Apache Spark extensively supports various file formats either natively or with the support of libraries written in Java or other programming languages. Compressed file formats, as well as Hadoop's file format, are very well integrated with Spark. Some of the common file formats widely used in Spark are as follows:
Working with different data formats
Plain and specially formatted text
Plain text can be read in Spark by calling the textFile() function on SparkContext. However, for specially formatted text, such as files separated by white space, tab, tilde (~), and so on, users need to iterate over each line of the text using the map() function and then split them on specific characters, such as tilde (~) in the case of...
