pub fn publish_differential_logging<A, I>(&mut self, worker: &mut Worker<A>, events: I)
    where
        A: Allocate,
        DifferentialEvent: AsVector<Value>,
        I : IntoIterator,
        <I as IntoIterator>::Item: EventIterator<Duration, (Duration, usize, DifferentialEvent)>+'static
    {
        let (merge,batch) =
        worker.dataflow(move |scope| {

            use timely::dataflow::operators::capture::Replay;
            use timely::dataflow::operators::generic::builder_rc::OperatorBuilder;

            let input = events.replay_into(scope);

            let mut demux = OperatorBuilder::new("Differential Logging Demux".to_string(), scope.clone());

            use timely::dataflow::channels::pact::Pipeline;
            let mut input = demux.new_input(&input, Pipeline);

            let (mut batch_out, batch) = demux.new_output();
            let (mut merge_out, merge) = demux.new_output();

            let mut demux_buffer = Vec::new();

            demux.build(move |_capability| {

                move |_frontiers| {

                    let mut batch = batch_out.activate();
                    let mut merge = merge_out.activate();

                    input.for_each(|time, data| {
                        data.swap(&mut demux_buffer);
                        let mut batch_session = batch.session(&time);
                        let mut merge_session = merge.session(&time);

                        for (time, _worker, datum) in demux_buffer.drain(..) {
                            match datum {
                                DifferentialEvent::Batch(_) => {
                                    batch_session.give((datum.as_vector(), time, 1));
                                },
                                DifferentialEvent::Merge(_) => {
                                    merge_session.give((datum.as_vector(), time, 1));
                                },
                                _ => { },
                            }
                        }
                    });
                }
            });

            use differential_dataflow::collection::AsCollection;
            use differential_dataflow::operators::arrange::ArrangeBySelf;
            let batch = batch.as_collection().arrange_by_self().trace;
            let merge = merge.as_collection().arrange_by_self().trace;

            (merge,batch)
        });

        self.traces.set_unkeyed(&Plan::Source("logs/differential/arrange/batch".to_string()), &batch);
        self.traces.set_unkeyed(&Plan::Source("logs/differential/arrange/merge".to_string()), &merge);
    }
/// Timely logging capture and arrangement.
Timely logging capture and arrangement.
Timely logging capture and arrangement .
pub fn publish_differential_logging<A, I>(&mut self, worker: &mut Worker<A>, events: I)
    where
        A: Allocate,
        DifferentialEvent: AsVector<Value>,
        I : IntoIterator,
        <I as IntoIterator>::Item: EventIterator<Duration, (Duration, usize, DifferentialEvent)>+'static
    {
        let (merge,batch) =
        worker.dataflow(move |scope| {
            use timely::dataflow::operators::capture::Replay;
            use timely::dataflow::operators::generic::builder_rc::OperatorBuilder;
            let input = events.replay_into(scope);
            let mut demux = OperatorBuilder::new("Differential Logging Demux".to_string(), scope.clone());
            use timely::dataflow::channels::pact::Pipeline;
            let mut input = demux.new_input(&input, Pipeline);
            let (mut batch_out, batch) = demux.new_output();
            let (mut merge_out, merge) = demux.new_output();
            let mut demux_buffer = Vec::new();
            demux.build(move |_capability| {
                move |_frontiers| {
                    let mut batch = batch_out.activate();
                    let mut merge = merge_out.activate();
                    input.for_each(|time, data| {
                        data.swap(&mut demux_buffer);
                        let mut batch_session = batch.session(&time);
                        let mut merge_session = merge.session(&time);
                        for (time, _worker, datum) in demux_buffer.drain(..) {
                            match datum {
                                DifferentialEvent::Batch(_) => {
                                    batch_session.give((datum.as_vector(), time, 1));
                                },
                                DifferentialEvent::Merge(_) => {
                                    merge_session.give((datum.as_vector(), time, 1));
                                },
                                _ => { },
                            }
                        }
                    });
                }
            });
            use differential_dataflow::collection::AsCollection;
            use differential_dataflow::operators::arrange::ArrangeBySelf;
            let batch = batch.as_collection().arrange_by_self().trace;
            let merge = merge.as_collection().arrange_by_self().trace;
            (merge,batch)
        });
        self.traces.set_unkeyed(&Plan::Source("logs/differential/arrange/batch".to_string()), &batch);
        self.traces.set_unkeyed(&Plan::Source("logs/differential/arrange/merge".to_string()), &merge);
    }
pub fn publish_differential_logging < A , I > ( & mut self , worker : & mut Worker < A > , events : I ) where A : Allocate , DifferentialEvent : AsVector < Value > , I : IntoIterator , < I as IntoIterator > :: Item : EventIterator < Duration , ( Duration , usize , DifferentialEvent ) > + ' static { let ( merge , batch ) = worker . dataflow ( move | scope | { use timely :: dataflow :: operators :: capture :: Replay ; use timely :: dataflow :: operators :: generic :: builder_rc :: OperatorBuilder ; let input = events . replay_into ( scope ) ; let mut demux = OperatorBuilder :: new ( " " . to_string ( ) , scope . clone ( ) ) ; use timely :: dataflow :: channels :: pact :: Pipeline ; let mut input = demux . new_input ( & input , Pipeline ) ; let ( mut batch_out , batch ) = demux . new_output ( ) ; let ( mut merge_out , merge ) = demux . new_output ( ) ; let mut demux_buffer = Vec :: new ( ) ; demux . build ( move | _capability | { move | _frontiers | { let mut batch = batch_out . activate ( ) ; let mut merge = merge_out . activate ( ) ; input . for_each ( | time , data | { data . swap ( & mut demux_buffer ) ; let mut batch_session = batch . session ( & time ) ; let mut merge_session = merge . session ( & time ) ; for ( time , _worker , datum ) in demux_buffer . drain ( .. ) { match datum { DifferentialEvent :: Batch ( _ ) => { batch_session . give ( ( datum . as_vector ( ) , time , 1 ) ) ; } , DifferentialEvent :: Merge ( _ ) => { merge_session . give ( ( datum . as_vector ( ) , time , 1 ) ) ; } , _ => { } , } } } ) ; } } ) ; use differential_dataflow :: collection :: AsCollection ; use differential_dataflow :: operators :: arrange :: ArrangeBySelf ; let batch = batch . as_collection ( ) . arrange_by_self ( ) . trace ; let merge = merge . as_collection ( ) . arrange_by_self ( ) . trace ; ( merge , batch ) } ) ; self . traces . set_unkeyed ( & Plan :: Source ( " " . to_string ( ) ) , & batch ) ; self . traces . set_unkeyed ( & Plan :: Source ( " " . to_string ( ) ) , & merge ) ; }
Timely logging capture and arrangement.
Timely logging capture and arrangement .
&mut self
worker
&mut Worker<A>
events
I
&mut self
worker
&mut Worker<A>
events
I