Using Spark to read JSON files based on the file names

I am looking to extract JSON files from an HDFS directory for processing with Spark. Once the processing is complete, I want Spark to move the files to a different location. However, new files may be added while processing is ongoing, so I need a way to keep track of the files that have been read and processed by Spark to avoid accidentally removing them.

While the read.json function in Spark quickly converts files into DataFrames, it does not provide the file names like wholeTextFiles. Is there a method to read JSON data while also obtaining the file names? Additionally, is there a conversion process from RDD (containing JSON data) to a DataFrame?

jsonapache-spark

Answer №1

Starting with version 1.6, you have the option to utilize input_file_name() in order to retrieve the file name where a row is situated. This makes it possible to fetch the names of all files by performing a distinct operation on it.

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