git.iko.soy/rowtype-yoga/purescript-yoga-om-workerbees
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Initial commit: Extract Om WorkerBees to standalone repository

- Core WorkerBees library with Om integration - Shared memory primitives (SharedInt, SharedState, SharedMap) - Atomic operations and spinlock synchronization - Console-based examples (Fibonacci, SharedCounter, SharedState, SharedMap) - Worker implementations for multi-threaded computation - Full documentation (README, examples/README, QUICKSTART)

commit4562f5a1ffce97cee8b899dc1dd61bcb058bf93a authorMark <mark.eibes@gmail.com> dateSat 7 Feb 2026, 09:17 (8 months ago)
26 files changed+3946
compare with main
unifiedsplit
.gitignore+6 README.md+203 bun.lock+598 examples/QUICKSTART.md+285 examples/README.md+163 examples/build-workers.sh+38 package.json+28 spago.lock+1535 spago.yaml+49 src/Examples/FibonacciDemo.purs+58 src/Examples/SharedCounterDemo.purs+71 src/Examples/SharedMapDemo.purs+90 src/Examples/SharedStateDemo.purs+84 src/Examples/Workers/CounterWorker.purs+28 src/Examples/Workers/FibonacciWorker.purs+31 src/Examples/Workers/HashWorker.purs+42 src/Yoga/Om/WorkerBees.purs+86 src/Yoga/Om/WorkerBees/Atomics.js+14 src/Yoga/Om/WorkerBees/Atomics.purs+48 src/Yoga/Om/WorkerBees/SharedArrayBuffer.js+13 src/Yoga/Om/WorkerBees/SharedArrayBuffer.purs+33 src/Yoga/Om/WorkerBees/SharedInt.purs+75 src/Yoga/Om/WorkerBees/SharedMap.js+37 src/Yoga/Om/WorkerBees/SharedMap.purs+191 src/Yoga/Om/WorkerBees/SharedState.js+16 src/Yoga/Om/WorkerBees/SharedState.purs+124
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README.mdnew file+203
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1+# purescript-yoga-om-workerbees
2+
3+Multi-threaded computation for the Om effect monad using Node.js worker threads.
4+
5+This library provides a clean, type-safe interface for running CPU-bound computations across multiple worker threads, with support for shared memory primitives and atomic operations.
6+
7+## Features
8+
9+- **Worker Pool Management**: Create and manage pools of worker threads
10+- **Shared Memory Primitives**:
11+ - `SharedInt`: Atomic Int32 reference with compare-and-swap
12+ - `SharedState`: JSON-serialized state with spinlock synchronization
13+ - `SharedMap`: Concurrent hash map with striped locks
14+- **Type-Safe**: Full PureScript type safety for worker communication
15+- **Om Integration**: Seamless integration with the Om effect monad
16+- **Automatic Work Distribution**: Distribute tasks across available workers
17+
18+## Installation
19+
20+```bash
21+spago install yoga-om-workerbees
22+```
23+
24+**Dependencies:**
25+- `purescript-yoga-om` - The Om effect monad
26+- `purescript-node-workerbees` - Low-level worker thread bindings
27+- `purescript-yoga-json` - JSON serialization
28+
29+## Quick Start
30+
31+### 1. Create a Worker Module
32+
33+```purescript
34+module MyWorker where
35+
36+import Prelude
37+import Node.WorkerBees as WB
38+
39+-- Worker function: Int -> Int
40+fibWorker :: Int -> Int
41+fibWorker n
42+ | n <= 1 = n
43+ | otherwise = fibWorker (n - 1) + fibWorker (n - 2)
44+
45+-- Export as worker main
46+main :: Effect Unit
47+main = WB.makeAsMain fibWorker
48+```
49+
50+### 2. Bundle the Worker
51+
52+```bash
53+spago bundle \
54+ --module MyWorker \
55+ --outfile dist/workers/MyWorker.js \
56+ --platform node
57+```
58+
59+### 3. Use the Worker Pool
60+
61+```purescript
62+module Main where
63+
64+import Prelude
65+import Effect.Aff (launchAff_)
66+import Yoga.Om.WorkerBees (makePool, distributeWork, terminatePool)
67+
68+main :: Effect Unit
69+main = launchAff_ do
70+ -- Create worker pool
71+ pool <- makePool
72+ { workerPath: "./dist/workers/MyWorker.js"
73+ , poolSize: 4
74+ }
75+
76+ -- Distribute work
77+ let inputs = [35, 36, 37, 38]
78+ results <- distributeWork pool inputs
79+
80+ -- Clean up
81+ terminatePool pool
82+```
83+
84+## Shared Memory
85+
86+### SharedInt (Atomic Counter)
87+
88+```purescript
89+import Yoga.Om.WorkerBees.SharedInt as SharedInt
90+
91+-- Create atomic counter
92+counter <- SharedInt.new 0 # liftEffect
93+
94+-- Atomic operations
95+SharedInt.add counter 1 # liftEffect
96+SharedInt.sub counter 1 # liftEffect
97+value <- SharedInt.read counter # liftEffect
98+
99+-- Compare-and-swap
100+success <- SharedInt.compareAndSwap counter 0 42 # liftEffect
101+
102+-- Atomic modify
103+SharedInt.modify counter (_ + 1) # liftEffect
104+```
105+
106+### SharedState (JSON State)
107+
108+```purescript
109+import Yoga.Om.WorkerBees.SharedState as SharedState
110+
111+type AppState = { counter :: Int, message :: String }
112+
113+-- Create shared state (1KB buffer)
114+state <- SharedState.new 1024 { counter: 0, message: "Hello" } # liftEffect
115+
116+-- Read/write
117+current <- SharedState.read state # liftEffect
118+SharedState.write state { counter: 1, message: "Updated" } # liftEffect
119+
120+-- Atomic modify
121+SharedState.modify state (\s -> s { counter = s.counter + 1 }) # liftEffect
122+```
123+
124+### SharedMap (Concurrent Hash Map)
125+
126+```purescript
127+import Yoga.Om.WorkerBees.SharedMap as SharedMap
128+
129+-- Create map (16 stripes, 4KB per entry)
130+map <- SharedMap.new 16 4096 # liftEffect
131+
132+-- Insert/lookup/delete
133+SharedMap.insert map "key" { value: 42 } # liftEffect
134+maybeValue <- SharedMap.lookup map "key" # liftEffect
135+SharedMap.delete map "key" # liftEffect
136+
137+-- Atomic modify
138+SharedMap.modify map "key" (\v -> v { value = v.value + 1 }) # liftEffect
139+```
140+
141+## Examples
142+
143+Run the console examples:
144+
145+```bash
146+# Install dependencies
147+bun install
148+
149+# Fibonacci calculation with worker pool
150+bun run example:fibonacci
151+
152+# Shared atomic counter
153+bun run example:counter
154+
155+# Shared JSON state
156+bun run example:state
157+
158+# Concurrent hash map
159+bun run example:map
160+```
161+
162+See the `examples/` directory for full source code.
163+
164+## When to Use WorkerBees
165+
166+**Use WorkerBees for:**
167+- CPU-bound computations (cryptography, image processing, parsing)
168+- Parallel processing of large datasets
169+- Tasks that would block the event loop
170+
171+**Don't use WorkerBees for:**
172+- I/O operations (use `Aff` instead - Node.js already handles I/O concurrency)
173+- Simple computations (overhead of worker communication isn't worth it)
174+- Shared state when Aff + `Ref` would suffice
175+
176+## Architecture
177+
178+- **WorkerPool**: Manages a pool of worker threads
179+- **Sendable**: Type-safe serialization for worker communication
180+- **SharedArrayBuffer**: Native shared memory between threads
181+- **Atomics**: Low-level atomic operations (load, store, compareExchange)
182+- **SharedInt/SharedState/SharedMap**: High-level shared memory abstractions
183+
184+## Performance Tips
185+
186+1. **Pool Size**: Default is 4 workers. Adjust based on CPU cores and workload:
187+ ```purescript
188+ makePool { workerPath, poolSize: 8 }
189+ ```
190+
191+2. **Batch Work**: Distribute many small tasks rather than few large ones for better load balancing
192+
193+3. **Shared Memory**: Use `makePoolWithData` to share memory instead of copying data:
194+ ```purescript
195+ counter <- SharedInt.new 0 # liftEffect
196+ pool <- makePoolWithData (SharedInt.toSendable counter) config
197+ ```
198+
199+4. **Worker Bundling**: Always bundle workers with `--platform node` for optimal performance
200+
201+## License
202+
203+MIT
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examples/QUICKSTART.mdnew file+285
@@ -0,0 +1,285 @@
1+# WorkerBees Quick Start Guide
2+
3+This guide will walk you through creating your first multi-threaded PureScript application using WorkerBees.
