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Casting between REE arrays with different run types and from primitiv…
…e values to primitive arrays Added copyright header
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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. | ||
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use std::sync::Arc; | ||
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use arrow_array::{ | ||
types::RunEndIndexType, Array, ArrayRef, ArrowPrimitiveType, Date32Array, Date64Array, | ||
Decimal128Array, Decimal256Array, DurationMicrosecondArray, DurationMillisecondArray, | ||
DurationNanosecondArray, DurationSecondArray, Float16Array, Float32Array, Float64Array, | ||
Int16Array, Int32Array, Int64Array, Int8Array, IntervalDayTimeArray, IntervalYearMonthArray, | ||
PrimitiveArray, RunArray, Time32MillisecondArray, Time32SecondArray, Time64MicrosecondArray, | ||
Time64NanosecondArray, TimestampMicrosecondArray, TimestampMillisecondArray, | ||
TimestampNanosecondArray, TimestampSecondArray, TypedRunArray, UInt16Array, UInt32Array, | ||
UInt64Array, UInt8Array, | ||
}; | ||
use arrow_buffer::ArrowNativeType; | ||
use arrow_schema::{ArrowError, DataType}; | ||
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use crate::cast_with_options; | ||
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use super::CastOptions; | ||
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/// Attempt to cast a run-encoded array into a new type. | ||
/// | ||
/// `K` is the *current* run end index type | ||
pub(crate) fn run_end_cast<K: RunEndIndexType>( | ||
array: &dyn Array, | ||
to_type: &DataType, | ||
cast_options: &CastOptions, | ||
) -> Result<ArrayRef, ArrowError> { | ||
let ree_array = array | ||
.as_any() | ||
.downcast_ref::<RunArray<K>>() | ||
.ok_or_else(|| { | ||
ArrowError::ComputeError( | ||
"Internal Error: Cannot cast run end array to RunArray of the expected type" | ||
.to_string(), | ||
) | ||
})?; | ||
|
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match to_type { | ||
// Potentially convert to a new value or run end type | ||
DataType::RunEndEncoded(re_t, dt) => { | ||
let values = cast_with_options(ree_array.values(), dt.data_type(), cast_options)?; | ||
let re = PrimitiveArray::<K>::new(ree_array.run_ends().inner().clone(), None); | ||
let re = cast_with_options(&re, re_t.data_type(), cast_options)?; | ||
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// TODO: we shouldn't need to validate the new run length array | ||
// since we can assume we are converting from a valid one, but | ||
// there's no "unchecked" variant yet | ||
let result: Arc<dyn Array> = match re.data_type() { | ||
DataType::Int16 => Arc::new(RunArray::try_new( | ||
re.as_any().downcast_ref::<Int16Array>().unwrap(), | ||
&values, | ||
)?), | ||
DataType::Int32 => Arc::new(RunArray::try_new( | ||
re.as_any().downcast_ref::<Int32Array>().unwrap(), | ||
&values, | ||
)?), | ||
DataType::Int64 => Arc::new(RunArray::try_new( | ||
re.as_any().downcast_ref::<Int64Array>().unwrap(), | ||
&values, | ||
)?), | ||
_ => Err(ArrowError::ComputeError(format!( | ||
"Invalid run end type requested during cast: {:?}", | ||
re.data_type() | ||
)))?, | ||
}; | ||
|
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Ok(result.slice(ree_array.run_ends().offset(), ree_array.run_ends().len())) | ||
} | ||
// Convert to a primitive value | ||
DataType::Date32 | ||
| DataType::Date64 | ||
| DataType::Time32(_) | ||
| DataType::Time64(_) | ||
| DataType::Decimal128(_, _) | ||
| DataType::Decimal256(_, _) | ||
| DataType::Timestamp(_, _) | ||
| DataType::Duration(_) | ||
| DataType::Interval(_) | ||
| DataType::Int8 | ||
| DataType::Int16 | ||
| DataType::Int32 | ||
| DataType::Int64 | ||
| DataType::UInt8 | ||
| DataType::UInt16 | ||
| DataType::UInt32 | ||
| DataType::UInt64 | ||
| DataType::Float16 | ||
| DataType::Float32 | ||
| DataType::Float64 => { | ||
// TODO this could be somewhat inefficent, since the run encoded | ||
// array is initially transformed into a primitive array of the same | ||
// type, then casted to the (potentially) new type. For example, | ||
// casting a run encoded array of Float32 to Float64 will first | ||
// create a primitive array of Float32s, then convert that primitive | ||
// array to Float64. | ||
cast_with_options(&run_array_to_primitive(ree_array)?, to_type, cast_options) | ||
} | ||
_ => todo!(), | ||
} | ||
} | ||
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/// Converts a run array of primitive values into a primitive array, without changing the type | ||
