it will wait forever.
Auto commit details: Auto commit details:
If both auto_commit_every_n and auto_commit_every_t are set, they will If both auto_commit_every_n and auto_commit_every_t are set, they will
@@ -133,11 +141,13 @@ class SimpleConsumer(Consumer):
""" """
Alter the current offset in the consumer, similar to fseek Alter the current offset in the consumer, similar to fseek
offset: how much to modify the offset Arguments:
whence: where to modify it from offset: how much to modify the offset
0 is relative to the earliest available offset (head) whence: where to modify it from
1 is relative to the current offset
2 is relative to the latest known offset (tail) * 0 is relative to the earliest available offset (head)
* 1 is relative to the current offset
* 2 is relative to the latest known offset (tail)
""" """
if whence == 1: # relative to current position if whence == 1: # relative to current position
@@ -180,11 +190,12 @@ class SimpleConsumer(Consumer):
""" """
Fetch the specified number of messages Fetch the specified number of messages
count: Indicates the maximum number of messages to be fetched Keyword Arguments:
block: If True, the API will block till some messages are fetched. count: Indicates the maximum number of messages to be fetched
timeout: If block is True, the function will block for the specified block: If True, the API will block till some messages are fetched.
time (in seconds) until count messages is fetched. If None, timeout: If block is True, the function will block for the specified
it will block forever. time (in seconds) until count messages is fetched. If None,
it will block forever.
""" """
messages = [] messages = []
if timeout is not None: if timeout is not None:

5
kafka/context.py
View File

@@ -18,6 +18,8 @@ class OffsetCommitContext(object):
Example: Example:
.. code:: python
consumer = SimpleConsumer(client, group, topic, auto_commit=False) consumer = SimpleConsumer(client, group, topic, auto_commit=False)
consumer.provide_partition_info() consumer.provide_partition_info()
consumer.fetch_last_known_offsets() consumer.fetch_last_known_offsets()
@@ -57,7 +59,10 @@ class OffsetCommitContext(object):
In order to know the current partition, it is helpful to initialize In order to know the current partition, it is helpful to initialize
the consumer to provide partition info via: the consumer to provide partition info via:
.. code:: python
consumer.provide_partition_info() consumer.provide_partition_info()
""" """
max_offset = max(offset + 1, self.high_water_mark.get(partition, 0)) max_offset = max(offset + 1, self.high_water_mark.get(partition, 0))

10
kafka/partitioner/base.py
View File

@@ -7,7 +7,8 @@ class Partitioner(object):
""" """
Initialize the partitioner Initialize the partitioner
partitions - A list of available partitions (during startup) Arguments:
partitions: A list of available partitions (during startup)
""" """
self.partitions = partitions self.partitions = partitions
@@ -16,8 +17,9 @@ class Partitioner(object):
Takes a string key and num_partitions as argument and returns Takes a string key and num_partitions as argument and returns
a partition to be used for the message a partition to be used for the message
partitions - The list of partitions is passed in every call. This Arguments:
may look like an overhead, but it will be useful partitions: The list of partitions is passed in every call. This
(in future) when we handle cases like rebalancing may look like an overhead, but it will be useful
(in future) when we handle cases like rebalancing
""" """
raise NotImplementedError('partition function has to be implemented') raise NotImplementedError('partition function has to be implemented')

20
kafka/producer/base.py
View File

@@ -85,20 +85,20 @@ class Producer(object):
""" """
Base class to be used by producers Base class to be used by producers
Params: Arguments:
client - The Kafka client instance to use client: The Kafka client instance to use
async - If set to true, the messages are sent asynchronously via another async: If set to true, the messages are sent asynchronously via another
thread (process). We will not wait for a response to these thread (process). We will not wait for a response to these
WARNING!!! current implementation of async producer does not WARNING!!! current implementation of async producer does not
guarantee message delivery. Use at your own risk! Or help us guarantee message delivery. Use at your own risk! Or help us
improve with a PR! improve with a PR!
req_acks - A value indicating the acknowledgements that the server must req_acks: A value indicating the acknowledgements that the server must
receive before responding to the request receive before responding to the request
ack_timeout - Value (in milliseconds) indicating a timeout for waiting ack_timeout: Value (in milliseconds) indicating a timeout for waiting
for an acknowledgement for an acknowledgement
batch_send - If True, messages are send in batches batch_send: If True, messages are send in batches
batch_send_every_n - If set, messages are send in batches of this size batch_send_every_n: If set, messages are send in batches of this size
batch_send_every_t - If set, messages are send after this timeout batch_send_every_t: If set, messages are send after this timeout
""" """
ACK_NOT_REQUIRED = 0 # No ack is required ACK_NOT_REQUIRED = 0 # No ack is required