4+
5+## Step 1: Install Dependencies
6+
7+```bash
8+spago install yoga-om-workerbees
9+```
10+
11+## Step 2: Create a Worker Module
12+
13+Create `src/Workers/MyWorker.purs`:
14+
15+```purescript
16+module Workers.MyWorker where
17+
18+import Prelude
19+import Effect (Effect)
20+import Node.WorkerBees as WB
21+
22+-- This is the function that will run in worker threads
23+-- For this example, we'll compute the square of a number
24+squareWorker :: Int -> Int
25+squareWorker n = n * n
26+
27+-- Export as worker main - this is required!
28+main :: Effect Unit
29+main = WB.makeAsMain squareWorker
30+```
31+
32+**Important:** The worker module must export a `main` function that calls `WB.makeAsMain`.
33+
34+## Step 3: Create the Main Application
35+
36+Create `src/Main.purs`:
37+
38+```purescript
39+module Main where
40+
41+import Prelude
42+
43+import Data.Array as Array
44+import Data.Traversable (for_)
45+import Effect (Effect)
46+import Effect.Aff (launchAff_)
47+import Effect.Class.Console (log)
48+import Yoga.Om.WorkerBees (makePool, distributeWork, terminatePool)
49+
50+main :: Effect Unit
51+main = launchAff_ do
52+ log "Starting worker pool..."
53+
54+ -- Step 1: Create worker pool
55+ pool <- makePool
56+ { workerPath: "./dist/workers/MyWorker.js"
57+ , poolSize: 4 -- Use 4 worker threads
58+ }
59+
60+ -- Step 2: Prepare input data
61+ let inputs = Array.range 1 10 -- [1, 2, 3, ..., 10]
62+
63+ log $ "Computing squares of: " <> show inputs
64+
65+ -- Step 3: Distribute work across workers
66+ results <- distributeWork pool inputs
67+
68+ -- Step 4: Print results
69+ log "Results:"
70+ for_ (Array.zip inputs results) \(input, result) -> do
71+ log $ " " <> show input <> "² = " <> show result
72+
73+ -- Step 5: Clean up
74+ log "Terminating pool..."
75+ terminatePool pool
76+
77+ log "Done!"
78+```
79+
80+## Step 4: Bundle the Worker
81+
82+Create a build script `scripts/build-workers.sh`:
83+
84+```bash
85+#!/usr/bin/env bash
86+set -e
87+
88+echo "Building PureScript..."
89+spago build
90+
91+echo "Bundling worker..."
92+spago bundle \
93+ --module Workers.MyWorker \
94+ --outfile dist/workers/MyWorker.js \
95+ --platform node
96+
97+echo "Worker bundled successfully!"
98+```
99+
100+Make it executable:
101+
102+```bash
103+chmod +x scripts/build-workers.sh
104+```
105+
106+## Step 5: Update package.json
107+
108+Add scripts to your `package.json`:
109+
110+```json
111+{
112+ "scripts": {
113+ "build": "spago build",
114+ "build:workers": "bash scripts/build-workers.sh",
115+ "start": "bun run build:workers && spago run"
116+ }
117+}
118+```
119+
120+## Step 6: Run Your Application
121+
122+```bash
123+bun run start
124+```
125+
126+You should see output like:
127+
128+```
129+Starting worker pool...
130+Computing squares of: [1,2,3,4,5,6,7,8,9,10]
131+Results:
132+ 1² = 1
133+ 2² = 4
134+ 3² = 9
135+ 4² = 16
136+ 5² = 25
137+ 6² = 36
138+ 7² = 49
139+ 8² = 64
140+ 9² = 81
141+ 10² = 100
142+Terminating pool...
143+Done!
144+```
145+
146+## Understanding What Happened
147+
148+1. **Worker Creation**: `makePool` created 4 worker threads, each running `dist/workers/MyWorker.js`
149+
150+2. **Work Distribution**: `distributeWork` automatically:
151+ - Split the 10 inputs across 4 workers
152+ - Sent tasks to available workers
153+ - Collected results in order
154+
155+3. **Parallel Execution**: Workers computed squares in parallel (faster than sequential for real CPU-bound work)
156+
157+4. **Cleanup**: `terminatePool` terminated all workers and freed resources
158+
159+## Next Steps
160+
161+### Add Shared Memory
162+
163+Create a shared counter that workers can increment:
164+
165+```purescript
166+import Yoga.Om.WorkerBees (makePoolWithData)
167+import Yoga.Om.WorkerBees.SharedInt as SharedInt
168+
169+main :: Effect Unit
170+main = launchAff_ do
171+ -- Create shared counter
172+ counter <- SharedInt.new 0 # liftEffect
173+
174+ -- Create pool with shared data
175+ pool <- makePoolWithData (SharedInt.toSendable counter)
176+ { workerPath: "./dist/workers/CounterWorker.js"
177+ , poolSize: 4
178+ }
179+
180+ -- Workers can now access the counter via context.workerData
181+ -- ...
182+
183+ finalValue <- SharedInt.read counter # liftEffect
184+ log $ "Final counter value: " <> show finalValue
185+```
186+
187+Worker side:
188+
189+```purescript
190+module Workers.CounterWorker where
191+
192+import Prelude
193+import Effect (Effect)
194+import Node.WorkerBees as WB
195+import Yoga.Om.WorkerBees.SharedInt as SharedInt
196+
197+counterWorker :: WB.SendWrapper SharedInt.SharedInt -> Int -> Effect Int
198+counterWorker sendable _ = do
199+ counter <- SharedInt.fromSendable sendable
200+ SharedInt.add counter 1
201+ SharedInt.read counter
202+
203+main :: Effect Unit
204+main = WB.makeAsMain counterWorker
205+```
206+
207+### Use More Complex Data Types
208+
209+Workers can handle any `Sendable` type (JSON-serializable):
210+
211+```purescript
212+type Task =
213+ { id :: Int
214+ , operation :: String
215+ , value :: Number
216+ }
217+
218+type Result =
219+ { taskId :: Int
220+ , result :: Number
221+ , processingTime :: Number
222+ }
223+
224+-- Worker function
225+processTask :: Task -> Effect Result
226+processTask task = do
227+ -- ... process task ...
228+ pure { taskId: task.id, result: 42.0, processingTime: 10.0 }
229+```
230+
231+### Error Handling
232+
233+Add error handling to workers:
234+
235+```purescript
236+import Data.Either (Either(..))
237+import Control.Monad.Error.Class (try)
238+
239+safeWorker :: Int -> Effect (Either String Int)
240+safeWorker n = try do
241+ when (n < 0) $ throw "Negative numbers not allowed"
242+ pure (n * n)
243+```
244+
245+## Common Pitfalls
246+
247+1. **Forgetting to Bundle**: Workers must be bundled with `spago bundle --platform node`
248+
249+2. **Wrong Worker Path**: Path must be relative to where you run the app (usually `./dist/workers/...`)
250+
251+3. **Not Calling `makeAsMain`**: Worker `main` function must call `WB.makeAsMain yourFunction`
252+
253+4. **Using for I/O**: WorkerBees is for CPU-bound tasks. Use `Aff` for I/O operations.
254+
255+5. **Forgetting `terminatePool`**: Always clean up workers to free resources
256+
257+## Tips for Production
258+
259+1. **Adjust Pool Size**: Match CPU cores for CPU-bound work:
260+ ```purescript
261+ poolSize: 8 -- For 8-core machine
262+ ```
263+
264+2. **Batch Tasks**: Send many small tasks instead of few large ones for better load balancing
265+
266+3. **Monitor Performance**: Add timing to see if workers actually help:
267+ ```purescript
268+ start <- nowDateTime # liftEffect
269+ results <- distributeWork pool inputs
270+ end <- nowDateTime # liftEffect
271+ let duration = diff end start
272+ log $ "Completed in: " <> show duration
273+ ```
274+
275+4. **Graceful Shutdown**: Always terminate pools on app shutdown to avoid zombie processes
276+
277+## More Examples
278+
279+Check the `examples/` directory for more advanced usage:
280+- `FibonacciDemo.purs` - CPU-bound computation
281+- `SharedCounterDemo.purs` - Atomic operations
282+- `SharedStateDemo.purs` - JSON state management
283+- `SharedMapDemo.purs` - Concurrent hash map
284+
285+Happy parallel computing! 🚀
examples/README.mdnew file+163
@@ -0,0 +1,163 @@
1+# WorkerBees Examples
2+
3+This directory contains console-based examples demonstrating the WorkerBees library functionality.
