pub fn construct<A: Allocate>(
    worker: &mut timely::worker::Worker<A>,
    config: &LoggingConfig,
    linked: std::rc::Rc<
        EventLink<
            Timestamp,
            (
                Duration,
                WorkerIdentifier,
                (
                    Vec<usize>,
                    Vec<(usize, usize, bool, Option<Timestamp>, isize)>,
                ),
            ),
        >,
    >,
    activator: RcActivator,
) -> std::collections::HashMap<LogVariant, (KeysValsHandle, Permutation)> {
    let granularity_ms = std::cmp::max(1, config.granularity_ns / 1_000_000) as Timestamp;

    // A dataflow for multiple log-derived arrangements.
    let traces = worker.dataflow_named("Dataflow: timely reachability logging", move |scope| {
        use differential_dataflow::collection::AsCollection;

        let logs = Some(linked).mz_replay(
            scope,
            "reachability logs",
            Duration::from_nanos(config.granularity_ns as u64),
            activator,
        );

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

        let construct_reachability = |key: Vec<_>, value: Vec<_>| {
            let mut flatten = OperatorBuilder::new(
                "Timely Reachability Logging Flatten ".to_string(),
                scope.clone(),
            );

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

            let (mut updates_out, updates) = flatten.new_output();

            let mut buffer = Vec::new();
            flatten.build(move |_capability| {
                move |_frontiers| {
                    let updates = updates_out.activate();
                    let mut updates_session = ConsolidateBuffer::new(updates, 0);

                    input.for_each(|cap, data| {
                        data.swap(&mut buffer);

                        for (time, worker, (addr, massaged)) in buffer.drain(..) {
                            let time_ms = (((time.as_millis() as Timestamp / granularity_ms) + 1)
                                * granularity_ms)
                                as Timestamp;
                            for (source, port, update_type, ts, diff) in massaged {
                                updates_session.give(
                                    &cap,
                                    (
                                        (update_type, addr.clone(), source, port, worker, ts),
                                        time_ms,
                                        diff,
                                    ),
                                );
                            }
                        }
                    });
                }
            });

            let mut row_packer = Row::default();
            updates
                .as_collection()
                .arrange_core::<_, RowSpine<_, _, _, _>>(
                    Exchange::new(|(((_, _, _, _, w, _), ()), _, _)| *w as u64),
                    "PreArrange Timely reachability",
                )
                .as_collection(move |(update_type, addr, source, port, worker, ts), _| {
                    let row_arena = RowArena::default();
                    let update_type = if *update_type { "source" } else { "target" };
                    row_packer.push_list(
                        addr.iter()
                            .chain_one(&source)
                            .map(|id| Datum::Int64(*id as i64)),
                    );
                    let datums = &[
                        row_arena.push_unary_row(row_packer.finish_and_reuse()),
                        Datum::Int64(*port as i64),
                        Datum::Int64(*worker as i64),
                        Datum::String(&update_type),
                        Datum::from(ts.and_then(|ts| i64::try_from(ts).ok())),
                    ];
                    row_packer.extend(key.iter().map(|k| datums[*k]));
                    let key_row = row_packer.finish_and_reuse();
                    row_packer.extend(value.iter().map(|k| datums[*k]));
                    let value_row = row_packer.finish_and_reuse();
                    (key_row, value_row)
                })
        };

        // Restrict results by those logs that are meant to be active.
        let logs = vec![(LogVariant::Timely(TimelyLog::Reachability))];

        let mut result = std::collections::HashMap::new();
        for variant in logs {
            if config.active_logs.contains_key(&variant) {
                let key = variant.index_by();
                let (permutation, value) =
                    Permutation::construct_from_columns(&key, variant.desc().arity());
                let trace = construct_reachability(key.clone(), value)
                    .arrange_named::<RowSpine<_, _, _, _>>(&format!("Arrange {:?}", variant))
                    .trace;
                result.insert(variant, (trace, permutation));
            }
        }
        result
    });

    traces
}
/// Constructs the logging dataflow for reachability logs.
///
/// Params
/// * `worker`: The Timely worker hosting the log analysis dataflow.
/// * `config`: Logging configuration
/// * `linked`: The source to read log events from.
/// * `activator`: A handle to acknowledge activations.
///
/// Returns a map from log variant to a tuple of a trace handle and a permutation to reconstruct
/// the original rows.
Constructs the logging dataflow for reachability logs.
Params
`worker`: The Timely worker hosting the log analysis dataflow.
`config`: Logging configuration
`linked`: The source to read log events from.
`activator`: A handle to acknowledge activations.

