vortex_layout/layouts/zoned/

writer.rs

//! Write-time assembly for zoned layouts.

// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright the Vortex contributors

use std::num::NonZeroUsize;
use std::sync::Arc;

use async_trait::async_trait;
use futures::StreamExt as _;
use parking_lot::Mutex;
use vortex_array::ArrayContext;
use vortex_array::IntoArray;
use vortex_array::VortexSessionExecute;
use vortex_array::aggregate_fn::AggregateFnRef;
use vortex_array::aggregate_fn::AggregateFnVTable;
use vortex_array::aggregate_fn::AggregateFnVTableExt;
use vortex_array::aggregate_fn::EmptyOptions;
use vortex_array::aggregate_fn::NumericalAggregateOpts;
use vortex_array::aggregate_fn::fns::bounded_max::BoundedMax;
use vortex_array::aggregate_fn::fns::bounded_max::BoundedMaxOptions;
use vortex_array::aggregate_fn::fns::bounded_min::BoundedMin;
use vortex_array::aggregate_fn::fns::bounded_min::BoundedMinOptions;
use vortex_array::aggregate_fn::fns::max::Max;
use vortex_array::aggregate_fn::fns::min::Min;
use vortex_array::aggregate_fn::fns::nan_count::NanCount;
use vortex_array::aggregate_fn::fns::null_count::NullCount;
use vortex_array::aggregate_fn::fns::sum::Sum;
use vortex_array::dtype::DType;
use vortex_error::VortexError;
use vortex_error::VortexResult;
use vortex_io::session::RuntimeSessionExt;
use vortex_session::VortexSession;
use vortex_utils::parallelism::get_available_parallelism;

use crate::IntoLayout;
use crate::LayoutRef;
use crate::LayoutStrategy;
use crate::layouts::zoned::AggregateStatsAccumulator;
use crate::layouts::zoned::ZonedLayout;
use crate::layouts::zoned::aggregate_partials;
use crate::layouts::zoned::schema::default_bounded_stat_max_bytes;
use crate::segments::SegmentSinkRef;
use crate::sequence::SendableSequentialStream;
use crate::sequence::SequencePointer;
use crate::sequence::SequentialArrayStreamExt;
use crate::sequence::SequentialStreamAdapter;
use crate::sequence::SequentialStreamExt;

/// Configuration for building zoned layouts.
///
/// The input stream is assumed to already be partitioned into one chunk per zone, except
/// possibly the final partial zone.
pub struct ZonedLayoutOptions {
    /// The size of a statistics block
    pub block_size: NonZeroUsize,
    /// The aggregate partials to collect for each block.
    ///
    /// If unset, the writer chooses pruning aggregates from the input dtype.
    pub aggregate_fns: Option<Arc<[AggregateFnRef]>>,
    /// Number of chunks to compute aggregate partials in parallel.
    pub concurrency: NonZeroUsize,
}

impl Default for ZonedLayoutOptions {
    fn default() -> Self {
        Self {
            block_size: unsafe { NonZeroUsize::new_unchecked(8192) },
            aggregate_fns: None,
            concurrency: unsafe {
                NonZeroUsize::new_unchecked(get_available_parallelism().unwrap_or(1))
            },
        }
    }
}

pub struct ZonedStrategy {
    child: Arc<dyn LayoutStrategy>,
    stats: Arc<dyn LayoutStrategy>,
    options: ZonedLayoutOptions,
}

impl ZonedStrategy {
    /// Create a writer that emits a data child plus an auxiliary per-zone stats child.
    pub fn new<Child: LayoutStrategy, Stats: LayoutStrategy>(
        child: Child,
        stats: Stats,
        options: ZonedLayoutOptions,
    ) -> Self {
        Self {
            child: Arc::new(child),
            stats: Arc::new(stats),
            options,
        }
    }
}

#[async_trait]
impl LayoutStrategy for ZonedStrategy {
    async fn write_stream(
        &self,
        ctx: ArrayContext,
        segment_sink: SegmentSinkRef,
        stream: SendableSequentialStream,
        mut eof: SequencePointer,
        session: &VortexSession,
    ) -> VortexResult<LayoutRef> {
        let aggregate_fns = self
            .options
            .aggregate_fns
            .clone()
            .unwrap_or_else(|| default_zoned_aggregate_fns(stream.dtype()));
        let compute_session = session.clone();

        let stats_accumulator = Arc::new(Mutex::new(AggregateStatsAccumulator::new(
            stream.dtype(),
            &aggregate_fns,
        )));
        let aggregate_fns = stats_accumulator.lock().aggregate_fns();

        let stream_dtype = stream.dtype().clone();
        let concurrency = self.options.concurrency.get();
        let stream = stream
            .map(move |item| {
                let aggregate_fns = Arc::clone(&aggregate_fns);
                let session = compute_session.clone();
                session.handle().spawn_cpu(move || {
                    let (sequence_id, chunk) = item?;
                    let partials = aggregate_partials(
                        &chunk,
                        &aggregate_fns,
                        &mut session.create_execution_ctx(),
                    )?;
                    Ok::<_, VortexError>((sequence_id, chunk, partials))
                })
            })
            .buffered(concurrency);

