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[task apache#9511] move date_part, date_trunc, date_bin functions to …
…datafusion-functions Signed-off-by: tangruilin <[email protected]>
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| Original file line number | Diff line number | Diff line change |
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| // 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 std::any::Any; | ||
| use std::sync::Arc; | ||
|
|
||
| use arrow::compute::cast; | ||
| use arrow::{ | ||
| array::{Array, ArrayRef, Float64Array, PrimitiveArray}, | ||
| datatypes::{ArrowNumericType, ArrowTemporalType, DataType}, | ||
| }; | ||
| use arrow::{compute::kernels::temporal, datatypes::TimeUnit}; | ||
| use datafusion_common::cast::{ | ||
| as_date32_array, as_date64_array, as_timestamp_microsecond_array, | ||
| as_timestamp_millisecond_array, as_timestamp_nanosecond_array, | ||
| as_timestamp_second_array, | ||
| }; | ||
| use datafusion_common::{exec_err, Result, ScalarValue}; | ||
| use datafusion_expr::{ | ||
| ColumnarValue, ScalarUDFImpl, Signature, TypeSignature::Exact, Volatility, | ||
| TIMEZONE_WILDCARD, | ||
| }; | ||
| use DataType::{Date32, Date64, Timestamp, Utf8}; | ||
| use TimeUnit::{Microsecond, Millisecond, Nanosecond, Second}; | ||
|
|
||
| fn to_ticks<T>(array: &PrimitiveArray<T>, frac: i32) -> Result<Float64Array> | ||
| where | ||
| T: ArrowTemporalType + ArrowNumericType, | ||
| i64: From<T::Native>, | ||
| { | ||
| let zipped = temporal::second(array)? | ||
| .values() | ||
| .iter() | ||
| .zip(temporal::nanosecond(array)?.values().iter()) | ||
| .map(|o| ((*o.0 as f64 + (*o.1 as f64) / 1_000_000_000.0) * (frac as f64))) | ||
| .collect::<Vec<f64>>(); | ||
|
|
||
| Ok(Float64Array::from(zipped)) | ||
| } | ||
|
|
||
| fn seconds<T>(array: &PrimitiveArray<T>) -> Result<Float64Array> | ||
| where | ||
| T: ArrowTemporalType + ArrowNumericType, | ||
| i64: From<T::Native>, | ||
| { | ||
| to_ticks(array, 1) | ||
| } | ||
|
|
||
| fn millis<T>(array: &PrimitiveArray<T>) -> Result<Float64Array> | ||
| where | ||
| T: ArrowTemporalType + ArrowNumericType, | ||
| i64: From<T::Native>, | ||
| { | ||
| to_ticks(array, 1_000) | ||
| } | ||
|
|
||
| fn micros<T>(array: &PrimitiveArray<T>) -> Result<Float64Array> | ||
| where | ||
| T: ArrowTemporalType + ArrowNumericType, | ||
| i64: From<T::Native>, | ||
| { | ||
| to_ticks(array, 1_000_000) | ||
| } | ||
|
|
||
| fn nanos<T>(array: &PrimitiveArray<T>) -> Result<Float64Array> | ||
| where | ||
| T: ArrowTemporalType + ArrowNumericType, | ||
| i64: From<T::Native>, | ||
| { | ||
| to_ticks(array, 1_000_000_000) | ||
| } | ||
|
|
||
| fn epoch<T>(array: &PrimitiveArray<T>) -> Result<Float64Array> | ||
| where | ||
| T: ArrowTemporalType + ArrowNumericType, | ||
| i64: From<T::Native>, | ||
| { | ||
| let b = match array.data_type() { | ||
| DataType::Timestamp(tu, _) => { | ||
| let scale = match tu { | ||
| TimeUnit::Second => 1, | ||
| TimeUnit::Millisecond => 1_000, | ||
| TimeUnit::Microsecond => 1_000_000, | ||
| TimeUnit::Nanosecond => 1_000_000_000, | ||
| } as f64; | ||
| array.unary(|n| { | ||
| let n: i64 = n.into(); | ||
| n as f64 / scale | ||
| }) | ||
| } | ||
| DataType::Date32 => { | ||
| let seconds_in_a_day = 86400_f64; | ||
| array.unary(|n| { | ||
| let n: i64 = n.into(); | ||
| n as f64 * seconds_in_a_day | ||
| }) | ||
| } | ||
| DataType::Date64 => array.unary(|n| { | ||
| let n: i64 = n.into(); | ||
| n as f64 / 1_000_f64 | ||
| }), | ||
| _ => return exec_err!("Can not convert {:?} to epoch", array.data_type()), | ||
| }; | ||
| Ok(b) | ||
| } | ||
|
|
||
| macro_rules! extract_date_part { | ||
| ($ARRAY: expr, $FN:expr) => { | ||
| match $ARRAY.data_type() { | ||
| DataType::Date32 => { | ||
| let array = as_date32_array($ARRAY)?; | ||
| Ok($FN(array) | ||
| .map(|v| cast(&(Arc::new(v) as ArrayRef), &DataType::Float64))?) | ||
| } | ||
| DataType::Date64 => { | ||
| let array = as_date64_array($ARRAY)?; | ||
| Ok($FN(array) | ||
| .map(|v| cast(&(Arc::new(v) as ArrayRef), &DataType::Float64))?) | ||
| } | ||
| DataType::Timestamp(time_unit, _) => match time_unit { | ||
| TimeUnit::Second => { | ||
| let array = as_timestamp_second_array($ARRAY)?; | ||
| Ok($FN(array) | ||
