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https://issues.apache.org/jira/browse/SPARK-28427?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17049367#comment-17049367
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Rakesh Raushan commented on SPARK-28427:
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I think we should add some of Postgres JSON functions to Spark.
> Support more Postgres JSON functions
> ------------------------------------
>
> Key: SPARK-28427
> URL: https://issues.apache.org/jira/browse/SPARK-28427
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Josh Rosen
> Priority: Major
>
> Postgres features a number of JSON functions that are missing in Spark:
> https://www.postgresql.org/docs/9.3/functions-json.html
> Redshift's JSON functions
> (https://docs.aws.amazon.com/redshift/latest/dg/json-functions.html) have
> partial overlap with the Postgres list.
> Some of these functions can be expressed in terms of compositions of existing
> Spark functions. For example, I think that {{json_array_length}} can be
> expressed with {{cardinality}} and {{from_json}}, but there's a caveat
> related to legacy Hive compatibility (see the demo notebook at
> https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/5796212617691211/45530874214710/4901752417050771/latest.html
> for more details).
> I'm filing this ticket so that we can triage the list of Postgres JSON
> features and decide which ones make sense to support in Spark. After we've
> done that, we can create individual tickets for specific functions and
> features.
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