risingwave_stream/executor/project/

project_scalar.rs

// Copyright 2025 RisingWave Labs
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

use multimap::MultiMap;
use risingwave_common::row::RowExt;
use risingwave_common::types::ToOwnedDatum;
use risingwave_common::util::iter_util::ZipEqFast;
use risingwave_expr::expr::NonStrictExpression;

use crate::executor::prelude::*;

/// `ProjectExecutor` project data with the `expr`. The `expr` takes a chunk of data,
/// and returns a new data chunk. And then, `ProjectExecutor` will insert, delete
/// or update element into next operator according to the result of the expression.
pub struct ProjectExecutor {
    input: Executor,
    inner: Inner,
}

struct Inner {
    _ctx: ActorContextRef,

    /// Expressions of the current projection.
    exprs: Vec<NonStrictExpression>,
    /// All the watermark derivations, (`input_column_index`, `output_column_index`). And the
    /// derivation expression is the project's expression itself.
    watermark_derivations: MultiMap<usize, usize>,
    /// Indices of nondecreasing expressions in the expression list.
    nondecreasing_expr_indices: Vec<usize>,
    /// Last seen values of nondecreasing expressions, buffered to periodically produce watermarks.
    last_nondec_expr_values: Vec<Option<ScalarImpl>>,
    /// Whether the stream is paused.
    is_paused: bool,

    /// Whether there are likely no-op updates in the output chunks, so that eliminating them with
    /// `StreamChunk::eliminate_adjacent_noop_update` could be beneficial.
    eliminate_noop_updates: bool,
}

impl ProjectExecutor {
    pub fn new(
        ctx: ActorContextRef,
        input: Executor,
        exprs: Vec<NonStrictExpression>,
        watermark_derivations: MultiMap<usize, usize>,
        nondecreasing_expr_indices: Vec<usize>,
        noop_update_hint: bool,
    ) -> Self {
        let n_nondecreasing_exprs = nondecreasing_expr_indices.len();
        let eliminate_noop_updates =
            noop_update_hint || ctx.config.developer.aggressive_noop_update_elimination;
        Self {
            input,
            inner: Inner {
                _ctx: ctx,
                exprs,
                watermark_derivations,
                nondecreasing_expr_indices,
                last_nondec_expr_values: vec![None; n_nondecreasing_exprs],
                is_paused: false,
                eliminate_noop_updates,
            },
        }
    }
}

impl Debug for ProjectExecutor {
    fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
        f.debug_struct("ProjectExecutor")
            .field("exprs", &self.inner.exprs)
            .finish()
    }
}

impl Execute for ProjectExecutor {
    fn execute(self: Box<Self>) -> BoxedMessageStream {
        self.inner.execute(self.input).boxed()
    }
}

pub async fn apply_project_exprs(
    exprs: &[NonStrictExpression],
    chunk: StreamChunk,
) -> StreamExecutorResult<StreamChunk> {
    let (data_chunk, ops) = chunk.into_parts();
    let mut projected_columns = Vec::new();

    for expr in exprs {
        let evaluated_expr = expr.eval_infallible(&data_chunk).await;
        projected_columns.push(evaluated_expr);
    }
    let (_, vis) = data_chunk.into_parts();

    let new_chunk = StreamChunk::with_visibility(ops, projected_columns, vis);

    Ok(new_chunk)
}

impl Inner {
    async fn map_filter_chunk(
        &self,
        chunk: StreamChunk,
    ) -> StreamExecutorResult<Option<StreamChunk>> {
        let mut new_chunk = apply_project_exprs(&self.exprs, chunk).await?;
        if self.eliminate_noop_updates {
            new_chunk = new_chunk.eliminate_adjacent_noop_update();
        }
        Ok(Some(new_chunk))
    }

    async fn handle_watermark(&self, watermark: Watermark) -> StreamExecutorResult<Vec<Watermark>> {
        let out_col_indices = match self.watermark_derivations.get_vec(&watermark.col_idx) {
            Some(v) => v,
            None => return Ok(vec![]),
        };
        let mut ret = vec![];
        for out_col_idx in out_col_indices {
            let out_col_idx = *out_col_idx;
            let derived_watermark = watermark
                .clone()
                .transform_with_expr(&self.exprs[out_col_idx], out_col_idx)
                .await;
            if let Some(derived_watermark) = derived_watermark {
                ret.push(derived_watermark);
            } else {
                warn!(
                    "a NULL watermark is derived with the expression {}!",
                    out_col_idx
                );
            }
        }
        Ok(ret)
    }