4+
5+## Running Examples
6+
7+All examples require building the workers first:
8+
9+```bash
10+bun run build:workers
11+```
12+
13+Then run any example:
14+
15+```bash
16+bun run example:fibonacci # Fibonacci calculation
17+bun run example:counter # Shared atomic counter
18+bun run example:state # Shared JSON state
19+bun run example:map # Concurrent hash map
20+```
21+
22+## Example Descriptions
23+
24+### FibonacciDemo
25+
26+**File:** `FibonacciDemo.purs`
27+**Worker:** `Workers/FibonacciWorker.purs`
28+
29+Demonstrates basic worker pool usage with CPU-bound computation:
30+- Creates a pool of 4 workers
31+- Distributes Fibonacci calculations across workers
32+- Collects and displays results
33+- Shows proper cleanup
34+
35+**Key concepts:**
36+- Worker pool creation
37+- Work distribution
38+- Result collection
39+
40+### SharedCounterDemo
41+
42+**File:** `SharedCounterDemo.purs`
43+**Worker:** `Workers/CounterWorker.purs`
44+
45+Demonstrates `SharedInt` (atomic Int32 reference):
46+- Creates a shared atomic counter
47+- Passes counter to workers via `workerData`
48+- 100 concurrent increment operations
49+- Shows final counter value
50+
51+**Key concepts:**
52+- Shared memory creation
53+- Atomic operations
54+- Thread-safe increments
55+- `makePoolWithData` for sharing state
56+
57+### SharedStateDemo
58+
59+**File:** `SharedStateDemo.purs`
60+
61+Demonstrates `SharedState` (JSON-serialized state with spinlock):
62+- Creates shared state with record type
63+- Read and write operations
64+- Atomic modify operations
65+- Spinlock synchronization
66+
67+**Key concepts:**
68+- JSON serialization
69+- Atomic modify with CAS loop
70+- Spinlock-based synchronization
71+- Buffer size management
72+
73+### SharedMapDemo
74+
75+**File:** `SharedMapDemo.purs`
76+
77+Demonstrates `SharedMap` (concurrent hash map):
78+- Creates striped concurrent map
79+- Insert, lookup, modify, delete operations
80+- Shows concurrent access patterns
81+- Demonstrates striped lock benefits
82+
83+**Key concepts:**
84+- Concurrent hash map
85+- Striped locking
86+- Key-value operations
87+- Lock-free reads
88+
89+## Worker Implementations
90+
91+### FibonacciWorker
92+
93+Classic recursive Fibonacci - CPU-bound computation perfect for demonstrating worker benefits.
94+
95+```purescript
96+fibWorker :: Int -> Int
97+fibWorker n
98+ | n <= 1 = n
99+ | otherwise = fibWorker (n - 1) + fibWorker (n - 2)
100+```
101+
102+### CounterWorker
103+
104+Increments a shared counter and returns the new value:
105+
106+```purescript
107+counterWorker :: SendWrapper SharedInt -> Int -> Effect Int
108+counterWorker sendable _ = do
109+ counter <- SharedInt.fromSendable sendable
110+ SharedInt.add counter 1
111+ SharedInt.read counter
112+```
113+
114+### HashWorker
115+
116+Processes text (calculates hash codes) - demonstrates string processing workload:
117+
118+```purescript
119+hashWorker :: String -> Effect Int
120+hashWorker text = pure $ hashString text
121+```
122+
123+## Building Workers Manually
124+
125+The `build-workers.sh` script bundles all workers, but you can also build individually:
126+
127+```bash
128+spago bundle \
129+ --module Examples.Workers.FibonacciWorker \
130+ --outfile dist/workers/FibonacciWorker.js \
131+ --platform node
132+```
133+
134+**Important:** Always use `--platform node` for worker bundles!
135+
136+## Tips for Writing Your Own Examples
137+
138+1. **Worker Entry Point**: Always use `WB.makeAsMain yourFunction` as the worker's `main`
139+
140+2. **Bundle Before Running**: Workers must be bundled to `dist/workers/*.js` before use
141+
142+3. **Shared Memory**: Use `SendWrapper` types for passing shared memory to workers:
143+ ```purescript
144+ counter <- SharedInt.new 0 # liftEffect
145+ pool <- makePoolWithData (SharedInt.toSendable counter) config
146+ ```
147+
148+4. **Error Handling**: Workers should handle errors gracefully - unhandled errors will crash the worker
149+
150+5. **Cleanup**: Always call `terminatePool` when done to free resources
151+
152+## Performance Notes
153+
154+- **Pool Size**: Examples use 4 workers by default. Adjust based on your CPU cores.
155+- **Batch Size**: `distributeWork` automatically batches tasks across available workers.
156+- **Shared Memory**: Faster than message passing when state is frequently accessed.
157+- **Overhead**: Worker communication has overhead - only use for CPU-bound tasks that take >10ms.
158+
159+## Further Reading
160+
161+- See the main `README.md` for API documentation
162+- See `QUICKSTART.md` for a step-by-step tutorial
163+- Check worker source code in `Workers/` for implementation details
examples/build-workers.shnew file+38
@@ -0,0 +1,38 @@
1+#!/usr/bin/env bash
2+
3+# Build script for worker modules
4+# This bundles the workers into standalone JavaScript files
5+
6+set -e
7+
8+# Ensure purs is in PATH
9+export PATH="./node_modules/.bin:$PATH"
10+
11+echo "Building workers..."
12+
13+# Build all PureScript modules first
14+echo " Compiling PureScript..."
15+spago build
16+
17+# Bundle Fibonacci worker
18+echo " Bundling FibonacciWorker..."
19+spago bundle \
20+ --module Examples.Workers.FibonacciWorker \
21+ --outfile dist/workers/FibonacciWorker.js \
22+ --platform node
23+
24+# Bundle Hash worker
25+echo " Bundling HashWorker..."
26+spago bundle \
27+ --module Examples.Workers.HashWorker \
28+ --outfile dist/workers/HashWorker.js \
29+ --platform node
30+
31+# Bundle Counter worker (shared memory example)
32+echo " Bundling CounterWorker..."
33+spago bundle \
34+ --module Examples.Workers.CounterWorker \
35+ --outfile dist/workers/CounterWorker.js \
36+ --platform node
37+
38+echo "Workers built successfully!"
