yaooqinn commented on pull request #27805:
URL: https://github.com/apache/spark/pull/27805#issuecomment-640624624
```sql
scala> spark.udf.register("div", (x: CalendarInterval, y: CalendarInterval)
=> x.microseconds / y.microseconds)
res5: org.apache.spark.sql.expressions.UserDefinedFunction =
SparkUserDefinedFunction($Lambda$3193/1435685475@9bd49ca,LongType,List(Some(class[value[0]:
interval]), Some(class[value[0]: interval])),Some(div),false,true)
scala> spark.sql("select div(interval 24 hour, interval 1 hour 30
minutes)").show
+---------------------------------+
|div(24 hours, 1 hours 30 minutes)|
+---------------------------------+
| 16|
+---------------------------------+
scala> spark.udf.register("modulo", (x: CalendarInterval, y:
CalendarInterval) => x.microseconds % y.microseconds)
res7: org.apache.spark.sql.expressions.UserDefinedFunction =
SparkUserDefinedFunction($Lambda$3231/1344928508@26fb851d,LongType,List(Some(class[value[0]:
interval]), Some(class[value[0]: interval])),Some(modulo),false,true)
scala> spark.sql("select modulo(interval 24 hour, interval 1 hour 30
minutes)").show
+------------------------------------+
|modulo(24 hours, 1 hours 30 minutes)|
+------------------------------------+
| 0|
+------------------------------------+
```
The months, days, and microseconds are all public, with UDFs, I think it's
easy to achieve what we are trying to do here.
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