crowbar/crowbar-openstack

############################# Server Basics #############################

# The id of the broker. This must be set to a unique integer for each broker.
broker.id=<%= @kafka_broker_id %>

############################# Socket Server Settings #############################

# The port the socket server listens on
port=<%= @kafka_port %>

# Hostname the broker will bind to. If not set, the server will bind to all interfaces
<% if @kafka_listen_address %>
host.name=<%= @kafka_listen_address %>
<% else %>
# host.name=
<% end %>

# Hostname the broker will advertise to producers and consumers. If not set, it uses the
# value for "host.name" if configured. Otherwise, it will use the value returned from
# java.net.InetAddress.getCanonicalHostName().
#advertised.host.name=<hostname routable by clients>

# The port to publish to ZooKeeper for clients to use. If this is not set,
# it will publish the same port that the broker binds to.
#advertised.port=<port accessible by clients>

# The number of threads handling network requests
num.network.threads=<%= @kafka_num_network_threads %>

# The number of threads doing disk I/O
num.io.threads=<%= @kafka_num_io_threads %>

# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=<%= @kafka_socket_send_buffer_bytes %>

# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=<%= @kafka_socket_receive_buffer_bytes %>

# The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=<%= @kafka_socket_request_max_bytes %>

# Idle connections timeout: the server socket processor threads close the connections that idle more than this
connections.max.idle.ms=<%= @kafka_connections_max_idle_ms %>


############################# Log Basics #############################

# A comma seperated list of directories under which to store log files
log.dirs=<%= @kafka_data_dir %>

auto.create.topics.enable=<%= @kafka_auto_create_topics %>
# The number of logical partitions per topic per server. More partitions allow greater parallelism
# for consumption, but also mean more files.
num.partitions=<%= @kafka_num_partitions %>

# Specify the message format version the broker will use to append messages to
# the logs. Once consumers are upgraded, one can change the message format and
# enjoy the new message format that includes new timestamp and improved
# compression.
# (TODO) Use new message format after updating consumers
log.message.format.version=0.9.0.0

############################# Log Flush Policy #############################

# Messages are immediately written to the filesystem but by default we only fsync() to sync
# the OS cache lazily. The following configurations control the flush of data to disk.
# There are a few important trade-offs here:
#    1. Durability: Unflushed data may be lost if you are not using replication.
#    2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.
#    3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to exceessive seeks.
# The settings below allow one to configure the flush policy to flush data after a period of time or
# every N messages (or both). This can be done globally and overridden on a per-topic basis.

# The number of messages to accept before forcing a flush of data to disk
log.flush.interval.messages=<%= @kafka_log_flush_interval_messages %>

# The maximum amount of time a message can sit in a log before we force a flush
log.flush.interval.ms=<%= @kafka_log_flush_interval_ms %>

############################# Log Retention Policy #############################

# The following configurations control the disposal of log segments. The policy can
# be set to delete segments after a period of time, or after a given size has accumulated.
# A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
# from the end of the log.

# The minimum age of a log file to be eligible for deletion
log.retention.hours=<%= @kafka_log_retention_hours %>

# A size-based retention policy for logs. Segments are pruned from the log as long as the remaining
# segments don't drop below log.retention.bytes.
log.retention.bytes=<%= @kafka_log_retention_bytes %>

# The maximum size of a log segment file. When this size is reached a new log segment will be created.
log.segment.bytes=<%= @kafka_log_segment_bytes %>

# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
log.retention.check.interval.ms=60000

# By default the log cleaner is disabled and the log retention policy will default to just delete segments after their retention expires.
# If log.cleaner.enable=true is set the cleaner will be enabled and individual logs can then be marked for log compaction.
log.cleaner.enable=false

############################# Zookeeper #############################

# Zookeeper connection string (see zookeeper docs for details).
# This is a comma separated host:port pairs, each corresponding to a zk
# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
# You can also append an optional chroot string to the urls to specify the
# root directory for all kafka znodes.
zookeeper.connect=<%= @kafka_zookeeper_hosts.join(",") %>

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=<%= @kafka_zookeeper_connection_timeout_ms %>

############################# Broker #############################

# The number of byes of messages to attempt to fetch for each
# partition in the fetch requests the replicas send to the leader.
replica.fetch.max.bytes=<%= @kafka_replica_fetch_max_bytes %>

# The maximum size of a message that the server can receive. It is important that this property be in sync with the maximum
# fetch size your consumers use or else an unruly producer will be able to publish messages too large for consumers to consume.
message.max.bytes = <%= @kafka_message_max_bytes %>