Installs and configures Kafka
Initially based on the Kafka cookbook released by Webtrends (thanks!), but with a few notable differences:
- does not depend on runit cookbook.
- does not depend on zookeeper cookbook, thus it will not search for nodes with a specific role or such, that is left up to you to decide.
- intended to be used by wrapper cookbooks.
This cookbook does not depend on any specific cookbooks, but it requires that
java is installed on the system, thus the
java cookbook is recommended.
Furthermore, Kafka requires ZooKeeper for coordination, and this cookbook does not install or manage ZooKeeper to any extent. A general recommendation is to not run Kafka and ZooKeeper on the same hardware.
- Amazon Linux
- CentOS 6 and 7
- Debian 7 and 8
- Fedora 21
- Ubuntu 14.04
The platforms / versions listed above are the ones that are included in
.kitchen.yml and/or tested in the wild, so it might work on other platforms as
In order to keep the README in some kind of manageable state (and thus in sync
with attributes), attributes are documented inline (in the
Attributes concerning configuration of a Kafka broker are to be set under the
broker namespace, as such:
node.default['kafka']['broker']['log.dirs'] = %w[/tmp/kafka-logs] node.default['kafka']['broker']['num.io.threads'] = 4 node.default['kafka']['broker']['zookeeper.connect'] = %w[localhost:2181]
The attribute names match the configuration names that Kafka uses to make it easier to support new and old versions of Kafka simultaneously, by avoiding "hardcoded" attribute names for configuration options, so please refer to the official documentation for the release at your hand.
Refer to the official documentation for the version of Kafka that you're installing. Documentation for the latest release can be found over here.
This section describes the different recipes that are available.
Downloads and installs Kafka from the official binary releases.
Defaults to installing
v1.1.1 of Kafka.
Controlling restart of Kafka brokers in a cluster
Any changes made to the broker configuration could result in a restart of the
Kafka broker, if the
kafka.automatic_restart attribute is set to
If Chef runs as a daemon on all of the nodes this could result in all of the Kafka
brokers being brought down at the same time, resulting in unavailability of
If unavailability is an issue, this cookbook provides an option to implement custom logic to control the restart of Kafka brokers so that not all of the brokers in a cluster are stopped at the same time. For example the custom logic can be something along the lines of acquiring a lock in ZooKeeper and when held the broker is allowed to restart. Be aware that a restart might take quite some time if you're using controlled shutdown and have a lot of partitions, and Chef usually have some timeout for each resource.
By default the resources in the
recipe performs the start/restart of the
If custom logic needs to be implemented, this recipe can be replaced with
another recipe, but don't forget to update the
The only requirement is that the new recipe has a
ruby_block resource with
'coordinate-kafka-start' as ID.
The following is a sample recipe that shows roughly what one can do with this
ruby_block 'coordinate-kafka-start' do block do Chef::Log.info 'Custom recipe to coordinate Kafka start/restart' end action :nothing notifies :create, 'ruby_block[restart-coordination]', :delayed end ruby_block 'restart-coordination' do block do Chef::Log.info 'Implement the process to coordinate the restart, like using ZK' end action :nothing # `kafka_service_resource` is a helper method that will return the correct # resource name depending on whether you're using `runit` or not. notifies :restart, kafka_service_resource, :delayed notifies :create, 'ruby_block[restart-coordination-cleanup]', :delayed end ruby_block 'restart-coordination-cleanup' do block do Chef::Log.info 'Implement any cleanup logic required after restart like releasing locks' end action :nothing end
Please refer to issue #58 for background of this feature.
Kafka dies for no apparent reason (ulimit)
Depending on your system / infrastructure setup you might run into issues with Kafka just sporadically dying for no obvious reason. One thing you might want to look into is the file handle limit as Kafka tend to keep a lot file handles open due to socket connections (depends on the number of brokers, producers and consumers) and the actual data log files (depends on the number of partitions and log segment and/or log roll settings).
It's possible to set a specific
ulimit for Kafka using the
If this value is not set, Kafka will use whatever the system default is, which
as stated previously might not be enough, so it might be wise to set a higher
How do I get started locally? (minimal required setup)
If you want to hit the ground running and just setup a single broker (or a
cluster for that matter) locally, these are the necessary
that needs to be set (assumes that you have ZooKeeper running on port 2181
node.default['kafka']['broker']['zookeeper.connect'] = 'localhost:2181' # This shouldn't normally be necessary, but might need to be set explicitly # if you're having trouble connecting to the brokers. node.default['kafka']['broker']['hostname'] = '127.0.0.1' # or perhaps 'localhost'
If you plan on running a cluster locally you will want to set separate values for the following configuration options:
node.default['kafka']['broker']['broker.id'] = <id> node.default['kafka']['broker']['port'] = <port> node.default['kafka']['broker']['log.dirs'] = <dir path>
Other than that things should work as expected, though depending on what
platform you're running on, you might want to change the install and config
directories as well. See
the default path regarding directories that Kafka will use.
Kafka killed prematurely (kill timeout)
controlled shutdown and either
upstart as init
system you might run into issues with Kafka being killed before it has managed
to shutdown completely, resulting in long recovery times.
Not sure if it's possible to configure either
upstart to not
automatically kill processes, but a workaround is to set
a sufficiently high value.
- Fork the repository on Github
- Create a named feature branch (like
- Write your change
- Check that your change works, for example with Vagrant
- Submit a Pull Request using Github