Kafka - Apache Kafka low-level synchronous API, which does not use Zookeeper.
This documentation refers to Kafka
package version 1.08 .
use 5.010;
use strict;
use warnings;
use Scalar::Util qw(
blessed
);
use Try::Tiny;
use Kafka qw(
$BITS64
);
use Kafka::Connection;
use Kafka::Producer;
use Kafka::Consumer;
# A simple example of Kafka usage
# common information
say 'This is Kafka package ', $Kafka::VERSION;
say 'You have a ', $BITS64 ? '64' : '32', ' bit system';
my ( $connection, $producer, $consumer );
try {
#-- Connect to local cluster
$connection = Kafka::Connection->new( host => 'localhost' );
#-- Producer
$producer = Kafka::Producer->new( Connection => $connection );
#-- Consumer
$consumer = Kafka::Consumer->new( Connection => $connection );
} catch {
my $error = $_;
if ( blessed( $error ) && $error->isa( 'Kafka::Exception' ) ) {
warn 'Error: (', $error->code, ') ', $error->message, "\n";
exit;
} else {
die $error;
}
};
# cleaning up
undef $consumer;
undef $producer;
$connection->close;
undef $connection;
# another brief code example of the Kafka package
# is provided in the "An Example" section.
The Kafka package is a set of Perl modules which provides a simple and consistent application programming interface (API) to Apache Kafka 0.9+, a high-throughput distributed messaging system.
The user modules in this package provide an object oriented API. The IO agents, requests sent, and responses received from the Apache Kafka or mock servers are all represented by objects. This makes a simple and powerful interface to these services.
The main features of the package are:
The Kafka package is based on Kafka's 0.9+ Protocol specification document at https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol
The Kafka's protocol is based on a request/response paradigm. A client establishes a connection with a server and sends a request to the server in the form of a request method, followed by a messages containing request modifiers. The server responds with a success or error code, followed by a messages containing entity meta-information and content.
Messages are the fundamental unit of communication. They are published to a topic by a producer, which means they are physically sent to a server acting as a broker. Some number of consumers subscribe to a topic, and each published message is delivered to all the consumers. The messages stream is partitioned on the brokers as a set of distinct partitions. The semantic meaning of these partitions is left up to the producer and the producer specifies which partition a message belongs to. Within a partition the messages are stored in the order in which they arrive at the broker, and will be given out to consumers in that same order. In Apache Kafka, the consumers are responsible for maintaining state information (offset) on what has been consumed. A consumer can deliberately rewind back to an old offset and re-consume data. Each message is uniquely identified by a 64-bit integer offset giving the position of the start of this message in the stream of all messages ever sent to that topic on that partition. Reads are done by giving the 64-bit logical offset of a message and a max chunk size.
The request is then passed through the client to a server and we get the response in return to a consumer request that we can examine. A request is always independent of any previous requests, i.e. the service is stateless. This API is completely stateless, with the topic and partition being passed in on every request.
Clients use the Connection object to communicate with the Apache Kafka cluster. The Connection object is an interface layer between your application code and the Apache Kafka cluster.
Connection object is required to create instances of classes Kafka::Producer or Kafka::Consumer.
Kafka Connection API is implemented by Kafka::Connection class.
use Kafka::Connection;
# connect to local cluster with the defaults
my $connection = Kafka::Connection->new( host => 'localhost' );
The main attributes of the Connection object are:
The Kafka::Connection object use internal class Kafka::IO to maintain communication with the particular server of Kafka cluster The IO object is an interface layer between Kafka::Connection object and the network.
Kafka IO API is implemented by Kafka::IO class. Note that end user normally should have no need to use Kafka::IO but work with Kafka::Connection instead.
use Kafka::IO;
# connect to local server with the defaults
my $io = Kafka::IO->new( host => 'localhost' );
The main attributes of the IO object are:
Kafka producer API is implemented by Kafka::Producer class.
use Kafka::Producer;
#-- Producer
my $producer = Kafka::Producer->new( Connection => $connection );
# Sending a single message
$producer->send(
'mytopic', # topic
0, # partition
'Single message' # message
);
# Sending a series of messages
$producer->send(
'mytopic', # topic
0, # partition
[ # messages
'The first message',
'The second message',
'The third message',
]
);
The main methods and attributes of the producer request are:
send()
.Kafka consumer API is implemented by Kafka::Consumer class.
