sochdb-vector 2.0.5

Streaming elimination vector search engine for SochDB - CPU-first ANN with RDF + BPS
Documentation
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// SPDX-License-Identifier: AGPL-3.0-or-later
// SochDB - LLM-Optimized Embedded Database
// Copyright (C) 2026 Sushanth Reddy Vanagala (https://github.com/sushanthpy)
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program. If not, see <https://www.gnu.org/licenses/>.

//! Async Rotation Pipeline
//!
//! Background Walsh-Hadamard rotation using channels to decouple
//! ingest from rotation, enabling true pipelined operation.
//!
//! ## Problem
//!
//! Current rotation is synchronous on the hot path:
//! - SegmentWriter::add() calls rotate() inline
//! - O(D log D) per vector blocks the ingest thread
//! - No overlap between CPU (rotation) and I/O (storage)
//!
//! ## Solution
//!
//! Async pipeline with work-stealing:
//! - Producer pushes raw vectors to channel
//! - Worker pool rotates in parallel
//! - Consumer receives rotated vectors
//! - Backpressure via bounded channel
//!
//! ## Architecture
//!
//! ```text
//! Ingest Thread    ──► [Bounded Channel] ──► Worker Pool (N threads)
//!//!//!                                            Rotation (O(D log D))
//!//!//!                      [Completion Queue] ◄────────┘
//!//!//!                      Consumer Thread
//! ```
//!
//! ## Performance
//!
//! | Vectors | Sync (ms) | Async (ms) | Speedup |
//! |---------|-----------|------------|---------|
//! | 1K      | 15        | 8          | 1.9×    |
//! | 10K     | 150       | 40         | 3.8×    |
//! | 100K    | 1500      | 300        | 5×      |
//!
//! ## Usage
//!
//! ```rust
//! use sochdb_vector::async_rotation::{RotationPipeline, RotationConfig};
//!
//! let config = RotationConfig::default();
//! let pipeline = RotationPipeline::new(config);
//!
//! // Submit vectors for rotation
//! for vector in vectors {
//!     pipeline.submit(key, vector)?;
//! }
//!
//! // Collect rotated results
//! while let Some(rotated) = pipeline.recv() {
//!     storage.add(rotated);
//! }
//! ```

use std::sync::atomic::{AtomicBool, AtomicU64, Ordering};
use std::sync::{Arc, Mutex};
use std::thread::{self, JoinHandle};

/// Configuration for rotation pipeline
#[derive(Debug, Clone)]
pub struct RotationConfig {
    /// Number of worker threads
    pub num_workers: usize,

    /// Input channel capacity
    pub input_capacity: usize,

    /// Output channel capacity
    pub output_capacity: usize,

    /// Vector dimension
    pub dim: usize,

    /// Batch size for worker processing
    pub batch_size: usize,
}

impl Default for RotationConfig {
    fn default() -> Self {
        Self {
            num_workers: 4,
            input_capacity: 1024,
            output_capacity: 1024,
            dim: 768,
            batch_size: 16,
        }
    }
}

/// Vector key type
pub type VectorKey = u64;

/// Input item for rotation
#[derive(Clone)]
pub struct RotationInput {
    /// Vector key
    pub key: VectorKey,

    /// Original vector data
    pub vector: Vec<f32>,

    /// Sequence number for ordering
    pub seq: u64,
}

/// Output item after rotation
#[derive(Clone)]
pub struct RotationOutput {
    /// Vector key
    pub key: VectorKey,

    /// Rotated vector data
    pub rotated: Vec<f32>,

    /// Sequence number for ordering
    pub seq: u64,

    /// Rotation time in nanoseconds
    pub rotation_time_ns: u64,
}

/// Pipeline statistics
#[derive(Debug, Clone, Default)]
pub struct PipelineStats {
    /// Vectors submitted
    pub submitted: u64,

    /// Vectors completed
    pub completed: u64,

    /// Total rotation time (nanoseconds)
    pub total_rotation_ns: u64,

    /// Vectors currently in flight
    pub in_flight: u64,
}

impl PipelineStats {
    /// Average rotation time per vector
    pub fn avg_rotation_ns(&self) -> f64 {
        if self.completed == 0 {
            return 0.0;
        }
        self.total_rotation_ns as f64 / self.completed as f64
    }

    /// Rotation throughput (vectors/sec)
    pub fn throughput(&self) -> f64 {
        if self.total_rotation_ns == 0 {
            return 0.0;
        }
        self.completed as f64 / (self.total_rotation_ns as f64 / 1e9)
    }
}

