In this blog, we are creating a Dockerfile for the Docker build command. There are many ways to build a Docker image. Optional: A Docker registry to distribute the container imageīuilding the RStudio Docker image on Linux on POWER.An IBM Spectrum Conductor with Spark cluster installed and running.Internet access to pull reference images and download required software.At least 10 GB of free space on the hard disk for the image and intermediate files.In order to build and use RStudio as a Dockerized notebook in IBM Spectrum Conductor with Spark on Linux on POWER, ensure that you meet the following prerequisites: Users can use the images built in this blog to in order to add the RStudio notebook to their IBM Spectrum Conductor with Spark cluster. This blog details the basic steps on how to build the Docker container image for RStudio on Linux on POWER (Ubuntu). If you are using Linux on POWER, you might need to build an image yourself. You can find Docker images through a Docker registry (for example, the public Docker registry), but most of these images are built for the Linux X86 platform. Containers are also useful for sealing interactive tools for integration with IBM Conductor with Spark. code, runtime, system tools, system libraries, and settings). ![]() Using containers is an easy way to package software with everything needed to run it (i.e. It is, however, quite easy for you to add other notebooks (for example, RStudio) by yourself. IBM Spectrum Conductor with Spark ships only Jupyter and Zeppelin notebooks out-of-box. The resources to run these 3 rd party tools are scheduled together with other applications in your cluster. In IBM Spectrum Conductor with Spark, you can integrate 3 rd party interactive tools such as notebooks into your Spark instance group.
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