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perf: Predicate short circuit #3776

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82 changes: 65 additions & 17 deletions src/daft-table/src/lib.rs
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ use daft_core::{
};
use daft_dsl::{
col, functions::FunctionEvaluator, null_lit, AggExpr, ApproxPercentileParams, Expr, ExprRef,
LiteralValue, SketchType,
LiteralValue, Operator, SketchType,
};
use daft_logical_plan::FileInfos;
use num_traits::ToPrimitive;
Expand Down Expand Up @@ -332,28 +332,73 @@ impl Table {
Ok(column_sizes?.iter().sum())
}

const FILTER_THRESHOLD: f64 = 0.5;

pub fn filter(&self, predicate: &[ExprRef]) -> DaftResult<Self> {
if predicate.is_empty() {
Ok(self.clone())
} else if predicate.len() == 1 {
let mask = self.eval_expression(predicate.first().unwrap().as_ref())?;
self.mask_filter(&mask)
match predicate.first().unwrap().as_ref() {
Expr::BinaryOp {
op: Operator::And,
left,
right,
} => {
let mask = self.eval_expression(left)?;
// let now = std::time::Instant::now();
// let _rhs = self.eval_expression(right)?;
// let elapsed1 = now.elapsed();
// println!("mask num filtered lhs: {:?} / {} ({})", self.mask_num_filtered(&mask)?, self.len(), left);
if self.mask_num_filtered(&mask)?
> (self.len() as f64 * Self::FILTER_THRESHOLD) as usize
{
// println!("prefiltering with lhs");
let new_self = self.mask_filter(&mask)?;
// println!("old self len: {}, new_self len: {}", self.len(), new_self.len());
// let now = std::time::Instant::now();
let mask2 = new_self.eval_expression(right)?;
// let elapsed2 = now.elapsed();
// println!("eval_expression filtered rhs took {:?} vs {:?}", elapsed2, elapsed1);
new_self.mask_filter(&mask2)
} else {
let mask2 = self.eval_expression(right)?;
self.mask_filter(&mask.and(&mask2)?)
}
// println!("mask num filtered lhs: {:?} / {} ({})", self.mask_num_filtered(&mask)?, self.len(), left);
// println!("mask num filtered rhs: {:?} / {} ({})", self.mask_num_filtered(&mask2)?, new_self.len(), right);
// //let mask = mask.and(&mask2)?;
// new_self.mask_filter(&mask)
}
_ => {
let mask = self.eval_expression(predicate.first().unwrap().as_ref())?;
self.mask_filter(&mask)
}
}
} else {
let mut expr = predicate
let expr = predicate
.first()
.unwrap()
.clone()
.and(predicate.get(1).unwrap().clone());
let mut mask = self.eval_expression(&expr)?;
// println!("mask num filtered 0: {:?} / {} ({})", self.mask_num_filtered(&mask)?, self.len(), expr);
for i in 2..predicate.len() {
let next = predicate.get(i).unwrap();
expr = expr.and(next.clone());
let rhs = self.eval_expression(&next.clone())?;
// println!("mask num filtered {}: {:?} / {} ({})", i + 1, self.mask_num_filtered(&rhs)?, self.len(), next);
// if self.mask_num_filtered(&mask)? < (self.len() as f64 * Self::FILTER_THRESHOLD) as usize {
// self.mask_filter(&mask)?;
// mask = rhs;
// continue;
// }

mask = mask.and(&rhs)?;
}
let mask = self.eval_expression(&expr)?;
self.mask_filter(&mask)
}
}

pub fn mask_filter(&self, mask: &Series) -> DaftResult<Self> {
fn mask_num_filtered(&self, mask: &Series) -> DaftResult<usize> {
if *mask.data_type() != DataType::Boolean {
return Err(DaftError::ValueError(format!(
"We can only mask a Table with a Boolean Series, but we got {}",
Expand All @@ -362,24 +407,27 @@ impl Table {
}

let mask = mask.downcast::<BooleanArray>().unwrap();
let new_series: DaftResult<Vec<_>> = self.columns.iter().map(|s| s.filter(mask)).collect();

// The number of rows post-filter should be the number of 'true' values in the mask
let num_rows = if mask.len() == 1 {
let num_filtered = if mask.len() == 1 {
// account for broadcasting of mask
if mask.get(0).is_some_and(|b| b) {
self.len()
} else {
0
} else {
self.len()
}
} else {
// num_filtered is the number of 'false' or null values in the mask
let num_filtered = mask
.validity()
mask.validity()
.map(|validity| arrow2::bitmap::and(validity, mask.as_bitmap()).unset_bits())
.unwrap_or_else(|| mask.as_bitmap().unset_bits());
mask.len() - num_filtered
.unwrap_or_else(|| mask.as_bitmap().unset_bits())
};
Ok(num_filtered)
}

pub fn mask_filter(&self, mask: &Series) -> DaftResult<Self> {
// The number of rows post-filter should be the number of 'true' values in the mask
let num_rows = self.len() - self.mask_num_filtered(mask)?;
let mask = mask.downcast::<BooleanArray>().unwrap();
let new_series: DaftResult<Vec<_>> = self.columns.iter().map(|s| s.filter(mask)).collect();

Self::new_with_size(self.schema.clone(), new_series?, num_rows)
}
Expand Down
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