use crate::{
Bare, BareValueDomain, EvaluateOperand, Explain, IndexDomain, Indexed, Mask, Multiple, Operand,
OrderState, QueryResult,
capabilities::ValueEquivalence,
execution::EvaluationCache,
operands::OperandHandle,
operations::{
Apply, BareStream, KeyedStream, LaneKernel, Operation, OperationContext, Prepare,
},
optimizer::{Estimate, OperationInputs, OptimizerHints, PlanIdentity, PlanInputs, Stats},
registry::operation_manifest,
traits::IsDuplicated,
};
use graphrecords_core::GraphRecord;
use graphrecords_utils::aliases::GrHashMap;
#[derive(Clone, Explain, Operation, OperationInputs, OptimizerHints, PlanIdentity, PlanInputs)]
#[operation(scope = Lane)]
#[explain(label = "IsDuplicated")]
#[plan(optimizer_hints(empty = if_any))]
pub struct IsDuplicatedOperation;
impl Prepare for IsDuplicatedOperation {
type Prepared<'a> = ();
fn prepare<'a>(
&'a self,
_graphrecord: &'a GraphRecord,
_cache: &'a EvaluationCache<'a>,
) -> QueryResult<Self::Prepared<'a>> {
Ok(())
}
}
impl<I: IndexDomain, V: ValueEquivalence, O: OrderState> LaneKernel<Indexed<I, V>, Multiple<O>>
for IsDuplicatedOperation
{
type Output = OperandHandle<Indexed<I, Mask>, Multiple<O>>;
fn execute<'a>(
_graphrecord: &'a GraphRecord,
values: KeyedStream<'a, I, V, Multiple<O>>,
_prepared: Self::Prepared<'a>,
) -> QueryResult<<Self::Output as EvaluateOperand>::ReturnValue<'a>> {
let values: Vec<_> = values.collect();
let mut counts: GrHashMap<_, usize> = GrHashMap::default();
for (_, outcome) in &values {
if let Ok(value) = outcome {
*counts.entry(V::equivalence_key(value)).or_insert(0) += 1;
}
}
Ok(Box::new(values.into_iter().map(move |(index, outcome)| {
let outcome = outcome.map(|value| {
counts
.get(&V::equivalence_key(&value))
.copied()
.expect("every successful value was counted")
> 1
});
(index, outcome)
})))
}
fn estimate(&self, input: Estimate, _stats: &Stats) -> Estimate {
Estimate {
elements: input.elements,
distinct: None,
selectivity: None,
per_group: None,
}
}
}
impl<V: ValueEquivalence + BareValueDomain, O: OrderState> LaneKernel<Bare<V>, Multiple<O>>
for IsDuplicatedOperation
{
type Output = OperandHandle<Bare<Mask>, Multiple<O>>;
fn execute<'a>(
_graphrecord: &'a GraphRecord,
values: BareStream<'a, V, Multiple<O>>,
_prepared: Self::Prepared<'a>,
) -> QueryResult<<Self::Output as EvaluateOperand>::ReturnValue<'a>> {
let values: Vec<_> = values.collect();
let mut counts: GrHashMap<_, usize> = GrHashMap::default();
for value in values.iter().flatten() {
*counts.entry(V::equivalence_key(value)).or_insert(0) += 1;
}
Ok(Box::new(values.into_iter().map(move |outcome| {
outcome.map(|value| {
counts
.get(&V::equivalence_key(&value))
.copied()
.expect("every successful value was counted")
> 1
})
})))
}
fn estimate(&self, input: Estimate, _stats: &Stats) -> Estimate {
Estimate {
elements: input.elements,
distinct: None,
selectivity: None,
per_group: None,
}
}
}
impl<O: Apply<IsDuplicatedOperation>> IsDuplicated for O {
type ReturnOperand = O::Output;
fn is_duplicated(&self) -> Self::ReturnOperand {
Self::ReturnOperand::new(OperationContext::new(self.clone(), IsDuplicatedOperation))
}
}
operation_manifest! {
IsDuplicatedOperation {
method: IsDuplicated::is_duplicated;
scope: lane;
kernel {
parameters: <
I: IndexDomain,
V: ValueEquivalence,
O: OrderState,
>;
input: (Indexed<I, V>, Multiple<O>);
output: OperandHandle<Indexed<I, Mask>, Multiple<O>>;
}
kernel {
parameters: <
V: ValueEquivalence + BareValueDomain,
O: OrderState,
>;
input: (Bare<V>, Multiple<O>);
output: OperandHandle<Bare<Mask>, Multiple<O>>;
}
}
}