mirror of
https://github.com/oven-sh/bun
synced 2026-02-09 10:28:47 +00:00
add getOrSetItem and takeItem methods to processStorage
New methods provide common atomic operations: - getOrSetItem(key, defaultValue): Get existing value or set and return default - Thread-safe get-or-insert pattern - Useful for lazy initialization and caching - takeItem(key): Get value and remove atomically, return null if not found - Thread-safe consume pattern - Useful for work queues and one-time operations Both methods maintain thread safety with proper locking and isolated string copies. Comprehensive test coverage added for all edge cases. Removed vision document as requested. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Claude Bot
@@ -23,6 +23,7 @@ src/bun.js/bindings/BunJSCEventLoop.cpp
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src/bun.js/bindings/BunObject.cpp
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src/bun.js/bindings/BunPlugin.cpp
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src/bun.js/bindings/BunProcess.cpp
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src/bun.js/bindings/BunProcessStorage.cpp
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src/bun.js/bindings/BunString.cpp
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src/bun.js/bindings/BunWorkerGlobalScope.cpp
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src/bun.js/bindings/c-bindings.cpp
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577
proposal.md
577
proposal.md
@@ -1,577 +0,0 @@
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# Proposal: Structured Shared State for JavaScript Concurrency
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## Abstract
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This proposal introduces a new concurrency model for JavaScript that provides type-safe, transactional shared state management across workers and realms. Built on WebKit's existing infrastructure, it enables high-performance parallel computing while maintaining JavaScript's ease of use and safety guarantees.
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## Problem Statement
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### Current JavaScript Concurrency Limitations
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JavaScript's current concurrency model has significant gaps:
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1. **Limited Shared State**: Only SharedArrayBuffer for low-level byte arrays
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2. **Serialization Overhead**: postMessage requires expensive cloning for complex objects
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3. **Manual Coordination**: Developers must implement their own synchronization primitives
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4. **Type Unsafe**: No compile-time guarantees about shared data structures
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5. **Race Conditions**: Easy to introduce bugs with manual locking
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### Real-World Pain Points
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```javascript
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// Current approach: Error-prone and inefficient
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// 1. Pass large config to every worker (memory waste)
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workers.forEach(worker => {
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worker.postMessage({ config: largeConfigObject }); // Serialized N times
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});
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// 2. Manual coordination with SharedArrayBuffer (complex)
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const sharedBuffer = new SharedArrayBuffer(1024);
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const view = new Int32Array(sharedBuffer);
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// Manual lock implementation, easy to deadlock
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while (Atomics.compareExchange(view, 0, 0, 1) !== 0) {
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// Spin wait - inefficient
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}
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// 3. No structured data sharing
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// Can't share Maps, Sets, or custom objects safely
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```
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## Proposed Solution: Structured Shared State
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### Core Principles
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1. **Type Safety**: Full TypeScript support with compile-time guarantees
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2. **Structured Data**: Share Maps, Arrays, Objects, not just bytes
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3. **Transactional**: Software Transactional Memory prevents race conditions
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4. **Reactive**: Built-in change notifications across workers
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5. **Zero-Copy**: Efficient sharing without serialization overhead
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6. **Familiar**: JavaScript-native APIs that compose naturally
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### High-Level API Overview
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```typescript
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// Shared collections with full type safety
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const users = new Bun.SharedMap<UserId, User>();
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const tasks = new Bun.SharedQueue<Task>();
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const metrics = new Bun.SharedRecord<MetricsData>();
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// Transactional updates prevent race conditions
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await Bun.transaction(() => {
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const user = users.get(userId);
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user.score += points;
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users.set(userId, user);
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tasks.push(new Notification(user.id));
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});
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// Reactive subscriptions across workers
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for await (const change of users.watch(userId)) {
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updateUI(change.newValue);
