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Learning Spark with Java

This project contains snippets of Java code for illustrating various Apache Spark concepts. It is intended to help you get started with learning Apache Spark (as a Java programmer) by providing a super easy on-ramp that doesn't involve cluster configuration, building from sources or installing Spark or Hadoop. Many of these activities will be necessary later in your learning experience, after you've used these examples to achieve basic familiarity.

The project is intended to accompany a number of posts on the blog A River of Bytes.

The basic approach used in this project is to create multiple small, free-standing example programs that each illustrate an aspect fo Spark usage, and to use code comments to explain as many details as seems useful to beginning Spark programmers.

Dependencies

The project is based on Apache Spark 2.2.0 and Java 8.

Warning: In Spark 2.2, support for Java 7 is finally gone. This is documented in the Spark 2.2.0 release notes, but alas not in the corresponding JIRA ticket -- Spark 19493.

Related projects

This project is derived from the LearningSpark project which had the same goals but for Scala programmers. In that project you can also find the early Java 7 examples that gave rise to this project: A lot of Spark programming is a lot less painful in Java 8 than in Java 7.

The spark-streaming-with-kafka project is based on Spark's Scala APIs and illustrates the use of Spark with Apache Kafka, using a similar approach: small free-standing example programs.

The spark-data-sources project is focused on the new experimental APIs introduced in Spark 2.3.0 for developing adapters for external data sources of various kinds. This API is essentially a Java API (developed in Java) to avoid forcing developers to adopt Scala for their data source adapters. Consequently, the example data sources in this project are written in Java, but both Java and Scala usage examples are provided.

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