        // Accumulate zone stats in stream order so the auxiliary table stays aligned with the
        // data child.
        let stats_accumulator2 = Arc::clone(&stats_accumulator);
        let stream = SequentialStreamAdapter::new(
            stream_dtype,
            stream.map(move |item| {
                let (sequence_id, chunk, partials) = item?;
                stats_accumulator2.lock().push_partials(partials)?;
                Ok((sequence_id, chunk))
            }),
        )
        .sendable();

        let block_size = self.options.block_size;

        // The eof used for the data child should appear _before_ our own stats tables.
        let data_eof = eof.split_off();
        let data_layout = self
            .child
            .write_stream(
                ctx.clone(),
                Arc::clone(&segment_sink),
                stream,
                data_eof,
                session,
            )
            .await?;

        let mut exec_ctx = session.create_execution_ctx();
        let Some((stats_array, aggregate_fns)) =
            stats_accumulator.lock().as_array(&mut exec_ctx)?
        else {
            // If we have no stats (e.g. the DType doesn't support them), then we just return the
            // child layout.
            return Ok(data_layout);
        };

        // We must defer creating the stats table LayoutWriter until now, because the DType of
        // the table depends on which stats were successfully computed.
        let stats_stream = stats_array
            .into_array()
            .to_array_stream()
            .sequenced(eof.split_off());
        let zones_layout = self
            .stats
            .write_stream(ctx, Arc::clone(&segment_sink), stats_stream, eof, session)
            .await?;

        Ok(
            ZonedLayout::try_new(data_layout, zones_layout, block_size, aggregate_fns)?
                .into_layout(),
        )
    }

    fn buffered_bytes(&self) -> u64 {
        self.child.buffered_bytes() + self.stats.buffered_bytes()
    }
}

fn default_zoned_aggregate_fns(dtype: &DType) -> Arc<[AggregateFnRef]> {
    let (max, min) = match dtype {
        DType::Utf8(_) | DType::Binary(_) => (
            BoundedMax.bind(BoundedMaxOptions {
                max_bytes: default_bounded_stat_max_bytes(),
            }),
            BoundedMin.bind(BoundedMinOptions {
                max_bytes: default_bounded_stat_max_bytes(),
            }),
        ),
        _ => (
            Max.bind(NumericalAggregateOpts::skip_nans()),
            Min.bind(NumericalAggregateOpts::skip_nans()),
        ),
    };

    let mut aggregate_fns = vec![max, min];
    if Sum
        .return_dtype(&NumericalAggregateOpts::skip_nans(), dtype)
        .is_some()
    {
        aggregate_fns.push(Sum.bind(NumericalAggregateOpts::skip_nans()));
    }
    aggregate_fns.push(NanCount.bind(EmptyOptions));
    aggregate_fns.push(NullCount.bind(EmptyOptions));

    aggregate_fns.into()
}

#[cfg(test)]
mod tests {
    use vortex_array::aggregate_fn::fns::bounded_max::BoundedMax;
    use vortex_array::aggregate_fn::fns::bounded_min::BoundedMin;
    use vortex_array::aggregate_fn::fns::max::Max;
    use vortex_array::aggregate_fn::fns::min::Min;
    use vortex_array::aggregate_fn::fns::sum::Sum;
    use vortex_array::dtype::Nullability;
    use vortex_array::dtype::PType;
    use vortex_array::extension::datetime::TimeUnit;
    use vortex_array::extension::datetime::Timestamp;

    use super::*;

    #[test]
    fn default_aggregates_bound_variable_length_min_max() {
        let aggregate_fns = default_zoned_aggregate_fns(&DType::Utf8(Nullability::NonNullable));

        assert_eq!(
            aggregate_fns[0].as_::<BoundedMax>().max_bytes,
            default_bounded_stat_max_bytes()
        );
        assert_eq!(
            aggregate_fns[1].as_::<BoundedMin>().max_bytes,
            default_bounded_stat_max_bytes()
        );
    }

    #[test]
    fn default_aggregates_keep_fixed_width_min_max_exact() {
        let aggregate_fns = default_zoned_aggregate_fns(&PType::I32.into());

        assert!(aggregate_fns[0].is::<Max>());
        assert!(aggregate_fns[1].is::<Min>());
        assert!(aggregate_fns[2].is::<Sum>());
    }

    #[test]
    fn default_aggregates_skip_sum_for_non_summable_dtype() {
        let dtype = DType::Extension(
            Timestamp::new(TimeUnit::Microseconds, Nullability::Nullable).erased(),
        );
        let aggregate_fns = default_zoned_aggregate_fns(&dtype);

        assert!(
            aggregate_fns
                .iter()
                .all(|aggregate_fn| !aggregate_fn.is::<Sum>())
        );
    }
}