Jefffrey commented on code in PR #19663:
URL: https://github.com/apache/datafusion/pull/19663#discussion_r2670617288


##########
datafusion/functions/src/datetime/to_timestamp.rs:
##########
@@ -325,6 +327,75 @@ impl_to_timestamp_constructors!(ToTimestampMillisFunc);
 impl_to_timestamp_constructors!(ToTimestampMicrosFunc);
 impl_to_timestamp_constructors!(ToTimestampNanosFunc);
 
+fn decimal_to_nanoseconds(value: i128, scale: i8) -> i64 {

Review Comment:
   Is using rescale_decimal kernel here applicable?
   
   - https://docs.rs/arrow/latest/arrow/compute/fn.rescale_decimal.html



##########
datafusion/functions/src/datetime/to_timestamp.rs:
##########
@@ -380,13 +451,14 @@ impl ScalarUDFImpl for ToTimestampFunc {
         let tz = self.timezone.clone();
 
         match args[0].data_type() {
-            Int32 | Int64 => args[0]
+            Int8 | Int16 | Int32 | Int64 | UInt8 | UInt16 | UInt32 | UInt64 => 
args[0]
                 .cast_to(&Timestamp(Second, None), None)?
                 .cast_to(&Timestamp(Nanosecond, tz), None),
             Null | Timestamp(_, _) => args[0].cast_to(&Timestamp(Nanosecond, 
tz), None),
-            Float64 => {
+            Float16 | Float32 | Float64 => {
+                let arg = args[0].cast_to(&Float64, None)?;

Review Comment:
   I feel each of these can be done natively instead of casting to float64



##########
datafusion/functions/src/datetime/to_timestamp.rs:
##########
@@ -325,6 +327,75 @@ impl_to_timestamp_constructors!(ToTimestampMillisFunc);
 impl_to_timestamp_constructors!(ToTimestampMicrosFunc);
 impl_to_timestamp_constructors!(ToTimestampNanosFunc);
 
+fn decimal_to_nanoseconds(value: i128, scale: i8) -> i64 {
+    let nanos_exponent = 9_i16 - scale as i16;
+    let timestamp_nanos = if nanos_exponent >= 0 {
+        value * 10_i128.pow(nanos_exponent as u32)
+    } else {
+        value / 10_i128.pow(nanos_exponent.unsigned_abs() as u32)
+    };
+    timestamp_nanos as i64
+}
+
+fn decimal128_to_timestamp_nanos(

Review Comment:
   It would be nice if we could make this generic over the decimal types to not 
force the codepaths all through decimal128 🤔 



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to