export MACHINE_DRIVER=amazonec2
export AWS_ACCESS_KEY_ID=AKIAIRLNSTJUPRAPLISA
export AWS_SECRET_ACCESS_KEY=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
export AWS_DEFAULT_REGION=us-west-2
export AWS_INSTANCE_TYPE=t2.nano
for N in $(seq 1 5); do
docker-machine create node$N
docker-machine ssh node$N sudo usermod -aG docker ubuntu
done
aws ec2 authorize-security-group-ingress --group-name docker-machine --protocol -1 --cidr 0.0.0.0/0
docker-machine ssh node1
# Docker Compose
cd
sudo curl -L \
https://github.com/docker/compose/releases/download/1.10.0/docker-compose-$(uname -s)-$(uname -m) \
-o /usr/local/bin/docker-compose
chmod +x /usr/local/bin/docker-compose
docker-compose --version
#Docker-machine
curl -L https://github.com/docker/machine/releases/download/v0.9.0/docker-machine-`uname -s`-`uname -m` \
> /usr/local/bin/docker-machine && \
chmod +x /usr/local/bin/docker-machine
docker-machine --version
# Crea un volumen de docker (para compartir storage en el cluster y el driver)
docker volume create --name dpa_store --opt type=none \
--opt device=PATH_COMPLETO/spark-ejemplo --opt o=bind ; \
docker-compose up -d
docker run -it --name pyspark-ipython \
--network sparkejemplo_dpa_net \
--volume dpa_store:/spark-ejemplo \
dpa/spark-client \
/bin/bash
pip install ipython pandas click # Instala paquetes que usaremos
PYSPARK_DRIVER_PYTHON=/usr/local/bin/ipython pyspark --master spark://master:7077