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//! Row-Level Result Cache
//!
//! High-performance LRU cache for frequently accessed rows with:
//! - Configurable TTL (time-to-live) per entry
//! - Table-level invalidation for write operations
//! - Memory-bounded with configurable max entries
//! - Cache hit/miss statistics
//!
//! # Performance Impact
//! - Expected 10-100x speedup for repeated single-row lookups
//! - Reduces RocksDB read amplification
//! - Automatic invalidation on INSERT/UPDATE/DELETE
use crate::Tuple;
use lru::LruCache;
use parking_lot::RwLock;
use serde::{Deserialize, Serialize};
use std::collections::HashSet;
use std::num::NonZeroUsize;
use std::sync::atomic::{AtomicU64, Ordering};
use std::time::{Duration, Instant};
/// Cache key for row lookups
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
pub struct RowCacheKey {
/// Table name
pub table: String,
/// Row ID
pub row_id: u64,
}
impl RowCacheKey {
/// Create a new cache key
pub fn new(table: impl Into<String>, row_id: u64) -> Self {
Self {
table: table.into(),
row_id,
}
}
}
/// Cached row entry with metadata
#[derive(Debug, Clone)]
struct CachedRow {
/// The cached tuple
tuple: Tuple,
/// When this entry was cached
cached_at: Instant,
/// Time-to-live for this entry
ttl: Duration,
/// Number of times this entry has been accessed
access_count: u64,
}
impl CachedRow {
/// Create a new cached row
fn new(tuple: Tuple, ttl: Duration) -> Self {
Self {
tuple,
cached_at: Instant::now(),
ttl,
access_count: 1,
}
}
/// Check if this entry has expired
fn is_expired(&self) -> bool {
self.cached_at.elapsed() > self.ttl
}
/// Record an access and return the tuple
fn access(&mut self) -> Tuple {
self.access_count += 1;
self.tuple.clone()
}
}
/// Row cache statistics
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct RowCacheStats {
/// Total cache lookups
pub lookups: u64,
/// Cache hits (found and not expired)
pub hits: u64,
/// Cache misses (not found)
pub misses: u64,
/// Expired entries encountered
pub expirations: u64,
/// Entries evicted due to capacity
pub evictions: u64,
/// Total entries inserted
pub inserts: u64,
/// Total invalidations
pub invalidations: u64,
/// Current entry count
pub current_entries: u64,
/// Peak entry count
pub peak_entries: u64,
}
impl RowCacheStats {
/// Calculate hit rate (0.0 to 1.0)
pub fn hit_rate(&self) -> f64 {
if self.lookups == 0 {
0.0
} else {
self.hits as f64 / self.lookups as f64
}
}
/// Calculate miss rate (0.0 to 1.0)
pub fn miss_rate(&self) -> f64 {
1.0 - self.hit_rate()
}
}
/// Row cache configuration
#[derive(Debug, Clone)]
pub struct RowCacheConfig {
/// Maximum number of entries in the cache
pub max_entries: usize,
/// Default TTL for cached entries
pub default_ttl: Duration,
/// Minimum TTL (for frequently updated tables)
pub min_ttl: Duration,
/// Maximum TTL (for stable tables)
pub max_ttl: Duration,
/// Whether to enable the cache
pub enabled: bool,
}
impl Default for RowCacheConfig {
fn default() -> Self {
Self {
max_entries: 10_000,
default_ttl: Duration::from_secs(60),
min_ttl: Duration::from_secs(5),
max_ttl: Duration::from_secs(300),
enabled: true,
}
}
}
/// High-performance row cache with LRU eviction and TTL
pub struct RowCache {
/// LRU cache storage
cache: RwLock<LruCache<RowCacheKey, CachedRow>>,
/// Tables with active invalidation (recently written)
hot_tables: RwLock<HashSet<String>>,
/// Last time hot_tables was reset (auto-resets every 60s)
hot_tables_last_reset: RwLock<Instant>,
/// Configuration
config: RowCacheConfig,
/// Statistics (cold counters: inserts/evictions/invalidations/peak)
stats: RwLock<RowCacheStats>,
/// Hot per-lookup counters — atomics so the read path needs no stats lock
/// (P0#4). Merged into `stats()` on demand.
