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Hyukjin Kwon commented on SPARK-19641: -------------------------------------- Not sure, just IMHO, it sounds not super urgent one because schema inference is not recommended in the production up to my knowledge. I think it is fine to take your time :). Otherwise, I am willing to pick up your commit and open a PR which should credit to you if you want. > JSON schema inference in DROPMALFORMED mode produces incorrect schema > --------------------------------------------------------------------- > > Key: SPARK-19641 > URL: https://issues.apache.org/jira/browse/SPARK-19641 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.1.0 > Reporter: Nathan Howell > > In {{DROPMALFORMED}} mode the inferred schema may incorrectly contain no > columns. This occurs when one document contains a valid JSON value (such as a > string or number) and the other documents contain objects or arrays. > When the default case in {{JsonInferSchema.compatibleRootType}} is reached > when merging a {{StringType}} and a {{StructType}} the resulting type will be > a {{StringType}}, which is then discarded because a {{StructType}} is > expected. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org