Hi, this is more of a theoretical question and I'm asking it here because I have no idea where to find documentation for this stuff.
I am currently working with Spark SQL and am considering using data contained within JSON datasets. I am aware of the .jsonFile() method in Spark SQL. What is the general strategy used by Spark SQL .jsonFile() to parse/decode a JSON dataset? (For example, an answer I might be looking for is that the JSON file is read into an ETL pipeline and transformed into a predefined data structure.) I am deeply appreciative of any help provided. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-does-jsonFile-work-tp26802.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
