andygrove commented on code in PR #3536:
URL: https://github.com/apache/datafusion-comet/pull/3536#discussion_r2822877037
##########
native/spark-expr/src/utils.rs:
##########
@@ -71,6 +72,49 @@ pub fn array_with_timezone(
to_type: Option<&DataType>,
) -> Result<ArrayRef, ArrowError> {
match array.data_type() {
+ DataType::Timestamp(TimeUnit::Millisecond, None) => {
+ assert!(!timezone.is_empty());
+ match to_type {
+ Some(DataType::Utf8) | Some(DataType::Date32) => Ok(array),
+ Some(DataType::Timestamp(_, Some(_))) => {
+ timestamp_ntz_to_timestamp(array, timezone.as_str(),
Some(timezone.as_str()))
+ }
+ Some(DataType::Timestamp(TimeUnit::Microsecond, None)) => {
+ // Convert from Timestamp(Millisecond, None) to
Timestamp(Microsecond, None)
+ let millis_array =
as_primitive_array::<TimestampMillisecondType>(&array);
+ let micros_array: TimestampMicrosecondArray = millis_array
+ .iter()
+ .map(|opt| opt.map(|v| v * 1000))
+ .collect();
Review Comment:
This could use unary kernel instead
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