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Posted to issues@spark.apache.org by "Huon Wilson (JIRA)" <ji...@apache.org> on 2019/02/22 02:48:00 UTC
[jira] [Updated] (SPARK-26964) to_json/from_json do not match JSON
spec due to not supporting scalars
[ https://issues.apache.org/jira/browse/SPARK-26964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Huon Wilson updated SPARK-26964:
--------------------------------
Description:
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. this differs to the original (now obsolete) [RFC4627| https://tools.ietf.org/html/rfc4627].
This is related to SPARK-24391 and SPARK-25252, which added support for arrays of scalars.
was:
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.
> 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. this differs to the original (now obsolete) [RFC4627| https://tools.ietf.org/html/rfc4627].
> This is related to SPARK-24391 and SPARK-25252, which added support for arrays of scalars.
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