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}
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// Structured concurrency
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const pool = new Bun.WorkerPool("./worker.js", { size: 4 });
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const results = await pool.map(items, processItem);
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```
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## Detailed API Design
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### 1. Shared Collections
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#### SharedMap<K, V>
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```typescript
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class SharedMap<K, V> {
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// Basic operations
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set(key: K, value: V): void;
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get(key: K): V | undefined;
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has(key: K): boolean;
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delete(key: K): boolean;
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clear(): void;
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// Iteration
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keys(): IterableIterator<K>;
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values(): IterableIterator<V>;
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entries(): IterableIterator<[K, V]>;
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// Reactive operations
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watch(key: K): AsyncIterableIterator<ChangeEvent<V>>;
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watchAll(): AsyncIterableIterator<MapChangeEvent<K, V>>;
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// Batch operations
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setMany(entries: Iterable<[K, V]>): void;
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getMany(keys: Iterable<K>): Map<K, V>;
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// Metadata
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readonly size: number;
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readonly memory: number; // Memory usage in bytes
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}
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interface ChangeEvent<V> {
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type: 'set' | 'delete';
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oldValue?: V;
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newValue?: V;
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timestamp: number;
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}
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```
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#### SharedArray<T>
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```typescript
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class SharedArray<T> {
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// Array-like interface
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get length(): number;
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get(index: number): T | undefined;
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set(index: number, value: T): void;
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push(...items: T[]): number;
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pop(): T | undefined;
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// Batch operations
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slice(start?: number, end?: number): T[];
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splice(start: number, deleteCount?: number, ...items: T[]): T[];
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// Iteration
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[Symbol.iterator](): IterableIterator<T>;
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entries(): IterableIterator<[number, T]>;
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// Reactive
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watch(): AsyncIterableIterator<ArrayChangeEvent<T>>;
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watchIndex(index: number): AsyncIterableIterator<ChangeEvent<T>>;
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}
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```
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#### SharedQueue<T>
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```typescript
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class SharedQueue<T> {
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enqueue(item: T): void;
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dequeue(): Promise<T>; // Waits if empty
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tryDequeue(): T | undefined; // Non-blocking
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peek(): T | undefined;
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clear(): void;
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readonly size: number;
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readonly isEmpty: boolean;
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// Batch operations
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enqueueMany(items: T[]): void;
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dequeueMany(count: number): Promise<T[]>;
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// Async iteration
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[Symbol.asyncIterator](): AsyncIterableIterator<T>;
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}
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```
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#### SharedRecord<T>
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```typescript
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class SharedRecord<T extends Record<string, any>> {
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get<K extends keyof T>(key: K): T[K] | undefined;
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set<K extends keyof T>(key: K, value: T[K]): void;
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// Reactive updates
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watch<K extends keyof T>(key: K): AsyncIterableIterator<ChangeEvent<T[K]>>;
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watchAll(): AsyncIterableIterator<RecordChangeEvent<T>>;
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// Batch operations
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update(partial: Partial<T>): void;
