shardmap 0.2.0

Sharded embedded in-memory map with optional cache, protocol, and server internals
Documentation
shardmap-0.2.0 has been yanked.

shardmap

shardmap is the embedded Rust map/cache crate for shard-kv. It gives applications a cloneable, sharded in-process handle with byte-oriented keys and values, TTL support, memory-limit eviction, lock helpers, prepared-key lookups, and native semantic-cache APIs.

Use shardmap when you want an embedded Rust cache. Use the repository's shardcache server package when you need a TCP service.

Install

[dependencies]
shardmap = "0.2.0"

Quick Start

use shardmap::ShardMap;

let cache = ShardMap::new();

cache.insert_slice(b"user:42", b"ready");
let value = cache.get_owned(b"user:42").unwrap();

assert_eq!(value.as_ref(), b"ready");

ShardMap is a cheap cloneable handle. Clones share the same underlying sharded store and can be moved into worker threads.

Feature Overview

Area What it gives you Example
Point-key map Insert, get, mutate, remove, and entry-style access for byte keys. basic_map.rs
TTL cache Relative TTL writes and memory-limit eviction. ttl_and_locks.rs
Prepared keys Route metadata for repeated hot-key lookups. prepared_keys_threads.rs
Entry API Occupied/vacant mutation without a separate lookup. entry_api.rs
Route inspection See which shard owns a key before sending work to a worker. route_inspection.rs
Lock helpers Process-local token locks built on SET key token NX PX ttl semantics. ttl_and_locks.rs
Configuration Capacity hints, memory budgets, eviction policy, routing, and lock policy. configured_cache.rs
Redis-compatible embedded API Execute supported Redis commands directly in-process, including prepared commands and session state. Enable the redis feature
Semantic cache Store embeddings with cached values and search by cosine similarity. semantic_cache.rs
Semantic TTL Combine semantic reuse with freshness windows. semantic_ttl.rs
Governance metadata Attach application-owned authorization context to semantic hits. semantic_cache.rs
Mini app A small feature-flag cache combining TTL, prepared keys, and locks. mini_feature_flags.rs

Run any example with:

cargo run -p shardmap --example basic_map

Point-Key Map Operations

Use the default ShardMap for a 64-stripe shared embedded map, or ShardMapWithShards<N> when you want to choose the stripe count at compile time.

use shardmap::ShardMap;

let cache = ShardMap::with_capacity(1024);

cache.insert_slice(b"job:1", b"queued");
assert!(cache.contains_key(b"job:1"));

if let Some(mut value) = cache.get_mut(b"job:1") {
    value.set_slice(b"running");
}

assert_eq!(cache.remove(b"job:1").unwrap().as_ref(), b"running");
assert!(!cache.contains_key(b"job:1"));

Use get_owned when you want refcounted bytes after the shard read lock has been released. Use get/get_ref when a short borrowed guard is enough.

TTL, Eviction, And Cache Configuration

TTL values are relative milliseconds. A None TTL means the value does not expire because of time.

use shardmap::ShardMap;

let cache = ShardMap::new();
cache.insert_slice_with_ttl(b"session:1", b"active", Some(30_000));

assert!(cache.contains_key(b"session:1"));

CacheOptions configures the shared-handle cache. Memory limits are enforced inside each stripe, using the selected eviction policy.

use shardmap::{CacheOptions, ShardMap};
use shardmap::config::EvictionPolicy;

let cache = ShardMap::with_options(CacheOptions {
    capacity_hint: Some(32_768),
    total_memory_bytes: Some(256 * 1024 * 1024),
    eviction_policy: EvictionPolicy::Lru,
    ..CacheOptions::default()
});

assert_eq!(cache.shard_count(), 64);

EvictionPolicy::Lru and EvictionPolicy::Lfu are available in the default crate. EvictionPolicy::Prefix is available with the prefix-eviction feature for prefix-group cache workloads.

