pub fn build_threshold_basic<G, T>(
    input: CollectionBundle<G, Row, T>,
    arrangement: EnsureArrangement,
) -> CollectionBundle<G, Row, T>
where
    G: Scope,
    G::Timestamp: Lattice + Refines<T>,
    T: Timestamp + Lattice,
{
    let all_columns = arrangement.0.clone();
    let input = input.ensure_arrangements(Some(arrangement));
    let arrangement = input
        .arrangement(&all_columns)
        .expect("Arrangement ensured to exist");
    match arrangement {
        ArrangementFlavor::Local(oks, errs, permutation) => {
            let oks = threshold_arrangement(&oks, "Threshold local", |count| *count > 0);
            CollectionBundle::from_expressions(
                all_columns,
                ArrangementFlavor::Local(oks, errs, permutation),
            )
        }
        ArrangementFlavor::Trace(_, oks, errs, permutation) => {
            let oks = threshold_arrangement(&oks, "Threshold trace", |count| *count > 0);
            use differential_dataflow::operators::arrange::ArrangeBySelf;
            let errs = errs.as_collection(|k, _| k.clone()).arrange_by_self();
            CollectionBundle::from_expressions(
                all_columns,
                ArrangementFlavor::Local(oks, errs, permutation),
            )
        }
    }
}
/// Build a dataflow to threshold the input data.
///
/// This implementation maintains rows in the output, i.e. all rows that have a count greater than
/// zero. It returns a [CollectionBundle] populated from a local arrangement.
Build a dataflow to threshold the input data.
This implementation maintains rows in the output, i.e. all rows that have a count greater than
zero. It returns a [CollectionBundle] populated from a local arrangement.
Build a dataflow to threshold the input data . This implementation maintains rows in the output i . e . all rows that have a count greater than zero . It returns a [ CollectionBundle ] populated from a local arrangement .
pub fn build_threshold_basic<G, T>(
    input: CollectionBundle<G, Row, T>,
    arrangement: EnsureArrangement,
) -> CollectionBundle<G, Row, T>
where
    G: Scope,
    G::Timestamp: Lattice + Refines<T>,
    T: Timestamp + Lattice,
{
    let all_columns = arrangement.0.clone();
    let input = input.ensure_arrangements(Some(arrangement));
    let arrangement = input
        .arrangement(&all_columns)
        .expect("Arrangement ensured to exist");
    match arrangement {
        ArrangementFlavor::Local(oks, errs, permutation) => {
            let oks = threshold_arrangement(&oks, "Threshold local", |count| *count > 0);
            CollectionBundle::from_expressions(
                all_columns,
                ArrangementFlavor::Local(oks, errs, permutation),
            )
        }
        ArrangementFlavor::Trace(_, oks, errs, permutation) => {
            let oks = threshold_arrangement(&oks, "Threshold trace", |count| *count > 0);
            use differential_dataflow::operators::arrange::ArrangeBySelf;
            let errs = errs.as_collection(|k, _| k.clone()).arrange_by_self();
            CollectionBundle::from_expressions(
                all_columns,
                ArrangementFlavor::Local(oks, errs, permutation),
            )
        }
    }
}
pub fn build_threshold_basic < G , T > ( input : CollectionBundle < G , Row , T > , arrangement : EnsureArrangement , ) -> CollectionBundle < G , Row , T > where G : Scope , G :: Timestamp : Lattice + Refines < T > , T : Timestamp + Lattice , { let all_columns = arrangement . 0 . clone ( ) ; let input = input . ensure_arrangements ( Some ( arrangement ) ) ; let arrangement = input . arrangement ( & all_columns ) . expect ( " " ) ; match arrangement { ArrangementFlavor :: Local ( oks , errs , permutation ) => { let oks = threshold_arrangement ( & oks , " " , | count | * count > 0 ) ; CollectionBundle :: from_expressions ( all_columns , ArrangementFlavor :: Local ( oks , errs , permutation ) , ) } ArrangementFlavor :: Trace ( _ , oks , errs , permutation ) => { let oks = threshold_arrangement ( & oks , " " , | count | * count > 0 ) ; use differential_dataflow :: operators :: arrange :: ArrangeBySelf ; let errs = errs . as_collection ( | k , _ | k . clone ( ) ) . arrange_by_self ( ) ; CollectionBundle :: from_expressions ( all_columns , ArrangementFlavor :: Local ( oks , errs , permutation ) , ) } } }
Build a dataflow to threshold the input data.
Build a dataflow to threshold the input data .
input
CollectionBundle<G, Row, T>
arrangement
EnsureArrangement
input
CollectionBundle<G, Row, T>
arrangement
EnsureArrangement