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assign(object: Partial<T>): void;
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// Conversion
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toObject(): T;
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keys(): (keyof T)[];
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values(): T[keyof T][];
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}
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```
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### 2. Transactions
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```typescript
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namespace Bun {
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// Software Transactional Memory
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function transaction<T>(fn: () => T | Promise<T>): Promise<T>;
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// Optimistic locking with retry
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function transaction<T>(
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fn: () => T | Promise<T>,
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options: {
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maxRetries?: number;
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backoff?: 'linear' | 'exponential';
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timeout?: number;
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}
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): Promise<T>;
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// Read-only transactions (optimized)
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function readTransaction<T>(fn: () => T | Promise<T>): Promise<T>;
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// Manual conflict detection
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function isInTransaction(): boolean;
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function getTransactionId(): string | null;
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}
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```
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### 3. Worker Pool Management
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```typescript
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class WorkerPool {
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constructor(
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scriptPath: string,
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options: {
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size?: number;
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maxTasks?: number;
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idleTimeout?: number;
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}
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);
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// Parallel execution
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map<T, R>(items: T[], fn: (item: T) => R | Promise<R>): Promise<R[]>;
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// Task scheduling
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execute<T>(fn: () => T | Promise<T>): Promise<T>;
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// Resource management
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resize(newSize: number): Promise<void>;
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drain(): Promise<void>;
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terminate(): Promise<void>;
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// Monitoring
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readonly activeWorkers: number;
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readonly queuedTasks: number;
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readonly completedTasks: number;
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}
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```
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### 4. Structured Concurrency
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```typescript
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namespace Bun {
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// All-or-nothing parallel execution
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function concurrent<T>(tasks: (() => T | Promise<T>)[]): Promise<T[]>;
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// Race with cancellation
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function race<T>(tasks: (() => T | Promise<T>)[]): Promise<T>;
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// Timeout with cleanup
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function timeout<T>(
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fn: () => T | Promise<T>,
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ms: number
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): Promise<T>;
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// Pipeline processing
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function pipeline<T, R>(
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input: AsyncIterable<T>,
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stages: PipelineStage<any, any>[],
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options?: { parallelism?: number }
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): AsyncIterable<R>;
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}
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```
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## Technical Implementation
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### Building on WebKit Infrastructure
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The implementation leverages WebKit's existing thread-safe primitives:
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```cpp
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// Core shared data structure
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template<typename K, typename V>
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class SharedMap : public ThreadSafeRefCounted<SharedMap<K, V>> {
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private:
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mutable Lock m_lock;
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WTF_GUARDED_BY_LOCK(m_lock) HashMap<K, RefPtr<SerializedScriptValue>> m_data;
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WTF_GUARDED_BY_LOCK(m_lock) Vector<WeakPtr<ChangeObserver>> m_observers;
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public:
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void set(const K& key, RefPtr<SerializedScriptValue> value);
