Weijun-H commented on code in PR #6654:
URL: https://github.com/apache/arrow-datafusion/pull/6654#discussion_r1231370472
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datafusion/physical-expr/src/datetime_expressions.rs:
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@@ -282,54 +341,64 @@ pub fn date_trunc(args: &[ColumnarValue]) ->
Result<ColumnarValue> {
Ok(match array {
ColumnarValue::Scalar(ScalarValue::TimestampNanosecond(v, tz_opt)) => {
- let nano = (f)(*v)?;
- match granularity.as_str() {
- "minute" => {
- // trunc to minute
- let second = ScalarValue::TimestampNanosecond(
- Some(nano.unwrap() / 1_000_000_000 * 1_000_000_000),
- tz_opt.clone(),
- );
- ColumnarValue::Scalar(second)
+ _date_trunc(TimeUnit::Nanosecond, v, granularity.as_str(), f,
tz_opt)?
+ }
+ ColumnarValue::Scalar(ScalarValue::TimestampMicrosecond(v, tz_opt)) =>
{
+ _date_trunc(TimeUnit::Microsecond, v, granularity.as_str(), f,
tz_opt)?
+ }
+ ColumnarValue::Scalar(ScalarValue::TimestampMillisecond(v, tz_opt)) =>
{
+ _date_trunc(TimeUnit::Millisecond, v, granularity.as_str(), f,
tz_opt)?
+ }
+ ColumnarValue::Scalar(ScalarValue::TimestampSecond(v, tz_opt)) => {
+ _date_trunc(TimeUnit::Second, v, granularity.as_str(), f, tz_opt)?
+ }
+ ColumnarValue::Array(array) => {
+ let array_type = array.data_type();
Review Comment:
I use `f` function pointer, which uses `granularity ` as parameter
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