differential-dataflow-master 0.13.0-dev.1

//! A timestamp type as in Naiad, where a vector of timestamps of different lengths are comparable.
//!
//! This type compares using "standard" tuple logic as if each timestamp were extended indefinitely with minimal elements.
//!
//! The path summary for this type allows *run-time* rather than *type-driven* iterative scopes.
//! Each summary represents some journey within and out of some number of scopes, followed by entry
//! into and iteration within some other number of scopes.
//!
//! As a result, summaries describe some number of trailing coordinates to truncate, and some increments
//! to the resulting vector. Structurally, the increments can only be to one non-truncated coordinate
//! (as iteration within a scope requires leaving contained scopes), and then to any number of appended
//! default coordinates (which is effectively just *setting* the coordinate).

use abomonation_derive::Abomonation;
use serde::{Deserialize, Serialize};

/// A sequence of timestamps, partially ordered by the product order.
///
/// Sequences of different lengths are compared as if extended indefinitely by `T::minimum()`.
/// Sequences are not guaranteed to be "minimal", and may end with `T::minimum()` entries.
#[derive(
    Hash, Default, Clone, Eq, PartialEq, Ord, PartialOrd, Debug, Serialize, Deserialize, Abomonation,
)]
pub struct PointStamp<T> {
    /// A sequence of timestamps corresponding to timestamps in a sequence of nested scopes.
    pub vector: Vec<T>,
}

impl<T> PointStamp<T> {
    /// Create a new sequence.
    pub fn new(vector: Vec<T>) -> Self {
        PointStamp { vector }
    }
}

// Implement timely dataflow's `PartialOrder` trait.
use timely::order::PartialOrder;
impl<T: PartialOrder + Timestamp> PartialOrder for PointStamp<T> {
    fn less_equal(&self, other: &Self) -> bool {
        // Every present coordinate must be less-equal the corresponding coordinate,
        // where absent corresponding coordinates are `T::minimum()`. Coordinates
        // absent from `self.vector` are themselves `T::minimum()` and are less-equal
        // any corresponding coordinate in `other.vector`.
        self.vector
            .iter()
            .zip(other.vector.iter().chain(std::iter::repeat(&T::minimum())))
            .all(|(t1, t2)| t1.less_equal(t2))
    }
}

use timely::progress::timestamp::Refines;
impl<T: Timestamp> Refines<()> for PointStamp<T> {
    fn to_inner(_outer: ()) -> Self {
        Self { vector: Vec::new() }
    }
    fn to_outer(self) -> () {
        ()
    }
    fn summarize(_summary: <Self>::Summary) -> () {
        ()
    }
}

// Implement timely dataflow's `PathSummary` trait.
// This is preparation for the `Timestamp` implementation below.
use timely::progress::PathSummary;

/// Describes an action on a `PointStamp`: truncation to `length` followed by `actions`.
#[derive(
    Hash, Default, Clone, Eq, PartialEq, Ord, PartialOrd, Debug, Serialize, Deserialize, Abomonation
)]
pub struct PointStampSummary<TS> {
    /// Number of leading coordinates to retain.
    ///
    /// A `None` value indicates that all coordinates should be retained.
    pub retain: Option<usize>,
    /// Summary actions to apply to all coordinates.
    ///
    /// If `actions.len()` is greater than `retain`, a timestamp should be extended by
    /// `T::minimum()` in order to be subjected to `actions`.
    pub actions: Vec<TS>,
}

impl<T: Timestamp> PathSummary<PointStamp<T>> for PointStampSummary<T::Summary> {
    fn results_in(&self, timestamp: &PointStamp<T>) -> Option<PointStamp<T>> {
        // Get a slice of timestamp coordinates appropriate for consideration.
        let timestamps = if let Some(retain) = self.retain {
            if retain < timestamp.vector.len() {
                &timestamp.vector[..retain]
            } else {
                &timestamp.vector[..]
            }
        } else {
            &timestamp.vector[..]
        };

        let mut vector = Vec::with_capacity(std::cmp::max(timestamps.len(), self.actions.len()));
        // Introduce elements where both timestamp and action exist.
        let min_len = std::cmp::min(timestamps.len(), self.actions.len());
        for (action, timestamp) in self.actions.iter().zip(timestamps.iter()) {
            vector.push(action.results_in(timestamp)?);
        }
        // Any remaining timestamps should be copied in.
        for timestamp in timestamps.iter().skip(min_len) {
            vector.push(timestamp.clone());
        }
        // Any remaining actions should be applied to the empty timestamp.
        for action in self.actions.iter().skip(min_len) {
            vector.push(action.results_in(&T::minimum())?);
        }

        Some(PointStamp { vector })
    }
    fn followed_by(&self, other: &Self) -> Option<Self> {
        // The output `retain` will be the minimum of the two inputs.
        let retain = match (self.retain, other.retain) {
            (Some(x), Some(y)) => Some(std::cmp::min(x, y)),
            (Some(x), None) => Some(x),
            (None, Some(y)) => Some(y),
            (None, None) => None,
        };