| .map(|v| cast(&(Arc::new(v) as ArrayRef), &DataType::Float64))?) | ||
| } | ||
| TimeUnit::Millisecond => { | ||
| let array = as_timestamp_millisecond_array($ARRAY)?; | ||
| Ok($FN(array) | ||
| .map(|v| cast(&(Arc::new(v) as ArrayRef), &DataType::Float64))?) | ||
| } | ||
| TimeUnit::Microsecond => { | ||
| let array = as_timestamp_microsecond_array($ARRAY)?; | ||
| Ok($FN(array) | ||
| .map(|v| cast(&(Arc::new(v) as ArrayRef), &DataType::Float64))?) | ||
| } | ||
| TimeUnit::Nanosecond => { | ||
| let array = as_timestamp_nanosecond_array($ARRAY)?; | ||
| Ok($FN(array) | ||
| .map(|v| cast(&(Arc::new(v) as ArrayRef), &DataType::Float64))?) | ||
| } | ||
| }, | ||
| datatype => exec_err!("Extract does not support datatype {:?}", datatype), | ||
| } | ||
| }; | ||
| } | ||
|
|
||
| #[derive(Debug)] | ||
| pub struct DatePartFunc { | ||
| signature: Signature, | ||
| aliases: Vec<String>, | ||
| } | ||
|
|
||
| impl DatePartFunc { | ||
| pub fn new() -> Self { | ||
| Self { | ||
| signature: Signature::one_of( | ||
| vec![ | ||
| Exact(vec![Utf8, Timestamp(Nanosecond, None)]), | ||
| Exact(vec![ | ||
| Utf8, | ||
| Timestamp(Nanosecond, Some(TIMEZONE_WILDCARD.into())), | ||
| ]), | ||
| Exact(vec![Utf8, Timestamp(Millisecond, None)]), | ||
| Exact(vec![ | ||
| Utf8, | ||
| Timestamp(Millisecond, Some(TIMEZONE_WILDCARD.into())), | ||
| ]), | ||
| Exact(vec![Utf8, Timestamp(Microsecond, None)]), | ||
| Exact(vec![ | ||
| Utf8, | ||
| Timestamp(Microsecond, Some(TIMEZONE_WILDCARD.into())), | ||
| ]), | ||
| Exact(vec![Utf8, Timestamp(Second, None)]), | ||
| Exact(vec![ | ||
| Utf8, | ||
| Timestamp(Second, Some(TIMEZONE_WILDCARD.into())), | ||
| ]), | ||
| Exact(vec![Utf8, Date64]), | ||
| Exact(vec![Utf8, Date32]), | ||
| ], | ||
| Volatility::Immutable, | ||
| ), | ||
| aliases: vec![String::from("date_part"), String::from("datepart")], | ||
| } | ||
| } | ||
| } | ||
|
|
||
| impl ScalarUDFImpl for DatePartFunc { | ||
| fn as_any(&self) -> &dyn Any { | ||
| self | ||
| } | ||
|
|
||
| fn name(&self) -> &str { | ||
| "date_part" | ||
| } | ||
|
|
||
| fn aliases(&self) -> &[String] { | ||
| &self.aliases | ||
| } | ||
|
|
||
| fn signature(&self) -> &Signature { | ||
| &self.signature | ||
| } | ||
|
|
||
| fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> { | ||
| Ok(DataType::Float64) | ||
| } | ||
|
|
||
| fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> { | ||
| if args.len() != 2 { | ||
| return exec_err!("Expected two arguments in DATE_PART"); | ||
| } | ||
| let (date_part, array) = (&args[0], &args[1]); | ||
|
|
||
| let date_part = | ||
| if let ColumnarValue::Scalar(ScalarValue::Utf8(Some(v))) = date_part { | ||
| v | ||
| } else { | ||
| return exec_err!( | ||
| "First argument of `DATE_PART` must be non-null scalar Utf8" | ||
| ); | ||
| }; | ||
|
|
||
| let is_scalar = matches!(array, ColumnarValue::Scalar(_)); | ||
|
|
||
| let array = match array { | ||
| ColumnarValue::Array(array) => array.clone(), | ||
| ColumnarValue::Scalar(scalar) => scalar.to_array()?, | ||
| }; | ||
|
|
||
| let arr = match date_part.to_lowercase().as_str() { | ||
| "year" => extract_date_part!(&array, temporal::year), | ||
| "quarter" => extract_date_part!(&array, temporal::quarter), | ||
| "month" => extract_date_part!(&array, temporal::month), | ||
| "week" => extract_date_part!(&array, temporal::week), | ||
| "day" => extract_date_part!(&array, temporal::day), | ||
| "doy" => extract_date_part!(&array, temporal::doy), | ||
| "dow" => extract_date_part!(&array, temporal::num_days_from_sunday), | ||
| "hour" => extract_date_part!(&array, temporal::hour), | ||
| "minute" => extract_date_part!(&array, temporal::minute), | ||
| "second" => extract_date_part!(&array, seconds), | ||
| "millisecond" => extract_date_part!(&array, millis), | ||
| "microsecond" => extract_date_part!(&array, micros), | ||
| "nanosecond" => extract_date_part!(&array, nanos), | ||
| "epoch" => extract_date_part!(&array, epoch), | ||
| _ => exec_err!("Date part '{date_part}' not supported"), | ||
| }?; | ||
|
|
||
| Ok(if is_scalar { | ||
| ColumnarValue::Scalar(ScalarValue::try_from_array(&arr?, 0)?) | ||
| } else { | ||
| ColumnarValue::Array(arr?) | ||
| }) | ||
| } | ||
| } |
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