Trait timely::dataflow::operators::generic::operator::Operator [−] [src]

pub trait Operator<G: Scope, D1: Data> {
    fn unary_frontier<D2, B, L, P>(
        &self, 
        pact: P, 
        name: &str, 
        constructor: B
    ) -> Stream<G, D2>
    where
        D2: Data,
        B: FnOnce(Capability<G::Timestamp>) -> L,
        L: FnMut(&mut FrontieredInputHandle<G::Timestamp, D1, P::Puller>, &mut OutputHandle<G::Timestamp, D2, Tee<G::Timestamp, D2>>) + 'static,
        P: ParallelizationContract<G::Timestamp, D1>;

    fn unary<D2, B, L, P>(
        &self, 
        pact: P, 
        name: &str, 
        constructor: B
    ) -> Stream<G, D2>
    where
        D2: Data,
        B: FnOnce(Capability<G::Timestamp>) -> L,
        L: FnMut(&mut InputHandle<G::Timestamp, D1, P::Puller>, &mut OutputHandle<G::Timestamp, D2, Tee<G::Timestamp, D2>>) + 'static,
        P: ParallelizationContract<G::Timestamp, D1>;

    fn binary_frontier<D2, D3, B, L, P1, P2>(
        &self, 
        other: &Stream<G, D2>, 
        pact1: P1, 
        pact2: P2, 
        name: &str, 
        constructor: B
    ) -> Stream<G, D3>
    where
        D2: Data,
        D3: Data,
        B: FnOnce(Capability<G::Timestamp>) -> L,
        L: FnMut(&mut FrontieredInputHandle<G::Timestamp, D1, P1::Puller>, &mut FrontieredInputHandle<G::Timestamp, D2, P2::Puller>, &mut OutputHandle<G::Timestamp, D3, Tee<G::Timestamp, D3>>) + 'static,
        P1: ParallelizationContract<G::Timestamp, D1>,
        P2: ParallelizationContract<G::Timestamp, D2>;

    fn binary<D2, D3, B, L, P1, P2>(
        &self, 
        other: &Stream<G, D2>, 
        pact1: P1, 
        pact2: P2, 
        name: &str, 
        constructor: B
    ) -> Stream<G, D3>
    where
        D2: Data,
        D3: Data,
        B: FnOnce(Capability<G::Timestamp>) -> L,
        L: FnMut(&mut InputHandle<G::Timestamp, D1, P1::Puller>, &mut InputHandle<G::Timestamp, D2, P2::Puller>, &mut OutputHandle<G::Timestamp, D3, Tee<G::Timestamp, D3>>) + 'static,
        P1: ParallelizationContract<G::Timestamp, D1>,
        P2: ParallelizationContract<G::Timestamp, D2>;

    fn sink<L, P>(&self, pact: P, name: &str, logic: L)
    where
        L: FnMut(&mut FrontieredInputHandle<G::Timestamp, D1, P::Puller>) + 'static,
        P: ParallelizationContract<G::Timestamp, D1>;
}

Methods to construct generic streaming and blocking operators.

Required Methods

Creates a new dataflow operator that partitions its input stream by a parallelization strategy pact, and repeteadly invokes logic, the function returned by the function passed as constructor. logic can read from the input stream, write to the output stream, and inspect the frontier at the input.

Examples

use std::collections::HashMap;
use timely::dataflow::operators::{ToStream, FrontierNotificator};
use timely::dataflow::operators::generic::Operator;
use timely::dataflow::channels::pact::Pipeline;
use timely::progress::timestamp::RootTimestamp;

fn main() {
    timely::example(|scope| {
        (0u64..10).to_stream(scope)
            .unary_frontier(Pipeline, "example", |default_cap| {
                let mut cap = Some(default_cap.delayed(&RootTimestamp::new(12)));
                let mut notificator = FrontierNotificator::new();
                let mut stash = HashMap::new();
                move |input, output| {
                    if let Some(ref c) = cap.take() {
                        output.session(&c).give(12);
                    }
                    while let Some((time, data)) = input.next() {
                        stash.entry(time.time().clone()).or_insert(Vec::new());
                    }
                    notificator.for_each(&[input.frontier()], |time, _not| {
                        if let Some(mut vec) = stash.remove(time.time()) {
                            output.session(&time).give_iterator(vec.drain(..));
                        }
                    });
                }
            });
    });
}

Creates a new dataflow operator that partitions its input stream by a parallelization strategy pact, and repeteadly invokes logic, the function returned by the function passed as constructor. logic can read from the input stream, and write to the output stream.