Prepared Keys And Concurrency

For repeated hot lookups, prepare the key once and reuse the route metadata.

use shardmap::ShardMap;

let cache = ShardMap::new();
cache.insert_slice(b"feature:alpha", b"enabled");

let prepared = cache.prepare_key(b"feature:alpha");
let value = cache.get_prepared_owned(&prepared).unwrap();

assert_eq!(value.as_ref(), b"enabled");

Cloned handles share the same storage, so applications can move a clone into each worker thread and keep using normal map operations.

Entry API And Routing

Use entry when the update naturally depends on whether the key is already present.

use bytes::Bytes;
use shardmap::ShardMap;

let cache = ShardMap::new();
let value = cache.entry(Bytes::from_static(b"job:42"))
    .or_insert(Bytes::from_static(b"queued"));

assert_eq!(value.value().unwrap(), b"queued");

Use route_key when your application already partitions work by shard and wants to send a key to its owning worker.

use shardmap::ShardMapWithShards;

let cache = ShardMapWithShards::<8>::new();
let route = cache.route_key(b"user:42");

assert!(route.shard_id < cache.shard_count());

Lock Helpers

The lock helpers are useful for process-local coordination in embedded mode. They acquire only when the key is absent or expired, release only when the stored token matches, and renew by extending the TTL for the matching token.

use shardmap::ShardMap;

let cache = ShardMap::new();

assert!(cache
    .try_acquire_lock(b"lock:job:1", b"worker-a", 5_000)
    .expect("lock acquisition should be valid"));
assert!(!cache
    .try_acquire_lock(b"lock:job:1", b"worker-b", 5_000)
    .expect("second lock acquisition should be valid"));
assert!(cache
    .renew_lock(b"lock:job:1", b"worker-a", 5_000)
    .expect("lock renewal should be valid"));
assert!(cache.release_lock(b"lock:job:1", b"worker-a"));

Use the server surface when multiple processes or machines need to coordinate through one lock table.

Redis-Compatible Embedded API

Enable the redis feature when you want to call shardcache's supported Redis command surface without opening a socket. The embedded Redis API uses the same command implementations as the server path and supports prepared commands for hot loops.

use shardmap::redis_embedded::EmbeddedRedis;
use shardmap::protocol::Frame;

let redis = EmbeddedRedis::new(4);

assert_eq!(
    redis.execute(&[b"SET".as_slice(), b"user:42", b"ready"]),
    Frame::SimpleString("OK".into())
);

let get = redis.prepare(&[b"GET".as_slice(), b"user:42"]).unwrap();
assert_eq!(
    redis.execute_prepared(&get),
    Frame::BlobString(b"ready".to_vec())
);

Use a session when a caller needs per-client Redis state such as transaction queuing.

use shardmap::redis_embedded::EmbeddedRedis;
use shardmap::protocol::Frame;

let redis = EmbeddedRedis::new(4);
let mut session = redis.session();

assert_eq!(
    session.execute(&[b"MULTI".as_slice()]),
    Frame::SimpleString("OK".into())
);
assert_eq!(
    session.execute(&[b"SET".as_slice(), b"user:42", b"queued"]),
    Frame::SimpleString("QUEUED".into())
);
assert!(matches!(session.execute(&[b"EXEC".as_slice()]), Frame::Array(_)));

Exposing Embedded Storage

Enable redis-server when an embedded process also needs to expose its live store to third-party services over RESP/SCNP. ShardCacheServer can serve a caller-owned ShardedEngine, so in-process code and remote clients observe the same data.

use std::sync::Arc;

use shardmap::config::ShardCacheConfig;
use shardmap::embedded::{ShardCacheServer, ShardedEngine};

let store = Arc::new(ShardedEngine::new(4));
store.set(b"local-key".to_vec(), b"local-value".to_vec(), None);

let mut config = ShardCacheConfig::default();
config.bind_addr = "127.0.0.1:6380".into();
config.persistence.enabled = false;

ShardCacheServer::from_embedded_store(config, store.clone())
    .run()
    .await?;
# Ok::<(), shardmap::ShardCacheError>(())

When serving a caller-owned store, the store's shard count and routing mode are authoritative. The server config still controls the bind address, connection limit, transaction mode, and worker count, but it does not create replacement storage or apply persistence to the embedded handle. Apply memory limits with ShardedEngine::configure_memory_policy before handing the store to the server. Multi-direct embedded serving is TCP-only today; Unix sockets still use the engine-backed path.