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RefPtr<SerializedScriptValue> get(const K& key) const;
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void notifyObservers(const K& key, ChangeType type);
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};
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// Transaction implementation using versioned data
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class TransactionManager {
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private:
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thread_local TransactionContext* s_currentTransaction;
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AtomicCounter m_globalVersion;
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public:
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template<typename T>
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T executeTransaction(Function<T()>&& fn);
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bool validateAndCommit(TransactionContext&);
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void rollback(TransactionContext&);
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};
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```
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### Memory Management
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```cpp
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// Efficient structured cloning
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class SharedValue {
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RefPtr<SerializedScriptValue> m_serialized;
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mutable std::optional<JSValue> m_cachedValue;
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public:
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// Zero-copy read access when possible
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JSValue toJSValue(JSGlobalObject*) const;
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// Efficient updates using copy-on-write
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static Ref<SharedValue> create(JSGlobalObject*, JSValue);
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};
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```
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### Change Notification System
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```cpp
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// Observer pattern for reactive updates
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class ChangeObserver : public CanMakeWeakPtr<ChangeObserver> {
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public:
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virtual void notifyChange(const ChangeEvent&) = 0;
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virtual bool isInSameThread() const = 0;
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};
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// Cross-thread notification queue
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class NotificationQueue {
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ThreadSafeQueue<ChangeEvent> m_queue;
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public:
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void enqueue(ChangeEvent);
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std::optional<ChangeEvent> dequeue();
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void notifyWaiters();
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};
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```
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## Usage Examples
|
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### Example 1: Real-time Game Server
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|
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```typescript
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// Shared game state across worker threads
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const players = new Bun.SharedMap<PlayerId, Player>();
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const gameEvents = new Bun.SharedQueue<GameEvent>();
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const gameConfig = new Bun.SharedRecord<GameConfig>();
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// Worker 1: Handle player connections
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async function handlePlayerJoin(playerId: PlayerId, playerData: Player) {
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await Bun.transaction(() => {
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players.set(playerId, playerData);
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gameEvents.enqueue({
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type: 'player_joined',
|
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playerId,
|
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timestamp: Date.now()
|
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});
|
||||
});
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}
|
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|
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// Worker 2: Game logic
|
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for await (const event of gameEvents) {
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switch (event.type) {
|
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case 'player_moved':
|
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await Bun.transaction(() => {
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const player = players.get(event.playerId);
|
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if (player) {
|
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player.position = event.newPosition;
|
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players.set(event.playerId, player);
|
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}
|
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});
|
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break;
|
||||
}
|
||||
}
|
||||
|
||||
// Worker 3: Broadcasting updates
|
||||
for await (const change of players.watchAll()) {
|
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broadcastToClients({
|
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type: 'state_update',
|
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playerId: change.key,
|
||||
player: change.newValue
|
||||
});
|
||||
}
|
||||
```
|
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|
||||
### Example 2: Data Processing Pipeline
|
||||
|
||||
```typescript
|
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// Shared cache for expensive computations
|
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const computationCache = new Bun.SharedMap<string, ProcessedData>();
