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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
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Authors (2):
Sourav Gulati
Sourav Gulati
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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
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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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Streams

A stream represents a collection of elements on which a chain of aggregate operations can be performed lazily. Streams have been optimized to cater to both sequential as well as parallel computation, keeping in mind the hardware capabilities of CPU cores. The Steams API was introduced in Java 8 to cater to functional programming needs of the developer. Streams are not Java based collections; however, they are capable enough to operate over collections by first converting them into streams. Some of the characteristics of streams that make them uniquely different from Java collection APIs are:

  • Streams do not store elements. It only transfer values received from sources such as I/O channels, generating functions, data structures (Collections API), and perform a set of pipelined computation on them.
  • Streams do not change the underlying data, they only process them and produce a new set of resultant data. When a distinct() or sorted() method is called on a stream, the source data does not...
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Apache Spark 2.x for Java Developers
Published in: Jul 2017Publisher: PacktISBN-13: 9781787126497
© 2017 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
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

author image
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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