[jira] [Commented] (SPARK-28471) Formatting dates with negative years

["Yuming Wang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-28471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16899630#comment-16899630 ] 

Yuming Wang commented on SPARK-28471:
-------------------------------------

Hi [~maxgekk], It seems the issue still exist:
{code:scala}
scala> val df = spark.sql("select make_date(-44, 3, 15)")
df: org.apache.spark.sql.DataFrame = [make_date(-44, 3, 15): date]

scala> df.show
+---------------------+
|make_date(-44, 3, 15)|
+---------------------+
|          -0044-03-15|
+---------------------+


scala> df.collect.head.getDate(0)
res1: java.sql.Date = 0045-03-17
{code}


{code:sql}
spark-sql> select make_date(-44, 3, 15);
-0044-03-15
{code}

> 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: 3.0.0
>            Reporter: Maxim Gekk
>            Assignee: Maxim Gekk
>            Priority: Minor
>             Fix For: 3.0.0
>
>
> 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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