Crate do_memory_storage_redb 

Memory Storage - redb

redb embedded database for fast cache layer.

This crate provides:

• High-performance key-value storage using redb
• Zero-copy reads for fast retrieval
• Async wrappers for synchronous redb operations
• Episode and pattern caching
• Bincode serialization for efficient storage

Example

use do_memory_storage_redb::RedbStorage;
use std::path::Path;

let storage = RedbStorage::new(Path::new("./memory.redb")).await?;

Structs

AdaptiveCache

Adaptive LRU cache with intelligent TTL adjustment

AdaptiveCacheAdapter

Adapter that wraps AdaptiveCache for metadata-only caching.

AdaptiveCacheConfig

Configuration for adaptive TTL cache

AdaptiveCacheMetrics

Metrics specific to adaptive cache performance

CacheConfig

Configuration for the LRU cache

CacheMetrics

Cache performance metrics

CachePersistence

Cache persistence handler

CacheSnapshot

Complete cache snapshot

IncrementalUpdate

Incremental update record

LRUCache

LRU cache with TTL expiration

PersistedCacheEntry

A single persisted cache entry

PersistenceConfig

Configuration for cache persistence

PersistenceManager

Manager for automatic cache persistence

PersistenceStats

Persistence statistics

RedbQuery

Query options for episodes

RedbStorage

redb storage backend for fast caching

StorageStatistics

Storage statistics

Enums

PersistenceMode

Persistence mode

PersistenceStrategy

Persistence strategy

Constants

MAX_EMBEDDING_SIZE

Maximum size for embedding deserialization (1MB).

MAX_EPISODE_SIZE

Maximum size for episode deserialization (10MB).

MAX_HEURISTIC_SIZE

Maximum size for heuristic deserialization (100KB).

MAX_PATTERN_SIZE

Maximum size for pattern deserialization (1MB).

Traits

Cache

Common cache trait for metadata tracking