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creating-container.md

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How to Create a Fresh Image

You may want to rebuild this image if the existing one alexmerced/iceberg-starter doesn't work for your architecture (Mainly for ARM users).

  1. Make sure you have docker installed

  2. create an empty folder

  3. In the folder create a file called DOCKERFILE with the following:

## Starting from Ubuntu
FROM ubuntu:22.04

## Create a Non-Root User
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update && apt-get install -y --no-install-recommends dialog apt-utils
RUN apt-get update && apt-get -y install sudo && apt-get install wget -y && apt-get install curl -y && apt-get install nano
RUN useradd -m docker && echo "docker:docker" | chpasswd && adduser docker sudo
RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers

## Switch to Non-Root User
USER docker

## Set Home to Workdir
WORKDIR /home/docker/

## Install TZData
RUN DEBIAN_FRONTEND=noninteractive TZ="America/New York" sudo -E apt-get -y install tzdata

## Install Git
RUN sudo apt install git -y

## Install Java 17
RUN sudo wget https://download.java.net/java/GA/jdk17/0d483333a00540d886896bac774ff48b/35/GPL/openjdk-17_linux-x64_bin.tar.gz
RUN sudo tar xvf openjdk-17_linux-x64_bin.tar.gz
RUN sudo mv jdk-17 /opt/
RUN echo 'JAVA_HOME=/opt/jdk-17' >> ~/.bashrc
RUN echo 'PATH=$PATH:$JAVA_HOME/bin' >> ~/.bashrc
RUN echo "alias java17='/opt/jdk-17/bin/java'" >> ~/.bashrc
RUN . ~/.bashrc

## Install Java 11 for Spark
RUN sudo apt-get install openjdk-11-jdk -y

## Install Python 2, 3 and Pip/Pip3
RUN sudo apt-get install python2 python3 pip -y

## Insall Coursier
RUN curl -fL https://github.com/coursier/launchers/raw/master/cs-x86_64-pc-linux.gz | gzip -d > cs
RUN sudo chmod +x cs 
RUN ./cs setup -y
RUN sudo ./cs install scala3
RUN sudo ./cs install scala3-compiler
RUN echo 'PATH=$PATH:~/.local/share/coursier/bin' >> ~/.bashrc
RUN . ~/.bashrc

## Install Apache Spark
RUN sudo apt-get install python3 python3-dev -y
RUN sudo wget https://dlcdn.apache.org/spark/spark-3.3.1/spark-3.3.1-bin-hadoop3.tgz
RUN sudo mkdir /opt/spark
# RUN sudo tar -xvzf spark-3.3.0-bin-hadoop3.2.tgz -C /opt/spark
RUN sudo tar -xf spark-3.3.1-bin-hadoop3.tgz -C /opt/spark --strip-component 1
RUN sudo chmod -R 777 /opt/spark
RUN echo 'SPARK_HOME=/opt/spark' >> ~/.bashrc
RUN echo 'PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbin' >> ~/.bashrc
RUN echo 'PYSPARK_PYTHON=/usr/bin/python3' >> ~/.bashrc
RUN . ~/.bashrc

## Start Container
ENTRYPOINT bash
  1. Open terminal in this folder and build the image with any name you'd like, I'll be calling it myname/iceberg-starter

docker build -t myname/iceberg-starter .

Don't forget the period at the end as that tell docker to look in the current folder for a file called Dockerfile. It will then begin building the container which may take an hour or so.

  1. Once the container is done building, you can run the container.

docker run --name iceberg-env -a myname/iceberg-starter

This will run the container and attach itself to terminal. You can exit this attached mode by running exit.

Outside of attached mode you can use the following command to keep using the same env.

  • docker stop iceberg-env stop the container

  • docker start iceberg-env turn the container on

  • docker attach iceberg-env attach to the container if its on