package.jsonnew file+28
@@ -0,0 +1,28 @@
1+{
2+ "name": "purescript-yoga-om-workerbees",
3+ "version": "0.1.0",
4+ "description": "Multi-threaded computation for the Om effect monad using Node.js worker threads",
5+ "type": "module",
6+ "scripts": {
7+ "build": "spago build",
8+ "build:workers": "bash examples/build-workers.sh",
9+ "example:fibonacci": "bun run build:workers && spago run --main Examples.FibonacciDemo",
10+ "example:counter": "bun run build:workers && spago run --main Examples.SharedCounterDemo",
11+ "example:state": "bun run build:workers && spago run --main Examples.SharedStateDemo",
12+ "example:map": "bun run build:workers && spago run --main Examples.SharedMapDemo"
13+ },
14+ "keywords": [
15+ "purescript",
16+ "om",
17+ "worker-threads",
18+ "multithreading",
19+ "shared-memory",
20+ "atomics"
21+ ],
22+ "license": "MIT",
23+ "devDependencies": {
24+ "purescript": "^0.15.15",
25+ "purs-tidy": "^0.10.0",
26+ "spago": "next"
27+ }
28+}
spago.locknew file+1535
@@ -0,0 +1,1535 @@
1+{
2+ "workspace": {
3+ "packages": {
4+ "yoga-om-workerbees": {
5+ "path": "./",
6+ "core": {
7+ "dependencies": [
8+ {
9+ "aff": ">=7.0.0 <8.0.0"
10+ },
11+ {
12+ "arraybuffer-types": ">=3.0.0 <4.0.0"
13+ },
14+ {
15+ "console": ">=6.0.0 <7.0.0"
16+ },
17+ {
18+ "effect": ">=4.0.0 <5.0.0"
19+ },
20+ {
21+ "either": ">=6.0.0 <7.0.0"
22+ },
23+ {
24+ "foldable-traversable": ">=6.0.0 <7.0.0"
25+ },
26+ {
27+ "maybe": ">=6.0.0 <7.0.0"
28+ },
29+ {
30+ "newtype": ">=5.0.0 <6.0.0"
31+ },
32+ {
33+ "node-buffer": ">=9.0.0 <10.0.0"
34+ },
35+ "node-workerbees",
36+ {
37+ "parallel": ">=7.0.0 <8.0.0"
38+ },
39+ {
40+ "prelude": ">=6.0.0 <7.0.0"
41+ },
42+ {
43+ "transformers": ">=6.0.0 <7.0.0"
44+ },
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46+ "unsafe-coerce": ">=6.0.0 <7.0.0"
47+ },
48+ {
49+ "yoga-json": ">=5.0.0 <6.0.0"
50+ },
51+ "yoga-om"
52+ ],
53+ "build_plan": [
54+ "aff",
55+ "argonaut-core",
56+ "arraybuffer-types",
57+ "arrays",
58+ "avar",
59+ "bifunctors",
60+ "catenable-lists",
61+ "console",
62+ "const",
63+ "contravariant",
64+ "control",
65+ "datetime",
66+ "distributive",
67+ "effect",
68+ "either",
69+ "enums",
70+ "exceptions",
71+ "exists",
72+ "foldable-traversable",
73+ "foreign",
74+ "foreign-object",
75+ "free",
76+ "functions",
77+ "functors",
78+ "gen",
79+ "heterogeneous",
80+ "identity",
81+ "integers",
82+ "invariant",
83+ "js-bigints",
84+ "js-date",
85+ "lazy",
86+ "lists",
87+ "maybe",
88+ "newtype",
89+ "node-buffer",
90+ "node-workerbees",
91+ "nonempty",
92+ "now",
93+ "nullable",
94+ "numbers",
95+ "ordered-collections",
96+ "orders",
97+ "parallel",
98+ "partial",
99+ "prelude",
100+ "profunctor",
101+ "record",
102+ "record-studio",
103+ "refs",
104+ "safe-coerce",
105+ "st",
106+ "strings",
107+ "tailrec",
108+ "transformers",
109+ "tuples",
110+ "type-equality",
111+ "typelevel-prelude",
112+ "uncurried-transformers",
113+ "unfoldable",
114+ "unsafe-coerce",
115+ "variant",
116+ "yoga-json",
117+ "yoga-om",
118+ "yoga-tree"
119+ ]
120+ },
121+ "test": {
122+ "dependencies": [],
123+ "build_plan": []
124+ }
125+ }
126+ },
127+ "package_set": {
128+ "address": {
129+ "registry": "51.1.0"
130+ },
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149+ "argonaut-codecs": "9.1.0",
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151+ "argonaut-generic": "8.0.0",
152+ "argonaut-traversals": "10.0.0",
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155+ "array-search": "0.5.6",
156+ "arraybuffer": "13.2.0",
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160+ "arrays-extra": "0.6.1",
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166+ "b64": "0.0.8",
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168+ "barlow-lens": "0.9.0",
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170+ "bigints": "7.0.1",
171+ "bolson": "0.3.9",
172+ "bookhound": "0.1.7",
173+ "bower-json": "3.0.0",
174+ "call-by-name": "4.0.1",
175+ "canvas": "6.0.0",
176+ "canvas-action": "9.0.0",
177+ "cartesian": "1.0.6",
178+ "catenable-lists": "7.0.0",
179+ "cbor-stream": "1.0.4",
180+ "chameleon": "1.0.0",
181+ "chameleon-halogen": "1.0.3",
182+ "chameleon-react-basic": "1.1.0",
183+ "chameleon-styled": "2.5.0",
184+ "chameleon-transformers": "1.0.0",
185+ "channel": "1.0.0",
186+ "checked-exceptions": "3.1.1",
187+ "choku": "1.0.1",
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203+ "control": "6.0.0",
204+ "convertable-options": "1.0.0",
205+ "coroutines": "7.0.0",
206+ "css": "6.0.0",
207+ "css-frameworks": "1.0.1",
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214+ "decimals": "7.1.0",
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221+ "dom-indexed": "12.0.0",
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226+ "dual-numbers": "1.0.2",
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228+ "echarts-simple": "0.0.1",
229+ "effect": "4.0.0",
230+ "either": "6.1.0",
231+ "elmish": "0.11.3",
232+ "elmish-enzyme": "0.1.1",
233+ "elmish-hooks": "0.10.0",
234+ "elmish-html": "0.8.2",
235+ "elmish-testing-library": "0.3.2",
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238+ "enums": "6.0.1",
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269+ "form-urlencoded": "7.0.0",
270+ "formatters": "7.0.0",
271+ "framer-motion": "1.0.1",
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273+ "freeap": "7.0.0",
274+ "freer-free": "0.0.1",
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286+ "grain": "3.0.0",
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288+ "grain-virtualized": "3.0.0",
289+ "graphs": "8.1.0",
290+ "group": "4.1.1",
291+ "halogen": "7.0.0",
292+ "halogen-bootstrap5": "5.3.2",
293+ "halogen-canvas": "1.0.0",
294+ "halogen-css": "10.0.0",
295+ "halogen-echarts-simple": "0.0.4",
296+ "halogen-formless": "4.0.3",
297+ "halogen-helix": "1.0.0",
298+ "halogen-hooks": "0.6.3",
299+ "halogen-hooks-extra": "0.9.0",
300+ "halogen-infinite-scroll": "1.1.0",
301+ "halogen-store": "0.5.4",
302+ "halogen-storybook": "2.0.0",
303+ "halogen-subscriptions": "2.0.0",
304+ "halogen-svg-elems": "8.0.0",
305+ "halogen-typewriter": "1.0.4",
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307+ "halogen-vdom-string-renderer": "0.5.0",
308+ "halogen-xterm": "2.0.0",
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310+ "heterogeneous": "0.6.0",
311+ "homogeneous": "0.4.0",
312+ "http-methods": "6.0.0",
313+ "httpurple": "4.0.0",
314+ "humdrum": "0.0.1",
315+ "hyrule": "2.3.8",
316+ "identity": "6.0.0",
317+ "identy": "4.0.1",
318+ "indexed-db": "1.0.0",
319+ "indexed-monad": "3.0.0",
320+ "int64": "3.0.0",
321+ "integers": "6.0.0",
322+ "interpolate": "5.0.2",
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326+ "jelly": "0.10.0",
327+ "jelly-router": "0.3.0",
328+ "jelly-signal": "0.4.0",
329+ "jest": "1.0.0",
330+ "js-abort-controller": "1.0.0",
331+ "js-bigints": "2.2.1",
332+ "js-date": "8.0.0",
333+ "js-fetch": "0.2.1",
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335+ "js-intl": "1.0.4",
336+ "js-iterators": "0.1.1",
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338+ "js-promise": "1.0.0",
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342+ "json": "1.1.0",
343+ "json-codecs": "5.0.0",
344+ "justifill": "0.5.0",
345+ "jwt": "0.0.9",
346+ "labeled-data": "0.2.0",
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350+ "lcg": "4.0.0",
351+ "leibniz": "5.0.0",
352+ "leveldb": "1.0.1",
353+ "liminal": "1.0.1",
354+ "linalg": "6.0.0",
355+ "lists": "7.0.0",
356+ "literals": "1.0.2",
357+ "logging": "3.0.0",
358+ "logging-journald": "0.4.0",
359+ "lumi-components": "18.0.0",
360+ "machines": "7.0.0",
361+ "maps-eager": "0.4.1",
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1533+ }
1534+ }
1535+}
spago.yamlnew file+49
@@ -0,0 +1,49 @@
1+workspace:
2+ packageSet:
3+ registry: 51.1.0
4+ extraPackages:
5+ node-workerbees:
6+ git: https://github.com/natefaubion/purescript-node-workerbees.git
7+ ref: v0.3.1
8+ dependencies:
9+ - aff
10+ - argonaut-core
11+ - effect
12+ - either
13+ - exceptions
14+ - maybe
15+ - newtype
16+ - parallel
17+ - prelude
18+ - transformers
19+ - unsafe-coerce
20+ yoga-om:
21+ path: ../purescript-yoga-om
22+ yoga-json:
23+ path: ../purescript-yoga-json
24+
25+package:
26+ name: yoga-om-workerbees
27+ publish:
28+ version: 0.1.0
29+ license: MIT
30+ dependencies:
31+ - aff: ">=7.0.0 <8.0.0"
32+ - arraybuffer-types: ">=3.0.0 <4.0.0"
33+ - console: ">=6.0.0 <7.0.0"
34+ - effect: ">=4.0.0 <5.0.0"
35+ - either: ">=6.0.0 <7.0.0"
36+ - foldable-traversable: ">=6.0.0 <7.0.0"
37+ - maybe: ">=6.0.0 <7.0.0"
38+ - newtype: ">=5.0.0 <6.0.0"
39+ - node-buffer: ">=9.0.0 <10.0.0"
40+ - node-workerbees
41+ - parallel: ">=7.0.0 <8.0.0"
42+ - prelude: ">=6.0.0 <7.0.0"
43+ - transformers: ">=6.0.0 <7.0.0"
44+ - unsafe-coerce: ">=6.0.0 <7.0.0"
45+ - yoga-json: ">=5.0.0 <6.0.0"
46+ - yoga-om
47+ test:
48+ main: Test.Main
49+ dependencies: []
src/Examples/FibonacciDemo.pursnew file+58
@@ -0,0 +1,58 @@
1+module Examples.FibonacciDemo where
2+
3+import Prelude
4+
5+import Prelude
6+
7+import Control.Parallel (parTraverse)
8+import Data.Array as Array
9+import Data.Traversable (for_)
10+import Data.Tuple (Tuple(..))