Examples

use timely::dataflow::operators::{ToStream, FrontierNotificator};
use timely::dataflow::operators::generic::operator::Operator;
use timely::dataflow::channels::pact::Pipeline;
use timely::progress::timestamp::RootTimestamp;
use timely::dataflow::Scope;

timely::example(|scope| {
    (0u64..10).to_stream(scope)
        .unary(Pipeline, "example", |default_cap| {
            let mut cap = Some(default_cap.delayed(&RootTimestamp::new(12)));
            move |input, output| {
                if let Some(ref c) = cap.take() {
                    output.session(&c).give(100);
                }
                while let Some((time, data)) = input.next() {
                    output.session(&time).give_content(data);
                }
            }
        });
});

Creates a new dataflow operator that partitions its input streams by a parallelization strategy pact, and repeteadly invokes logic, the function returned by the function passed as constructor. logic can read from the input streams, write to the output stream, and inspect the frontier at the inputs.

Examples

use std::collections::HashMap;
use timely::dataflow::operators::{Input, Inspect, FrontierNotificator};
use timely::dataflow::operators::generic::operator::Operator;
use timely::dataflow::channels::pact::Pipeline;

timely::execute(timely::Configuration::Thread, |worker| {
   let (mut in1, mut in2) = worker.dataflow(|scope| {
       let (in1_handle, in1) = scope.new_input();
       let (in2_handle, in2) = scope.new_input();
       in1.binary_frontier(&in2, Pipeline, Pipeline, "example", |mut _builder| {
           let mut notificator = FrontierNotificator::new();
           let mut stash = HashMap::new();
           move |input1, input2, output| {
               while let Some((time, data)) = input1.next() {
                   stash.entry(time.time().clone()).or_insert(Vec::new()).extend(data.drain(..));
                   notificator.notify_at(time);
               }
               while let Some((time, data)) = input2.next() {
                   stash.entry(time.time().clone()).or_insert(Vec::new()).extend(data.drain(..));
                   notificator.notify_at(time);
               }
               notificator.for_each(&[input1.frontier(), input2.frontier()], |time, _not| {
                   if let Some(mut vec) = stash.remove(time.time()) {
                       output.session(&time).give_iterator(vec.drain(..));
                   }
               });
           }
       }).inspect_batch(|t, x| println!("{:?} -> {:?}", t, x));

       (in1_handle, in2_handle)
   });

   for i in 1..10 {
       in1.send(i - 1);
       in1.advance_to(i);
       in2.send(i - 1);
       in2.advance_to(i);
   }
}).unwrap();

Creates a new dataflow operator that partitions its input streams by a parallelization strategy pact, and repeteadly invokes logic, the function returned by the function passed as constructor. logic can read from the input streams, write to the output stream, and inspect the frontier at the inputs.

Examples

use timely::dataflow::operators::{ToStream, Inspect, FrontierNotificator};
use timely::dataflow::operators::generic::operator::Operator;
use timely::dataflow::channels::pact::Pipeline;
use timely::progress::timestamp::RootTimestamp;
use timely::dataflow::Scope;

timely::example(|scope| {
    let stream2 = (0u64..10).to_stream(scope);
    (0u64..10).to_stream(scope)
        .binary(&stream2, Pipeline, Pipeline, "example", |default_cap| {
            let mut cap = Some(default_cap.delayed(&RootTimestamp::new(12)));
            move |input1, input2, output| {
                if let Some(ref c) = cap.take() {
                    output.session(&c).give(100);
                }
                while let Some((time, data)) = input1.next() {
                    output.session(&time).give_content(data);
                }
                while let Some((time, data)) = input2.next() {
                    output.session(&time).give_content(data);
                }
            }
        }).inspect(|x| println!("{:?}", x));
});

Creates a new dataflow operator that partitions its input stream by a parallelization strategy pact, and repeteadly invokes the function logic which can read from the input stream and inspect the frontier at the input.

Examples

use timely::dataflow::operators::{ToStream, FrontierNotificator};
use timely::dataflow::operators::generic::operator::Operator;
use timely::dataflow::channels::pact::Pipeline;
use timely::progress::timestamp::RootTimestamp;
use timely::dataflow::Scope;

timely::example(|scope| {
    (0u64..10)
        .to_stream(scope)
        .sink(Pipeline, "example", |input| {
            while let Some((time, data)) = input.next() {
                for datum in data.iter() {
                    println!("{:?}:\t{:?}", time, datum);
                }
            }
        });
});

Implementors