fn run_array_to_primitive<R: RunEndIndexType>(ra: &RunArray<R>) -> Result<ArrayRef, ArrowError> { | ||
let prim = match ra.values().data_type() { | ||
DataType::Int8 => typed_run_array_to_primitive(ra.downcast::<Int8Array>().unwrap()), | ||
DataType::Int16 => typed_run_array_to_primitive(ra.downcast::<Int16Array>().unwrap()), | ||
DataType::Int32 => typed_run_array_to_primitive(ra.downcast::<Int32Array>().unwrap()), | ||
DataType::Int64 => typed_run_array_to_primitive(ra.downcast::<Int64Array>().unwrap()), | ||
DataType::UInt8 => typed_run_array_to_primitive(ra.downcast::<UInt8Array>().unwrap()), | ||
DataType::UInt16 => typed_run_array_to_primitive(ra.downcast::<UInt16Array>().unwrap()), | ||
DataType::UInt32 => typed_run_array_to_primitive(ra.downcast::<UInt32Array>().unwrap()), | ||
DataType::UInt64 => typed_run_array_to_primitive(ra.downcast::<UInt64Array>().unwrap()), | ||
DataType::Float16 => typed_run_array_to_primitive(ra.downcast::<Float16Array>().unwrap()), | ||
DataType::Float32 => typed_run_array_to_primitive(ra.downcast::<Float32Array>().unwrap()), | ||
DataType::Float64 => typed_run_array_to_primitive(ra.downcast::<Float64Array>().unwrap()), | ||
DataType::Date32 => typed_run_array_to_primitive(ra.downcast::<Date32Array>().unwrap()), | ||
DataType::Date64 => typed_run_array_to_primitive(ra.downcast::<Date64Array>().unwrap()), | ||
DataType::Time32(arrow_schema::TimeUnit::Second) => { | ||
typed_run_array_to_primitive(ra.downcast::<Time32SecondArray>().unwrap()) | ||
} | ||
DataType::Time32(arrow_schema::TimeUnit::Millisecond) => { | ||
typed_run_array_to_primitive(ra.downcast::<Time32MillisecondArray>().unwrap()) | ||
} | ||
DataType::Time64(arrow_schema::TimeUnit::Microsecond) => { | ||
typed_run_array_to_primitive(ra.downcast::<Time64MicrosecondArray>().unwrap()) | ||
} | ||
DataType::Time64(arrow_schema::TimeUnit::Nanosecond) => { | ||
typed_run_array_to_primitive(ra.downcast::<Time64NanosecondArray>().unwrap()) | ||
} | ||
DataType::Decimal128(_, _) => { | ||
typed_run_array_to_primitive(ra.downcast::<Decimal128Array>().unwrap()) | ||
} | ||
DataType::Decimal256(_, _) => { | ||
typed_run_array_to_primitive(ra.downcast::<Decimal256Array>().unwrap()) | ||
} | ||
DataType::Timestamp(arrow_schema::TimeUnit::Second, _) => { | ||
typed_run_array_to_primitive(ra.downcast::<TimestampSecondArray>().unwrap()) | ||
} | ||
DataType::Timestamp(arrow_schema::TimeUnit::Millisecond, _) => { | ||
typed_run_array_to_primitive(ra.downcast::<TimestampMillisecondArray>().unwrap()) | ||
} | ||
DataType::Timestamp(arrow_schema::TimeUnit::Microsecond, _) => { | ||
typed_run_array_to_primitive(ra.downcast::<TimestampMicrosecondArray>().unwrap()) | ||
} | ||
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DataType::Timestamp(arrow_schema::TimeUnit::Nanosecond, _) => { | ||
typed_run_array_to_primitive(ra.downcast::<TimestampNanosecondArray>().unwrap()) | ||
} | ||
DataType::Duration(arrow_schema::TimeUnit::Second) => { | ||
typed_run_array_to_primitive(ra.downcast::<DurationSecondArray>().unwrap()) | ||
} | ||
DataType::Duration(arrow_schema::TimeUnit::Millisecond) => { | ||
typed_run_array_to_primitive(ra.downcast::<DurationMillisecondArray>().unwrap()) | ||
} | ||
DataType::Duration(arrow_schema::TimeUnit::Microsecond) => { | ||
typed_run_array_to_primitive(ra.downcast::<DurationMicrosecondArray>().unwrap()) | ||
} | ||
DataType::Duration(arrow_schema::TimeUnit::Nanosecond) => { | ||
typed_run_array_to_primitive(ra.downcast::<DurationNanosecondArray>().unwrap()) | ||
} | ||
DataType::Interval(arrow_schema::IntervalUnit::YearMonth) => { | ||
typed_run_array_to_primitive(ra.downcast::<IntervalYearMonthArray>().unwrap()) | ||
} | ||
DataType::Interval(arrow_schema::IntervalUnit::DayTime) => { | ||
typed_run_array_to_primitive(ra.downcast::<IntervalDayTimeArray>().unwrap()) | ||
} | ||
DataType::Interval(arrow_schema::IntervalUnit::MonthDayNano) => { | ||
typed_run_array_to_primitive(ra.downcast::<IntervalYearMonthArray>().unwrap()) | ||
} | ||
_ => { | ||
return Err(ArrowError::ComputeError(format!( | ||
"Cannot convert run-end encoded array of type {:?} to primitive type", | ||
ra.values().data_type() | ||
))) | ||
} | ||
}; | ||
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Ok(prim) | ||
} | ||
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/// "Unroll" a run-end encoded array of primitive values into a primitive array. | ||
/// This function should be efficient for long run lenghts due to the use of | ||
/// Builder's `append_value_n` | ||