use Kafka::Consumer;
$consumer = Kafka::Consumer->new( Connection => $connection );
The request methods of the consumer object are offsets()
and fetch()
.
offsets
method returns a reference to the list of offsets of received messages.
fetch
method returns a reference to the list of received
Kafka::Message objects.
use Kafka qw(
$DEFAULT_MAX_BYTES
$DEFAULT_MAX_NUMBER_OF_OFFSETS
$RECEIVE_EARLIEST_OFFSET
);
# Get a list of valid offsets up to max_number before the given time
my $offsets = $consumer->offsets(
'mytopic', # topic
0, # partition
$RECEIVE_EARLIEST_OFFSET, # time
$DEFAULT_MAX_NUMBER_OF_OFFSETS # max_number
);
say "Received offset: $_" foreach @$offsets;
# Consuming messages
my $messages = $consumer->fetch(
'mytopic', # topic
0, # partition
0, # offset
$DEFAULT_MAX_BYTES # Maximum size of MESSAGE(s) to receive
);
foreach my $message ( @$messages ) {
if ( $message->valid ) {
say 'payload : ', $message->payload;
say 'key : ', $message->key;
say 'offset : ', $message->offset;
say 'next_offset: ', $message->next_offset;
} else {
say 'error : ', $message->error;
}
}
See Kafka::Consumer for additional information and documentation about class methods and arguments.
Kafka message API is implemented by Kafka::Message class.
if ( $message->valid ) {
say 'payload : ', $message->payload;
say 'key : ', $message->key;
say 'offset : ', $message->offset;
say 'next_offset: ', $message->next_offset;
} else {
say 'error : ', $message->error;
}
Methods available for Kafka::Message object :
payload
A simple message received from the Apache Kafka server.key
An optional message key that was used for partition assignment.valid
A message entry is valid.error
A description of the message inconsistence.offset
The offset beginning of the message in the Apache Kafka server.next_offset
The offset beginning of the next message in the Apache Kafka
server.A designated class Kafka::Exception
is used to provide a more detailed and
structured information when error is detected.
The following attributes are declared within Kafka::Exception
:
code, message.
Additional subclasses of Kafka::Exception
designed to report errors in respective
Kafka classes:
Kafka::Exception::Connection
,
Kafka::Exception::Consumer
,
Kafka::Exception::IO
,
Kafka::Exception::Int64
,
Kafka::Exception::Producer
.
Authors suggest using of Try::Tiny's try
and catch
to handle exceptions while
working with Kafka module.
None by default.
Additional constants are available for import, which can be used to define some type of parameters, and to identify various error cases.
$KAFKA_SERVER_PORT
default Apache Kafka server port - 9092.
$REQUEST_TIMEOUT
1.5 sec - timeout in secs, for gethostbyname
, connect
, blocking receive
and
send
calls (could be any integer or floating-point type).
$DEFAULT_MAX_BYTES
1MB - maximum size of message(s) to receive.
$SEND_MAX_ATTEMPTS
4 - The leader may be unavailable transiently, which can fail the sending of a message. This property specifies the number of attempts to send of a message.
Do not use $Kafka::SEND_MAX_ATTEMPTS
in Kafka::Producer-<gt
send> request to prevent duplicates.
$RETRY_BACKOFF
200 - (ms)
According to Apache Kafka documentation:
Producer Configs - Before each retry, the producer refreshes the metadata of relevant topics. Since leader election takes a bit of time, this property specifies the amount of time that the producer waits before refreshing the metadata.
Consumer Configs - Backoff time to wait before trying to determine the leader of a partition that has just lost its leader.
$RECEIVE_LATEST_OFFSET
DEPRECATED: please use $RECEIVE_LATEST_OFFSETS
, as when using this
constant to retrieve offsets, you can get more than one. It's kept for backward
compatibility.
-1 : special value that denotes latest available offset.
$RECEIVE_LATEST_OFFSETS
-1 : special value that denotes latest available offsets.
$RECEIVE_EARLIEST_OFFSET
-2 : special value that denotes earliest available offset.
$RECEIVE_EARLIEST_OFFSETS
DEPRECATED: please use $RECEIVE_EARLIEST_OFFSET
, as when using this
constant to retrieve offset, you can get only one. It's kept for backward
compatibility.
-2 : special value that denotes earliest available offset.
