| // 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(), |
| ))) |
| } |
| } |