Jochen Niebuhr created SPARK-21651: -------------------------------------- Summary: Detect MapType in Json InferSchema Key: SPARK-21651 URL: https://issues.apache.org/jira/browse/SPARK-21651 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 2.2.0, 2.1.1, 2.1.0 Reporter: Jochen Niebuhr Priority: Minor
When loading Json Files which include a map with very variable keys, the current schema infer logic might create a very large schema. This will lead to long load times and possibly out of memory errors. I've already submitted a pull request to the mongo spark driver which had a similar problem. Should I port this logic over to the json schema infer class? The MongoDB Spark pull request mentioned is: https://github.com/mongodb/mongo-spark/pull/24 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org