use std::collections::BTreeMap;
use reifydb_codec::key::encoded::{EncodedKey, IntoEncodedKey};
use reifydb_core::{
interface::{catalog::flow::OperatorId, change::DiffType, flow::OperatorCapability},
metrics::heap::{HeapSize, OperatorSample},
};
use reifydb_flow::{
operator::state::seal::{coord::Coord, ledger::FiredAt, policy::is_sealed},
timer::Timer as FlowTimer,
window::{
accumulator::WindowAccumulator,
engine::{
AccumulatorEvent, EmitKind, rolling::RollingBuckets,
rolling_incremental::RollingIncrementalEngine,
},
},
};
use reifydb_value::{
config::Config,
value::{datetime::DateTime, duration::Duration, row_number::RowNumber},
};
use tracing::debug;
use crate::{
error::Result,
flow::operator::{
GuestOperator, OperatorMetadata,
column::{
batch::{InsertBatch, RemoveBatch, UpdateBatch},
operator::OperatorColumn,
row::Row,
},
context::GuestContext,
timer::Timer,
view::{ChangeView, ColumnsView, DiffView, RowView},
windowed::{
advance_seal_frontier, arm_seal_timer, bucket_of,
guest_as_host::GuestAsHost,
rolling::{RollingOperator, RollingRegistration},
seal_frontier, seal_horizon_of, window_engine_config,
},
},
};
type WindowContribution<A> = <<A as RollingOperator>::Accumulator as WindowAccumulator>::Contribution;
type WindowValue<A> = <<A as RollingOperator>::Accumulator as WindowAccumulator>::Output;
type RunningContribution<A> = <<A as RollingIncrementalOperator>::Running as WindowAccumulator>::Contribution;
pub trait RollingIncrementalOperator: RollingOperator {
type Running: WindowAccumulator;
fn window_contribution(&self, window_value: &WindowValue<Self>) -> RunningContribution<Self>;
fn combine_running(
&self,
group: &Self::GroupKey,
running: &Self::Running,
newest_value: &WindowValue<Self>,
newest_coord: DateTime,
) -> Option<Self::Output>;
}
pub type RollingBuffer<A> = BTreeMap<DateTime, <A as RollingOperator>::Accumulator>;
pub struct RollingIncrementalDriver<A>
where
A: RollingIncrementalOperator + RollingRegistration,
A::Output: Row,
for<'a> &'a A::GroupKey: IntoEncodedKey,
{
aggregator: A,
engine: RollingIncrementalEngine<A::GroupKey, DateTime, A::Accumulator, A::Running>,
}
impl<A> RollingIncrementalDriver<A>
where
A: RollingIncrementalOperator + RollingRegistration + Send + Sync + 'static,
A::Output: Row,
A::GroupKey: Send + Sync,
A::Accumulator: Send + Sync + HeapSize,
A::Running: Send + Sync + HeapSize,
WindowContribution<A>: Send + Sync,
for<'a> &'a A::GroupKey: IntoEncodedKey,
{
fn expire_through<C: GuestContext>(
engine: &mut RollingIncrementalEngine<A::GroupKey, DateTime, A::Accumulator, A::Running>,
store: &mut GuestAsHost<'_, C>,
horizon: DateTime,
) -> Result<()> {
if horizon > <DateTime as Coord>::from_order(0) {
engine.expire_meta(store, horizon.to_order())?;
}
Ok(())
}
}
impl<A> OperatorMetadata for RollingIncrementalDriver<A>
where
A: RollingIncrementalOperator + RollingRegistration + 'static,
A::Output: Row,
for<'a> &'a A::GroupKey: IntoEncodedKey,
{
const NAME: &'static str = A::NAME;
const VERSION: &'static str = A::VERSION;
const DESCRIPTION: &'static str = A::DESCRIPTION;
const INPUT_COLUMNS: &'static [OperatorColumn] = A::INPUT_COLUMNS;
const OUTPUT_COLUMNS: &'static [OperatorColumn] = A::OUTPUT_COLUMNS;
const CAPABILITIES: &'static [OperatorCapability] = A::CAPABILITIES;
}
impl<A> GuestOperator for RollingIncrementalDriver<A>
where
A: RollingIncrementalOperator + RollingRegistration + Send + Sync + 'static,
A::Output: Row,
A::GroupKey: Send + Sync,
A::Accumulator: Send + Sync + HeapSize,
A::Running: Send + Sync + HeapSize,
WindowContribution<A>: Send + Sync,
for<'a> &'a A::GroupKey: IntoEncodedKey,
{
fn sample(&self) -> Option<OperatorSample> {
None
}
fn create(operator_id: OperatorId, config: &Config) -> Result<Self> {
let aggregator = A::from_config(operator_id, config)?;
let engine_config = window_engine_config(config);
Ok(Self {
aggregator,
engine: RollingIncrementalEngine::new(engine_config),
})
}
fn on_timer(&mut self, ctx: &mut impl GuestContext, timer: Timer<'_>) -> Result<()> {
let Some(lateness) = self.aggregator.lateness() else {
return Ok(());
};
let mut store = GuestAsHost(ctx);
let fired = FiredAt::of(&FlowTimer {
due: timer.due,
kind: timer.kind,
key: EncodedKey::new(timer.key),
});
let frontier: DateTime = advance_seal_frontier(&mut store, fired)?;
Self::expire_through(&mut self.engine, &mut store, seal_horizon_of(frontier, lateness))
}
fn lateness(&self) -> Option<Duration> {
self.aggregator.lateness()
}
fn apply(&mut self, ctx: &mut impl GuestContext, change: impl ChangeView) -> Result<()> {
let mut buckets = self.route_diffs_to_buckets(ctx, &change);
if buckets.is_empty() {
return Ok(());
}
if let Some(lateness) = self.aggregator.lateness() {
let mut store = GuestAsHost(ctx);
let newest = buckets.keys().map(|(_, coord)| *coord).max();
if let Some(newest) = newest {
arm_seal_timer(&mut store, newest, lateness)?;
}
let watermark: DateTime = seal_frontier(&mut store)?;
let horizon = seal_horizon_of(watermark, lateness);
Self::expire_through(&mut self.engine, &mut store, horizon)?;
let mut dropped = 0u64;
buckets.retain(|(_, coord), events| {
if is_sealed(*coord, horizon) {
dropped += events.len() as u64;
false
} else {
true
}
});
if dropped > 0 {
debug!(operator = A::NAME, dropped, "mutations targeting sealed coords were dropped");
}
if buckets.is_empty() {
return Ok(());
}
}
let results = {
let Self {
aggregator,
engine,
..
