May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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Introduction
Spark provides a unified runtime for big data. Hadoop Distributed File System (HDFS) has traditionally been the most used storage platform for Spark as it has provided the most cost-effective storage for unstructured and semi-structured data on commodity hardware. This has been upended by public cloud storage systems, especially Amazon S3. This edition of the book reflects that reality with special emphasis on connectivity to S3.
That being said, Spark exclusively leverages Hadoop's InputFormat and OutputFormat interfaces. InputFormat is responsible for creating InputSplits from input data and dividing it further into records. OutputFormat is responsible for writing to storage. Following image illustrates InputFormat metaphorically: ...
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