        // The output `actions` will depend on the relative sizes of the input `retain`s.
        let self_actions = if let Some(retain) = other.retain {
            if retain < self.actions.len() {
                &self.actions[..retain]
            } else {
                &self.actions[..]
            }
        } else {
            &self.actions[..]
        };

        let mut actions = Vec::with_capacity(std::cmp::max(self_actions.len(), other.actions.len()));
        // Introduce actions where both input actions apply.
        let min_len = std::cmp::min(self_actions.len(), other.actions.len());
        for (action1, action2) in self_actions.iter().zip(other.actions.iter()) {
            actions.push(action1.followed_by(action2)?);
        }
        // Append any remaining self actions.
        actions.extend(self_actions.iter().skip(min_len).cloned());
        // Append any remaining other actions.
        actions.extend(other.actions.iter().skip(min_len).cloned());

        Some(Self { retain, actions })
    }
}

impl<TS: PartialOrder> PartialOrder for PointStampSummary<TS> {
    fn less_equal(&self, other: &Self) -> bool {
        // If the `retain`s are not the same, there is some coordinate which
        // could either be bigger or smaller as the timestamp or the replacemnt.
        // In principle, a `T::minimum()` extension could break this rule, and
        // we could tighten this logic if needed; I think it is fine not to though.
        self.retain == other.retain
            && self.actions.len() <= other.actions.len()
            && self
                .actions
                .iter()
                .zip(other.actions.iter())
                .all(|(t1, t2)| t1.less_equal(t2))
    }
}

// Implement timely dataflow's `Timestamp` trait.
use timely::progress::Timestamp;
impl<T: Timestamp> Timestamp for PointStamp<T> {
    fn minimum() -> Self {
        Self { vector: Vec::new() }
    }
    type Summary = PointStampSummary<T::Summary>;
}

// Implement differential dataflow's `Lattice` trait.
// This extends the `PartialOrder` implementation with additional structure.
use crate::lattice::Lattice;
impl<T: Lattice + Timestamp + Clone> Lattice for PointStamp<T> {
    fn join(&self, other: &Self) -> Self {
        let min_len = ::std::cmp::min(self.vector.len(), other.vector.len());
        let max_len = ::std::cmp::max(self.vector.len(), other.vector.len());
        let mut vector = Vec::with_capacity(max_len);
        // For coordinates in both inputs, apply `join` to the pair.
        for index in 0..min_len {
            vector.push(self.vector[index].join(&other.vector[index]));
        }
        // Only one of the two vectors will have remaining elements; copy them.
        for time in &self.vector[min_len..] {
            vector.push(time.clone());
        }
        for time in &other.vector[min_len..] {
            vector.push(time.clone());
        }
        Self { vector }
    }
    fn meet(&self, other: &Self) -> Self {
        let min_len = ::std::cmp::min(self.vector.len(), other.vector.len());
        let mut vector = Vec::with_capacity(min_len);
        // For coordinates in both inputs, apply `meet` to the pair.
        for index in 0..min_len {
            vector.push(self.vector[index].meet(&other.vector[index]));
        }
        // Remaining coordinates are `T::minimum()` in one input, and so in the output.
        Self { vector }
    }
}

use timely::container::columnation::{Columnation, Region};
impl<T: Columnation> Columnation for PointStamp<T> {
    type InnerRegion = PointStampStack<T::InnerRegion>;
}

/// Stack for PointStamp. Part of Columnation implementation.
pub struct PointStampStack<R: Region>(<Vec<R::Item> as Columnation>::InnerRegion)
where
    <R as Region>::Item: Columnation;

impl<R: Region> Default for PointStampStack<R>
    where
        <R as Region>::Item: Columnation
{
    #[inline]
    fn default() -> Self {
        Self(Default::default())
    }
}

impl<R: Region> Region for PointStampStack<R>
    where
        <R as Region>::Item: Columnation
{
    type Item = PointStamp<R::Item>;

    #[inline]
    unsafe fn copy(&mut self, item: &Self::Item) -> Self::Item {
        Self::Item { vector: self.0.copy(&item.vector) }
    }

    fn clear(&mut self) {
        self.0.clear();
    }

    fn reserve_items<'a, I>(&mut self, items: I) where Self: 'a, I: Iterator<Item=&'a Self::Item> + Clone {
        self.0.reserve_items(items.map(|x| &x.vector));
    }

    fn reserve_regions<'a, I>(&mut self, regions: I) where Self: 'a, I: Iterator<Item=&'a Self> + Clone {
        self.0.reserve_regions(regions.map(|r| &r.0));
    }

    fn heap_size(&self, callback: impl FnMut(usize, usize)) {
        self.0.heap_size(callback);
    }
}