Iziren / Pipestream

Building the infrastructure for Data Engineering

Smithy

This is the sample application we build from to demonstrate the features and benefits of Blacksmith, the data engineering platform we use at Nunchi.

Overview

Sources and triggers

Sources	Triggers	Mode	Details	Flows to execute when triggered
api	register	HTTP	Method: POST, Path: /register	OnRegister
postgres	dummy_cron	CRON	Interval: @every 1m
postgres	dummy_cdc	CDC

Flows

Flows	Actions to run
OnRegister	crm.register, postgres.register

Destinations and actions

Destinations	Actions	Realtime	On success	On failure	On discard
crm	register	Yes	New job notify		New job notify
crm	notify	No
postgres	register	Yes

Usage

Start the server

First, the Blacksmith application must be up and running:

$ docker-compose up

Your first event

If you want to test the project without any modification, you can make a POST request at http://localhost:8080/register with the following JSON payload:

{
	"context": {
		"locale": "fr-FR",
		"ip": "127.0.0.1"
	},
	"data": {
		"first_name": "john",
		"last_name": "doe"
	}
}

The HTTP response will contains meta data about the event, the marshaled payload sent, and the jobs that will be executed.

Also, you can take a look at the data persisted in your PostgreSQL store. You will see the events, their jobs, and related transitions.

Links

• Blacksmith repository on GitHub
• Blacksmith guides on Nunchi website
• API reference on Go developer portal

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License

Repository licensed under the MIT License.