2. Setup your development environment

2.1. Prerequisites

We assume you are using Linux or MacOS. To get started, make sure you have all dependencies installed:


2.2. Setup Go

Setup your Go environment by determining a directory for your go path in $GOPATH. All your Go files project files will be stored there. For the remainder of this documnet, we assume that your $GOPATH is set to ~/go/.

2.3. Start running your local instance

For developing, you might want to start a local instance of the DIA ecosystem. Just clone our repository:

mkdir $GOPATH/src/github.com/diadata-org/
cd $GOPATH/src/github.com/diadata-org/
git clone git@github.com/diadata-org/diadata

and build everything. We use a docker swarm to host a reliable and redundant database. Connected to the database are all data collectors, with some of them part of our default stack. To install and run that default stack, start a local docker swarm by typing:

docker swarm init

Then it is time to build the first containers. This might take some while, as the images have to be downloaded and compiled:

docker-compose build

Tag your local machine node in your swarm with labels for kafka and the zookeeper:

docker node update $(docker node ls | tail -n 1 | cut -d " " -f 1) --label-add kafka=1
docker node update $(docker node ls | tail -n 1 | cut -d " " -f 1) --label-add zoo=1

After that you can deploy the stack on your swarm:

docker stack deploy -c docker-compose.kafka.yml kafka

Use docker ps to see which containers are running.

Your initial setup is now complete and you can start developing your own data scraper.