11+import Effect (Effect)
12+import Effect.Aff (Aff, launchAff_)
13+import Effect.Class.Console (log)
14+import Node.WorkerBees.Aff.Pool as Pool
15+import Node.WorkerBees as WB
16+
17+-- | Simple console demo of Fibonacci calculation using worker pool
18+-- |
19+-- | This demonstrates:
20+-- | - Creating a worker pool
21+-- | - Distributing work across multiple threads
22+-- | - Collecting results
23+-- | - Proper cleanup
24+type FibInput = { n :: Int }
25+type FibOutput = { result :: Int, thread :: Int }
26+
27+fibDemo :: Aff Unit
28+fibDemo = do
29+ log "=== Fibonacci Worker Demo ==="
30+ log ""
31+
32+ -- Create worker pool with 4 workers
33+ log "Creating worker pool..."
34+ let worker = (WB.unsafeWorkerFromPath "./dist/workers/FibonacciWorker.js" :: WB.Worker Unit FibInput FibOutput)
35+ pool <- Pool.make worker unit 4
36+
37+ -- Test inputs: Calculate Fibonacci for these numbers
38+ let inputs = [35, 36, 37, 38, 39, 40]
39+ let fibInputs = map (\n -> { n }) inputs
40+
41+ log $ "Calculating Fibonacci for: " <> show inputs
42+ log ""
43+
44+ -- Distribute work and collect results
45+ results <- parTraverse (Pool.invoke pool) fibInputs
46+
47+ -- Print results
48+ for_ (Array.zip inputs results) \(Tuple input result) -> do
49+ log $ "fib(" <> show input <> ") = " <> show result.result
50+
51+ log ""
52+ log "Cleaning up..."
53+ Pool.terminate pool
54+
55+ log "Done!"
56+
57+main :: Effect Unit
58+main = launchAff_ fibDemo
src/Examples/SharedCounterDemo.pursnew file+71
@@ -0,0 +1,71 @@
1+module Examples.SharedCounterDemo where
2+
3+import Prelude
4+
5+import Prelude
6+
7+import Control.Parallel (parTraverse)
8+import Data.Array as Array
9+import Data.Traversable (for_)
10+import Effect (Effect)
11+import Effect.Aff (Aff, launchAff_)
12+import Effect.Class (liftEffect)
13+import Effect.Class.Console (log)
14+import Node.WorkerBees.Aff.Pool as Pool
15+import Node.WorkerBees as WB
16+import Yoga.Om.WorkerBees.SharedInt as SharedInt
17+
18+-- | Console demo of SharedInt (atomic counter) across worker threads
19+-- |
20+-- | This demonstrates:
21+-- | - Creating a shared atomic counter
22+-- | - Passing shared memory to workers via workerData
23+-- | - Concurrent increments from multiple workers
24+-- | - Reading the final value
25+type CounterInput = { n :: Int }
26+type CounterOutput = { result :: Int, count :: Int }
27+
28+counterDemo :: Aff Unit
29+counterDemo = do
30+ log "=== Shared Counter Demo ==="
31+ log ""
32+
33+ -- Create shared counter starting at 0
34+ log "Creating shared counter..."
35+ counter <- liftEffect $ SharedInt.new 0
36+
37+ -- Create worker pool with shared counter as workerData
38+ log "Creating worker pool with shared counter..."
39+ let counterSendable = SharedInt.toSendable counter
40+ let worker = (WB.unsafeWorkerFromPath "./dist/workers/CounterWorker.js" :: WB.Worker (WB.SendWrapper SharedInt.SharedInt) CounterInput CounterOutput)
41+ pool <- Pool.make worker counterSendable 4
42+
43+ -- Send 100 increment tasks (each worker will increment the shared counter)
44+ let tasks = Array.range 1 100
45+ let counterInputs = map (\n -> { n }) tasks
46+
47+ log "Distributing 100 increment tasks across workers..."
48+ log ""
49+
50+ results <- parTraverse (Pool.invoke pool) counterInputs
51+
52+ -- Print some sample results (showing concurrent increments)
53+ log "Sample results from workers:"
54+ for_ (Array.take 10 results) \result -> do
55+ log $ " Result: " <> show result.result <> ", Counter: " <> show result.count
56+
57+ log "..."
58+ log ""
59+
60+ -- Read final counter value
61+ finalValue <- liftEffect $ SharedInt.read counter
62+ log $ "Final counter value: " <> show finalValue
63+
64+ log ""
65+ log "Cleaning up..."
66+ Pool.terminate pool
67+
68+ log "Done!"
69+
70+main :: Effect Unit
71+main = launchAff_ counterDemo
src/Examples/SharedMapDemo.pursnew file+90
@@ -0,0 +1,90 @@
1+module Examples.SharedMapDemo where
2+
3+import Prelude
4+
5+import Data.Array as Array
6+import Data.Maybe (Maybe(..))
7+import Data.Traversable (for_)
8+import Effect (Effect)
9+import Effect.Aff (Aff, launchAff_)
10+import Effect.Class (liftEffect)
11+import Effect.Class.Console (log)
12+import Yoga.JSON as JSON
13+import Yoga.Om.WorkerBees.SharedMap as SharedMap
14+
15+type UserRecord =
16+ { id :: Int
17+ , name :: String
18+ , active :: Boolean
19+ }
20+
21+-- | Console demo of SharedMap (concurrent hash map with striped locks)
22+-- |
23+-- | This demonstrates:
24+-- | - Creating a shared concurrent hash map
25+-- | - Insert, lookup, and modify operations
26+-- | - Thread-safe concurrent access
27+-- | - Striped lock-based synchronization
28+mapDemo :: Aff Unit
29+mapDemo = do
30+ log "=== Shared Map Demo ==="
31+ log ""
32+
33+ -- Create shared map with 16 stripes and 4KB per entry
34+ log "Creating shared map (16 stripes, 4KB per entry)..."
35+ userMap <- liftEffect $ SharedMap.new 16 4096
36+
37+ -- Insert some users
38+ log ""
39+ log "Inserting users..."
40+
41+ let users =
42+ [ { id: 1, name: "Alice", active: true }
43+ , { id: 2, name: "Bob", active: false }
44+ , { id: 3, name: "Charlie", active: true }
45+ ]
46+
47+ for_ users \user -> do
48+ let key = "user:" <> show user.id
49+ liftEffect $ SharedMap.insert key user userMap
50+ log $ " Inserted: " <> key <> " -> " <> JSON.writeJSON user
51+
52+ -- Lookup users
53+ log ""
54+ log "Looking up users..."
55+
56+ for_ (Array.range 1 3) \userId -> do
57+ let key = "user:" <> show userId
58+ maybeUser <- liftEffect $ SharedMap.lookup key userMap
59+ case maybeUser of
60+ Just user -> log $ " Found: " <> key <> " -> " <> JSON.writeJSON user
61+ Nothing -> log $ " Not found: " <> key
62+
63+ -- Modify a user
64+ log ""
65+ log "Modifying user:2 (set active = true)..."
66+
67+ _ <- liftEffect $ SharedMap.modify "user:2" (\user -> user { active = true }) userMap
68+
69+ -- Lookup the modified user
70+ maybeUser2 <- liftEffect $ SharedMap.lookup "user:2" userMap
71+ case maybeUser2 of
72+ Just user -> log $ " Updated: " <> JSON.writeJSON user
73+ Nothing -> log " User not found"
74+
75+ -- Delete a user
76+ log ""
77+ log "Deleting user:1..."