|
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const workQueue = new Bun.SharedQueue<RawData>();
|
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|
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// Producer: Add work items
|
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async function addWork(data: RawData[]) {
|
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workQueue.enqueueMany(data);
|
||||
}
|
||||
|
||||
// Worker pool: Process items with caching
|
||||
const pool = new Bun.WorkerPool('./processor.js', { size: 8 });
|
||||
|
||||
async function processItem(item: RawData): Promise<ProcessedData> {
|
||||
const cacheKey = hashItem(item);
|
||||
|
||||
// Check cache first
|
||||
const cached = computationCache.get(cacheKey);
|
||||
if (cached) return cached;
|
||||
|
||||
// Expensive computation
|
||||
const result = await expensiveProcess(item);
|
||||
|
||||
// Cache result for other workers
|
||||
await Bun.transaction(() => {
|
||||
computationCache.set(cacheKey, result);
|
||||
});
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
// Process all items in parallel
|
||||
const results = await pool.map(workItems, processItem);
|
||||
```
|
||||
|
||||
### Example 3: Configuration Management
|
||||
|
||||
```typescript
|
||||
// Shared application configuration
|
||||
const appConfig = new Bun.SharedRecord<AppConfig>();
|
||||
const featureFlags = new Bun.SharedMap<string, boolean>();
|
||||
|
||||
// Main thread: Update configuration
|
||||
async function updateConfig(newConfig: Partial<AppConfig>) {
|
||||
await Bun.transaction(() => {
|
||||
appConfig.update(newConfig);
|
||||
});
|
||||
|
||||
console.log('Configuration updated across all workers');
|
||||
}
|
||||
|
||||
// Workers: React to configuration changes
|
||||
for await (const change of appConfig.watch('apiEndpoint')) {
|
||||
// Automatically reconfigure HTTP client
|
||||
httpClient.setBaseURL(change.newValue);
|
||||
}
|
||||
|
||||
// Feature flag updates
|
||||
for await (const change of featureFlags.watchAll()) {
|
||||
console.log(`Feature ${change.key} is now ${change.newValue ? 'enabled' : 'disabled'}`);
|
||||
}
|
||||
```
|
||||
|
||||
## Performance Characteristics
|
||||
|
||||
### Memory Efficiency
|
||||
- **Zero-copy reads**: Multiple workers access same memory
|
||||
- **Copy-on-write updates**: Efficient handling of large objects
|
||||
- **Structured cloning**: Only when crossing thread boundaries
|
||||
- **Automatic cleanup**: Garbage collection handles shared objects
|
||||
|
||||
### Concurrency Performance
|
||||
- **Lock-free reads**: Read transactions don't block
|
||||
- **Optimistic updates**: Conflicts resolved automatically
|
||||
- **Batched notifications**: Efficient observer updates
|
||||
- **Work stealing**: Worker pools balance load automatically
|
||||
|
||||
### Scalability
|
||||
- **Horizontal scaling**: Add workers as needed
|
||||
- **Memory bounded**: Configurable limits prevent runaway growth
|
||||
- **Backpressure**: Queues handle flow control
|
||||
- **Monitoring**: Built-in metrics for optimization
|
||||
|
||||
## Migration Path
|
||||
|
||||
### From Current postMessage Patterns
|
||||
|
||||
```typescript
|
||||
// Before: Manual message passing
|
||||
worker.postMessage({ type: 'config', data: config });
|
||||
worker.onmessage = (e) => {
|
||||
if (e.data.type === 'config_updated') {
|
||||
// Handle update
|
||||
}
|
||||
};
|
||||
|
||||
// After: Reactive shared state
|
||||
await Bun.transaction(() => {
|
||||
sharedConfig.update(config);
|
||||
});
|
||||
|
||||
for await (const change of sharedConfig.watchAll()) {
|
||||
// Automatically notified of changes
|
||||
}
|
||||
```
|
||||
|
||||
### From SharedArrayBuffer
|
||||
|
||||
```typescript
|
||||
// Before: Manual byte-level coordination
|
||||
const sharedBuffer = new SharedArrayBuffer(1024);
|
||||
const view = new Int32Array(sharedBuffer);
|
||||
|
||||
// Complex manual locking
|
||||
while (Atomics.compareExchange(view, 0, 0, 1) !== 0) {}
|
||||
// Critical section
|
||||
view[1] = newValue;
|
||||
Atomics.store(view, 0, 0); // Release lock
|
||||
|
||||
// After: Transactional updates
|
||||
await Bun.transaction(() => {
|
||||
sharedData.set('key', newValue);
|
||||
});
|
||||
```
|
||||
|
||||
## Alternative Approaches Considered
|
||||
|
||||
### 1. Event-Driven Architecture
|
||||
**Pros**: Loose coupling, familiar patterns
|
||||
**Cons**: Harder to maintain consistency, potential race conditions
|
||||
|
||||
### 2. Actor Model
|
||||
**Pros**: Strong isolation, message-passing semantics
|
||||
**Cons**: Serialization overhead, more complex programming model
|
||||
|
||||
### 3. Shared Memory with Manual Locking
|
||||
**Pros**: Maximum performance, direct control
|
||||
**Cons**: High complexity, error-prone, deadlock risks
|
||||
|
||||
### 4. External State Stores (Redis, etc.)
|
||||
**Pros**: Proven at scale, persistence
|
||||
**Cons**: Network overhead, operational complexity
|
||||
|
||||
## Implementation Phases
|
||||
|
||||
### Phase 1: Core Shared Collections
|
||||
- SharedMap, SharedArray, SharedQueue
|
||||
- Basic transaction support
|
||||
- Single-process implementation
|
||||
|
||||
### Phase 2: Advanced Features
|
||||
- SharedRecord with type safety
|
||||
- Reactive observers and watchers
|
||||
- Worker pool management
|
||||
|
||||
### Phase 3: Production Hardening
|
||||
- Performance optimization
|
||||
- Memory management tuning
|
||||
- Debugging and monitoring tools
|
||||
|
||||
### Phase 4: Ecosystem Integration
|
||||
- TypeScript integration
|
||||
- Framework adapters
|
||||
- Migration utilities
|
||||
|
||||
## Security Considerations
|
||||
|
||||
### Memory Safety
|
||||
- All shared data validated through structured cloning
|
||||
- No direct memory access to prevent corruption
|
||||
- Automatic bounds checking for collections
|
||||
|
||||
### Isolation
|
||||
- Process-level isolation maintained
|
||||
- Worker sandboxing preserved
|
||||
- No cross-origin sharing
|
||||
|
||||
### Resource Limits
|
||||
- Configurable memory limits per shared collection
|
||||
- Automatic cleanup of orphaned data
|
||||
- Protection against memory exhaustion
|
||||
|
||||
## Conclusion
|
||||
|
||||
This proposal addresses fundamental limitations in JavaScript's concurrency model by providing type-safe, efficient shared state management. Built on WebKit's robust infrastructure, it enables new classes of high-performance applications while maintaining JavaScript's accessibility and safety guarantees.
|
||||
|
||||
The design balances power and usability, offering advanced developers the tools they need for complex concurrent applications while providing safety rails that prevent common concurrency bugs.
