blob: 3a40aa79a245b2df684e03c4af45066bc22c72dc [file]
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
use crate::utils::array_with_timezone;
use arrow::array::ArrayRef;
use arrow::datatypes::{DataType, Schema, TimeUnit::Microsecond};
use arrow::record_batch::RecordBatch;
use datafusion::common::{DataFusionError, ScalarValue, ScalarValue::Utf8};
use datafusion::logical_expr::ColumnarValue;
use datafusion::physical_expr::PhysicalExpr;
use std::hash::Hash;
use std::{
fmt::{Debug, Display, Formatter},
sync::Arc,
};
use crate::kernels::temporal::{timestamp_trunc_array_fmt_dyn, timestamp_trunc_dyn};
#[derive(Debug, Eq)]
pub struct TimestampTruncExpr {
/// An array with DataType::Timestamp(TimeUnit::Microsecond, None)
child: Arc<dyn PhysicalExpr>,
/// Scalar UTF8 string matching the valid values in Spark SQL: https://spark.apache.org/docs/latest/api/sql/index.html#date_trunc
format: Arc<dyn PhysicalExpr>,
/// IANA timezone name (e.g. `America/Los_Angeles`) or fixed offset (`+HH:MM`). Stored as
/// `Arc<str>` so it can be cheaply cloned onto Arrow `Timestamp` data types without
/// reallocating, and parsed once into a `chrono::TimeZone` per batch.
timezone: Arc<str>,
}
impl Hash for TimestampTruncExpr {
fn hash<H: std::hash::Hasher>(&self, state: &mut H) {
self.child.hash(state);
self.format.hash(state);
self.timezone.hash(state);
}
}
impl PartialEq for TimestampTruncExpr {
fn eq(&self, other: &Self) -> bool {
self.child.eq(&other.child)
&& self.format.eq(&other.format)
&& self.timezone.eq(&other.timezone)
}
}
impl TimestampTruncExpr {
pub fn new(
child: Arc<dyn PhysicalExpr>,
format: Arc<dyn PhysicalExpr>,
timezone: String,
) -> Self {
TimestampTruncExpr {
child,
format,
timezone: Arc::from(timezone),
}
}
}
impl Display for TimestampTruncExpr {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
write!(
f,
"TimestampTrunc [child:{}, format:{}, timezone: {}]",
self.child, self.format, self.timezone
)
}
}
impl PhysicalExpr for TimestampTruncExpr {
fn fmt_sql(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
Display::fmt(self, f)
}
fn data_type(&self, input_schema: &Schema) -> datafusion::common::Result<DataType> {
// The kernel converts the input to the session timezone and emits an array stamped with
// that timezone (NTZ stays NTZ). The declared `data_type` has to match or
// shuffle/sort/`RowConverter` will fail with a schema-mismatch error.
let session_tz = || DataType::Timestamp(Microsecond, Some(Arc::clone(&self.timezone)));
match self.child.data_type(input_schema)? {
DataType::Timestamp(_, None) => Ok(DataType::Timestamp(Microsecond, None)),
DataType::Dictionary(key_type, inner) => {
let inner_out = match inner.as_ref() {
DataType::Timestamp(_, None) => DataType::Timestamp(Microsecond, None),
_ => session_tz(),
};
Ok(DataType::Dictionary(key_type, Box::new(inner_out)))
}
_ => Ok(session_tz()),
}
}
fn nullable(&self, _: &Schema) -> datafusion::common::Result<bool> {
Ok(true)
}
fn evaluate(&self, batch: &RecordBatch) -> datafusion::common::Result<ColumnarValue> {
let timestamp = self.child.evaluate(batch)?;
let format = self.format.evaluate(batch)?;
let tz = &self.timezone;
let resolve_tz = |ts: ArrayRef| -> datafusion::common::Result<ArrayRef> {
// For TimestampNTZ (Timestamp(Microsecond, None)), skip timezone conversion.
// NTZ values are timezone-independent and truncation should operate directly on the
// naive microsecond values without any timezone resolution.
if matches!(ts.data_type(), DataType::Timestamp(Microsecond, None)) {
Ok(ts)
} else {
Ok(array_with_timezone(
ts,
tz.to_string(),
Some(&DataType::Timestamp(Microsecond, Some(Arc::clone(tz)))),
)?)
}
};
match (timestamp, format) {
(ColumnarValue::Array(ts), ColumnarValue::Scalar(Utf8(Some(format)))) => {
let result = timestamp_trunc_dyn(&resolve_tz(ts)?, format)?;
Ok(ColumnarValue::Array(result))
}
(ColumnarValue::Array(ts), ColumnarValue::Array(formats)) => {
let result = timestamp_trunc_array_fmt_dyn(&resolve_tz(ts)?, &formats)?;
Ok(ColumnarValue::Array(result))
}
(ColumnarValue::Scalar(ts_scalar), ColumnarValue::Scalar(Utf8(Some(format)))) => {
let result = timestamp_trunc_dyn(&resolve_tz(ts_scalar.to_array()?)?, format)?;
let scalar = ScalarValue::try_from_array(&result, 0)?;
Ok(ColumnarValue::Scalar(scalar))
}
_ => Err(DataFusionError::Execution(
"Invalid input to function TimestampTrunc. \
Expected (Timestamp, Utf8)"
.to_string(),
)),
}
}
fn children(&self) -> Vec<&Arc<dyn PhysicalExpr>> {
vec![&self.child]
}
fn with_new_children(
self: Arc<Self>,
children: Vec<Arc<dyn PhysicalExpr>>,
) -> Result<Arc<dyn PhysicalExpr>, DataFusionError> {
Ok(Arc::new(TimestampTruncExpr::new(
Arc::clone(&children[0]),
Arc::clone(&self.format),
self.timezone.to_string(),
)))
}
}