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QuickStart.md

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Quick Start

Before you can use EasyML Studio, you must configure the environment which include your development environment and runtime server environment which contains Preparation, Run Docker containers and Start services three steps to run it successfully.

Development Environment

Step 1: Import project to IDEA or Eclipse

import project to IDEA
  • Only support java version 1.7
configure JDK path

Step 2: Configure GWT Lib Path

  • Make sure your IDE have install Maven
  • Use Maven to down load all related dependency package
configure maven
  • Make sure you can see the whole External Libraries on the Project list
External libraries
  • Install GWT plugin in your IDE (IDEA user can skip this step)

Step 3: Create and run our EML web application

After you have get all dependencies, you can start building your EasyML Studio web app for the following steps:

  • Edit run configurations
Edit configuration
  • Add GWT web app via + at upper left corner, if you do not see GWT Configuration in the list, you might have something wrong in the step of Configure GWT Lib Path. Go back to the last step, resolve the problem.
Edit Easy ML
  • Use Super Dev Mode can allow you debugging your web app at the browser side. It is make debugging more effient, for which remember choosing it.
  • When you have finished all the steps above, you can click the green run button to make and debug the EasyML. After a while, you can browse EasyML in your Chrome to accesss it.
Easy ML home page

Preparation for virtual server cluster

Our server cluster is based on Docker, thus you can build run time environment on your own computer. It is convenient for you to develop project without any remote connections. Furthermore, you can also contribute to the server environments. The docker version server cluster is not stable and efficient, for which we can do a series of things on it. However, you first step to access it is installing Docker.

Step 1: Install Docker

  • Just follow the official guide to install Docker.
  • Make sure your docker service runs correctly via Docker info and Docker version
  • No matter which system your computer is, stop the Firewall of your system
  • If you are using centos 7, you also should stop the selinux, in order to avoiding run Docker container error.
  • Run sudo docker run helloworld to see if we have install docker successfully.

Step 2: Pull mysql server images from docker hub

  • Pull our mysql server images from our docker hub:

    docker pull nkxujun/mysql_eml

Step 3: Pull ubuntu_eml images from docker hub

  • Our Eml server images is based on ubuntu, so pull it first:

    docker pull nkxujun/ubuntu_eml

  • You can use docker images to see if you have pulled these two images successfully:

    eml_images

Step 4: Download install dependent package

Every single server in our cluster is created by one docker image, and this image can be built via a Dockerfile which has defined by us and includes all utilities we need such as hadoop. Thus we need to download the Dockerfile and all dependent files and configuration files from our google drive disk or Baidu Cloud.

Step 5: Build Eml server images

  • Enter the path of the files which you have download last step

  • Use build.sh to build our image, this process will last for a few minute
    sh build.sh

  • You can use docker images to see if you have built successfully:

    Origin_images

Run docker virtual server cluster

Build a network for docker virtual server cluster

  • Use sh build_network.sh to build a network which called shadownet:

    networks

Run all needed containers

  • You can use sh run_containers.sh to run all servers:

    net works

  • If your have run all these four server successed: mysql, hadoop-master, hadoop-slave1,hadoop-slave2, you can use docker ps to check

Confirm the connectivity between containers

Because the hadoop cluster network communication depend on ssh, we need to confirm that the three server can do ssh log-in without password.

  • We can use docker exec -it hadoop-master /bin/bash to enter the container named Hadoop-master

  • In Hadoop-master，use ssh hadoop-slave1 and ssh hadoop-slave2 to test the ssh function and do not forget exit after each ssh test:

    test ssh

  • If the ssh does not work, enter each container and execute this: /etc/init.d/ssh start

Start all services in cluster

Configure local hosts

  • Add your Localhost(Linux) or Docker IP(Windows) as hadoop-master and mysql to your hosts file, for example:

    Hosts

Init Mysql database

  • Run sh init_mysql.sh to prepare the databases for Oozie and EasyML Studio

Start HDFS，spark and Yarn service

  • Enter the hadoop-master container via docker exec -it hadoop-master /bin/bash (a vital important command to enter every container)
  • Run sh /root/start-hadoop.sh to start hadoop and spark service
  • You can use sh /root/run_wordcount.sh to test the hadoop service
  • Visit http://hadoop-master:50070/ in your browser to check namenode and every datanode's status:
namenode_web

Start and Oozie service

  • Enter the hadoop-master container via docker exec -it hadoop-master /bin/bash
  • Run sh /root/start-oozie.sh to start Oozie and Tomcat service, it will spend some time:
start oozie
browse_oozie

Visit EMLStudio test website to confirm correctness of whole process

  • Visit http://hadoop-master:18080/EMLStudio in your browser and log in via username: bdaict@hotmail.com and password: bdaict, you can find a example in the task list.
  • Clone it and submit to the server. If the task can run correctly, congratulations on your successful configuration.
Eml_example

Stop and restart containers

  • If you want to rebuild the cluster, you can use sh stop_containers.sh to stop and remove hadoop-master, hadoop-slave1 and hadoop-slave2 containers and use sh rm_images.sh to remove cluster image.
  • If you have restart your docker or entity machine, the containers need to be restarted, you can use sh restart_service.sh to restart all containers. But you need to note that after you have executed the sh restart_service.sh, you will enter the hadoop-master container, meanwhile you also need to execute the sh restart.sh in hadoop-master container to restart hadoop, spark and oozie service.