Bruce Robbins commented on SPARK-23410:

I am probably misunderstanding the issue, but I couldn't load UTF-16 (big 
endian or little endian) encoded JSON files using DataFrameReader.json() (e.g., 
spark.read.json) in Spark 2.2.1 or even Spark 2.1.2 for that matter. It always 
resulted in a DataSet with "_corrupt_record" column.

> Unable to read jsons in charset different from UTF-8
> ----------------------------------------------------
>                 Key: SPARK-23410
>                 URL: https://issues.apache.org/jira/browse/SPARK-23410
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output
>    Affects Versions: 2.3.0
>            Reporter: Maxim Gekk
>            Priority: Major
> Currently the Json Parser is forced to read json files in UTF-8. Such 
> behavior breaks backward compatibility with Spark 2.2.1 and previous versions 
> that can read json files in UTF-16, UTF-32 and other encodings due to using 
> of the auto detection mechanism of the jackson library. Need to give back to 
> users possibility to read json files in specified charset and/or detect 
> charset automatically as it was before.    

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