22
kafka/producer/keyed.py
View File

@@ -15,17 +15,19 @@ class KeyedProducer(Producer):
""" """
A producer which distributes messages to partitions based on the key A producer which distributes messages to partitions based on the key
Args: Arguments:
client - The kafka client instance client: The kafka client instance
partitioner - A partitioner class that will be used to get the partition
to send the message to. Must be derived from Partitioner Keyword Arguments:
async - If True, the messages are sent asynchronously via another partitioner: A partitioner class that will be used to get the partition
to send the message to. Must be derived from Partitioner
async: If True, the messages are sent asynchronously via another
thread (process). We will not wait for a response to these thread (process). We will not wait for a response to these
ack_timeout - Value (in milliseconds) indicating a timeout for waiting ack_timeout: Value (in milliseconds) indicating a timeout for waiting
for an acknowledgement for an acknowledgement
batch_send - If True, messages are send in batches batch_send: If True, messages are send in batches
batch_send_every_n - If set, messages are send in batches of this size batch_send_every_n: If set, messages are send in batches of this size
batch_send_every_t - If set, messages are send after this timeout batch_send_every_t: If set, messages are send after this timeout
""" """
def __init__(self, client, partitioner=None, async=False, def __init__(self, client, partitioner=None, async=False,
req_acks=Producer.ACK_AFTER_LOCAL_WRITE, req_acks=Producer.ACK_AFTER_LOCAL_WRITE,

30
kafka/producer/simple.py
View File

@@ -19,21 +19,23 @@ class SimpleProducer(Producer):
""" """
A simple, round-robin producer. Each message goes to exactly one partition A simple, round-robin producer. Each message goes to exactly one partition
Params: Arguments:
client - The Kafka client instance to use client: The Kafka client instance to use
async - If True, the messages are sent asynchronously via another
Keyword Arguments:
async: If True, the messages are sent asynchronously via another
thread (process). We will not wait for a response to these thread (process). We will not wait for a response to these
req_acks - A value indicating the acknowledgements that the server must req_acks: A value indicating the acknowledgements that the server must
receive before responding to the request receive before responding to the request
ack_timeout - Value (in milliseconds) indicating a timeout for waiting ack_timeout: Value (in milliseconds) indicating a timeout for waiting
for an acknowledgement for an acknowledgement
batch_send - If True, messages are send in batches batch_send: If True, messages are send in batches
batch_send_every_n - If set, messages are send in batches of this size batch_send_every_n: If set, messages are send in batches of this size
batch_send_every_t - If set, messages are send after this timeout batch_send_every_t: If set, messages are send after this timeout
random_start - If true, randomize the initial partition which the random_start: If true, randomize the initial partition which the
the first message block will be published to, otherwise the first message block will be published to, otherwise
if false, the first message block will always publish if false, the first message block will always publish
to partition 0 before cycling through each partition to partition 0 before cycling through each partition
""" """
def __init__(self, client, async=False, def __init__(self, client, async=False,
req_acks=Producer.ACK_AFTER_LOCAL_WRITE, req_acks=Producer.ACK_AFTER_LOCAL_WRITE,

