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array_expressions.rs
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187 lines (176 loc) · 6.67 KB
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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.
//! Array expressions
use crate::error::{DataFusionError, Result};
use arrow::array::*;
use arrow::datatypes::DataType;
use std::sync::Arc;
use super::ColumnarValue;
macro_rules! downcast_vec {
($ARGS:expr, $ARRAY_TYPE:ident) => {{
$ARGS
.iter()
.map(|e| match e.as_any().downcast_ref::<$ARRAY_TYPE>() {
Some(array) => Ok(array),
_ => Err(DataFusionError::Internal("failed to downcast".to_string())),
})
}};
}
macro_rules! array {
($ARGS:expr, $ARRAY_TYPE:ident, $BUILDER_TYPE:ident) => {{
// downcast all arguments to their common format
let args =
downcast_vec!($ARGS, $ARRAY_TYPE).collect::<Result<Vec<&$ARRAY_TYPE>>>()?;
let mut builder = FixedSizeListBuilder::<$BUILDER_TYPE>::new(
<$BUILDER_TYPE>::new(args[0].len()),
args.len() as i32,
);
// for each entry in the array
for index in 0..args[0].len() {
for arg in &args {
if arg.is_null(index) {
builder.values().append_null()?;
} else {
builder.values().append_value(arg.value(index))?;
}
}
builder.append(true)?;
}
Ok(Arc::new(builder.finish()))
}};
}
fn array_array(args: &[&dyn Array]) -> Result<ArrayRef> {
// do not accept 0 arguments.
if args.is_empty() {
return Err(DataFusionError::Internal(
"array requires at least one argument".to_string(),
));
}
match args[0].data_type() {
DataType::Binary => array!(args, BinaryArray, BinaryBuilder),
DataType::Utf8 => array!(args, StringArray, StringBuilder),
DataType::LargeUtf8 => array!(args, LargeStringArray, LargeStringBuilder),
DataType::Boolean => array!(args, BooleanArray, BooleanBuilder),
DataType::Float32 => array!(args, Float32Array, Float32Builder),
DataType::Float64 => array!(args, Float64Array, Float64Builder),
DataType::Int8 => array!(args, Int8Array, Int8Builder),
DataType::Int16 => array!(args, Int16Array, Int16Builder),
DataType::Int32 => array!(args, Int32Array, Int32Builder),
DataType::Int64 => array!(args, Int64Array, Int64Builder),
DataType::Int96 => array!(args, Int96Array, Int96Builder),
DataType::Int64Decimal(0) => {
array!(args, Int64Decimal0Array, Int64Decimal0Builder)
}
DataType::Int64Decimal(1) => {
array!(args, Int64Decimal1Array, Int64Decimal1Builder)
}
DataType::Int64Decimal(2) => {
array!(args, Int64Decimal2Array, Int64Decimal2Builder)
}
DataType::Int64Decimal(3) => {
array!(args, Int64Decimal3Array, Int64Decimal3Builder)
}
DataType::Int64Decimal(4) => {
array!(args, Int64Decimal4Array, Int64Decimal4Builder)
}
DataType::Int64Decimal(5) => {
array!(args, Int64Decimal5Array, Int64Decimal5Builder)
}
DataType::Int64Decimal(10) => {
array!(args, Int64Decimal10Array, Int64Decimal10Builder)
}
DataType::Int96Decimal(0) => {
array!(args, Int96Decimal0Array, Int96Decimal0Builder)
}
DataType::Int96Decimal(1) => {
array!(args, Int96Decimal1Array, Int96Decimal1Builder)
}
DataType::Int96Decimal(2) => {
array!(args, Int96Decimal2Array, Int96Decimal2Builder)
}
DataType::Int96Decimal(3) => {
array!(args, Int96Decimal3Array, Int96Decimal3Builder)
}
DataType::Int96Decimal(4) => {
array!(args, Int96Decimal4Array, Int96Decimal4Builder)
}
DataType::Int96Decimal(5) => {
array!(args, Int96Decimal5Array, Int96Decimal5Builder)
}
DataType::Int96Decimal(10) => {
array!(args, Int96Decimal10Array, Int96Decimal10Builder)
}
DataType::UInt8 => array!(args, UInt8Array, UInt8Builder),
DataType::UInt16 => array!(args, UInt16Array, UInt16Builder),
DataType::UInt32 => array!(args, UInt32Array, UInt32Builder),
DataType::UInt64 => array!(args, UInt64Array, UInt64Builder),
data_type => Err(DataFusionError::NotImplemented(format!(
"Array is not implemented for type '{:?}'.",
data_type
))),
}
}
/// put values in an array.
pub fn array(values: &[ColumnarValue]) -> Result<ColumnarValue> {
let arrays: Vec<&dyn Array> = values
.iter()
.map(|value| {
if let ColumnarValue::Array(value) = value {
Ok(value.as_ref())
} else {
Err(DataFusionError::NotImplemented(
"Array is not implemented for scalar values.".to_string(),
))
}
})
.collect::<Result<_>>()?;
Ok(ColumnarValue::Array(array_array(&arrays)?))
}
/// Currently supported types by the array function.
/// The order of these types correspond to the order on which coercion applies
/// This should thus be from least informative to most informative
pub static SUPPORTED_ARRAY_TYPES: &[DataType] = &[
DataType::Boolean,
DataType::UInt8,
DataType::UInt16,
DataType::UInt32,
DataType::UInt64,
DataType::Int8,
DataType::Int16,
DataType::Int32,
DataType::Int64,
DataType::Int96,
DataType::Int64Decimal(0),
DataType::Int64Decimal(1),
DataType::Int64Decimal(2),
DataType::Int64Decimal(3),
DataType::Int64Decimal(4),
DataType::Int64Decimal(5),
DataType::Int64Decimal(10),
DataType::Int96Decimal(0),
DataType::Int96Decimal(1),
DataType::Int96Decimal(2),
DataType::Int96Decimal(3),
DataType::Int96Decimal(4),
DataType::Int96Decimal(5),
DataType::Int96Decimal(10),
DataType::Float32,
DataType::Float64,
DataType::Binary,
DataType::Utf8,
DataType::LargeUtf8,
];