The pre-built package is the simplest option. Pre-built for Apache Hadoop 2.7 and later.There are two types of Spark packages available to download: Java 7+ is required for Spark which you can download from Oracle's website Integrating Spark with Jupyter Notebook requires the following packages:
#INSTALL SPARK LINUX PYTHON HOW TO#
The different components of Jupyter include:īe sure to check out the Jupyter Notebook beginner guide to learn more, including how to install Jupyter Notebook.Īdditionally check out some Jupyter Notebook tips, tricks and shortcuts. Jupyter Notebook has support for over 40 programming languages, with the most popular being Python, R, Julia and Scala. Jupyter notebooks an be converted to a number of open standard output formats including HTML, presentation slides, LaTeX, PDF, ReStructuredText, Markdown, and Python. The actual Jupyter notebook is nothing more than a JSON document containing an ordered list of input/output cells. Jupyter Notebook is a web-based interactive computational environment in which you can combine code execution, rich text, mathematics, plots and rich media to create a notebook. As of this writing, Spark's latest release is 2.1.1.
The release of Spark 2.0 included a number of significant improvements including unifying DataFrame and DataSet, replacing SQLContext and HiveContext with the SparkSession entry point, and much more. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.