78+ liftEffect $ SharedMap.delete "user:1" userMap
79+
80+ -- Try to lookup deleted user
81+ maybeUser1 <- liftEffect $ SharedMap.lookup "user:1" userMap
82+ case maybeUser1 of
83+ Just _ -> log " ERROR: User still exists!"
84+ Nothing -> log " User successfully deleted"
85+
86+ log ""
87+ log "Done!"
88+
89+main :: Effect Unit
90+main = launchAff_ mapDemo
src/Examples/SharedStateDemo.pursnew file+84
@@ -0,0 +1,84 @@
1+module Examples.SharedStateDemo where
2+
3+import Prelude
4+
5+import Data.Maybe (Maybe(..))
6+import Effect (Effect)
7+import Effect.Aff (Aff, Milliseconds(..), delay, launchAff_)
8+import Effect.Class (liftEffect)
9+import Effect.Class.Console (log)
10+import Yoga.JSON as JSON
11+import Yoga.Om.WorkerBees.SharedState as SharedState
12+
13+type AppState =
14+ { counter :: Int
15+ , message :: String
16+ , isActive :: Boolean
17+ }
18+
19+-- | Console demo of SharedState (JSON-serialized shared state with spinlock)
20+-- |
21+-- | This demonstrates:
22+-- | - Creating shared state with JSON serialization
23+-- | - Reading and writing shared state
24+-- | - Atomic modify operations
25+-- | - Spinlock-based synchronization
26+stateDemo :: Aff Unit
27+stateDemo = do
28+ log "=== Shared State Demo ==="
29+ log ""
30+
31+ -- Create initial state
32+ let initialState :: AppState
33+ initialState =
34+ { counter: 0
35+ , message: "Hello"
36+ , isActive: true
37+ }
38+
39+ log "Creating shared state..."
40+ log $ "Initial state: " <> JSON.writeJSON initialState
41+
42+ -- Create shared state with 1KB buffer
43+ state <- liftEffect $ SharedState.new 1024 initialState
44+
45+ -- Read the state
46+ log ""
47+ log "Reading state..."
48+ currentState <- liftEffect $ SharedState.read state
49+ log $ "Current state: " <> JSON.writeJSON currentState
50+
51+ -- Modify the state atomically
52+ log ""
53+ log "Modifying state (increment counter, update message)..."
54+ _ <- liftEffect $ SharedState.modify state
55+ (\s -> s { counter = s.counter + 1, message = "Updated!" })
56+
57+ -- Read again
58+ newState <- liftEffect $ SharedState.read state
59+ log $ "New state: " <> JSON.writeJSON newState
60+
61+ -- Simulate concurrent modifications
62+ log ""
63+ log "Simulating concurrent modifications..."
64+
65+ let modifyLoop :: Int -> Effect Unit
66+ modifyLoop n = do
67+ _ <- SharedState.modify state \s ->
68+ s { counter = s.counter + 1 }
69+ when (n > 0) $ modifyLoop (n - 1)
70+
71+ -- Run 100 modifications
72+ liftEffect $ modifyLoop 100
73+
74+ -- Small delay to ensure all modifications complete
75+ delay (Milliseconds 10.0)
76+
77+ finalState <- liftEffect $ SharedState.read state
78+ log $ "After 100 modifications: " <> JSON.writeJSON finalState
79+
80+ log ""
81+ log "Done!"
82+
83+main :: Effect Unit
84+main = launchAff_ stateDemo
src/Examples/Workers/CounterWorker.pursnew file+28
@@ -0,0 +1,28 @@
1+module Examples.Workers.CounterWorker where
2+
3+import Prelude
4+
5+import Effect (Effect)
6+import Node.WorkerBees (SendWrapper)
7+import Node.WorkerBees as WB
8+import Yoga.Om.WorkerBees.SharedInt as SharedInt
9+
10+type CounterInput = { n :: Int }
11+type CounterOutput = { result :: Int, count :: Int }
12+
13+fibonacci :: Int -> Int
14+fibonacci n
15+ | n <= 1 = n
16+ | otherwise = fibonacci (n - 1) + fibonacci (n - 2)
17+
18+worker :: WB.WorkerContext (SendWrapper SharedInt.SharedInt) CounterInput CounterOutput -> Effect Unit
19+worker ctx = do
20+ let counter = SharedInt.fromSendable ctx.workerData
21+ ctx.receive \{ n } -> do
22+ let result = fibonacci n
23+ _ <- SharedInt.add counter 1
24+ count <- SharedInt.read counter
25+ ctx.reply { result, count }
26+
27+main :: Effect Unit
28+main = WB.makeAsMain worker
src/Examples/Workers/FibonacciWorker.pursnew file+31
@@ -0,0 +1,31 @@
1+module Examples.Workers.FibonacciWorker where
2+
3+import Prelude
4+
5+import Effect (Effect)
6+import Node.WorkerBees as WB
7+
8+-- | Input type for the worker
9+type FibInput = { n :: Int }
10+
11+-- | Output type for the worker
12+type FibOutput = { result :: Int, thread :: Int }
13+
14+-- | CPU-intensive Fibonacci calculation (intentionally inefficient for demo)
15+fibonacci :: Int -> Int
16+fibonacci n
17+ | n <= 1 = n
18+ | otherwise = fibonacci (n - 1) + fibonacci (n - 2)
19+
20+-- | Worker main function
21+-- | This receives inputs and sends back outputs
22+worker :: WB.WorkerContext Unit FibInput FibOutput -> Effect Unit
23+worker ctx = ctx.receive \{ n } -> do
24+ let result = fibonacci n
25+ -- Could get thread ID from ctx.threadId if needed
26+ ctx.reply { result, thread: 0 }
27+
28+-- | Entry point for the worker
29+-- | This must be the main function when bundled
30+main :: Effect Unit
31+main = WB.makeAsMain worker
src/Examples/Workers/HashWorker.pursnew file+42
@@ -0,0 +1,42 @@
1+module Examples.Workers.HashWorker where
2+
3+import Prelude
4+
5+import Data.Foldable (foldl)
6+import Data.String as String
7+import Data.String.CodeUnits as SCU
8+import Effect (Effect)
9+import Node.WorkerBees as WB
10+
11+-- | Input type for the worker
12+type HashInput = { text :: String, iterations :: Int }
13+
14+-- | Output type for the worker
15+type HashOutput = { hash :: String, length :: Int }
16+
17+-- | Simple hash function (for demonstration - not cryptographically secure!)
18+simpleHash :: String -> Int
19+simpleHash str = do
20+ let chars = SCU.toCharArray str
21+ foldl (\acc _ -> (acc * 31 + String.length str) `mod` 1000000007) 0 chars
22+
23+-- | CPU-intensive hash calculation with multiple iterations
24+computeHash :: String -> Int -> String
25+computeHash text iterations = do
26+ let
27+ go 0 current = current
28+ go n current = do
29+ let hashed = show (simpleHash current) <> current
30+ go (n - 1) hashed
31+ go iterations text
32+
33+-- | Worker main function
34+-- | This receives inputs and sends back outputs
35+worker :: WB.WorkerContext Unit HashInput HashOutput -> Effect Unit
36+worker ctx = ctx.receive \{ text, iterations } -> do
37+ let hash = computeHash text iterations
38+ ctx.reply { hash, length: String.length hash }
39+
40+-- | Entry point for the worker
41+main :: Effect Unit
42+main = WB.makeAsMain worker
src/Yoga/Om/WorkerBees.pursnew file+86
@@ -0,0 +1,86 @@
1+module Yoga.Om.WorkerBees
2+ ( WorkerPool
3+ , PoolConfig
4+ , defaultPoolConfig
5+ , makePool
6+ , makePoolWithData
7+ , terminatePool
8+ , distributeWork
9+ , module Exports
10+ , module SharedInt
11+ , module SharedState
12+ , module SharedMap
13+ ) where
14+
15+import Prelude
16+
17+import Control.Parallel (parTraverse)
18+import Data.Traversable (class Traversable)
19+import Node.WorkerBees (Worker, class Sendable) as Exports
20+import Node.WorkerBees as WB
21+import Node.WorkerBees.Aff.Pool as Pool
22+import Yoga.Om (Om)
23+import Yoga.Om as Om
24+import Yoga.Om.WorkerBees.SharedInt (SharedInt) as SharedInt
25+import Yoga.Om.WorkerBees.SharedState (SharedState) as SharedState
26+import Yoga.Om.WorkerBees.SharedMap (SharedMap) as SharedMap
27+
28+-- | Configuration for a worker pool
29+type PoolConfig =
30+ { numWorkers :: Int
31+ , workerPath :: String
32+ }
33+
34+-- | Default pool configuration (4 workers)
35+defaultPoolConfig :: String -> PoolConfig
36+defaultPoolConfig workerPath =
37+ { numWorkers: 4
38+ , workerPath
39+ }
40+
41+-- | Worker pool handle
42+type WorkerPool input output = Pool.WorkerPool input output
43+
44+-- | Create a worker pool. Must be paired with `terminatePool`.