125
kafka/protocol.py
View File

@@ -185,18 +185,18 @@ class KafkaProtocol(object):
""" """
Encode some ProduceRequest structs Encode some ProduceRequest structs
Params Arguments:
====== client_id: string
client_id: string correlation_id: int
correlation_id: int payloads: list of ProduceRequest
payloads: list of ProduceRequest acks: How "acky" you want the request to be
acks: How "acky" you want the request to be 0: immediate response
0: immediate response 1: written to disk by the leader
1: written to disk by the leader 2+: waits for this many number of replicas to sync
2+: waits for this many number of replicas to sync -1: waits for all replicas to be in sync
-1: waits for all replicas to be in sync timeout: Maximum time the server will wait for acks from replicas.
timeout: Maximum time the server will wait for acks from replicas. This is _not_ a socket timeout
This is _not_ a socket timeout
""" """
payloads = [] if payloads is None else payloads payloads = [] if payloads is None else payloads
grouped_payloads = group_by_topic_and_partition(payloads) grouped_payloads = group_by_topic_and_partition(payloads)
@@ -225,9 +225,9 @@ class KafkaProtocol(object):
""" """
Decode bytes to a ProduceResponse Decode bytes to a ProduceResponse
Params Arguments:
====== data: bytes to decode
data: bytes to decode
""" """
((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0) ((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
@@ -248,14 +248,13 @@ class KafkaProtocol(object):
""" """
Encodes some FetchRequest structs Encodes some FetchRequest structs
Params Arguments:
====== client_id: string
client_id: string correlation_id: int
correlation_id: int payloads: list of FetchRequest
payloads: list of FetchRequest max_wait_time: int, how long to block waiting on min_bytes of data
max_wait_time: int, how long to block waiting on min_bytes of data min_bytes: int, the minimum number of bytes to accumulate before
min_bytes: int, the minimum number of bytes to accumulate before returning the response
returning the response
""" """
payloads = [] if payloads is None else payloads payloads = [] if payloads is None else payloads
@@ -284,9 +283,8 @@ class KafkaProtocol(object):
""" """
Decode bytes to a FetchResponse Decode bytes to a FetchResponse
Params Arguments:
====== data: bytes to decode
data: bytes to decode
""" """
((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0) ((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
@@ -333,9 +331,8 @@ class KafkaProtocol(object):
""" """
Decode bytes to an OffsetResponse Decode bytes to an OffsetResponse
Params Arguments:
====== data: bytes to decode
data: bytes to decode
""" """
((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0) ((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
@@ -360,11 +357,10 @@ class KafkaProtocol(object):
""" """
Encode a MetadataRequest Encode a MetadataRequest
Params Arguments:
====== client_id: string
client_id: string correlation_id: int
correlation_id: int topics: list of strings
topics: list of strings
""" """
if payloads is None: if payloads is None:
topics = [] if topics is None else topics topics = [] if topics is None else topics
@@ -388,9 +384,8 @@ class KafkaProtocol(object):
""" """
Decode bytes to a MetadataResponse Decode bytes to a MetadataResponse
Params Arguments:
====== data: bytes to decode
data: bytes to decode
""" """
((correlation_id, numbrokers), cur) = relative_unpack('>ii', data, 0) ((correlation_id, numbrokers), cur) = relative_unpack('>ii', data, 0)
@@ -439,12 +434,11 @@ class KafkaProtocol(object):
""" """
Encode some OffsetCommitRequest structs Encode some OffsetCommitRequest structs
Params Arguments:
====== client_id: string
client_id: string correlation_id: int
correlation_id: int group: string, the consumer group you are committing offsets for
group: string, the consumer group you are committing offsets for payloads: list of OffsetCommitRequest
payloads: list of OffsetCommitRequest
""" """
grouped_payloads = group_by_topic_and_partition(payloads) grouped_payloads = group_by_topic_and_partition(payloads)
@@ -470,9 +464,8 @@ class KafkaProtocol(object):
""" """
Decode bytes to an OffsetCommitResponse Decode bytes to an OffsetCommitResponse
Params Arguments:
====== data: bytes to decode
data: bytes to decode
""" """
((correlation_id,), cur) = relative_unpack('>i', data, 0) ((correlation_id,), cur) = relative_unpack('>i', data, 0)
((num_topics,), cur) = relative_unpack('>i', data, cur) ((num_topics,), cur) = relative_unpack('>i', data, cur)
@@ -491,12 +484,11 @@ class KafkaProtocol(object):
""" """
Encode some OffsetFetchRequest structs Encode some OffsetFetchRequest structs
Params Arguments:
====== client_id: string
client_id: string correlation_id: int
correlation_id: int group: string, the consumer group you are fetching offsets for
group: string, the consumer group you are fetching offsets for payloads: list of OffsetFetchRequest
payloads: list of OffsetFetchRequest
""" """
grouped_payloads = group_by_topic_and_partition(payloads) grouped_payloads = group_by_topic_and_partition(payloads)
@@ -522,9 +514,8 @@ class KafkaProtocol(object):
""" """
Decode bytes to an OffsetFetchResponse Decode bytes to an OffsetFetchResponse
Params Arguments:
====== data: bytes to decode
data: bytes to decode
""" """
((correlation_id,), cur) = relative_unpack('>i', data, 0) ((correlation_id,), cur) = relative_unpack('>i', data, 0)
@@ -547,10 +538,10 @@ def create_message(payload, key=None):
""" """
Construct a Message Construct a Message
Params Arguments:
====== payload: bytes, the payload to send to Kafka
payload: bytes, the payload to send to Kafka key: bytes, a key used for partition routing (optional)
key: bytes, a key used for partition routing (optional)
""" """
return Message(0, 0, key, payload) return Message(0, 0, key, payload)
@@ -562,10 +553,10 @@ def create_gzip_message(payloads, key=None):
The given payloads will be encoded, compressed, and sent as a single atomic The given payloads will be encoded, compressed, and sent as a single atomic
message to Kafka. message to Kafka.
Params Arguments:
====== payloads: list(bytes), a list of payload to send be sent to Kafka
payloads: list(bytes), a list of payload to send be sent to Kafka key: bytes, a key used for partition routing (optional)
key: bytes, a key used for partition routing (optional)
""" """
message_set = KafkaProtocol._encode_message_set( message_set = KafkaProtocol._encode_message_set(
[create_message(payload, key) for payload in payloads]) [create_message(payload, key) for payload in payloads])
@@ -583,10 +574,10 @@ def create_snappy_message(payloads, key=None):
The given payloads will be encoded, compressed, and sent as a single atomic The given payloads will be encoded, compressed, and sent as a single atomic
message to Kafka. message to Kafka.
Params Arguments:
====== payloads: list(bytes), a list of payload to send be sent to Kafka
payloads: list(bytes), a list of payload to send be sent to Kafka key: bytes, a key used for partition routing (optional)
key: bytes, a key used for partition routing (optional)
""" """
message_set = KafkaProtocol._encode_message_set( message_set = KafkaProtocol._encode_message_set(
[create_message(payload, key) for payload in payloads]) [create_message(payload, key) for payload in payloads])