    #[try_stream(ok = Message, error = StreamExecutorError)]
    async fn execute(mut self, input: Executor) {
        let mut input = input.execute();
        let first_barrier = expect_first_barrier(&mut input).await?;
        self.is_paused = first_barrier.is_pause_on_startup();
        yield Message::Barrier(first_barrier);

        #[for_await]
        for msg in input {
            let msg = msg?;
            match msg {
                Message::Watermark(w) => {
                    let watermarks = self.handle_watermark(w).await?;
                    for watermark in watermarks {
                        yield Message::Watermark(watermark)
                    }
                }
                Message::Chunk(chunk) => match self.map_filter_chunk(chunk).await? {
                    Some(new_chunk) => {
                        if !self.nondecreasing_expr_indices.is_empty()
                            && let Some((_, first_visible_row)) = new_chunk.rows().next()
                        {
                            // it's ok to use the first row here, just one chunk delay
                            first_visible_row
                                .project(&self.nondecreasing_expr_indices)
                                .iter()
                                .enumerate()
                                .for_each(|(idx, value)| {
                                    self.last_nondec_expr_values[idx] =
                                        Some(value.to_owned_datum().expect(
                                            "non-decreasing expression should never be NULL",
                                        ));
                                });
                        }
                        yield Message::Chunk(new_chunk)
                    }
                    None => continue,
                },
                Message::Barrier(barrier) => {
                    if !self.is_paused {
                        for (&expr_idx, value) in self
                            .nondecreasing_expr_indices
                            .iter()
                            .zip_eq_fast(&mut self.last_nondec_expr_values)
                        {
                            if let Some(value) = std::mem::take(value) {
                                yield Message::Watermark(Watermark::new(
                                    expr_idx,
                                    self.exprs[expr_idx].return_type(),
                                    value,
                                ))
                            }
                        }
                    }

                    if let Some(mutation) = barrier.mutation.as_deref() {
                        match mutation {
                            Mutation::Pause => {
                                self.is_paused = true;
                            }
                            Mutation::Resume => {
                                self.is_paused = false;
                            }
                            _ => (),
                        }
                    }

                    yield Message::Barrier(barrier);
                }
            }
        }
    }
}

#[cfg(test)]
mod tests {
    use std::sync::atomic::{self, AtomicI64};

    use risingwave_common::array::DataChunk;
    use risingwave_common::array::stream_chunk::StreamChunkTestExt;
    use risingwave_common::catalog::Field;
    use risingwave_common::types::DefaultOrd;
    use risingwave_common::util::epoch::test_epoch;
    use risingwave_expr::expr::{self, Expression, ValueImpl};

    use super::*;
    use crate::executor::test_utils::expr::build_from_pretty;
    use crate::executor::test_utils::{MockSource, StreamExecutorTestExt};

    #[tokio::test]
    async fn test_projection() {
        let chunk1 = StreamChunk::from_pretty(
            " I I
            + 1 4
            + 2 5
            + 3 6",
        );
        let chunk2 = StreamChunk::from_pretty(
            " I I
            + 7 8
            - 3 6",
        );
        let schema = Schema {
            fields: vec![
                Field::unnamed(DataType::Int64),
                Field::unnamed(DataType::Int64),
            ],
        };
        let stream_key = vec![0];
        let (mut tx, source) = MockSource::channel();
        let source = source.into_executor(schema, stream_key);

        let test_expr = build_from_pretty("(add:int8 $0:int8 $1:int8)");

        let proj = ProjectExecutor::new(
            ActorContext::for_test(123),
            source,
            vec![test_expr],
            MultiMap::new(),
            vec![],
            false,
        );
        let mut proj = proj.boxed().execute();

        tx.push_barrier(test_epoch(1), false);
        let barrier = proj.next().await.unwrap().unwrap();
        barrier.as_barrier().unwrap();

        tx.push_chunk(chunk1);
        tx.push_chunk(chunk2);