$DEFAULT_MAX_NUMBER_OF_OFFSETS
100 - maximum number of offsets to retrieve.
$MIN_BYTES_RESPOND_IMMEDIATELY
The minimum number of bytes of messages that must be available to give a response.
0 - the server will always respond immediately.
$MIN_BYTES_RESPOND_HAS_DATA
The minimum number of bytes of messages that must be available to give a response.
10 - the server will respond as soon as at least one partition has at least 10 bytes of data (Offset => int64 + MessageSize => int32) or the specified timeout occurs.
$NOT_SEND_ANY_RESPONSE
Indicates how many acknowledgements the servers should receive before responding to the request.
0 - the server does not send any response.
$WAIT_WRITTEN_TO_LOCAL_LOG
Indicates how long the servers should wait for the data to be written to the local long before responding to the request.
1 - the server will wait the data is written to the local log before sending a response.
$BLOCK_UNTIL_IS_COMMITTED
Wait for message to be committed by all sync replicas.
-1 - the server will block until the message is committed by all in sync replicas before sending a response.
$DEFAULT_MAX_WAIT_TIME
The maximum amount of time (seconds, may be fractional) to wait when no sufficient amount of data is available at the time the request is dispatched.
0.1 - allow the server to wait up to 0.1s to try to accumulate data before responding.
$MESSAGE_SIZE_OVERHEAD
34 - size of protocol overhead (data added by protocol) for each message.
Specify IP protocol version for resolving of IP address and host names.
$IP_V4
Interpret address as IPv4 and force resolving of host name in IPv4.
$IP_V6
Interpret address as IPv6 and force resolving of host name in IPv6.
According to Apache Kafka documentation:
Kafka currently supports three compression codecs with the following codec numbers:
$COMPRESSION_NONE
None = 0
$COMPRESSION_GZIP
GZIP = 1
$COMPRESSION_SNAPPY
Snappy = 2
$COMPRESSION_LZ4
LZ4 = 3 (That module supports only Kafka 0.10 or higher, as initial implementation of LZ4 in Kafka did not follow the standard LZ4 framing specification).
Possible error codes (corresponds to descriptions in %ERROR
):
$ERROR_MISMATCH_ARGUMENT
-1000 - Invalid argument
$ERROR_CANNOT_SEND
-1001 - Cannot send
$ERROR_SEND_NO_ACK
-1002 - No acknowledgement for sent request
ERROR_CANNOT_RECV
-1003 - Cannot receive
ERROR_CANNOT_BIND
-1004 - Cannot connect to broker
$ERROR_METADATA_ATTRIBUTES
-1005 - Unknown metadata attributes
$ERROR_UNKNOWN_APIKEY
-1006 - Unknown ApiKey
$ERROR_CANNOT_GET_METADATA
-1007 - Cannot get Metadata
$ERROR_LEADER_NOT_FOUND
-1008 - Leader not found
$ERROR_MISMATCH_CORRELATIONID
-1009 - Mismatch CorrelationId
$ERROR_NO_KNOWN_BROKERS
-1010 - There are no known brokers
$ERROR_REQUEST_OR_RESPONSE
-1011 - Bad request or response element
$ERROR_TOPIC_DOES_NOT_MATCH
-1012 - Topic does not match the requested
$ERROR_PARTITION_DOES_NOT_MATCH
-1013 - Partition does not match the requested
$ERROR_NOT_BINARY_STRING
-1014 - Unicode data is not allowed
$ERROR_COMPRESSION
-1015 - Compression error
$ERROR_RESPONSEMESSAGE_NOT_RECEIVED
-1016 - 'ResponseMessage' not received
$ERROR_INCOMPATIBLE_HOST_IP_VERSION
-1017 - Incompatible host name and IP version
$ERROR_NO_CONNECTION
-1018 - No IO connection
$ERROR_GROUP_COORDINATOR_NOT_FOUND
-1019 - Group Coordinator not found
Contains the descriptions of possible error codes obtained via ERROR_CODE box of Apache Kafka Wire Format protocol response.
$ERROR_NO_ERROR
0 - q{}
No error - it worked!
$ERROR_UNKNOWN
-1 - An unexpected server error.
$ERROR_OFFSET_OUT_OF_RANGE
1 - The requested offset is not within the range of offsets maintained by the server.
$ERROR_INVALID_MESSAGE
2 - This message has failed its CRC checksum, exceeds the valid size, or is otherwise corrupt.