fn typed_run_array_to_primitive<R: RunEndIndexType, T: ArrowPrimitiveType>( | ||
arr: TypedRunArray<R, PrimitiveArray<T>>, | ||
) -> ArrayRef { | ||
let mut builder = PrimitiveArray::<T>::builder( | ||
arr.run_ends() | ||
.values() | ||
.last() | ||
.map(|end| end.as_usize()) | ||
.unwrap_or(0), | ||
); | ||
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let mut last = 0; | ||
for (run_end, val) in arr | ||
.run_ends() | ||
.values() | ||
.iter() | ||
.zip(arr.values().values().iter().copied()) | ||
{ | ||
let run_end = run_end.as_usize(); | ||
let run_length = run_end - last; | ||
builder.append_value_n(val, run_length); | ||
last = run_end; | ||
} | ||
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// TODO: this slice could be optimized by only copying the relevant parts of | ||
// the array, but this might be tricky to get right because a slice can | ||
// start or end in the middle of a run. | ||
Arc::new(builder.finish().slice(arr.offset(), arr.len())) | ||
} | ||
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#[cfg(test)] | ||
mod tests { | ||
use arrow_schema::Field; | ||
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use crate::can_cast_types; | ||
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use super::*; | ||
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#[test] | ||
fn test_can_cast_run_ends() { | ||
let re_i64 = Arc::new(Field::new("run ends", DataType::Int64, false)); | ||
let re_i32 = Arc::new(Field::new("run ends", DataType::Int64, false)); | ||
let va_f64 = Arc::new(Field::new("values", DataType::Float64, true)); | ||
let va_str = Arc::new(Field::new("values", DataType::Utf8, true)); | ||
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// can change run end type of non-primitive | ||
assert!(can_cast_types( | ||
&DataType::RunEndEncoded(re_i32.clone(), va_str.clone()), | ||
&DataType::RunEndEncoded(re_i64.clone(), va_str.clone()) | ||
)); | ||
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// can cast from primitive type to primitive | ||
assert!(can_cast_types( | ||
&DataType::RunEndEncoded(re_i32.clone(), va_f64.clone()), | ||
&DataType::Float64 | ||
)); | ||
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// cannot cast from non-primitive to flat array | ||
assert!(!can_cast_types( | ||
&DataType::RunEndEncoded(re_i32.clone(), va_str.clone()), | ||
&DataType::Utf8 | ||
)); | ||
} | ||
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#[test] | ||
fn test_run_end_to_primitive() { | ||
let run_ends = vec![2, 4, 5]; | ||
let values = vec![10, 20, 30]; | ||
let ree = | ||
RunArray::try_new(&Int32Array::from(run_ends), &Int32Array::from(values)).unwrap(); | ||
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let result = cast_with_options(&ree, &DataType::Int32, &CastOptions::default()).unwrap(); | ||
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let result = result.as_any().downcast_ref::<Int32Array>().unwrap(); | ||
assert_eq!(result.values(), &[10, 10, 20, 20, 30]); | ||
} | ||
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#[test] | ||
fn test_run_end_sliced_to_primitive() { | ||
let run_ends = vec![2, 4, 5]; | ||
let values = vec![10, 20, 30]; | ||
let ree = RunArray::try_new(&Int32Array::from(run_ends), &Int32Array::from(values)) | ||
.unwrap() | ||
.slice(1, 3); | ||
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let result = cast_with_options(&ree, &DataType::Int32, &CastOptions::default()).unwrap(); | ||
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let result = result.as_any().downcast_ref::<Int32Array>().unwrap(); | ||
assert_eq!(result.values(), &[10, 20, 20]); | ||
} | ||
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#[test] | ||
fn test_run_end_to_run_end() { | ||
let run_ends = vec![2, 4, 5]; | ||
let values = vec![10, 20, 30]; | ||
let ree = | ||
RunArray::try_new(&Int32Array::from(run_ends), &Int32Array::from(values)).unwrap(); | ||
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let new_re_type = Field::new("run ends", DataType::Int64, false); | ||
let new_va_type = Field::new("values", DataType::Float64, true); | ||
let result = cast_with_options( | ||
&ree, | ||
&DataType::RunEndEncoded(Arc::new(new_re_type), Arc::new(new_va_type)), | ||
&CastOptions::default(), | ||
) | ||
.unwrap(); | ||
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let result = | ||
cast_with_options(&result, &DataType::Float64, &CastOptions::default()).unwrap(); | ||
let result = result.as_any().downcast_ref::<Float64Array>().unwrap(); | ||
assert_eq!(result.values(), &[10.0, 10.0, 20.0, 20.0, 30.0]); | ||
} | ||
} |