        let msg = proj.next().await.unwrap().unwrap();
        assert_eq!(
            *msg.as_chunk().unwrap(),
            StreamChunk::from_pretty(
                " I
                + 5
                + 7
                + 9"
            )
        );

        let msg = proj.next().await.unwrap().unwrap();
        assert_eq!(
            *msg.as_chunk().unwrap(),
            StreamChunk::from_pretty(
                "  I
                + 15
                -  9"
            )
        );

        tx.push_barrier(test_epoch(2), true);
        assert!(proj.next().await.unwrap().unwrap().is_stop());
    }

    static DUMMY_COUNTER: AtomicI64 = AtomicI64::new(0);

    #[derive(Debug)]
    struct DummyNondecreasingExpr;

    #[async_trait::async_trait]
    impl Expression for DummyNondecreasingExpr {
        fn return_type(&self) -> DataType {
            DataType::Int64
        }

        async fn eval_v2(&self, input: &DataChunk) -> expr::Result<ValueImpl> {
            let value = DUMMY_COUNTER.fetch_add(1, atomic::Ordering::SeqCst);
            Ok(ValueImpl::Scalar {
                value: Some(value.into()),
                capacity: input.capacity(),
            })
        }

        async fn eval_row(&self, _input: &OwnedRow) -> expr::Result<Datum> {
            let value = DUMMY_COUNTER.fetch_add(1, atomic::Ordering::SeqCst);
            Ok(Some(value.into()))
        }
    }

    #[tokio::test]
    async fn test_watermark_projection() {
        let schema = Schema {
            fields: vec![
                Field::unnamed(DataType::Int64),
                Field::unnamed(DataType::Int64),
            ],
        };
        let (mut tx, source) = MockSource::channel();
        let source = source.into_executor(schema, StreamKey::new());

        let a_expr = build_from_pretty("(add:int8 $0:int8 1:int8)");
        let b_expr = build_from_pretty("(subtract:int8 $0:int8 1:int8)");
        let c_expr = NonStrictExpression::for_test(DummyNondecreasingExpr);

        let proj = ProjectExecutor::new(
            ActorContext::for_test(123),
            source,
            vec![a_expr, b_expr, c_expr],
            MultiMap::from_iter(vec![(0, 0), (0, 1)].into_iter()),
            vec![2],
            false,
        );
        let mut proj = proj.boxed().execute();

        tx.push_barrier(test_epoch(1), false);
        tx.push_int64_watermark(0, 100);

        proj.expect_barrier().await;
        let w1 = proj.expect_watermark().await;
        let w2 = proj.expect_watermark().await;
        let (w1, w2) = if w1.col_idx < w2.col_idx {
            (w1, w2)
        } else {
            (w2, w1)
        };

        assert_eq!(
            w1,
            Watermark {
                col_idx: 0,
                data_type: DataType::Int64,
                val: ScalarImpl::Int64(101)
            }
        );
        assert_eq!(
            w2,
            Watermark {
                col_idx: 1,
                data_type: DataType::Int64,
                val: ScalarImpl::Int64(99)
            }
        );

        // just push some random chunks
        tx.push_chunk(StreamChunk::from_pretty(
            "   I I
            + 120 4
            + 146 5
            + 133 6",
        ));
        proj.expect_chunk().await;
        tx.push_chunk(StreamChunk::from_pretty(
            "   I I
            + 213 8
            - 133 6",
        ));
        proj.expect_chunk().await;

        tx.push_barrier(test_epoch(2), false);
        let w3 = proj.expect_watermark().await;
        proj.expect_barrier().await;

        tx.push_chunk(StreamChunk::from_pretty(
            "   I I
            + 100 3
            + 104 5
            + 187 3",
        ));
        proj.expect_chunk().await;

        tx.push_barrier(test_epoch(3), false);
        let w4 = proj.expect_watermark().await;
        proj.expect_barrier().await;

        assert_eq!(w3.col_idx, w4.col_idx);
        assert!(w3.val.default_cmp(&w4.val).is_le());

        tx.push_int64_watermark(1, 100);
        tx.push_barrier(test_epoch(4), true);

        assert!(proj.next().await.unwrap().unwrap().is_stop());
    }
}