Embedded server deployments expose two endpoint shapes:

  • ServerEndpointMode::Fanout (default) binds one public listener. The listener parses each complete RESP/SCNP request, routes single-shard commands to the worker that owns the shard, and rejects cross-shard public commands instead of letting an arbitrary server thread lock across shards.
  • ServerEndpointMode::DirectShard exposes shard-owned direct ports in addition to the fanout listener. Use this for shard-aware SCNP clients that can route directly to the owning shard.
use shardmap::config::ServerEndpointMode;

config.server_endpoint_mode = ServerEndpointMode::DirectShard;

If your embedded application is already using the owner-local hot path, serve the LocalEmbeddedStore installed on that owner thread instead of wrapping a shared Arc<ShardedEngine>. This keeps embedded calls and third-party protocol requests on the same shard-owned memory and avoids introducing shared EmbeddedStore locks into the hot path.

use shardmap::config::ShardCacheConfig;
use shardmap::embedded::{ShardCacheServer, ShardedEngine};

let store = ShardedEngine::new(1);
store.set(b"local-key".to_vec(), b"local-value".to_vec(), None);
let local_store = store.into_local_stores(1).into_iter().next().unwrap();
local_store.install_local()?;

let mut config = ShardCacheConfig::default();
config.bind_addr = "127.0.0.1:6380".into();
config.persistence.enabled = false;

ShardCacheServer::from_thread_local_embedded_store(config)
    .run_thread_local_with_shutdown(async {
        // Signal shutdown from your owner-thread runtime.
    })
    .await?;
# Ok::<(), shardmap::ShardCacheError>(())

The thread-local server future is intentionally !Send: run it on the same current-thread runtime or LocalSet that owns the local embedded store. The server leaves the local store installed when it stops so the embedding process can continue using or reclaim it.

The thread-local server is still a fanout endpoint shape; the difference is storage ownership. It serves the local store already installed on the owner thread instead of introducing a shared Arc<ShardedEngine> handle.

For read replicas or service subscribers, wrap the embedded source in ReplicatedEmbeddedStore and start its native replication listener.

use std::sync::Arc;

use shardmap::config::{ReplicationConfig, ReplicationRole};
use shardmap::embedded::{ReplicatedEmbeddedStore, ReplicationReplicaClient};

let mut primary_config = ReplicationConfig {
    enabled: true,
    role: ReplicationRole::Primary,
    bind_addr: "127.0.0.1:7631".into(),
    ..ReplicationConfig::default()
};

let primary = Arc::new(ReplicatedEmbeddedStore::new(4, primary_config.clone())?);
let _listener = primary.serve_replicas(primary_config)?;

let replica = ReplicationReplicaClient::start(ReplicationConfig {
    enabled: true,
    role: ReplicationRole::Replica,
    replica_of: Some("127.0.0.1:7631".into()),
    ..ReplicationConfig::default()
})?;
# Ok::<(), shardmap::ShardCacheError>(())

Native replication v1 streams byte-string cache mutations and consistent snapshots. It is intended for read replicas, sidecar cache mirrors, and service subscribers that consume shardcache's FCRP frames; Redis object-family replication is outside this embedded replication surface.