Synonym name $ERROR_CORRUPT_MESSAGE .
$ERROR_UNKNOWN_TOPIC_OR_PARTITION
3 - This server does not host this topic-partition.
$ERROR_INVALID_FETCH_SIZE
4 - The requested fetch size is invalid.
Synonym name $ERROR_INVALID_MESSAGE_SIZE .
$ERROR_LEADER_NOT_AVAILABLE
5 - Unable to write due to ongoing Kafka leader selection.
This error is thrown if we are in the middle of a leadership election and there is no current leader for this partition, hence it is unavailable for writes.
$ERROR_NOT_LEADER_FOR_PARTITION
6 - Server is not a leader for partition.
This error is thrown if the client attempts to send messages to a replica that is not the leader for some partition. It indicates that the clients metadata is out of date.
$ERROR_REQUEST_TIMED_OUT
7 - Request time-out.
This error is thrown if the request exceeds the user-specified time limit in the request.
$ERROR_BROKER_NOT_AVAILABLE
8 - Broker is not available.
This is not a client facing error and is used mostly by tools when a broker is not alive.
$ERROR_REPLICA_NOT_AVAILABLE
9 - The replica is not available for the requested topic-partition.
If replica is expected on a broker, but is not (this can be safely ignored).
$ERROR_MESSAGE_TOO_LARGE
10 - The request included a message larger than the max message size the server will accept.
The server has a configurable maximum message size to avoid unbounded memory allocation. This error is thrown if the client attempt to produce a message larger than this maximum.
Synonym name $ERROR_MESSAGE_SIZE_TOO_LARGE .
$ERROR_STALE_CONTROLLER_EPOCH
11 - The controller moved to another broker.
According to Apache Kafka documentation: Internal error code for broker-to-broker communication.
Synonym name $ERROR_STALE_CONTROLLER_EPOCH_CODE .
$ERROR_OFFSET_METADATA_TOO_LARGE
12 - Specified metadata offset is too big
If you specify a value larger than configured maximum for offset metadata.
Synonym name $ERROR_OFFSET_METADATA_TOO_LARGE_CODE .
$ERROR_NETWORK_EXCEPTION
13 - The server disconnected before a response was received.
$ERROR_GROUP_LOAD_IN_PROGRESS
14 - The coordinator is loading and hence can't process requests for this group.
Synonym name $ERROR_GROUP_LOAD_IN_PROGRESS_CODE, $ERROR_LOAD_IN_PROGRESS_CODE .
$ERROR_GROUP_COORDINATOR_NOT_AVAILABLE
15 - The group coordinator is not available.
Synonym name $ERROR_GROUP_COORDINATOR_NOT_AVAILABLE_CODE, $ERROR_CONSUMER_COORDINATOR_NOT_AVAILABLE_CODE .
$ERROR_NOT_COORDINATOR_FOR_GROUP
16 - This is not the correct coordinator for this group.
Synonym name $ERROR_NOT_COORDINATOR_FOR_GROUP_CODE, $ERROR_NOT_COORDINATOR_FOR_CONSUMER_CODE .
$ERROR_INVALID_TOPIC_EXCEPTION
17 - The request attempted to perform an operation on an invalid topic.
Synonym name $ERROR_INVALID_TOPIC_CODE .
$ERROR_RECORD_LIST_TOO_LARGE
18 - The request included message batch larger than the configured segment size on the server.
Synonym name $ERROR_RECORD_LIST_TOO_LARGE_CODE .
$ERROR_NOT_ENOUGH_REPLICAS
19 - Messages are rejected since there are fewer in-sync replicas than required.
Synonym name $ERROR_NOT_ENOUGH_REPLICAS_CODE .
$ERROR_NOT_ENOUGH_REPLICAS_AFTER_APPEND
20 - Messages are written to the log, but to fewer in-sync replicas than required.
Synonym name $ERROR_NOT_ENOUGH_REPLICAS_AFTER_APPEND_CODE .
$ERROR_INVALID_REQUIRED_ACKS
21 - Produce request specified an invalid value for required acks.
Synonym name $ERROR_INVALID_REQUIRED_ACKS_CODE .
$ERROR_ILLEGAL_GENERATION
22 - Specified group generation id is not valid.
Synonym name $ERROR_ILLEGAL_GENERATION_CODE .
