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You're reading from  Fast Data Processing Systems with SMACK Stack

Product typeBook
Published inDec 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781786467201
Edition1st Edition
Languages
Scala
Tools
MesosApache Spark
Concepts
Data Processing
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Author (1)
Raúl Estrada
Raúl Estrada
author image
Raúl Estrada

Raúl Estrada has been a programmer since 1996 and a Java developer since 2001. He loves all topics related to computer science. With more than 15 years of experience in high-availability and enterprise software, he has been designing and implementing architectures since 2003. His specialization is in systems integration, and he mainly participates in projects related to the financial sector. He has been an enterprise architect for BEA Systems and Oracle Inc., but he also enjoys web, mobile, and game programming. Raúl is a supporter of free software and enjoys experimenting with new technologies, frameworks, languages, and methods. Raúl is the author of other Packt Publishing titles, such as Fast Data Processing Systems with SMACK and Apache Kafka Cookbook.
Read more about Raúl Estrada

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Spark core concepts

Now that we have Spark running in our shell, we can learn about programming in greater detail. A Spark application consists of a driver program, which is responsible for distribution of the operations among the cluster members. The driver program also distributes the data structure fragments in the cluster, and then applies operations in a distributed way.

The driver programs access the SparkContext object representing the connection to the cluster. In the shell, it's always accessed through the sc variable. To see what type sc is:

scala>sc 
res1: org.apache.spark.SparkContext = org.apache.spark.SparkContext@e4b54d3

To run operations, driver programs have a number of nodes called executors. For example, if we run a simple count() operation in a cluster, the count() operation work is distributed among all the cluster members, each on their portion of file assigned to them by the driver program.

In our examples, as we only have one machine where we run the Spark shell...

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Fast Data Processing Systems with SMACK Stack
Published in: Dec 2016Publisher: PacktISBN-13: 9781786467201
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Raúl Estrada

Raúl Estrada has been a programmer since 1996 and a Java developer since 2001. He loves all topics related to computer science. With more than 15 years of experience in high-availability and enterprise software, he has been designing and implementing architectures since 2003. His specialization is in systems integration, and he mainly participates in projects related to the financial sector. He has been an enterprise architect for BEA Systems and Oracle Inc., but he also enjoys web, mobile, and game programming. Raúl is a supporter of free software and enjoys experimenting with new technologies, frameworks, languages, and methods. Raúl is the author of other Packt Publishing titles, such as Fast Data Processing Systems with SMACK and Apache Kafka Cookbook.
Read more about Raúl Estrada

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