hot_lookups: AtomicU64,
hot_hits: AtomicU64,
hot_misses: AtomicU64,
hot_expirations: AtomicU64,
}
impl RowCache {
/// Create a new row cache with default configuration
pub fn new() -> Self {
Self::with_config(RowCacheConfig::default())
}
/// Create a row cache with custom configuration
pub fn with_config(config: RowCacheConfig) -> Self {
// SAFETY: 1 is always non-zero
let cache_size = NonZeroUsize::new(config.max_entries.max(1)).unwrap_or(NonZeroUsize::MIN);
Self {
cache: RwLock::new(LruCache::new(cache_size)),
hot_tables: RwLock::new(HashSet::new()),
hot_tables_last_reset: RwLock::new(Instant::now()),
config,
stats: RwLock::new(RowCacheStats::default()),
hot_lookups: AtomicU64::new(0),
hot_hits: AtomicU64::new(0),
hot_misses: AtomicU64::new(0),
hot_expirations: AtomicU64::new(0),
}
}
/// Create a row cache with specified capacity
pub fn with_capacity(max_entries: usize) -> Self {
Self::with_config(RowCacheConfig {
max_entries,
..Default::default()
})
}
/// Get a cached row by key
///
/// Returns `Some(Tuple)` if found and not expired, `None` otherwise.
pub fn get(&self, table: &str, row_id: u64) -> Option<Tuple> {
if !self.config.enabled {
return None;
}
let key = RowCacheKey::new(table, row_id);
// P0#4: concurrent-read path. Use a SHARED read lock + `peek` (no LRU
// recency mutation) so simultaneous point lookups don't serialize on an
// exclusive cache lock, and bump lock-free atomic counters instead of
// taking the stats lock. Trade-off: reads no longer promote LRU recency,
// so a read-hot row may be evicted slightly sooner; TTL is unchanged.
// Expired entries are left in place (reaped on the next put/eviction).
self.hot_lookups.fetch_add(1, Ordering::Relaxed);
// HELIOS_ROWCACHE_LEGACY=1 restores the exclusive-write-lock + LRU-recency
// read path for A/B comparison (and as a fallback if strict LRU recency is
// required). Read once.
static LEGACY: once_cell::sync::Lazy<bool> =
once_cell::sync::Lazy::new(|| std::env::var("HELIOS_ROWCACHE_LEGACY").is_ok());
if *LEGACY {
let mut cache = self.cache.write();
if let Some(entry) = cache.get_mut(&key) {
if entry.is_expired() {
cache.pop(&key);
self.hot_expirations.fetch_add(1, Ordering::Relaxed);
return None;
}
let tuple = entry.access();
self.hot_hits.fetch_add(1, Ordering::Relaxed);
return Some(tuple);
}
self.hot_misses.fetch_add(1, Ordering::Relaxed);
return None;
}
{
let cache = self.cache.read();
match cache.peek(&key) {
Some(entry) if !entry.is_expired() => {
let tuple = entry.tuple.clone();
self.hot_hits.fetch_add(1, Ordering::Relaxed);
return Some(tuple);
}
Some(_) => {} // expired — fall through to evict under the write lock
None => {
self.hot_misses.fetch_add(1, Ordering::Relaxed);
return None;
}
}
}
// Expired entry: take the exclusive lock, re-check, and pop exactly once
// (so `expirations` is counted once — not once per read — and the slot is
// reclaimed rather than occupying capacity until the next put). The hot,
// non-expired path above stays fully shared + lock-free.
let mut cache = self.cache.write();
if let Some(entry) = cache.peek(&key) {
if entry.is_expired() {
cache.pop(&key);
self.hot_expirations.fetch_add(1, Ordering::Relaxed);
return None;
}
// Refreshed by a concurrent writer between the read and write lock.