} = &mut *self;
let capacity = aggregator.capacity();
let mut store = GuestAsHost(ctx);
engine.apply(
&mut store,
buckets,
capacity,
|group| aggregator.encode_row_key(group),
|value| aggregator.window_contribution(value),
|group, running, newest, coord| {
aggregator.combine_running(group, running, newest, coord)
},
)?
};
let mut inserts: Vec<(RowNumber, A::Output)> = Vec::new();
let mut updates: Vec<(RowNumber, A::Output)> = Vec::new();
let mut removes: Vec<(RowNumber, A::Output)> = Vec::new();
for r in results {
match r.kind {
EmitKind::Insert => inserts.push((r.row_number, r.value)),
EmitKind::Update => updates.push((r.row_number, r.value)),
EmitKind::Remove => removes.push((r.row_number, r.value)),
}
}
Self::emit_batches(ctx, &inserts, &updates, &removes)?;
Ok(())
}
}
type EventBuckets<A> = RollingBuckets<<A as RollingOperator>::GroupKey, DateTime, WindowContribution<A>>;
impl<A> RollingIncrementalDriver<A>
where
A: RollingIncrementalOperator + RollingRegistration + Send + Sync + 'static,
A::Output: Row,
A::GroupKey: Send + Sync,
A::Accumulator: Send + Sync,
A::Running: Send + Sync,
WindowContribution<A>: Send + Sync,
for<'a> &'a A::GroupKey: IntoEncodedKey,
{
#[inline]
fn route_diffs_to_buckets(&self, ctx: &mut impl GuestContext, change: &impl ChangeView) -> EventBuckets<A> {
let mut buckets: EventBuckets<A> = BTreeMap::new();
for di in 0..change.diff_count() {
let Some(diff) = change.diff(di) else {
continue;
};
match diff.kind() {
DiffType::Insert => {
if let Some(cols) = diff.post() {
for i in 0..cols.row_count() {
let Some(row) = cols.row(i) else {
continue;
};
let Some(coord) = row.row_time() else {
continue;
};
let Some((group, contribution)) =
self.aggregator.extract(ctx, &row)
else {
continue;
};
buckets.entry((
group,
bucket_of(coord, self.aggregator.bucket_size()),
))
.or_default()
.push(AccumulatorEvent::Add(contribution));
}
}
}
DiffType::Update => {
if let (Some(pre), Some(post)) = (diff.pre(), diff.post()) {
let n = pre.row_count().min(post.row_count());
for i in 0..n {
if let Some(pre_row) = pre.row(i)
&& let Some(coord) = pre_row.row_time() && let Some((
group,
contribution,
)) =
self.aggregator.extract(ctx, &pre_row)
{
buckets.entry((
group,
bucket_of(coord, self.aggregator.bucket_size()),
))
.or_default()
.push(AccumulatorEvent::Remove(contribution));
}
if let Some(post_row) = post.row(i)
&& let Some(coord) = post_row.row_time() && let Some((
group,
contribution,
)) =
self.aggregator.extract(ctx, &post_row)
{
buckets.entry((
group,
bucket_of(coord, self.aggregator.bucket_size()),
))
.or_default()
.push(AccumulatorEvent::Add(contribution));
}
}
}
}
DiffType::Remove => {
if let Some(cols) = diff.pre() {
for i in 0..cols.row_count() {
let Some(row) = cols.row(i) else {
continue;
};
let Some(coord) = row.row_time() else {
continue;
};
let Some((group, contribution)) =
self.aggregator.extract(ctx, &row)
else {
continue;
};
buckets.entry((
group,
bucket_of(coord, self.aggregator.bucket_size()),
))
.or_default()
.push(AccumulatorEvent::Remove(contribution));
}
}
}
}
}
buckets
}
#[inline]
fn emit_batches(
ctx: &mut impl GuestContext,
inserts: &[(RowNumber, A::Output)],
updates: &[(RowNumber, A::Output)],
removes: &[(RowNumber, A::Output)],
) -> Result<()> {
if !inserts.is_empty() {
let mut batch = InsertBatch::<A::Output, _>::new(ctx, inserts.len())?;
for (rn, data) in inserts {
batch.push(*rn, data)?;
}
batch.finish()?;
}
if !updates.is_empty() {
let mut batch = UpdateBatch::<A::Output, _>::new(ctx, updates.len())?;
for (rn, data) in updates {
batch.push(*rn, data, data)?;
}
batch.finish()?;
}
if !removes.is_empty() {
let mut batch = RemoveBatch::<A::Output, _>::new(ctx, removes.len())?;
for (rn, data) in removes {
batch.push(*rn, data)?;
}
batch.finish()?;
}
Ok(())
}
}