hawdb-executor 0.15.0

An embedded Rust graph database for local data-plane workloads
Documentation 
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// Copyright 2026 Nowledge
//
// 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.

//! Recursive batch wiring for storage-independent blocking operators.

use super::*;
use crate::blocking::{self as executor_blocking, BindingBatchSource};

struct RecursiveBindingBatchSource<'a> {
    context: BatchReadContext<'a>,
}

pub(super) fn stream_graph_match_batches(
    program: &hawdb_plan_cypher::GraphMatchProgram,
    input: Option<&PhysicalPlan>,
    context: BatchReadContext<'_>,
    execution_limit: ExecutionLimit,
    emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
) -> Result<BatchControl> {
    let mut source = RecursiveBindingBatchSource { context };
    crate::graph_match::stream_graph_match(
        program,
        input,
        &mut source,
        context.store,
        context.kernel_context(),
        execution_limit,
        emit,
    )
}

pub(super) fn stream_hash_join_batches(
    plan: &PhysicalPlan,
    context: BatchReadContext<'_>,
    execution_limit: ExecutionLimit,
    emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
) -> Result<BatchControl> {
    let mut source = RecursiveBindingBatchSource { context };
    executor_blocking::stream_hash_join_batches(
        plan,
        &mut source,
        context.kernel_context(),
        execution_limit,
        emit,
    )
}

impl BindingBatchSource for RecursiveBindingBatchSource<'_> {
    fn execute(
        &mut self,
        input: &PhysicalPlan,
        execution_limit: ExecutionLimit,
        emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
    ) -> Result<BatchControl> {
        execute_binding_batches(input, self.context, execution_limit, emit)
    }
}

pub(super) fn stream_distinct_batches(
    input: &PhysicalPlan,
    context: BatchReadContext<'_>,
    execution_limit: ExecutionLimit,
    emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
) -> Result<BatchControl> {
    let mut source = RecursiveBindingBatchSource { context };
    executor_blocking::stream_distinct_batches(
        input,
        &mut source,
        context.kernel_context(),
        execution_limit,
        emit,
    )
}

pub(super) fn stream_sort_batches(
    input: &PhysicalPlan,
    items: &[SortItem],
    context: BatchReadContext<'_>,
    execution_limit: ExecutionLimit,
    emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
) -> Result<BatchControl> {
    let mut source = RecursiveBindingBatchSource { context };
    executor_blocking::stream_sort_batches(
        input,
        items,
        &mut source,
        context.kernel_context(),
        execution_limit,
        emit,
    )
}

#[allow(clippy::too_many_arguments)]
pub(super) fn stream_top_n_batches(
    input: &PhysicalPlan,
    items: &[SortItem],
    offset: usize,
    limit: usize,
    context: BatchReadContext<'_>,
    execution_limit: ExecutionLimit,
    emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
) -> Result<BatchControl> {
    let mut source = RecursiveBindingBatchSource { context };
    executor_blocking::stream_top_n_batches(
        input,
        items,
        offset,
        limit,
        &mut source,
        context.kernel_context(),
        execution_limit,
        emit,
    )
}

pub(super) fn stream_aggregate_batches(
    input: &PhysicalPlan,
    group_keys: &[Projection],
    items: &[Aggregation],
    context: BatchReadContext<'_>,
    execution_limit: ExecutionLimit,
    emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
) -> Result<BatchControl> {
    let mut source = RecursiveBindingBatchSource { context };
    executor_blocking::stream_aggregate_batches(
        input,
        group_keys,
        items,
        &mut source,
        context.kernel_context(),
        execution_limit,
        emit,
    )
}

pub(super) fn stream_cartesian_product_batches(
    left: &PhysicalPlan,
    right: &PhysicalPlan,
    context: BatchReadContext<'_>,
    execution_limit: ExecutionLimit,
    emit: &mut dyn FnMut(BindingBatch) -> Result<BatchControl>,
) -> Result<BatchControl> {
    let mut source = RecursiveBindingBatchSource { context };
    executor_blocking::stream_cartesian_product_batches(
        left,
        right,
        &mut source,
        context.kernel_context(),
        execution_limit,
        emit,
    )
}