![]() ![]() ![]() In general, warning messages can be ignored for simple scenarios. These messages are very common when running Spark because Spark has many optional components that, if not found, generate warnings. Notice the multiple warning messages in Figure 1. You can also interact with Spark by using Python language commands or by writing Java programs. There are other ways to interact with Spark, but using a Scala interpreter is the most common approach, in part because the Spark framework is written mostly in Scala. Scala is a scripting language that’s based on Java. The spark-shell command generates a Scala interpreter that runs in the shell and in turn issues a Scala prompt (scala>). From a Windows command shell running in administrative mode, I started a Spark environment by issuing a spark-shell command. The best way to see where this article is headed is to take a look at the demo interactive session shown in Figure 1. In this article I’ll describe how to install Spark on a machine running a Windows OS, and explain basic Spark functionality from a. Spark is an open source computing framework for Big Data, and it’s becoming increasingly popular, especially in machine learning scenarios. Volume 30 Number 13 Test Run - Introduction to Spark for. ![]()
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