The hw-kafka-client package

[ Tags: database, library, mit ] [ Propose Tags ]

Apache Kafka bindings backed by the librdkafka C library.

Features include:

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Versions 1.0.0, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.4.0
Dependencies base (>=4.6 && <5), bifunctors, bytestring, containers, hw-kafka-client, semigroups, temporary, transformers, unix [details]
License MIT
Author Alexey Raga <>
Maintainer Alexey Raga <>
Category Database
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Source repo head: git clone git://
Uploaded Thu Mar 15 11:17:10 UTC 2018 by alexeyraga
Distributions NixOS:2.3.3
Executables kafka-client-example
Downloads 2702 total (90 in the last 30 days)
Rating 2.5 (votes: 3) [estimated by rule of succession]
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Maintainer's Corner

For package maintainers and hackage trustees

Readme for hw-kafka-client-2.4.0

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Kafka bindings for Haskell backed by the librdkafka C module.


This project is inspired by Haskakafka which unfortunately doesn't seem to be actively maintained.


HaskellWorks Kafka ecosystem is described here:


High level consumers are supported by librdkafka starting from version 0.9. High-level consumers provide an abstraction for consuming messages from multiple partitions and topics. They are also address scalability (up to a number of partitions) by providing automatic rebalancing functionality. When a new consumer joins a consumer group the set of consumers attempt to "rebalance" the load to assign partitions to each consumer.


$ stack build --flag hw-kafka-client:examples


$ stack build --exec kafka-client-example --flag hw-kafka-client:examples

A working consumer example can be found here: ConsumerExample.hs</br> To run an example please compile with the examples flag.

import Data.Monoid ((<>))
import Kafka
import Kafka.Consumer

-- Global consumer properties
consumerProps :: ConsumerProperties
consumerProps = brokersList [BrokerAddress "localhost:9092"]
             <> groupId (ConsumerGroupId "consumer_example_group")
             <> noAutoCommit
             <> logLevel KafkaLogInfo

-- Subscription to topics
consumerSub :: Subscription
consumerSub = topics [TopicName "kafka-client-example-topic"]
           <> offsetReset Earliest

-- Running an example
runConsumerExample :: IO ()
runConsumerExample = do
    res <- runConsumer consumerProps consumerSub processMessages
    print res

processMessages :: KafkaConsumer -> IO (Either KafkaError ())
processMessages kafka = do
    mapM_ (\_ -> do
                   msg1 <- pollMessage kafka (Timeout 1000)
                   putStrLn $ "Message: " <> show msg1
                   err <- commitAllOffsets OffsetCommit kafka
                   putStrLn $ "Offsets: " <> maybe "Committed." show err
          ) [0 .. 10]
    return $ Right ()


kafka-client producer supports sending messages to multiple topics. Target topic name is a part of each message that is to be sent by produceMessage.

A working producer example can be found here: ProducerExample.hs

Delivery reports

Kafka Producer maintains its own internal queue for outgoing messages. Calling produceMessage does not mean that the message is actually written to Kafka, it only means that the message is put to that outgoing queue and that the producer will (eventually) push it to Kafka.

However, it is not always possible for the producer to send messages to Kafka. Network problems or Kafka cluster being offline can prevent the producer from doing it.

When a message cannot be sent to Kafka for some time (see configuration option), the message is dropped from the outgoing queue and the delivery report indicating an error is raised.

It is possible to configure hw-kafka-client to set an infinite message timeout so the message is never dropped from the queue:

producerProps :: ProducerProperties
producerProps = brokersList [BrokerAddress "localhost:9092"]
             <> sendTimeout (Timeout 0)           -- for librdkafka "0" means "infinite".

Delivery reports provide the way to detect when producer experiences problems sending messages to Kafka.

Currently hw-kafka-client only supports delivery error callbacks:

producerProps :: ProducerProperties
producerProps = brokersList [BrokerAddress "localhost:9092"]
             <> setCallback (deliveryErrorsCallback print)

In the example above when the producer cannot deliver the message to Kafka, the error will be printed (and the message will be dropped).

When sendTimeout is not configured to Timeout 0 (infinite), no error callbacks will be delivered. This is because no message will ever be timing out for sending.


import Control.Monad (forM_)
import Kafka
import Kafka.Producer

-- Global producer properties
producerProps :: ProducerProperties
producerProps = brokersList [BrokerAddress "localhost:9092"]
             <> logLevel KafkaLogDebug

-- Topic to send messages to
targetTopic :: TopicName
targetTopic = TopicName "kafka-client-example-topic"

-- Run an example
runProducerExample :: IO ()
runProducerExample = do
    res <- runProducer producerProps sendMessages
    print res

sendMessages :: KafkaProducer -> IO (Either KafkaError ())
sendMessages prod = do
  err1 <- produceMessage prod (mkMessage Nothing (Just "test from producer") )
  forM_ err1 print

  err2 <- produceMessage prod (mkMessage (Just "key") (Just "test from producer (with key)"))
  forM_ err2 print

  return $ Right ()

mkMessage :: Maybe ByteString -> Maybe ByteString -> ProducerRecord
mkMessage k v = ProducerRecord
                  { prTopic = targetTopic
                  , prPartition = UnassignedPartition
                  , prKey = k
                  , prValue = v


Installing librdkafka

Although librdkafka is available on many platforms, most of the distribution packages are too old to support kafka-client. As such, we suggest you install from the source:

git clone
cd librdkafka
make && make install

Sometimes it is helpful to specify openssl includes explicitly:

LDFLAGS=-L/usr/local/opt/openssl/lib CPPFLAGS=-I/usr/local/opt/openssl/include ./configure

Installing Kafka

The full Kafka guide is at

Alternatively docker-compose can be used to run Kafka locally inside a Docker container. To run Kafka inside Docker:

$ docker-compose up