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Apache Kafka Quick Start Guide

You're reading from   Apache Kafka Quick Start Guide Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788997829
Length 186 pages
Edition 1st Edition
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Author (1):
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Raúl Estrada Raúl Estrada
Author Profile Icon Raúl Estrada
Raúl Estrada
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Toc

Table of Contents (10) Chapters Close

Preface 1. Configuring Kafka FREE CHAPTER 2. Message Validation 3. Message Enrichment 4. Serialization 5. Schema Registry 6. Kafka Streams 7. KSQL 8. Kafka Connect 9. Other Books You May Enjoy

Spark Streaming processor

Now, in the src/main/java/kioto/spark directory, create a file called SparkProcessor.java with the contents of Listing 8.2, shown as follows:

package kioto.spark;
import kioto.Constants;
import org.apache.spark.sql.*;
import org.apache.spark.sql.streaming.*;
import org.apache.spark.sql.types.*;
import java.sql.Timestamp;
import java.time.LocalDate;
import java.time.Period;

public class SparkProcessor {
private String brokers;
public SparkProcessor(String brokers) {
this.brokers = brokers;
}
public final void process() {
//below is the content of this method
}
public static void main(String[] args) {
(new SparkProcessor("localhost:9092")).process();
}
}
Listing 8.2: SparkProcessor.java

Note that, as in previous examples, the main method invoked the process() method with the IP address and the port of the Kafka brokers.

Now, let's...

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