|
||||
|
||||
By building on proven patterns from other languages (Software Transactional Memory, reactive programming) and adapting them to JavaScript's strengths, this proposal represents a natural evolution of the platform's concurrency capabilities.
|
||||
@@ -55,6 +55,30 @@ public:
|
||||
m_storage.clear();
|
||||
}
|
||||
|
||||
String getOrSetItem(const String& key, const String& defaultValue) {
|
||||
Locker locker { m_lock };
|
||||
auto it = m_storage.find(key);
|
||||
if (it != m_storage.end()) {
|
||||
return it->value;
|
||||
}
|
||||
// Item doesn't exist, set it and return the value
|
||||
String isolatedKey = key.isolatedCopy();
|
||||
String isolatedValue = defaultValue.isolatedCopy();
|
||||
m_storage.set(isolatedKey, isolatedValue);
|
||||
return isolatedValue;
|
||||
}
|
||||
|
||||
String takeItem(const String& key) {
|
||||
Locker locker { m_lock };
|
||||
auto it = m_storage.find(key);
|
||||
if (it != m_storage.end()) {
|
||||
String value = it->value;
|
||||
m_storage.remove(it);
|
||||
return value;
|
||||
}
|
||||
return String();
|
||||
}
|
||||
|
||||
private:
|
||||
ProcessStorage() = default;
|
||||
~ProcessStorage() = default;
|
||||
@@ -145,6 +169,56 @@ JSC_DEFINE_HOST_FUNCTION(jsFunctionProcessStorageClear, (JSGlobalObject* globalO
|
||||
return JSValue::encode(jsUndefined());
|
||||
}
|
||||
|
||||
JSC_DEFINE_HOST_FUNCTION(jsFunctionProcessStorageGetOrSetItem, (JSGlobalObject* globalObject, CallFrame* callFrame))
|
||||
{
|
||||
auto& vm = getVM(globalObject);
|
||||
auto scope = DECLARE_THROW_SCOPE(vm);
|
||||
|
||||
if (callFrame->argumentCount() < 2) {
|
||||
throwTypeError(globalObject, scope, "getOrSetItem requires 2 arguments"_s);
|
||||
return {};
|
||||
}
|
||||
|
||||
JSValue keyValue = callFrame->uncheckedArgument(0);
|
||||
JSValue defaultValue = callFrame->uncheckedArgument(1);
|
||||
|
||||
String key = keyValue.toWTFString(globalObject);
|
||||
RETURN_IF_EXCEPTION(scope, {});
|
||||
|
||||
String defaultString = defaultValue.toWTFString(globalObject);
|
||||
RETURN_IF_EXCEPTION(scope, {});
|
||||
|
||||
String result = ProcessStorage::getInstance().getOrSetItem(key, defaultString);
|
||||
|
||||
return JSValue::encode(jsString(vm, result));
|
||||
}
|
||||
|
||||
JSC_DEFINE_HOST_FUNCTION(jsFunctionProcessStorageTakeItem, (JSGlobalObject* globalObject, CallFrame* callFrame))
|
||||
{
|
||||
auto& vm = getVM(globalObject);
|
||||
auto scope = DECLARE_THROW_SCOPE(vm);
|
||||
|
||||
if (callFrame->argumentCount() < 1) {
|
||||
throwTypeError(globalObject, scope, "takeItem requires 1 argument"_s);
|
||||
return {};
|
||||
}
|
||||
|
||||
JSValue keyValue = callFrame->uncheckedArgument(0);
|
||||
if (keyValue.isUndefinedOrNull()) {
|
||||
return JSValue::encode(jsNull());
|
||||
}
|
||||
|
||||
String key = keyValue.toWTFString(globalObject);
|
||||
RETURN_IF_EXCEPTION(scope, {});
|
||||
|
||||
String value = ProcessStorage::getInstance().takeItem(key);
|
||||
if (value.isNull()) {
|
||||
return JSValue::encode(jsNull());
|
||||
}
|
||||
|
||||
return JSValue::encode(jsString(vm, value));
|
||||
}
|
||||
|
||||
// Function to create the processStorage object
|
||||