let tuple = entry.tuple.clone();
self.hot_hits.fetch_add(1, Ordering::Relaxed);
return Some(tuple);
}
self.hot_misses.fetch_add(1, Ordering::Relaxed);
None
}
/// Insert a row into the cache
pub fn put(&self, table: &str, row_id: u64, tuple: Tuple) {
if !self.config.enabled {
return;
}
let key = RowCacheKey::new(table, row_id);
// Determine TTL based on table hotness
let ttl = self.get_ttl_for_table(table);
let mut cache = self.cache.write();
// Check if we're at capacity (LRU will handle eviction)
let was_full = cache.len() >= self.config.max_entries;
cache.put(key, CachedRow::new(tuple, ttl));
let mut stats = self.stats.write();
stats.inserts += 1;
stats.current_entries = cache.len() as u64;
if stats.current_entries > stats.peak_entries {
stats.peak_entries = stats.current_entries;
}
if was_full {
stats.evictions += 1;
}
}
/// Invalidate a specific row
pub fn invalidate(&self, table: &str, row_id: u64) {
if !self.config.enabled {
return;
}
let key = RowCacheKey::new(table, row_id);
let mut cache = self.cache.write();
let removed = cache.pop(&key).is_some();
if removed {
let mut stats = self.stats.write();
stats.invalidations += 1;
stats.current_entries = cache.len() as u64;
}
drop(cache);
// Mark the table hot only when this invalidation actually removed a
// cached row. UPDATE/DELETE fast paths often invalidate rows that were
// never cached; paying hot-table bookkeeping on every miss is pure
// write-path overhead and does not protect correctness.
if removed {
self.mark_table_hot(table);
}
}
/// Invalidate all cached rows for a table
pub fn invalidate_table(&self, table: &str) {
if !self.config.enabled {
return;
}
let mut cache = self.cache.write();
let mut stats = self.stats.write();
// Collect keys to remove (can't modify while iterating)
let keys_to_remove: Vec<RowCacheKey> = cache
.iter()
.filter(|(k, _)| k.table == table)
.map(|(k, _)| k.clone())
.collect();
let removed_count = keys_to_remove.len();
for key in keys_to_remove {
cache.pop(&key);
}
stats.invalidations += removed_count as u64;
stats.current_entries = cache.len() as u64;
// Mark table as hot
drop(cache);
drop(stats);
self.mark_table_hot(table);
}
/// Clear all cached entries
pub fn clear(&self) {
let mut cache = self.cache.write();
let count = cache.len();
cache.clear();
let mut stats = self.stats.write();
stats.invalidations += count as u64;
stats.current_entries = 0;
}
/// Get cache statistics
pub fn stats(&self) -> RowCacheStats {
let mut s = self.stats.read().clone();
// Merge the lock-free hot counters (P0#4).
s.lookups += self.hot_lookups.load(Ordering::Relaxed);
s.hits += self.hot_hits.load(Ordering::Relaxed);
s.misses += self.hot_misses.load(Ordering::Relaxed);
s.expirations += self.hot_expirations.load(Ordering::Relaxed);
s
}
/// Reset statistics
pub fn reset_stats(&self) {
let current_entries = self.cache.read().len() as u64;
let mut stats = self.stats.write();
*stats = RowCacheStats {
current_entries,
peak_entries: current_entries,
..Default::default()
};
self.hot_lookups.store(0, Ordering::Relaxed);
self.hot_hits.store(0, Ordering::Relaxed);
self.hot_misses.store(0, Ordering::Relaxed);
self.hot_expirations.store(0, Ordering::Relaxed);
}
/// Check if cache is enabled
pub fn is_enabled(&self) -> bool {
self.config.enabled
}
/// Enable or disable the cache
pub fn set_enabled(&mut self, enabled: bool) {
self.config.enabled = enabled;
if !enabled {
self.clear();
}
}
/// Get current entry count
pub fn len(&self) -> usize {
self.cache.read().len()
}
/// Check if cache is empty
pub fn is_empty(&self) -> bool {
self.cache.read().is_empty()
}
/// Mark a table as "hot" (recently written to).
