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Getting Started with Spark .NET on MacOS

These instructions will show you how to run a .NET for Apache Spark app using .NET Core on MacOSX.

Pre-requisites

  • Download and install .NET Core 2.1 SDK
  • Install Java 8
    • Select the appropriate version for your operating system e.g., jdk-8u231-macosx-x64.dmg.
    • Install using the installer and verify you are able to run java from your command-line
  • Download and install Apache Spark 2.4.4:
    • Add the necessary environment variables SPARK_HOME e.g., ~/bin/spark-2.4.4-bin-hadoop2.7/
      export SPARK_HOME=~/bin/spark-2.4.4-bin-hadoop2.7/
      export PATH="$SPARK_HOME/bin:$PATH"
      source ~/.bashrc
  • Download and install Microsoft.Spark.Worker release:
    • Select a Microsoft.Spark.Worker release from .NET for Apache Spark GitHub Releases page and download into your local machine (e.g., /bin/Microsoft.Spark.Worker/).
    • IMPORTANT Create a new environment variable using export DOTNET_WORKER_DIR <your_path> and set it to the directory where you downloaded and extracted the Microsoft.Spark.Worker (e.g., /bin/Microsoft.Spark.Worker/).

Authoring a .NET for Apache Spark App

  • Use the dotnet CLI to create a console application.
    dotnet new console -o HelloSpark
    
  • Install Microsoft.Spark Nuget package into the project from the spark nuget.org feed - see Ways to install Nuget Package
    cd HelloSpark
    dotnet add package Microsoft.Spark
    
  • Replace the contents of the Program.cs file with the following code:
    using Microsoft.Spark.Sql;
    
    namespace HelloSpark
    {
        class Program
        {
            static void Main(string[] args)
            {
                var spark = SparkSession.Builder().GetOrCreate();
                var df = spark.Read().Json("people.json");
                df.Show();
            }
        }
    }
  • Use the dotnet CLI to build the application:
    dotnet build

Running your .NET for Apache Spark App

  • Open your terminal and navigate into your app folder:

    cd <your-app-output-directory>
  • Create people.json with the following content:

    { "name" : "Michael" }
    { "name" : "Andy", "age" : 30 }
    { "name" : "Justin", "age" : 19 }
  • Run your app

    spark-submit \
    --class org.apache.spark.deploy.dotnet.DotnetRunner \
    --master local \
    microsoft-spark-2.4.x-<version>.jar \
    dotnet HelloSpark.dll

    Note: This command assumes you have downloaded Apache Spark and added it to your PATH environment variable to be able to use spark-submit, otherwise, you would have to use the full path (e.g., ~/spark/bin/spark-submit).

  • The output of the application should look similar to the output below:

    +----+-------+
    | age|   name|
    +----+-------+
    |null|Michael|
    |  30|   Andy|
    |  19| Justin|
    +----+-------+