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https://github.com/houseme/starshard

A blazing-fast sharded concurrent HashMap using hashbrown and RwLock, with lazy shards, atomic length cache, and async support.
https://github.com/houseme/starshard

async atomic concurrency hashbrown hashmap rust rust-lang rwlock

Last synced: 8 months ago
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A blazing-fast sharded concurrent HashMap using hashbrown and RwLock, with lazy shards, atomic length cache, and async support.

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# Starshard

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English | [简体中文](README_CN.md)

Starshard: a high-performance, lazily sharded concurrent HashMap for Rust.

Sync + Async + Optional Rayon + Optional Serde

---

## Status

Early stage. API may still evolve (semantic stability prioritized; minor naming changes possible).

## Motivation

You often need a fast concurrent map:

- Standard single `RwLock>` becomes contended under mixed read/write load.
- Fully lock-free or CHM designs can add memory + complexity cost.
- Sharding with lazy initialization offers a pragmatic middle ground.

Starshard focuses on:

1. Minimal uncontended overhead.
2. Lazy shard allocation (memory proportional to actually touched shards).
3. Atomic cached length.
4. Snapshot iteration (parallel if `rayon`).
5. Symmetric sync / async APIs.
6. Extensible design (future: rebalancing, eviction, metrics).

---

## Features

| Feature | Description | Notes |
|---------|------------------------------------------------------|--------------------------------|
| `async` | Adds `AsyncShardedHashMap` (Tokio `RwLock`) | Independent of `rayon` |
| `rayon` | Parallel snapshot flatten for large iteration | Used internally; API unchanged |
| `serde` | Serialize/Deserialize (sync) + async snapshot helper | Hasher not persisted |
| (none) | Pure sync core | Lowest dependency surface |

Enable all in docs.rs via:

```toml
[package.metadata.docs.rs]
all-features = true
```

---

## Installation

```toml
[dependencies]
starshard = { version = "0.5", features = ["async", "rayon", "serde"] }
# or minimal:
# starshard = "0.5"
```

`serde_json` (tests / examples):

```toml
[dev-dependencies]
serde_json = "1"
```

---

## Quick Start (Sync)

```rust
use starshard::ShardedHashMap;
use rustc_hash::FxBuildHasher;

let map: ShardedHashMap = ShardedHashMap::new(64);
map.insert("a".into(), 1);
assert_eq!(map.get(&"a".into()), Some(1));
assert_eq!(map.len(), 1);
```

### Custom Hasher (defense against adversarial keys)

```rust
use starshard::ShardedHashMap;
use std::collections::hash_map::RandomState;

let secure = ShardedHashMap::
::with_shards_and_hasher(128, RandomState::default ());
secure.insert("k".into(), 7);
```

---

## Async Usage

```rust
#[cfg(feature = "async")]
#[tokio::main]
async fn main() {
use starshard::AsyncShardedHashMap;
let m: AsyncShardedHashMap = AsyncShardedHashMap::new(64);
m.insert("x".into(), 42).await;
assert_eq!(m.get(&"x".into()).await, Some(42));
}
```

---

## Parallel Iteration (`rayon`)

```rust
#[cfg(feature = "rayon")]
{
use starshard::ShardedHashMap;
let m: ShardedHashMap = ShardedHashMap::new(32);
for i in 0..50_000 {
m.insert(format ! ("k{i}"), i);
}
let count = m.iter().count(); // internal parallel flatten
assert_eq!(count, 50_000);
}
```

---

## Serde Semantics

Sync:

- Serialized shape: `{ "shard_count": usize, "entries": [[K,V], ...] }`.
- Hasher internal state not preserved; recreated with `S::default()`.
- Requirements: `K: Eq + Hash + Clone + Serialize + Deserialize`, `V: Clone + Serialize + Deserialize`,
`S: BuildHasher + Default + Clone`.

Async:

- No direct `Serialize`; call:

```rust
#[cfg(all(feature = "async", feature = "serde"))]
{
let snap = async_map.async_snapshot_serializable().await;
let json = serde_json::to_string( & snap).unwrap();
}
```

- To reconstruct: create a new async map and bulk insert.

---

## Consistency Model

- Per-shard ops are linearizable w.r.t that shard.
- Global iteration builds a per-shard snapshot as each shard lock is taken (not a fully atomic global view).
- `len()` is maintained atomically (structural insert/remove only).
- Iteration after concurrent writes may omit late inserts performed after a shard snapshot was captured.

---

## Performance Notes (Indicative)

| Scenario | Observation (relative) |
|-------------------------------------------------------|------------------------------|
| Read-heavy mixed workload vs global `RwLock` | Reduced contention |
| Large snapshot iteration with `rayon` (100k+) | 3-4x speedup flattening |
| Sparse shard usage | Only touched shards allocate |

Do benchmark with your own key/value distribution and CPU topology.

---

## Safety / Concurrency

- No nested multi-shard lock ordering -> avoids deadlocks.
- Each shard single `RwLock`; iteration snapshots avoid long-lived global blocking.
- Cloning values required (trade memory for contention isolation).
- Not lock-free: intense write focus on one shard can still serialize.

---

## Limitations

- No dynamic shard rebalancing.
- No eviction / TTL.
- Snapshot iteration allocates intermediate vectors.
- Hasher state not serialized.
- No lock-free progress guarantees.

---

## Roadmap (Potential)

- Optional adaptive shard expansion / rebalancing.
- Per-shard eviction strategies (LRU / segmented).
- Metrics hooks (pre/post op instrumentation).
- Batched multi-insert API.
- Zero-copy or COW snapshot mode.

---

## Design Sketch

```
Arc -> RwLock>>>>> + AtomicUsize(len)
```

Lazy fill of inner `Option` slot when first key hashes into shard.

---

## Examples Summary

| Goal | Snippet |
|-----------------------|---------------------------------|
| Basic sync | see Quick Start |
| Async insert/get | see Async Usage |
| Parallel iterate | enable `rayon` |
| Serde snapshot (sync) | `serde_json::to_string(&map)` |
| Async serde snapshot | `async_snapshot_serializable()` |
| Custom hasher | `with_shards_and_hasher(..)` |

---

## License

Dual license: [MIT](LICENSE-MIT) OR [Apache-2.0](LICENSE-APACHE) (choose either).

---

## Contribution

PRs welcome: focus on correctness (tests), simplicity, and documentation clarity.
Run:

```bash
cargo clippy --all-features -- -D warnings
cargo test --all-features
```

---

## Minimal Example (All Features)

```rust
use starshard::{ShardedHashMap, AsyncShardedHashMap};
#[cfg(feature = "async")]
#[tokio::main]
async fn main() {
let sync_map: ShardedHashMap = ShardedHashMap::new(32);
sync_map.insert(1, 10);

#[cfg(feature = "serde")]
{
let json = serde_json::to_string(&sync_map).unwrap();
let _de: ShardedHashMap = serde_json::from_str(&json).unwrap();
}

let async_map: AsyncShardedHashMap = AsyncShardedHashMap::new(32);
async_map.insert(2, 20).await;
}
```

---

## Disclaimer

Benchmarks and behavior notes are indicative only; validate under production load patterns.