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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
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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-Cassandra connector

Now that we are clear how a connection to a Cassandra server is done, we can talk about a very special client. Everything we have seen previously has been directed at reaching this point. We have seen what Spark can do; now we know Cassandra and we know we can use it as a storage layer to improve Spark performance.

We need a client to achieve this connection but this client is special because it has been designed specifically for Spark and not for a specific language. This special client is called: Spark Cassandra connector.

Installing the connector

The Spark-Cassandra connector has its own GitHub repository, the latest stable version is in master, but we can access a special version through a particular branch.

The Cassandra connector project home page is: https://github.com/datastax/spark-cassandra-connector .

At the time of writing, the most stable connector version is 1.6.0.

The connector is basically a .jar file loaded when Spark starts. So, if you prefer to access...

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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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