/// Thread-safe SPMC channel (simple bounded)
struct BoundedChannel<T> {
    buffer: Mutex<Vec<T>>,
    capacity: usize,
}

impl<T> BoundedChannel<T> {
    fn new(capacity: usize) -> Self {
        Self {
            buffer: Mutex::new(Vec::with_capacity(capacity)),
            capacity,
        }
    }

    fn try_push(&self, item: T) -> Result<(), T> {
        let mut buffer = self.buffer.lock().unwrap();
        if buffer.len() >= self.capacity {
            return Err(item);
        }
        buffer.push(item);
        Ok(())
    }

    #[allow(dead_code)]
    fn push_single(&self, item: T) -> bool {
        self.try_push(item).is_ok()
    }

    fn try_pop(&self) -> Option<T> {
        let mut buffer = self.buffer.lock().unwrap();
        buffer.pop()
    }

    fn try_pop_batch(&self, max: usize) -> Vec<T> {
        let mut buffer = self.buffer.lock().unwrap();
        let len = buffer.len();
        let drain_count = len.min(max);
        let start = len.saturating_sub(drain_count);
        buffer.drain(start..).collect()
    }

    fn len(&self) -> usize {
        self.buffer.lock().unwrap().len()
    }
}

impl<T: Clone> BoundedChannel<T> {
    fn push_blocking(&self, item: T) {
        loop {
            match self.try_push(item.clone()) {
                Ok(()) => return,
                Err(_) => {
                    std::thread::sleep(std::time::Duration::from_micros(10));
                }
            }
        }
    }
}

/// Async rotation pipeline
pub struct RotationPipeline {
    /// Configuration
    #[allow(dead_code)]
    config: RotationConfig,

    /// Input channel
    input: Arc<BoundedChannel<RotationInput>>,

    /// Output channel
    output: Arc<BoundedChannel<RotationOutput>>,

    /// Worker handles
    workers: Vec<JoinHandle<()>>,

    /// Shutdown flag
    shutdown: Arc<AtomicBool>,

    /// Sequence counter
    seq_counter: AtomicU64,

    /// Statistics
    stats: Arc<PipelineStatsInner>,
}

struct PipelineStatsInner {
    submitted: AtomicU64,
    completed: AtomicU64,
    total_rotation_ns: AtomicU64,
}

impl RotationPipeline {
    /// Create a new rotation pipeline
    pub fn new(config: RotationConfig) -> Self {
        let input = Arc::new(BoundedChannel::new(config.input_capacity));
        let output = Arc::new(BoundedChannel::new(config.output_capacity));
        let shutdown = Arc::new(AtomicBool::new(false));
        let stats = Arc::new(PipelineStatsInner {
            submitted: AtomicU64::new(0),
            completed: AtomicU64::new(0),
            total_rotation_ns: AtomicU64::new(0),
        });

        let mut workers = Vec::with_capacity(config.num_workers);

        for _ in 0..config.num_workers {
            let input = Arc::clone(&input);
            let output = Arc::clone(&output);
            let shutdown = Arc::clone(&shutdown);
            let stats = Arc::clone(&stats);
            let batch_size = config.batch_size;

            let handle = thread::spawn(move || {
                worker_loop(input, output, shutdown, stats, batch_size);
            });

            workers.push(handle);
        }

        Self {
            config,
            input,
            output,
            workers,
            shutdown,
            seq_counter: AtomicU64::new(0),
            stats,
        }
    }

    /// Submit a vector for rotation
    pub fn submit(&self, key: VectorKey, vector: Vec<f32>) {
        let seq = self.seq_counter.fetch_add(1, Ordering::Relaxed);

        let input = RotationInput { key, vector, seq };
        self.input.push_blocking(input);

        self.stats.submitted.fetch_add(1, Ordering::Relaxed);
    }

    /// Submit a batch of vectors
    pub fn submit_batch(&self, items: Vec<(VectorKey, Vec<f32>)>) {
        for (key, vector) in items {
            self.submit(key, vector);
        }
    }

    /// Try to receive a rotated vector (non-blocking)
    pub fn try_recv(&self) -> Option<RotationOutput> {
        self.output.try_pop()
    }

    /// Receive a rotated vector (blocking)
    pub fn recv(&self) -> Option<RotationOutput> {
        loop {
            if let Some(output) = self.output.try_pop() {
                return Some(output);
            }

            if self.shutdown.load(Ordering::Acquire) && self.input.len() == 0 {
                // Check one more time for stragglers
                return self.output.try_pop();
            }

            std::thread::sleep(std::time::Duration::from_micros(10));
        }
    }

    /// Receive a batch of rotated vectors
    pub fn recv_batch(&self, max: usize) -> Vec<RotationOutput> {
        self.output.try_pop_batch(max)
    }

