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https://issues.apache.org/jira/browse/SPARK-26964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-26964.
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Resolution: Later
Let me leave this resolved as Later for now.
> to_json/from_json do not match JSON spec due to not supporting scalars
> ----------------------------------------------------------------------
>
> Key: SPARK-26964
> URL: https://issues.apache.org/jira/browse/SPARK-26964
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.2, 2.4.0
> Reporter: Huon Wilson
> Priority: Major
>
> Spark SQL's {{to_json}} and {{from_json}} currently support arrays and
> objects, but not the scalar/primitive types. This doesn't match the JSON spec
> on https://www.json.org/ or [RFC8259|https://tools.ietf.org/html/rfc8259]: a
> JSON document ({{json: element}}) consists of a value surrounded by
> whitespace ({{element: ws value ws}}), where a value is an object or array
> _or_ a number or string etc.:
> {code:none}
> value
> object
> array
> string
> number
> "true"
> "false"
> "null"
> {code}
> Having {{to_json}} and {{from_json}} support scalars would make them flexible
> enough for a library I'm working on, where an arbitrary (user-supplied)
> column needs to be turned into JSON.
> NB. these newer specs differ to the original [RFC4627|
> https://tools.ietf.org/html/rfc4627] (which is now obsolete) that
> (essentially) had {{value: object | array}}.
> This is related to SPARK-24391 and SPARK-25252, which added support for
> arrays of scalars.
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