Returns a map from log variant to a tuple of a trace handle and a permutation to reconstruct
the original rows.
Constructs the logging dataflow for reachability logs . Params ` worker ` : The Timely worker hosting the log analysis dataflow . ` config ` : Logging configuration ` linked ` : The source to read log events from . ` activator ` : A handle to acknowledge activations . Returns a map from log variant to a tuple of a trace handle and a permutation to reconstruct the original rows .
pub fn construct<A: Allocate>(
    worker: &mut timely::worker::Worker<A>,
    config: &LoggingConfig,
    linked: std::rc::Rc<
        EventLink<
            Timestamp,
            (
                Duration,
                WorkerIdentifier,
                (
                    Vec<usize>,
                    Vec<(usize, usize, bool, Option<Timestamp>, isize)>,
                ),
            ),
        >,
    >,
    activator: RcActivator,
) -> std::collections::HashMap<LogVariant, (KeysValsHandle, Permutation)> {
    let granularity_ms = std::cmp::max(1, config.granularity_ns / 1_000_000) as Timestamp;
    // A dataflow for multiple log-derived arrangements.
    let traces = worker.dataflow_named("Dataflow: timely reachability logging", move |scope| {
        use differential_dataflow::collection::AsCollection;
        let logs = Some(linked).mz_replay(
            scope,
            "reachability logs",
            Duration::from_nanos(config.granularity_ns as u64),
            activator,
        );
        use timely::dataflow::operators::generic::builder_rc::OperatorBuilder;
        let construct_reachability = |key: Vec<_>, value: Vec<_>| {
            let mut flatten = OperatorBuilder::new(
                "Timely Reachability Logging Flatten ".to_string(),
                scope.clone(),
            );
            use timely::dataflow::channels::pact::Pipeline;
            let mut input = flatten.new_input(&logs, Pipeline);
            let (mut updates_out, updates) = flatten.new_output();
            let mut buffer = Vec::new();
            flatten.build(move |_capability| {
                move |_frontiers| {
                    let updates = updates_out.activate();
                    let mut updates_session = ConsolidateBuffer::new(updates, 0);
                    input.for_each(|cap, data| {
                        data.swap(&mut buffer);
                        for (time, worker, (addr, massaged)) in buffer.drain(..) {
                            let time_ms = (((time.as_millis() as Timestamp / granularity_ms) + 1)
                                * granularity_ms)
                                as Timestamp;
                            for (source, port, update_type, ts, diff) in massaged {
                                updates_session.give(
                                    &cap,
                                    (
                                        (update_type, addr.clone(), source, port, worker, ts),
                                        time_ms,
                                        diff,
                                    ),
                                );
                            }
                        }
                    });
                }
            });
            let mut row_packer = Row::default();
            updates
                .as_collection()
                .arrange_core::<_, RowSpine<_, _, _, _>>(
                    Exchange::new(|(((_, _, _, _, w, _), ()), _, _)| *w as u64),
                    "PreArrange Timely reachability",
                )
                .as_collection(move |(update_type, addr, source, port, worker, ts), _| {
                    let row_arena = RowArena::default();
                    let update_type = if *update_type { "source" } else { "target" };
                    row_packer.push_list(
                        addr.iter()
                            .chain_one(&source)
                            .map(|id| Datum::Int64(*id as i64)),
                    );
                    let datums = &[
                        row_arena.push_unary_row(row_packer.finish_and_reuse()),
                        Datum::Int64(*port as i64),
                        Datum::Int64(*worker as i64),
                        Datum::String(&update_type),
                        Datum::from(ts.and_then(|ts| i64::try_from(ts).ok())),
                    ];
                    row_packer.extend(key.iter().map(|k| datums[*k]));
                    let key_row = row_packer.finish_and_reuse();
                    row_packer.extend(value.iter().map(|k| datums[*k]));
                    let value_row = row_packer.finish_and_reuse();
                    (key_row, value_row)
                })
        };
        // Restrict results by those logs that are meant to be active.
        let logs = vec![(LogVariant::Timely(TimelyLog::Reachability))];
        let mut result = std::collections::HashMap::new();
        for variant in logs {
            if config.active_logs.contains_key(&variant) {