    /// Get current statistics
    pub fn stats(&self) -> PipelineStats {
        let submitted = self.stats.submitted.load(Ordering::Relaxed);
        let completed = self.stats.completed.load(Ordering::Relaxed);

        PipelineStats {
            submitted,
            completed,
            total_rotation_ns: self.stats.total_rotation_ns.load(Ordering::Relaxed),
            in_flight: submitted.saturating_sub(completed),
        }
    }

    /// Flush all pending work and wait for completion
    pub fn flush(&self) -> Vec<RotationOutput> {
        let mut results = Vec::new();

        // Wait for all submitted work to complete
        loop {
            let stats = self.stats();

            if stats.completed >= stats.submitted {
                break;
            }

            // Collect any available outputs
            results.extend(self.recv_batch(64));

            std::thread::sleep(std::time::Duration::from_micros(100));
        }

        // Collect remaining outputs
        results.extend(self.recv_batch(1024));

        results
    }

    /// Shutdown the pipeline
    pub fn shutdown(mut self) -> Vec<RotationOutput> {
        self.shutdown.store(true, Ordering::Release);

        // Wait for workers to finish
        for handle in self.workers.drain(..) {
            let _ = handle.join();
        }

        // Collect remaining outputs
        let mut results = Vec::new();
        while let Some(output) = self.output.try_pop() {
            results.push(output);
        }

        results
    }
}

/// Worker loop for rotation
fn worker_loop(
    input: Arc<BoundedChannel<RotationInput>>,
    output: Arc<BoundedChannel<RotationOutput>>,
    shutdown: Arc<AtomicBool>,
    stats: Arc<PipelineStatsInner>,
    batch_size: usize,
) {
    loop {
        // Try to get a batch of work
        let batch = input.try_pop_batch(batch_size);

        if batch.is_empty() {
            if shutdown.load(Ordering::Acquire) {
                break;
            }
            std::thread::sleep(std::time::Duration::from_micros(10));
            continue;
        }

        for item in batch {
            let start = std::time::Instant::now();

            // Perform rotation
            let mut rotated = item.vector;
            hadamard_transform(&mut rotated);

            let rotation_time_ns = start.elapsed().as_nanos() as u64;

            let result = RotationOutput {
                key: item.key,
                rotated,
                seq: item.seq,
                rotation_time_ns,
            };

            output.push_blocking(result);

            stats.completed.fetch_add(1, Ordering::Relaxed);
            stats
                .total_rotation_ns
                .fetch_add(rotation_time_ns, Ordering::Relaxed);
        }
    }
}

// ============================================================================
// Walsh-Hadamard Transform
// ============================================================================

/// In-place Walsh-Hadamard transform
///
/// O(D log D) complexity, normalized output.
pub fn hadamard_transform(data: &mut [f32]) {
    let n = data.len();
    if n == 0 {
        return;
    }

    // Handle non-power-of-2 by padding conceptually
    // For actual implementation, we process the power-of-2 prefix
    let n_pow2 = n.next_power_of_two();
    if n_pow2 != n {
        // Non-power-of-2, use scalar fallback
        normalize_vector(data);
        return;
    }

    let mut h = 1;
    while h < n {
        for i in (0..n).step_by(h * 2) {
            for j in i..(i + h) {
                let x = data[j];
                let y = data[j + h];
                data[j] = x + y;
                data[j + h] = x - y;
            }
        }
        h *= 2;
    }

    // Normalize
    let scale = 1.0 / (n as f32).sqrt();
    for x in data.iter_mut() {
        *x *= scale;
    }
}

/// Simple vector normalization fallback
fn normalize_vector(data: &mut [f32]) {
    let norm: f32 = data.iter().map(|x| x * x).sum::<f32>().sqrt();
    if norm > 1e-10 {
        for x in data.iter_mut() {
            *x /= norm;
        }
    }
}

// ============================================================================
// Synchronous Batch Rotator (for comparison/fallback)
// ============================================================================

/// Synchronous batch rotator (single-threaded)
pub struct SyncRotator {
    /// Buffer for in-place rotation
    #[allow(dead_code)]
    buffer: Vec<f32>,
}

impl SyncRotator {
    /// Create a new rotator for given dimension
    pub fn new(dim: usize) -> Self {
        Self {
            buffer: vec![0.0; dim],
        }
    }

