Write Spark Java to read JSON file modify field with UDF then write JSON file

This should be a very simple task for someone who knows Spark programming in Java. This is time-sensitive! This must be completed and delivered within 48 hours of accepting this project. Environment Requirements: - This must be fully written in Java (assume Java 8). - Must run on Windows 10 - Must deliver as a ZIP file containing one root folder (and however many subfolders you need below it) - Must use Ant, so that to run it all I need to do is open the (sub)folder and type "ant". Software Requirements: - Use the new SparkSession type of context - Spark to be in local mode - Open the supplied JSON file "[login to view URL]" (you can put the input file in a subfolder of your deliverable folder and hard code the path) - For every JSON record, call a UDF (that you also write) that will for every element in 'members' array whose 'cond' value is less than 100, assign 'str3' with the concatenated value of 'str1' and 'str2' fields, separated by a period. - Write all of the processed records to a file "output\[login to view URL]" under the deliverable folder.