$ERROR_INCONSISTENT_GROUP_PROTOCOL
23 - The group member's supported protocols are incompatible with those of existing members.
Synonym name $ERROR_INCONSISTENT_GROUP_PROTOCOL_CODE .
$ERROR_INVALID_GROUP_ID
24 - The configured groupId is invalid.
Synonym name $ERROR_INVALID_GROUP_ID_CODE .
$ERROR_UNKNOWN_MEMBER_ID
25 - The coordinator is not aware of this member.
Synonym name $ERROR_UNKNOWN_MEMBER_ID_CODE .
$ERROR_INVALID_SESSION_TIMEOUT
26 - The session timeout is not within the range allowed by the broker (as configured by group.min.session.timeout.ms and group.max.session.timeout.ms).
Synonym name $ERROR_INVALID_SESSION_TIMEOUT_CODE .
$ERROR_REBALANCE_IN_PROGRESS
27 - The group is rebalancing, so a rejoin is needed.
Synonym name $ERROR_REBALANCE_IN_PROGRESS_CODE .
$ERROR_INVALID_COMMIT_OFFSET_SIZE
28 - The committing offset data size is not valid.
Synonym name $ERROR_INVALID_COMMIT_OFFSET_SIZE_CODE .
$ERROR_TOPIC_AUTHORIZATION_FAILED
29 - Not authorized to access topics: [Topic authorization failed.].
Synonym name $ERROR_TOPIC_AUTHORIZATION_FAILED_CODE .
$ERROR_GROUP_AUTHORIZATION_FAILED
30 - Not authorized to access group: Group authorization failed.
Synonym name $ERROR_GROUP_AUTHORIZATION_FAILED_CODE .
$ERROR_CLUSTER_AUTHORIZATION_FAILED
31 - Cluster authorization failed.
Synonym name $ERROR_CLUSTER_AUTHORIZATION_FAILED_CODE .
$ERROR_INVALID_TIMESTAMP
32 - The timestamp of the message is out of acceptable range.
$ERROR_UNSUPPORTED_SASL_MECHANISM
33 - The broker does not support the requested SASL mechanism.
$ERROR_ILLEGAL_SASL_STATE
34 - Request is not valid given the current SASL state.
$ERROR_UNSUPPORTED_VERSION
35 - The version of API is not supported.
%ERROR
Contains the descriptions for possible error codes.
BITS64
Know you are working on 64 or 32 bit system
use 5.010;
use strict;
use warnings;
use Scalar::Util qw(
blessed
);
use Try::Tiny;
use Kafka qw(
$KAFKA_SERVER_PORT
$REQUEST_TIMEOUT
$RECEIVE_EARLIEST_OFFSET
$DEFAULT_MAX_NUMBER_OF_OFFSETS
$DEFAULT_MAX_BYTES
);
use Kafka::Connection;
use Kafka::Producer;
use Kafka::Consumer;
my ( $connection, $producer, $consumer );
try {
#-- Connection
$connection = Kafka::Connection->new( host => 'localhost' );
#-- Producer
$producer = Kafka::Producer->new( Connection => $connection );
# Sending a single message
$producer->send(
'mytopic', # topic
0, # partition
'Single message' # message
);
# Sending a series of messages
$producer->send(
'mytopic', # topic
0, # partition
[ # messages
'The first message',
'The second message',
'The third message',
]
);
#-- Consumer
$consumer = Kafka::Consumer->new( Connection => $connection );
# Get a list of valid offsets up max_number before the given time
my $offsets = $consumer->offsets(
'mytopic', # topic
0, # partition
$RECEIVE_EARLIEST_OFFSET, # time
$DEFAULT_MAX_NUMBER_OF_OFFSETS # max_number
);
if ( @$offsets ) {
say "Received offset: $_" foreach @$offsets;
} else {
warn "Error: Offsets are not received\n";
}
# Consuming messages
my $messages = $consumer->fetch(
'mytopic', # topic
0, # partition
0, # offset
$DEFAULT_MAX_BYTES # Maximum size of MESSAGE(s) to receive
);
if ( $messages ) {
foreach my $message ( @$messages ) {
if ( $message->valid ) {
say 'payload : ', $message->payload;
say 'key : ', $message->key;
say 'offset : ', $message->offset;
say 'next_offset: ', $message->next_offset;
} else {
say 'error : ', $message->error;
}
}
}
} catch {
my $error = $_;
if ( blessed( $error ) && $error->isa( 'Kafka::Exception' ) ) {
warn 'Error: (', $error->code, ') ', $error->message, "\n";
exit;
} else {
die $error;
}
};
# Closes and cleans up
undef $consumer;
undef $producer;
$connection->close;
undef $connection;
In order to install and use this package you will need Perl version 5.10 or later. Some modules within this package depend on other packages that are distributed separately from Perl. We recommend that you have the following packages installed before you install Kafka:
Compress::Snappy
Compress::LZ4Frame
Const::Fast
Data::Compare
Data::HexDump::Range
Data::Validate::Domain
Data::Validate::IP
Exception::Class
List::Utils
Params::Util
Scalar::Util::Numeric
String::CRC32
Sys::SigAction
Try::Tiny
Kafka package has the following optional dependencies:
Capture::Tiny
Clone
Config::IniFiles
File::HomeDir
Proc::Daemon
Proc::ProcessTable
Sub::Install
Test::Deep
Test::Exception
Test::NoWarnings
Test::TCP
If the optional modules are missing, some "prereq" tests are skipped.