Semantic Cache

Semantic cache entries attach a normalized embedding to the same point-key value. Lookups search live semantic entries and return the best match at or above the requested score.

use shardmap::ShardMap;

let cache = ShardMap::new();
cache.insert_semantic_slice(b"prompt:cat", b"cached cat answer", &[1.0, 0.0])?;
cache.insert_semantic_slice(b"prompt:dog", b"cached dog answer", &[0.0, 1.0])?;

let matched = cache.semantic_search(&[0.9, 0.1], 0.75)?.unwrap();

assert_eq!(matched.key.as_slice(), b"prompt:cat");
assert_eq!(matched.value.as_ref(), b"cached cat answer");
# Ok::<(), shardmap::SemanticCacheError>(())

Plain writes to a key clear its semantic embedding, so semantic hits cannot return a value whose embedding describes an older payload. Repeated exact semantic queries use an internal query-result cache; call disable_semantic_query_cache when benchmarking the cold vector path.

Governance Metadata

Cross-user semantic cache entries can carry opaque governance metadata. Entries written through the default semantic APIs return None; applications that need cross-user authorization can opt into the governance API layer and pass a predicate that must approve the metadata before the cached value is released.

use shardmap::ShardMap;

let cache = ShardMap::new();
cache.insert_semantic_slice_with_governance(
    b"prompt:cat",
    b"cached cat answer",
    &[1.0, 0.0],
    b"tenant=acme;doc=cat-faq;policy=v1",
)?;

let matched = cache
    .semantic_search_with_governance_filter(&[1.0, 0.0], 0.75, |metadata| {
        metadata == Some(b"tenant=acme;doc=cat-faq;policy=v1".as_slice())
    })?
    .unwrap();

assert_eq!(matched.value.as_ref(), b"cached cat answer");
assert_eq!(
    matched.governance.as_deref(),
    Some(b"tenant=acme;doc=cat-faq;policy=v1".as_slice())
);
# Ok::<(), shardmap::SemanticCacheError>(())

The intended data model is:

Field Example Purpose
key semantic:tenant/acme/faq/refund-policy Stable cache identity for the answer.
value cached response bytes The answer that may be reused.
embedding normalized prompt embedding Semantic lookup vector.
governance {tenant, policy_version, allowed_groups, source_docs} Opaque authorization context owned by the application.
ttl Some(300_000) Optional freshness bound for the cached answer.

The cache does not parse governance bytes. Callers can encode tenant, group, source document, policy version, retention tier, region, or audit context in whatever format they already use, then decide whether a semantically close candidate may release its cached value.

Optional Server, Protocol, And Persistence Internals

The crate also contains the storage internals used by the shardcache server: command parsing, RESP/SCNP protocol code, persistence, replication, and server transport modules. Those surfaces are feature-gated so embedded users do not compile server code by default.

Most applications should start with ShardMap. Use lower-level modules only when you are building a custom server, embedding the protocol layer, or wiring storage into a specialized runtime.

API Shape

  • ShardMap: default embedded map/cache handle.
  • ShardCache: cache-flavored alias for ShardMap.
  • ShardMapWithShards<N>: embedded handle with an explicit stripe count.
  • CacheOptions: embedded capacity, memory, routing, and lock options.
  • get_owned and get_prepared_owned: return refcounted bytes after releasing the shard read lock.
  • entry, get_mut, try_insert_slice, and lock helpers: DashMap-style mutation and coordination APIs.
  • insert_semantic_slice and semantic_search: native semantic-cache APIs.
  • semantic_search_with_governance_filter: semantic cache lookup with request-specific authorization.

Features

Feature Default Purpose
sharded Yes Embedded sharded map/cache API.
redis No Redis/Valkey object and command behavior for shared internals.
redis-functions Via redis-server Redis 7 FUNCTION/FCALL compatibility stubs with an empty function registry.
redis-modules Via redis-server Redis MODULE compatibility stubs with an empty module registry and disabled loading.
redis-modules-all No Aggregate Redis Modules compatibility facades, concrete command discovery metadata, and embedded APIs; individual redis-module-* flags can enable one module family at a time.
server No TCP server internals used by the shardcache package.
redis-server No Server internals plus Redis/Valkey compatibility.
telemetry No Embedded operational metrics.
monoio No Linux-only server transport internals.
prefix-eviction No Enables EvictionPolicy::Prefix for prefix-group memory-limit eviction.

License

Licensed under Apache-2.0.