William Benton created SPARK-4190: ------------------------------------- Summary: Allow users to provide transformation rules at JSON ingest Key: SPARK-4190 URL: https://issues.apache.org/jira/browse/SPARK-4190 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 1.1.0, 1.2.0 Reporter: William Benton
It would be great if it were possible to provide transformation rules (to be executed within jsonRDD or jsonFile) so that users could (1) deal with JSON files that confound schema inference or are otherwise insufficiently disciplined, or (2) simply perform arbitrary object transformations at ingest before a schema is inferred. json4s, which Spark already uses, has nice interfaces for specifying transformations as partial functions on objects and accessing nested structures via path expressions. (We might want to introduce an abstraction atop json4s for a public API, but the json4s API seems like a good first step.) There are some examples of these transformations at https://github.com/json4s/json4s and at http://chapeau.freevariable.com/2014/10/fedmsg-and-spark.html -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org