34
kafka/queue.py
View File

@@ -129,13 +129,12 @@ class KafkaQueue(object):
Messages are buffered in the producer thread until Messages are buffered in the producer thread until
producer_flush_timeout or producer_flush_buffer is reached. producer_flush_timeout or producer_flush_buffer is reached.
Params Arguments:
====== client: KafkaClient object
client: KafkaClient object topic: str, the topic name
topic: str, the topic name partitions: list of ints, the partions to consume from
partitions: list of ints, the partions to consume from producer_config: dict, see below
producer_config: dict, see below consumer_config: dict, see below
consumer_config: dict, see below
Consumer Config Consumer Config
=============== ===============
@@ -184,14 +183,12 @@ class KafkaQueue(object):
""" """
Consume a message from Kafka Consume a message from Kafka
Params Arguments:
====== block: boolean, default True
block: boolean, default True timeout: int, number of seconds to wait when blocking, default None
timeout: int, number of seconds to wait when blocking, default None
Returns Returns:
======= msg: str, the payload from Kafka
msg: str, the payload from Kafka
""" """
return self.in_queue.get(block, timeout).payload return self.in_queue.get(block, timeout).payload
@@ -199,11 +196,10 @@ class KafkaQueue(object):
""" """
Send a message to Kafka Send a message to Kafka
Params Arguments:
====== msg: std, the message to send
msg: std, the message to send block: boolean, default True
block: boolean, default True timeout: int, number of seconds to wait when blocking, default None
timeout: int, number of seconds to wait when blocking, default None
""" """
self.out_queue.put(msg, block, timeout) self.out_queue.put(msg, block, timeout)

10
kafka/util.py
View File

@@ -103,10 +103,12 @@ class ReentrantTimer(object):
A timer that can be restarted, unlike threading.Timer A timer that can be restarted, unlike threading.Timer
(although this uses threading.Timer) (although this uses threading.Timer)
t: timer interval in milliseconds Arguments:
fn: a callable to invoke
args: tuple of args to be passed to function t: timer interval in milliseconds
kwargs: keyword arguments to be passed to function fn: a callable to invoke
args: tuple of args to be passed to function
kwargs: keyword arguments to be passed to function
""" """
def __init__(self, t, fn, *args, **kwargs): def __init__(self, t, fn, *args, **kwargs):