Kinesis is a wrapper for the official AWS SDK client.
Add this line to your application's Gemfile:
gem 'kinesis'
And then execute:
$ bundle
Or install it yourself as:
$ gem install kinesis
The producer streaming a single event by api call.
producer = Kinesis.build_producer('my_stream')
event = 'event to be streamed'
producer.produce(event)
It's possible to send a collection of events using a single api call, using the multi_produce
.
producer = Kinesis.build_producer('my_stream')
events = [
'some event',
'another event'
]
producer.multi_produce(events)
The consumer fetches all shards from the stream and loops over each shard fetching events calling the block for every iteration.
After each shard loop a checkpoint is saved using the last sequence number read from Kinesis record.
The checkpoint storage by default is in memory, using the Kinesis::Storage::Memory
instance, but
it can be stored on Redis, using the Kinesis::Storage::Redis
instance, for a persistent checkpoint when the process is restarted.
consumer = Kinesis.build_consumer('my_stream')
while true do
consumer.consume do |shard, events|
do_something(events)
end
end
By default the consumer fetches 1000
events each time, but you can set a different limit size.
redis = Redis.new
storage = Kinesis::Storage::Redis.new(redis)
consumer = Kinesis.build_consumer('my_stream', storage: storage)
while true do
consumer.consume(100) do |shard, records|
do_something(records)
end
end
After checking out the repo, run bin/setup
to install dependencies. Then, run rake spec
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/ConsultaRemedios/kinesis.
The gem is available as open source under the terms of the MIT License.