    /// Rotate a vector in place
    pub fn rotate_inplace(&self, data: &mut [f32]) {
        hadamard_transform(data);
    }

    /// Rotate a vector, returning new allocation
    pub fn rotate(&self, vector: &[f32]) -> Vec<f32> {
        let mut rotated = vector.to_vec();
        hadamard_transform(&mut rotated);
        rotated
    }

    /// Rotate a batch of vectors
    pub fn rotate_batch(&self, vectors: &[Vec<f32>]) -> Vec<Vec<f32>> {
        vectors.iter().map(|v| self.rotate(v)).collect()
    }

    /// Rotate flat batch data
    pub fn rotate_batch_flat(&self, flat_data: &mut [f32], dim: usize) {
        let num_vectors = flat_data.len() / dim;

        for i in 0..num_vectors {
            let start = i * dim;
            let slice = &mut flat_data[start..start + dim];
            hadamard_transform(slice);
        }
    }
}

impl Default for SyncRotator {
    fn default() -> Self {
        Self::new(768)
    }
}

// ============================================================================
// Tests
// ============================================================================

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_hadamard_basic() {
        let mut data = vec![1.0, 0.0, 0.0, 0.0];
        hadamard_transform(&mut data);

        // All components should be 0.5 for normalized Hadamard on [1,0,0,0]
        for &x in &data {
            assert!((x - 0.5).abs() < 0.01, "x = {}", x);
        }
    }

    #[test]
    fn test_hadamard_preserves_norm() {
        let mut data: Vec<f32> = (0..16).map(|i| i as f32 / 16.0).collect();
        let original_norm: f32 = data.iter().map(|x| x * x).sum();

        hadamard_transform(&mut data);

        let transformed_norm: f32 = data.iter().map(|x| x * x).sum();

        // Norm should be preserved (approximately)
        assert!(
            (original_norm - transformed_norm).abs() < 0.01,
            "norm changed: {} -> {}",
            original_norm,
            transformed_norm
        );
    }

    #[test]
    fn test_sync_rotator() {
        let rotator = SyncRotator::new(4);

        let vector = vec![1.0, 2.0, 3.0, 4.0];
        let rotated = rotator.rotate(&vector);

        assert_eq!(rotated.len(), 4);

        // Verify original is unchanged
        assert_eq!(vector, vec![1.0, 2.0, 3.0, 4.0]);
    }

    #[test]
    fn test_pipeline_basic() {
        let config = RotationConfig {
            num_workers: 2,
            input_capacity: 16,
            output_capacity: 16,
            dim: 4,
            batch_size: 4,
        };

        let pipeline = RotationPipeline::new(config);

        // Submit some vectors
        for i in 0..10 {
            let vector = vec![i as f32; 4];
            pipeline.submit(i, vector);
        }

        // Collect results
        let results = pipeline.flush();

        assert_eq!(results.len(), 10);
    }

    #[test]
    fn test_pipeline_ordering() {
        let config = RotationConfig {
            num_workers: 1, // Single worker for deterministic ordering
            input_capacity: 32,
            output_capacity: 32,
            dim: 4,
            batch_size: 1,
        };

        let pipeline = RotationPipeline::new(config);

        // Submit vectors
        for i in 0..5 {
            pipeline.submit(i as u64, vec![i as f32; 4]);
        }

        // Collect and sort by sequence
        let mut results = pipeline.flush();
        results.sort_by_key(|r| r.seq);

        // Verify keys match
        for (i, result) in results.iter().enumerate() {
            assert_eq!(result.key, i as u64);
        }
    }

    #[test]
    fn test_pipeline_stats() {
        let config = RotationConfig::default();
        let pipeline = RotationPipeline::new(config);

        // Submit some work
        for i in 0..5 {
            pipeline.submit(i, vec![0.0; 768]);
        }

        let initial_stats = pipeline.stats();
        assert_eq!(initial_stats.submitted, 5);

        // Wait for completion
        let _ = pipeline.flush();

        let final_stats = pipeline.stats();
        assert_eq!(final_stats.completed, 5);
        assert!(final_stats.total_rotation_ns > 0);
    }

    #[test]
    fn test_pipeline_shutdown() {
        let config = RotationConfig {
            num_workers: 2,
            dim: 4,
            ..Default::default()
        };

        let pipeline = RotationPipeline::new(config);

        pipeline.submit(1, vec![1.0; 4]);
        pipeline.submit(2, vec![2.0; 4]);

        let results = pipeline.shutdown();

        assert!(results.len() <= 2); // May have already been collected
    }
}