// SPDX-License-Identifier: Apache-2.0
// Copyright 2024-2026 Dragonscale Team
// Rust guideline compliant

//! Performance benchmarks for pushdown hydration architecture.
//!
//! These benchmarks measure the performance improvement from loading properties
//! at scan time (pushdown) versus eager hydration on every access.
//!
//! # Expected Results
//!
//! With pushdown hydration, queries that access a subset of edge/vertex properties
//! should show 2-3x improvement over eager hydration (loading all properties).
//!
//! For temporal queries with `validAt` functions, we expect 50-100x improvement
//! since only the required temporal properties (start, end) are loaded instead of
//! all properties.
//!
//! # Running Benchmarks
//!
//! ```bash
//! cargo bench --bench pushdown_performance
//! ```
//!
//! # TODO
//!
//! The current benchmarks are placeholders. To implement full benchmarks:
//!
//! 1. Use the lower-level Storage and PropertyManager APIs (see micro_benchmarks.rs)
//! 2. Measure property loading time separately from query execution
//! 3. Compare scan with pushdown vs scan + eager hydration
//! 4. Add memory usage comparisons (fewer properties loaded = less memory)

use criterion::{Criterion, criterion_group, criterion_main};

/// Placeholder benchmark for property pushdown
fn bench_property_pushdown_placeholder(_c: &mut Criterion) {
    // TODO: Implement once full Uni API supports benchmark mode
    // See integration tests in tests/pushdown_hydration_e2e.rs for functional validation
}

/// Placeholder benchmark for temporal queries
fn bench_temporal_query_placeholder(_c: &mut Criterion) {
    // TODO: Implement validAt query benchmarks
}

/// Placeholder benchmark for traverse with filters
fn bench_traverse_with_filter_placeholder(_c: &mut Criterion) {
    // TODO: Implement edge property filtering benchmarks
}

criterion_group!(
    benches,
    bench_property_pushdown_placeholder,
    bench_temporal_query_placeholder,
    bench_traverse_with_filter_placeholder
);
criterion_main!(benches);