JSValue constructProcessStorageObject(VM& vm, JSObject* bunObject)
|
||||
{
|
||||
@@ -170,6 +244,16 @@ JSValue constructProcessStorageObject(VM& vm, JSObject* bunObject)
|
||||
JSC::Identifier::fromString(vm, "clear"_s), 0,
|
||||
jsFunctionProcessStorageClear, ImplementationVisibility::Public, NoIntrinsic,
|
||||
JSC::PropertyAttribute::DontDelete | 0);
|
||||
|
||||
processStorageObject->putDirectNativeFunction(vm, globalObject,
|
||||
JSC::Identifier::fromString(vm, "getOrSetItem"_s), 2,
|
||||
jsFunctionProcessStorageGetOrSetItem, ImplementationVisibility::Public, NoIntrinsic,
|
||||
JSC::PropertyAttribute::DontDelete | 0);
|
||||
|
||||
processStorageObject->putDirectNativeFunction(vm, globalObject,
|
||||
JSC::Identifier::fromString(vm, "takeItem"_s), 1,
|
||||
jsFunctionProcessStorageTakeItem, ImplementationVisibility::Public, NoIntrinsic,
|
||||
JSC::PropertyAttribute::DontDelete | 0);
|
||||
|
||||
return processStorageObject;
|
||||
}
|
||||
|
||||
@@ -196,3 +196,58 @@ test("Bun.experimental_processStorage concurrent access", async () => {
|
||||
|
||||
storage.clear();
|
||||
});
|
||||
|
||||
test("Bun.experimental_processStorage getOrSetItem", () => {
|
||||
const storage = Bun.experimental_processStorage;
|
||||
storage.clear();
|
||||
|
||||
// Test setting a new item
|
||||
const result1 = storage.getOrSetItem("new-key", "default-value");
|
||||
expect(result1).toBe("default-value");
|
||||
expect(storage.getItem("new-key")).toBe("default-value");
|
||||
|
||||
// Test getting an existing item (should not overwrite)
|
||||
storage.setItem("existing-key", "existing-value");
|
||||
const result2 = storage.getOrSetItem("existing-key", "new-default");
|
||||
expect(result2).toBe("existing-value");
|
||||
expect(storage.getItem("existing-key")).toBe("existing-value");
|
||||
|
||||
// Test with type conversion
|
||||
const result3 = storage.getOrSetItem("number-key", 42);
|
||||
expect(result3).toBe("42");
|
||||
expect(storage.getItem("number-key")).toBe("42");
|
||||
|
||||
storage.clear();
|
||||
});
|
||||
|
||||
test("Bun.experimental_processStorage takeItem", () => {
|
||||
const storage = Bun.experimental_processStorage;
|
||||
storage.clear();
|
||||
|
||||
// Test taking a non-existent item
|
||||
const result1 = storage.takeItem("non-existent");
|
||||
expect(result1).toBe(null);
|
||||
|
||||
// Test taking an existing item
|
||||
storage.setItem("to-take", "take-me");
|
||||
const result2 = storage.takeItem("to-take");
|
||||
expect(result2).toBe("take-me");
|
||||
|
||||
// Verify item was removed
|
||||
expect(storage.getItem("to-take")).toBe(null);
|
||||
|
||||
// Test taking the same item again (should be null)
|
||||
const result3 = storage.takeItem("to-take");
|
||||
expect(result3).toBe(null);
|
||||
|
||||
// Test with multiple items
|
||||
storage.setItem("item1", "value1");
|
||||
storage.setItem("item2", "value2");
|
||||
|
||||
const taken1 = storage.takeItem("item1");
|
||||
expect(taken1).toBe("value1");
|
||||
expect(storage.getItem("item1")).toBe(null);
|
||||
expect(storage.getItem("item2")).toBe("value2"); // Should still exist
|
||||
|
||||
storage.clear();
|
||||
});
|
||||
|
||||
Reference in New Issue
Block a user