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struct_expressions.rs
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struct_expressions.rs
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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.
//! Struct expressions
use arrow::array::*;
use arrow::datatypes::{DataType, Field};
use datafusion_common::{DataFusionError, Result};
use datafusion_expr::ColumnarValue;
use std::sync::Arc;
fn array_struct(args: &[ArrayRef]) -> Result<ArrayRef> {
// do not accept 0 arguments.
if args.is_empty() {
return Err(DataFusionError::Internal(
"struct requires at least one argument".to_string(),
));
}
let vec: Vec<_> = args
.iter()
.enumerate()
.map(|(i, arg)| -> Result<(Field, ArrayRef)> {
let field_name = format!("c{i}");
match arg.data_type() {
DataType::Utf8
| DataType::LargeUtf8
| DataType::Boolean
| DataType::Float32
| DataType::Float64
| DataType::Int8
| DataType::Int16
| DataType::Int32
| DataType::Int64
| DataType::UInt8
| DataType::UInt16
| DataType::UInt32
| DataType::UInt64 => Ok((
Field::new(field_name.as_str(), arg.data_type().clone(), true),
arg.clone(),
)),
data_type => Err(DataFusionError::NotImplemented(format!(
"Struct is not implemented for type '{data_type:?}'."
))),
}
})
.collect::<Result<Vec<_>>>()?;
Ok(Arc::new(StructArray::from(vec)))
}
/// put values in a struct array.
pub fn struct_expr(values: &[ColumnarValue]) -> Result<ColumnarValue> {
let arrays: Vec<ArrayRef> = values
.iter()
.map(|x| match x {
ColumnarValue::Array(array) => array.clone(),
ColumnarValue::Scalar(scalar) => scalar.to_array().clone(),
})
.collect();
Ok(ColumnarValue::Array(array_struct(arrays.as_slice())?))
}