45+makePool
46+ :: forall ctx errs input output
47+ . WB.Sendable input
48+ => WB.Sendable output
49+ => PoolConfig
50+ -> Om ctx errs (WorkerPool input output)
51+makePool config = Om.fromAff do
52+ let worker = WB.unsafeWorkerFromPath config.workerPath
53+ Pool.make worker unit config.numWorkers
54+
55+-- | Create a worker pool with shared data accessible to all workers via `workerData`.
56+makePoolWithData
57+ :: forall ctx errs input output a
58+ . WB.Sendable input
59+ => WB.Sendable output
60+ => WB.Sendable a
61+ => PoolConfig
62+ -> a
63+ -> Om ctx errs (WorkerPool input output)
64+makePoolWithData config workerData = Om.fromAff do
65+ let worker = WB.unsafeWorkerFromPath config.workerPath
66+ Pool.make worker workerData config.numWorkers
67+
68+-- | Terminate a worker pool and all its threads.
69+terminatePool
70+ :: forall ctx errs input output
71+ . WorkerPool input output
72+ -> Om ctx errs Unit
73+terminatePool pool = Om.fromAff do
74+ Pool.terminate pool
75+
76+-- | Distribute work across the worker pool in parallel.
77+-- | Each input is submitted to the pool and processed by the next available worker.
78+distributeWork
79+ :: forall ctx errs f input output
80+ . Traversable f
81+ => WB.Sendable input
82+ => WorkerPool input output
83+ -> f input
84+ -> Om ctx errs (f output)
85+distributeWork pool inputs = Om.fromAff do
86+ parTraverse (Pool.invoke pool) inputs
src/Yoga/Om/WorkerBees/Atomics.jsnew file+14
@@ -0,0 +1,14 @@
1+export const loadImpl = (arr, idx) => Atomics.load(arr, idx);
2+
3+export const storeImpl = (arr, idx, val) => Atomics.store(arr, idx, val);
4+
5+export const addImpl = (arr, idx, val) => Atomics.add(arr, idx, val);
6+
7+export const subImpl = (arr, idx, val) => Atomics.sub(arr, idx, val);
8+
9+export const exchangeImpl = (arr, idx, val) => Atomics.exchange(arr, idx, val);
10+
11+export const compareExchangeImpl = (arr, idx, expected, replacement) =>
12+ Atomics.compareExchange(arr, idx, expected, replacement);
13+
14+export const notifyImpl = (arr, idx, count) => Atomics.notify(arr, idx, count);
src/Yoga/Om/WorkerBees/Atomics.pursnew file+48
@@ -0,0 +1,48 @@
1+module Yoga.Om.WorkerBees.Atomics
2+ ( load
3+ , store
4+ , add
5+ , sub
6+ , exchange
7+ , compareExchange
8+ , notify
9+ ) where
10+
11+import Data.ArrayBuffer.Types (Int32Array)
12+import Effect (Effect)
13+import Effect.Uncurried (EffectFn2, EffectFn3, EffectFn4, runEffectFn2, runEffectFn3, runEffectFn4)
14+
15+foreign import loadImpl :: EffectFn2 Int32Array Int Int
16+
17+load :: Int32Array -> Int -> Effect Int
18+load = runEffectFn2 loadImpl
19+
20+foreign import storeImpl :: EffectFn3 Int32Array Int Int Int
21+
22+store :: Int32Array -> Int -> Int -> Effect Int
23+store = runEffectFn3 storeImpl
24+
25+foreign import addImpl :: EffectFn3 Int32Array Int Int Int
26+
27+add :: Int32Array -> Int -> Int -> Effect Int
28+add = runEffectFn3 addImpl
29+
30+foreign import subImpl :: EffectFn3 Int32Array Int Int Int
31+
32+sub :: Int32Array -> Int -> Int -> Effect Int
33+sub = runEffectFn3 subImpl
34+
35+foreign import exchangeImpl :: EffectFn3 Int32Array Int Int Int
36+
37+exchange :: Int32Array -> Int -> Int -> Effect Int
38+exchange = runEffectFn3 exchangeImpl
39+
40+foreign import compareExchangeImpl :: EffectFn4 Int32Array Int Int Int Int
41+
42+compareExchange :: Int32Array -> Int -> Int -> Int -> Effect Int
43+compareExchange = runEffectFn4 compareExchangeImpl
44+
45+foreign import notifyImpl :: EffectFn3 Int32Array Int Int Int
46+
47+notify :: Int32Array -> Int -> Int -> Effect Int
48+notify = runEffectFn3 notifyImpl
src/Yoga/Om/WorkerBees/SharedArrayBuffer.jsnew file+13
@@ -0,0 +1,13 @@
1+export const newImpl = (byteLength) => {
2+ return new SharedArrayBuffer(byteLength);
3+};
4+
5+export const byteLengthImpl = (sab) => sab.byteLength;
6+
7+export const toInt32ArrayImpl = (sab) => {
8+ return new Int32Array(sab);
9+};
10+
11+export const toInt32ArraySliceImpl = (sab, byteOffset, length) => {
12+ return new Int32Array(sab, byteOffset, length);
13+};
src/Yoga/Om/WorkerBees/SharedArrayBuffer.pursnew file+33
@@ -0,0 +1,33 @@
1+module Yoga.Om.WorkerBees.SharedArrayBuffer
2+ ( SharedArrayBuffer
3+ , new
4+ , byteLength
5+ , toInt32Array
6+ , toInt32ArraySlice
7+ ) where
8+
9+import Data.ArrayBuffer.Types (Int32Array)
10+import Effect (Effect)
11+import Effect.Uncurried (EffectFn1, EffectFn3, runEffectFn1, runEffectFn3)
12+
13+foreign import data SharedArrayBuffer :: Type
14+
15+foreign import newImpl :: EffectFn1 Int SharedArrayBuffer
16+
17+new :: Int -> Effect SharedArrayBuffer
18+new = runEffectFn1 newImpl
19+
20+foreign import byteLengthImpl :: SharedArrayBuffer -> Int
21+
22+byteLength :: SharedArrayBuffer -> Int
23+byteLength = byteLengthImpl
24+
25+foreign import toInt32ArrayImpl :: EffectFn1 SharedArrayBuffer Int32Array
26+
27+toInt32Array :: SharedArrayBuffer -> Effect Int32Array
28+toInt32Array = runEffectFn1 toInt32ArrayImpl
29+
30+foreign import toInt32ArraySliceImpl :: EffectFn3 SharedArrayBuffer Int Int Int32Array
31+
32+toInt32ArraySlice :: SharedArrayBuffer -> Int -> Int -> Effect Int32Array
33+toInt32ArraySlice = runEffectFn3 toInt32ArraySliceImpl
src/Yoga/Om/WorkerBees/SharedInt.pursnew file+75
@@ -0,0 +1,75 @@
1+module Yoga.Om.WorkerBees.SharedInt
2+ ( SharedInt
3+ , new
4+ , read
5+ , write
6+ , add
7+ , sub
8+ , compareAndSwap
9+ , modify
10+ , toSendable
11+ , fromSendable
12+ ) where
13+
14+import Prelude
15+
16+import Data.ArrayBuffer.Types (Int32Array)
17+import Effect (Effect)
18+import Node.WorkerBees (SendWrapper, unsafeWrap)
19+import Node.WorkerBees as WB
20+import Yoga.Om.WorkerBees.Atomics as Atomics
21+import Yoga.Om.WorkerBees.SharedArrayBuffer as SAB
22+
23+-- | An atomic integer reference backed by SharedArrayBuffer.
24+-- | Can be shared across worker threads via `toSendable`/`fromSendable`.
25+newtype SharedInt = SharedInt Int32Array
26+
27+-- | Create a new SharedInt initialized to the given value.
