fmonjalet commented on code in PR #16816:
URL: https://github.com/apache/datafusion/pull/16816#discussion_r2216291759
##########
datafusion/functions-aggregate/src/array_agg.rs:
##########
@@ -1008,8 +1002,7 @@ mod tests {
acc2.update_batch(&[data(["b", "c", "a"])])?;
acc1 = merge(acc1, acc2)?;
- // without compaction, the size is 2652.
- assert_eq!(acc1.size(), 732);
+ assert_eq!(acc1.size(), 266);
Review Comment:
Nice! To convince myself this approach was still accurate enough, I was
thinking we should compare this size to the raw data size, which I got from:
```rust
let data1 = data(["a", "c", "b"]);
let data2 = data(["b", "c", "a"]);
println!("Size of data: {} {}", data1.get_array_memory_size(),
data2.get_array_memory_size());
```
I see that the data size is 1208 for each. _But_ it's related to excessive
capacity of the Array, which I would hope does not happen too much for larger
arrays (the ones that actually matter for memory accounting). I would also hope
unused memory pages are not effectively allocated by the kernel anyway, so not
taking memory in practice (unsure about that in this case).
If we update the `data` helper to use `shrink_to_fit`:
```rust
fn data<T, const N: usize>(list: [T; N]) -> ArrayRef
where
ScalarValue: From<T>,
{
let values: Vec<_> =
list.into_iter().map(ScalarValue::from).collect();
let mut array = ScalarValue::iter_to_array(values).expect("Cannot
convert to array");
array.shrink_to_fit();
array
}
```
Then we get 139 byte per array, which is 278 total, so we are
under-accounting by only 12 bytes in practice. Which sounds good.
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