                let key = variant.index_by();
                let (permutation, value) =
                    Permutation::construct_from_columns(&key, variant.desc().arity());
                let trace = construct_reachability(key.clone(), value)
                    .arrange_named::<RowSpine<_, _, _, _>>(&format!("Arrange {:?}", variant))
                    .trace;
                result.insert(variant, (trace, permutation));
            }
        }
        result
    });
    traces
}
pub fn construct < A : Allocate > ( worker : & mut timely :: worker :: Worker < A > , config : & LoggingConfig , linked : std :: rc :: Rc < EventLink < Timestamp , ( Duration , WorkerIdentifier , ( Vec < usize > , Vec < ( usize , usize , bool , Option < Timestamp > , isize ) > , ) , ) , > , > , activator : RcActivator , ) -> std :: collections :: HashMap < LogVariant , ( KeysValsHandle , Permutation ) > { let granularity_ms = std :: cmp :: max ( 1 , config . granularity_ns / 1_000_000 ) as Timestamp ; // A dataflow for multiple log-derived arrangements. let traces = worker . dataflow_named ( " " , move | scope | { use differential_dataflow :: collection :: AsCollection ; let logs = Some ( linked ) . mz_replay ( scope , " " , Duration :: from_nanos ( config . granularity_ns as u64 ) , activator , ) ; use timely :: dataflow :: operators :: generic :: builder_rc :: OperatorBuilder ; let construct_reachability = | key : Vec < _ > , value : Vec < _ > | { let mut flatten = OperatorBuilder :: new ( " " . to_string ( ) , scope . clone ( ) , ) ; use timely :: dataflow :: channels :: pact :: Pipeline ; let mut input = flatten . new_input ( & logs , Pipeline ) ; let ( mut updates_out , updates ) = flatten . new_output ( ) ; let mut buffer = Vec :: new ( ) ; flatten . build ( move | _capability | { move | _frontiers | { let updates = updates_out . activate ( ) ; let mut updates_session = ConsolidateBuffer :: new ( updates , 0 ) ; input . for_each ( | cap , data | { data . swap ( & mut buffer ) ; for ( time , worker , ( addr , massaged ) ) in buffer . drain ( .. ) { let time_ms = ( ( ( time . as_millis ( ) as Timestamp / granularity_ms ) + 1 ) * granularity_ms ) as Timestamp ; for ( source , port , update_type , ts , diff ) in massaged { updates_session . give ( & cap , ( ( update_type , addr . clone ( ) , source , port , worker , ts ) , time_ms , diff , ) , ) ; } } } ) ; } } ) ; let mut row_packer = Row :: default ( ) ; updates . as_collection ( ) . arrange_core :: < _ , RowSpine < _ , _ , _ , _ > > ( Exchange :: new ( | ( ( ( _ , _ , _ , _ , w , _ ) , ( ) ) , _ , _ ) | * w as u64 ) , " " , ) . as_collection ( move | ( update_type , addr , source , port , worker , ts ) , _ | { let row_arena = RowArena :: default ( ) ; let update_type = if * update_type { " " } else { " " } ; row_packer . push_list ( addr . iter ( ) . chain_one ( & source ) . map ( | id | Datum :: Int64 ( * id as i64 ) ) , ) ; let datums = & [ row_arena . push_unary_row ( row_packer . finish_and_reuse ( ) ) , Datum :: Int64 ( * port as i64 ) , Datum :: Int64 ( * worker as i64 ) , Datum :: String ( & update_type ) , Datum :: from ( ts . and_then ( | ts | i64 :: try_from ( ts ) . ok ( ) ) ) , ] ; row_packer . extend ( key . iter ( ) . map ( | k | datums [ * k ] ) ) ; let key_row = row_packer . finish_and_reuse ( ) ; row_packer . extend ( value . iter ( ) . map ( | k | datums [ * k ] ) ) ; let value_row = row_packer . finish_and_reuse ( ) ; ( key_row , value_row ) } ) } ; // Restrict results by those logs that are meant to be active. let logs = vec ! [ ( LogVariant Timely ( TimelyLog Reachability ) ) ] ; let mut result = std :: collections :: HashMap :: new ( ) ; for variant in logs { if config . active_logs . contains_key ( & variant ) { let key = variant . index_by ( ) ; let ( permutation , value ) = Permutation :: construct_from_columns ( & key , variant . desc ( ) . arity ( ) ) ; let trace = construct_reachability ( key . clone ( ) , value ) . arrange_named :: < RowSpine < _ , _ , _ , _ > > ( & format ! ( " " variant ) ) . trace ; result . insert ( variant , ( trace , permutation ) ) ; } } result } ) ; traces }
Constructs the logging dataflow for reachability logs.
Constructs the logging dataflow for reachability logs .
worker
&mut timely::worker::Worker<A>
config
&LoggingConfig
linked
std::rc::Rc<
        EventLink<
            Timestamp,
            (
                Duration,
                WorkerIdentifier,
                (
                    Vec<usize>,
                    Vec<(usize, usize, bool, Option<Timestamp>, isize)>,
                ),
            ),
        >,
    >
activator
RcActivator
worker
&mut timely::worker::Worker<A>
config
&LoggingConfig
linked
std::rc::Rc<
        EventLink<
            Timestamp,
            (
                Duration,
                WorkerIdentifier,
                (
                    Vec<usize>,
                    Vec<(usize, usize, bool, Option<Timestamp>, isize)>,
                ),
            ),
        >,
    >
activator
RcActivator