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https://issues.apache.org/jira/browse/SPARK-28471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16889981#comment-16889981
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Maxim Gekk commented on SPARK-28471:
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Here is my explanation of difference in years between Spark's and PostgreSQL
outputs: [https://github.com/apache/spark/pull/25210#discussion_r305609274]
> Formatting dates with negative years
> ------------------------------------
>
> Key: SPARK-28471
> URL: https://issues.apache.org/jira/browse/SPARK-28471
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.4.3
> Reporter: Maxim Gekk
> Priority: Minor
>
> While converting dates with negative years to strings, Spark skips era
> sub-field by default. That's can confuse users since years from BC era are
> mirrored to current era. For example:
> {code}
> spark-sql> select make_date(-44, 3, 15);
> 0045-03-15
> {code}
> Even negative years are out of supported range by the DATE type, it would be
> nice to indicate the era for such dates.
> PostgreSQL outputs the era for such inputs:
> {code}
> # select make_date(-44, 3, 15);
> make_date
> ---------------
> 0044-03-15 BC
> (1 row)
> {code}
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