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From "Huon Wilson (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-26964) to_json/from_json do not match JSON spec due to not supporting scalars
Date Fri, 22 Feb 2019 02:43:00 GMT
Huon Wilson created SPARK-26964:
-----------------------------------

             Summary: 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: 2.4.0, 2.3.2
            Reporter: Huon Wilson


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: 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.

This is related to SPARK-24391 and SPARK-25252, which added support for arrays of scalars.



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