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You're reading from  Fast Data Processing with Spark 2 - Third Edition

Product typeBook
Published inOct 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781785889271
Edition3rd Edition
Languages
Scala
Tools
Apache Spark
Concepts
Data Processing
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Author (1)
Holden Karau
Holden Karau
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Holden Karau

Holden Karau is a software development engineer and is active in the open source. She has worked on a variety of search, classification, and distributed systems problems at IBM, Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor's of mathematics degree in computer science. Other than software, she enjoys playing with fire and hula hoops, and welding.
Read more about Holden Karau

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The Spark shell

The Spark shell is an excellent tool for rapid prototyping with Spark. It works with Scala and Python. It allows you to interact with the Spark cluster and as a result of which, the full API is under your command. It can be great for debugging, just trying things out, or interactively exploring new Datasets or approaches.

The previous chapter should have gotten you to the point of having a Spark instance running; now all you need to do is start your Spark shell and point it at your running instance with the command given in the table we're soon going to check out.

For local mode, Spark will start an instance when you invoke the Spark shell or start a Spark program from an IDE. So, a local installation on a Mac or Linux PC/laptop is sufficient to start exploring the Spark shell. Not having to spin up a real cluster to do the prototyping is an important and useful feature of Spark. The Quick Start guide at http://spark.apache.org/docs/latest/quick-start.html is a good reference...

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Fast Data Processing with Spark 2 - Third Edition
Published in: Oct 2016Publisher: PacktISBN-13: 9781785889271
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Holden Karau

Holden Karau is a software development engineer and is active in the open source. She has worked on a variety of search, classification, and distributed systems problems at IBM, Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor's of mathematics degree in computer science. Other than software, she enjoys playing with fire and hula hoops, and welding.
Read more about Holden Karau

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