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You're reading from Apache Spark 2.x for Java Developers

Product typeBook

Published inJul 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781787126497

Edition1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Data Streaming

Authors (2):

Sourav Gulati

Sumit Kumar

View More author details

Spark REPL also known as CLI

In Chapter 1, Introduction to Spark, we learnt that one of the advantages of Apache Spark over the MapReduce framework is interactive processing. Apache Spark achieves the same using Spark REPL.

Spark REPL or Spark shell, also known as Spark CLI, is a very useful tool for exploring the Spark programming. REPL is an acronym for Read-Evaluate-Print Loop. It is an interactive shell used by programmers to interact with a framework. Apache Spark also comes with REPL that beginners can use to understand the Spark programming model.

To launch the Spark REPL, we will execute the command that we executed in the previous section:

$SPARK_HOME/bin/spark-shell

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel).
16/11/01 16:38:43 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/11...

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Apache Spark 2.x for Java Developers

Published in: Jul 2017Publisher: PacktISBN-13: 9781787126497

Authors (2)

Sourav Gulati

Sourav Gulati is associated with software industry for more than 7 years. He started his career with Unix/Linux and Java and then moved towards big data and NoSQL World. He has worked on various big data projects. He has recently started a technical blog called Technical Learning as well. Apart from IT world, he loves to read about mythology.
Read more about Sourav Gulati

Sumit Kumar

Sumit Kumar is a developer with industry insights in telecom and banking. At different junctures, he has worked as a Java and SQL developer, but it is shell scripting that he finds both challenging and satisfying at the same time. Currently, he delivers big data projects focused on batch/near-real-time analytics and the distributed indexed querying system. Besides IT, he takes a keen interest in human and ecological issues.
Read more about Sumit Kumar

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You're reading from Apache Spark 2.x for Java Developers

Spark REPL also known as CLI

Unlock this book and the full library FREE for 7 days

Authors (2)

Apache Spark Quick Start Guide

Learning Apache Spark 2

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PySpark Cookbook

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