Skip to content

Latest commit

 

History

History
86 lines (60 loc) · 2.53 KB

README.md

File metadata and controls

86 lines (60 loc) · 2.53 KB

Toolbox project

  • build a microservice-based application that would allow the users to run Apache Hadoop, Spark, Jupyter Notebooks, SonarQube and SonarScanner without having to install any of them.
  • have one main microservice that acts as the entry point for your overall application
  • docker containers deployed to Kubernetes cluster
  • Kubernetes cluster deployed to Google Cloud Platform

DEMO

https://www.youtube.com/watch?v=RgIFpedW3fY

Web App Access Link / Run my app

Navigate to http://35.223.16.139:5000/

Steps

  1. go to GCP, and create the project
  2. open the cloud shell and pull, tag and push all images from docker hub
docker pull image_name
docker tag image_name gcr.io/project_id/image_name 
docker push gcr.io/project_id/image_name 
for my web app I build docker first and then push to my docker hub
 docker build -t xynicole/project . --platform linux/amd64
docker push xynicole/project
  1. click hamburger button and go to Kubernets Engine, create a Clusters
  2. click hamburger button and go to Contain Registry
  3. click each images name and click 3 dots on the right side and deploy to GKE
  4. edit the enviroment variables and configuration, finsh
https://github.com/big-data-europe/docker-hadoop/blob/master/docker-compose.yml
https://github.com/big-data-europe/docker-hadoop/blob/master/hadoop.env
For Hadoop, I edit variables from these 2 files
CORE_CONF_fs_defaultFS=hdfs://namenode:9000
CORE_CONF_hadoop_http_staticuser_user=root
CORE_CONF_hadoop_proxyuser_hue_hosts=*
CORE_CONF_hadoop_proxyuser_hue_groups=*
CORE_CONF_io_compression_codecs=org.apache.hadoop.io.compress.SnappyCodec

HDFS_CONF_dfs_webhdfs_enabled=true
HDFS_CONF_dfs_permissions_enabled=false
HDFS_CONF_dfs_namenode_datanode_registration_ip___hostname___check=false
  1. go to workload, click each name, modify yaml file, for instance, in haddoop namedone change # of replicas to 1, datanode chaneg to 2
  2. click Action, and then Expose and then set port number and create a load balance for all containters
  3. go to Service &Ingress and check if every endpoints works or not
  4. click endpoints to access the web app

Ports for each one

Web app: 5000

Hadoop: 9870 and 9000

Jupyter: 8888

Sonarqube: 9000

Spark: 8080

images

web app: https://hub.docker.com/r/xynicole/1660final

hadoop: https://hub.docker.com/r/bde2020/hadoop-namenode https://hub.docker.com/r/bde2020/hadoop-datanode

jupyter: https://hub.docker.com/r/jupyter/base-notebook/

sonarqube: https://hub.docker.com/_/sonarqube

spark: https://hub.docker.com/r/bitnami/spark