hw-kafka-client: Kafka bindings for Haskell

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Apache Kafka bindings backed by the librdkafka C library.

Features include:

  • Consumer groups: auto-rebalancing consumers

  • Keyed and keyless messages producing/consuming

  • Batch producing messages


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Versions [RSS] 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, 2.4.1, 2.4.3, 2.4.4, 2.5.0, 2.6.0, 2.6.1, 3.0.0, 3.1.0, 3.1.1, 3.1.2, 4.0.0, 4.0.1, 4.0.2, 4.0.3, 4.0.4, 5.0.0, 5.3.0 (info)
Dependencies base (>=4.6 && <5), bifunctors, bytestring, containers, hw-kafka-client, semigroups, temporary, transformers, unix [details]
License MIT
Author Alexey Raga <alexey.raga@gmail.com>
Maintainer Alexey Raga <alexey.raga@gmail.com>
Category Database
Home page https://github.com/haskell-works/hw-kafka-client
Bug tracker https://github.com/haskell-works/hw-kafka-client/issues
Source repo head: git clone git://github.com/haskell-works/hw-kafka-client.git
Uploaded by alexeyraga at 2017-12-15T10:08:30Z
Distributions LTSHaskell:5.3.0, NixOS:5.3.0, Stackage:5.3.0
Reverse Dependencies 9 direct, 1 indirect [details]
Executables kafka-client-example
Downloads 22029 total (160 in the last 30 days)
Rating 2.25 (votes: 4) [estimated by Bayesian average]
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Status Docs uploaded by user
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Readme for hw-kafka-client-2.3.0

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hw-kafka-client

CircleCI

Kafka bindings for Haskell backed by the librdkafka C module.

Credits

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

Ecosystem

HaskellWorks Kafka ecosystem is described here: https://github.com/haskell-works/hw-kafka

Consumer

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.

Example:

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

or

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

A working consumer example can be found here: ConsumerExample.hs
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 () 

Producer

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 message.timeout.ms 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.

Example

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 } 

Installation

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 https://github.com/edenhill/librdkafka cd librdkafka ./configure 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 http://kafka.apache.org/documentation.html#quickstart

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

$ docker-compose up