May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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Loading data from HDFS
HDFS is the second most widely used big data storage system after Amazon S3. One of the reasons for the wide adoption of HDFS is schema on read. What this means is that HDFS does not put any restriction on data when data is being written. Any and all kinds of data are welcome and can be stored in a raw format. This feature makes it the ideal storage for raw unstructured data and semi-structured data.
When it comes to reading data, even unstructured data needs to be given some structure to make sense. Hadoop uses InputFormat to determine how to read the data. Spark provides complete support for Hadoop's InputFormat, so anything that can be read by Hadoop can be read by Spark as well.
The default InputFormat is TextInputFormat ...
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