jorgecarleitao commented on a change in pull request #8116:
URL: https://github.com/apache/arrow/pull/8116#discussion_r484110960
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File path: rust/datafusion/src/physical_plan/math_expressions.rs
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@@ -19,23 +19,25 @@
use crate::error::{ExecutionError, Result};
-use arrow::array::{Array, ArrayRef, Float32Array, Float64Array,
Float64Builder};
+use arrow::array::{Array, ArrayRef, Float32Array, Float64Array};
use arrow::datatypes::DataType;
use std::sync::Arc;
macro_rules! compute_op {
($ARRAY:expr, $FUNC:ident, $TYPE:ident) => {{
- let mut builder = Float64Builder::new($ARRAY.len());
- for i in 0..$ARRAY.len() {
- if $ARRAY.is_null(i) {
- builder.append_null()?;
- } else {
- builder.append_value($ARRAY.value(i).$FUNC() as f64)?;
- }
- }
- Ok(Arc::new(builder.finish()))
+ let result: Float64Array = (0..$ARRAY.len())
+ .map(|i| {
Review comment:
@nevi-me, doesn't the performance depend on the density of nulls? For
low density, vectorise wins, for high density, loop wins.
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