- #INSTALL SPARK ON WINDOWS WITH JUPYTER NOTEBOOK INSTALL#
- #INSTALL SPARK ON WINDOWS WITH JUPYTER NOTEBOOK SOFTWARE#
- #INSTALL SPARK ON WINDOWS WITH JUPYTER NOTEBOOK CODE#
It also allows us to make additional files such as data sources (e.g., CSV, Excel) accessible to our Jupyter notebooks. This makes it so notebooks we create are accessible in our spark-docker folder on our local computer. The -v $PWD:/home/jovyan/work allows us to map our spark-docker folder (which should be our current directory - $PWD) to the container’s /home/joyvan/work working directory (i.e., the directory the Jupyter notebook will run from). This will allow us to connect to the Jupyter Notebook server since it listens on port 8888. The -p 8888:8888 makes the container’s port 8888 accessible to the host (i.e., your local computer) on port 8888.
The -d runs the container in the background. What’s going on when we run that command? $ docker run -d -p 8888:8888 -v $PWD:/home/jovyan/work -name spark jupyter/pyspark-notebook See “Create a Docker group” for more info. So you don’t have to sudo each time you run a docker command, I highly recommend you add your user ( ubuntu in the example below) to the docker user group.
error if you don’t use sudo before any docker commands. Note: On Linux, you will get a Can't connect to docker daemon.
#INSTALL SPARK ON WINDOWS WITH JUPYTER NOTEBOOK INSTALL#
Follow the instructions in the install / get started links for your particular operating system: Pretty neat, huh? Install Dockerįirst you’ll need to install Docker. That means you’ll be able to generally follow the same steps on your local Linux/Mac/Windows machine as you will on a cloud virtual machine (e.g., AWS EC2 instance). You’ll also be able to use this to run Apache Spark regardless of the environment (i.e., operating system). Specifically, everything needed to run Apache Spark. In this tutorial, we’ll take advantage of Docker’s ability to package a complete filesystem that contains everything needed to run. It also helps to understand how Docker “containers” relate (somewhat imperfectly) to shipping containers.
#INSTALL SPARK ON WINDOWS WITH JUPYTER NOTEBOOK SOFTWARE#
This guarantees that the software will always run the same, regardless of its environment.” “Docker containers wrap a piece of software in a complete filesystem that contains everything needed to run: code, runtime, system tools, system libraries – anything that can be installed on a server. Additionally, using this approach will work almost the same on Mac, Windows, and Linux.Ĭurious how? Let me show you! Wait a second! What exactly is Docker?Īccording to the official Docker website:
#INSTALL SPARK ON WINDOWS WITH JUPYTER NOTEBOOK CODE#
Are you learning or experimenting with Apache Spark? Do you want to quickly use Spark with a Jupyter iPython Notebook and Pyspark, but don’t want to go through a lot of complicated steps to install and configure your computer? Are you in the same position as many of my Metis classmates: you have a Linux computer and are struggling to install Spark? One option that allows you to get started quickly with writing Python code for Apache Spark is using Docker containers.
0 kommentar(er)