/// Auto-resets the hot set every 60 seconds to prevent unbounded growth.
fn mark_table_hot(&self, table: &str) {
let should_reset = self.hot_tables_last_reset.read().elapsed() > Duration::from_secs(60);
if should_reset {
let mut hot_tables = self.hot_tables.write();
hot_tables.clear();
hot_tables.insert(table.to_string());
*self.hot_tables_last_reset.write() = Instant::now();
} else {
let mut hot_tables = self.hot_tables.write();
hot_tables.insert(table.to_string());
}
}
/// Get TTL for a table based on its hotness
fn get_ttl_for_table(&self, table: &str) -> Duration {
let hot_tables = self.hot_tables.read();
if hot_tables.contains(table) {
// Hot table - use shorter TTL
self.config.min_ttl
} else {
// Cold table - use default TTL
self.config.default_ttl
}
}
/// Clear hot table markers (call periodically)
pub fn reset_hot_tables(&self) {
let mut hot_tables = self.hot_tables.write();
hot_tables.clear();
}
}
impl Default for RowCache {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
#[allow(clippy::unwrap_used)]
mod tests {
use super::*;
use crate::Value;
fn make_tuple(id: i32, name: &str) -> Tuple {
Tuple::new(vec![Value::Int4(id), Value::String(name.to_string())])
}
#[test]
fn test_basic_cache_operations() {
let cache = RowCache::new();
// Insert a row
cache.put("users", 1, make_tuple(1, "Alice"));
// Get the row back
let result = cache.get("users", 1);
assert!(result.is_some());
let tuple = result.unwrap();
assert_eq!(tuple.values.len(), 2);
// Miss for non-existent row
assert!(cache.get("users", 999).is_none());
// Stats check
let stats = cache.stats();
assert_eq!(stats.inserts, 1);
assert_eq!(stats.hits, 1);
assert_eq!(stats.misses, 1);
}
#[test]
fn test_cache_invalidation() {
let cache = RowCache::new();
cache.put("users", 1, make_tuple(1, "Alice"));
cache.put("users", 2, make_tuple(2, "Bob"));
cache.put("orders", 1, make_tuple(100, "Order1"));
// Single row invalidation
cache.invalidate("users", 1);
assert!(cache.get("users", 1).is_none());
assert!(cache.get("users", 2).is_some());
// Table invalidation
cache.invalidate_table("users");
assert!(cache.get("users", 2).is_none());
assert!(cache.get("orders", 1).is_some());
}
#[test]
fn test_cache_ttl() {
let config = RowCacheConfig {
default_ttl: Duration::from_millis(50),
..Default::default()
};
let cache = RowCache::with_config(config);
cache.put("test", 1, make_tuple(1, "Test"));
assert!(cache.get("test", 1).is_some());
// Wait for TTL to expire
std::thread::sleep(Duration::from_millis(100));
// Should be expired now
assert!(cache.get("test", 1).is_none());
let stats = cache.stats();
assert_eq!(stats.expirations, 1);
}
#[test]
fn test_cache_capacity() {
let cache = RowCache::with_capacity(3);
cache.put("t", 1, make_tuple(1, "One"));
cache.put("t", 2, make_tuple(2, "Two"));
cache.put("t", 3, make_tuple(3, "Three"));
cache.put("t", 4, make_tuple(4, "Four")); // Should evict row 1
assert_eq!(cache.len(), 3);
let stats = cache.stats();
assert!(stats.evictions >= 1);
}
#[test]
fn test_hit_rate() {
let cache = RowCache::new();
cache.put("t", 1, make_tuple(1, "One"));
// 3 hits
cache.get("t", 1);
cache.get("t", 1);
cache.get("t", 1);
// 1 miss
cache.get("t", 999);
let stats = cache.stats();
assert_eq!(stats.hits, 3);
assert_eq!(stats.misses, 1);
assert!((stats.hit_rate() - 0.75).abs() < 0.01);
}
}