Debug output can be enabled by setting level via one of the following environment variables:
PERL_KAFKA_DEBUG=1
- debug is enabled for the whole Kafka
package.
PERL_KAFKA_DEBUG=IO:1
- enable debug only for Kafka::IO only.
PERL_KAFKA_DEBUG=Connection:1
- enable debug only for particular Kafka::Connection.
It's possible to set different debug levels, like in the following example:
PERL_KAFKA_DEBUG=Connection:1,IO:2
See documentation for a particular module for explanation of various debug levels.
Connection constructor:
Make sure that you always connect to brokers using EXACTLY the same address or host name as specified in broker configuration (host.name in server.properties). Avoid using default value (when host.name is commented) in server.properties - always use explicit value instead.
Producer and Consumer methods only work with one topic and one partition at a time. Also module does not implement the Offset Commit/Fetch API.
Producer's, Consumer's, Connection's string arguments must be binary strings. Using Unicode strings may cause an error or data corruption.
This module does not support Kafka protocol versions earlier than 0.8.
Kafka::IO->new' uses Sys::SigAction and alarm()
to limit some internal operations. This means that if an external alarm()
was set, signal
delivery may be delayed.
With non-empty timeout, we use alarm()
internally in Kafka::IO and try preserving existing alarm()
if possible.
However, if Time::HiRes::ualarm() is set before calling Kafka modules,
its behaviour is unspecified (i.e. it could be reset or preserved etc.).
For gethostbyname
operations the non-empty timeout is rounded to the nearest greater positive integer;
any timeouts less than 1 second are rounded to 1 second.
You can disable the use of alarm()
by setting timeout => undef
in the constructor.
The Kafka package was written, tested, and found working on recent Linux distributions.
There are no known bugs in this package.
Please report problems to the "AUTHOR".
Patches are welcome.
All modules contain detailed information on the interfaces they provide.
The basic operation of the Kafka package modules:
Kafka - constants and messages used by the Kafka package modules.
Kafka::Connection - interface to connect to a Kafka cluster.
Kafka::Producer - interface for producing client.
Kafka::Consumer - interface for consuming client.
Kafka::Message - interface to access Kafka message properties.
Kafka::Int64 - functions to work with 64 bit elements of the protocol on 32 bit systems.
Kafka::Protocol - functions to process messages in the Apache Kafka's Protocol.
Kafka::IO - low-level interface for communication with Kafka server.
Kafka::Exceptions - module designated to handle Kafka exceptions.
Kafka::Internals - internal constants and functions used by several package modules.
A wealth of detail about the Apache Kafka and the Kafka Protocol:
Main page at http://kafka.apache.org/
Kafka Protocol at https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol
Kafka package is hosted on GitHub: https://github.com/TrackingSoft/Kafka
Sergey Gladkov
Please use GitHub project link above to report problems or contact authors.
Alexander Solovey
Jeremy Jordan
Sergiy Zuban
Nikolay Shulyakovskiy
Vlad Marchenko
Damien Krotkine
Greg Franklin
Copyright (C) 2012-2017 by TrackingSoft LLC.
This package is free software; you can redistribute it and/or modify it under the same terms as Perl itself. See perlartistic at http://dev.perl.org/licenses/artistic.html.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.