After reading notes from Peter's talk I like the idea of using a config object where consumers of the library can override the defaults. https://peter.bourgon.org/go-best-practices-2016/#configuration |
||
|---|---|---|
| emitter | ||
| examples | ||
| vendor | ||
| .gitignore | ||
| buffer.go | ||
| buffer_test.go | ||
| checkpoint.go | ||
| checkpoint_test.go | ||
| config.go | ||
| consumer.go | ||
| CONTRIBUTING.md | ||
| handler.go | ||
| MIT-LICENSE | ||
| README.md | ||
Golang Kinesis Connectors
Kinesis connector applications written in Go
With the new release of Kinesis Firehose I'd recommend using the Lambda Streams to Firehose project for loading data directly into S3 and Redshift.
Inspired by the Amazon Kinesis Connector Library. This library is intended to be a lightweight wrapper around the Kinesis API to handle batching records, setting checkpoints, respecting ratelimits, and recovering from network errors.
Overview
The consumer expects a handler func that will process a buffer of incoming records.
func main() {
var(
app = flag.String("app", "", "The app name")
stream = flag.String("stream", "", "The stream name")
)
flag.Parse()
// override library defaults
cfg := connector.Config{
MaxBatchCount: 400,
}
// create new consumer
c := connector.NewConsumer(*app, *stream, cfg)
// process records from the stream
c.Start(connector.HandlerFunc(func(b connector.Buffer) {
fmt.Println(b.GetRecords())
}))
select {}
}
Logging
Apex Log is used to log Info and Errors from within the libarary. The default handler is "text" and can be overrideen with other LogHandlers from the the Config struct:
import(
"github.com/apex/log"
"github.com/apex/log/handlers/json"
)
func main() {
// ...
cfg := connector.Config{
LogHandler: json.New(os.Stderr),
}
}
Installation
Get the package source:
$ go get github.com/harlow/kinesis-connectors
Fetching Dependencies
Install gvt:
$ export GO15VENDOREXPERIMENT=1
$ go get github.com/FiloSottile/gvt
Install dependencies into ./vendor/:
$ gvt restore
Examples
Use the seed stream code to put sample data onto the stream.
Contributing
Please see CONTRIBUTING.md for more information. Thank you, contributors!
License
Copyright (c) 2015 Harlow Ward. It is free software, and may be redistributed under the terms specified in the LICENSE file.