28+new :: Int -> Effect SharedInt
29+new initial = do
30+ sab <- SAB.new 4
31+ arr <- SAB.toInt32Array sab
32+ _ <- Atomics.store arr 0 initial
33+ pure (SharedInt arr)
34+
35+-- | Atomically read the current value.
36+read :: SharedInt -> Effect Int
37+read (SharedInt arr) = Atomics.load arr 0
38+
39+-- | Atomically write a new value.
40+write :: SharedInt -> Int -> Effect Unit
41+write (SharedInt arr) val = void $ Atomics.store arr 0 val
42+
43+-- | Atomically add to the current value. Returns the OLD value.
44+add :: SharedInt -> Int -> Effect Int
45+add (SharedInt arr) val = Atomics.add arr 0 val
46+
47+-- | Atomically subtract from the current value. Returns the OLD value.
48+sub :: SharedInt -> Int -> Effect Int
49+sub (SharedInt arr) val = Atomics.sub arr 0 val
50+
51+-- | Atomic compare-and-swap. If current value equals `expected`,
52+-- | replace with `replacement`. Returns the old value.
53+compareAndSwap :: SharedInt -> Int -> Int -> Effect Int
54+compareAndSwap (SharedInt arr) expected replacement =
55+ Atomics.compareExchange arr 0 expected replacement
56+
57+-- | Atomically modify the value using a CAS loop.
58+-- | Retries until the CAS succeeds.
59+modify :: SharedInt -> (Int -> Int) -> Effect Int
60+modify ref f = go
61+ where
62+ go = do
63+ current <- read ref
64+ let next = f current
65+ old <- compareAndSwap ref current next
66+ if old == current then pure next
67+ else go
68+
69+-- | Wrap for sending to a worker thread.
70+toSendable :: SharedInt -> SendWrapper SharedInt
71+toSendable = unsafeWrap
72+
73+-- | Unwrap after receiving on a worker thread.
74+fromSendable :: SendWrapper SharedInt -> SharedInt
75+fromSendable = WB.unwrap
src/Yoga/Om/WorkerBees/SharedMap.jsnew file+37
@@ -0,0 +1,37 @@
1+const encoder = new TextEncoder();
2+const decoder = new TextDecoder();
3+
4+// DJB2 hash: string -> segment index
5+export const hashKeyImpl = (key, numSegments) => {
6+ let hash = 5381;
7+ for (let i = 0; i < key.length; i++) {
8+ hash = ((hash << 5) + hash + key.charCodeAt(i)) | 0;
9+ }
10+ return (hash >>> 0) % numSegments;
11+};
12+
13+// Write JSON string at a byte offset in the SharedArrayBuffer
14+// Returns the byte length written
15+export const writeSegmentDataImpl = (sab, byteOffset, json) => {
16+ const bytes = encoder.encode(json);
17+ const target = new Uint8Array(sab, byteOffset, bytes.byteLength);
18+ target.set(bytes);
19+ return bytes.byteLength;
20+};
21+
22+// Read JSON string from a byte offset in the SharedArrayBuffer
23+export const readSegmentDataImpl = (sab, byteOffset, len) => {
24+ const source = new Uint8Array(sab, byteOffset, len);
25+ return decoder.decode(source);
26+};
27+
28+// Read an Int32 at a byte offset (for reading header in fromSendable)
29+export const readInt32Impl = (sab, byteOffset) => {
30+ const view = new Int32Array(sab, byteOffset, 1);
31+ return view[0];
32+};
33+
34+// Get UTF-8 byte length of a string (for overflow check before writing)
35+export const stringByteLengthImpl = (str) => {
36+ return encoder.encode(str).byteLength;
37+};
src/Yoga/Om/WorkerBees/SharedMap.pursnew file+191
@@ -0,0 +1,191 @@
1+module Yoga.Om.WorkerBees.SharedMap
2+ ( SharedMap
3+ , new
4+ , lookup
5+ , insert
6+ , delete
7+ , modify
8+ , toSendable
9+ , fromSendable
10+ ) where
11+
12+import Prelude
13+
14+import Data.Array as Array
15+import Data.ArrayBuffer.Types (Int32Array)
16+import Data.Function.Uncurried (Fn1, Fn2, runFn1, runFn2)
17+import Data.Maybe (Maybe(..))
18+import Data.Traversable (for)
19+import Data.Either (Either(..))
20+import Effect (Effect)
21+import Effect.Exception (throw, throwException, try)
22+import Effect.Uncurried (EffectFn2, EffectFn3, runEffectFn2, runEffectFn3)
23+import Foreign.Object as FObject
24+import Partial.Unsafe (unsafeCrashWith)
25+import Node.WorkerBees (SendWrapper, unsafeWrap)
26+import Node.WorkerBees as WB
27+import Yoga.JSON (class ReadForeign, class WriteForeign, readJSON_, writeJSON)
28+import Yoga.Om.WorkerBees.Atomics as Atomics
29+import Yoga.Om.WorkerBees.SharedArrayBuffer as SAB
30+import Yoga.Om.WorkerBees.SharedArrayBuffer (SharedArrayBuffer)
31+
32+-- | Memory layout:
33+-- | Bytes 0-3: numSegments (Int32)
34+-- | Bytes 4-7: maxBytesPerSegment (Int32)
35+-- | Then N segments, each: [lock: 4B] [len: 4B] [JSON data: maxBytesPerSegment]
36+
37+type Segment =
38+ { lock :: Int32Array
39+ , lenSlot :: Int32Array
40+ , dataOffset :: Int
41+ }
42+
43+-- | A shared concurrent map backed by SharedArrayBuffer with striped locks.
44+-- | Keys are Strings, values must be JSON-serializable.
45+-- | The keyspace is split into N segments for N-way concurrency.
46+newtype SharedMap :: Type -> Type
47+newtype SharedMap a = SharedMap
48+ { sab :: SharedArrayBuffer
49+ , numSegments :: Int
50+ , maxBytesPerSegment :: Int
51+ , segments :: Array Segment
52+ }
53+
54+headerBytes :: Int
55+headerBytes = 8
56+
57+segmentHeaderBytes :: Int
58+segmentHeaderBytes = 8
59+
60+-- | Create a new empty SharedMap.
61+-- | `numSegments` controls concurrency (e.g., 16 or 64).
62+-- | `maxBytesPerSegment` is the max JSON size per segment.
63+new :: forall a. Int -> Int -> Effect (SharedMap a)
64+new numSegments maxBytesPerSegment = do
65+ let segmentSize = segmentHeaderBytes + maxBytesPerSegment
66+ let totalBytes = headerBytes + numSegments * segmentSize
67+ sab <- SAB.new totalBytes
68+ -- Write header (use Int32Array view over first 8 bytes)
69+ headerView <- SAB.toInt32ArraySlice sab 0 2
70+ _ <- Atomics.store headerView 0 numSegments
71+ _ <- Atomics.store headerView 1 maxBytesPerSegment
72+ -- Initialize segments with empty objects
73+ segments <- for (Array.range 0 (numSegments - 1)) \i -> do
74+ let base = headerBytes + i * segmentSize
75+ lock <- SAB.toInt32ArraySlice sab base 1
76+ lenSlot <- SAB.toInt32ArraySlice sab (base + 4) 1
77+ let dataOffset = base + segmentHeaderBytes
78+ let json = "{}"
79+ len <- runEffectFn3 writeSegmentDataImpl sab dataOffset json
80+ _ <- Atomics.store lenSlot 0 len
81+ pure { lock, lenSlot, dataOffset }
82+ pure (SharedMap { sab, numSegments, maxBytesPerSegment, segments })
83+
84+-- | Look up a key. Returns Nothing if not found.
85+lookup :: forall a. ReadForeign a => String -> SharedMap a -> Effect (Maybe a)
86+lookup key m = do
87+ let seg = segmentFor key m
88+ withLock seg do
89+ obj <- readSegment m seg
90+ pure (FObject.lookup key obj)
91+
92+-- | Insert or overwrite a key-value pair.
93+insert :: forall a. ReadForeign a => WriteForeign a => String -> a -> SharedMap a -> Effect Unit
94+insert key val m = do
95+ let seg = segmentFor key m
96+ withLock seg do
97+ obj <- readSegment m seg
98+ writeSegment m seg (FObject.insert key val obj)
99+
100+-- | Delete a key. No-op if key doesn't exist.
101+delete :: forall a. ReadForeign a => WriteForeign a => String -> SharedMap a -> Effect Unit
102+delete key m = do
103+ let seg = segmentFor key m
104+ withLock seg do
105+ obj <- readSegment m seg
106+ writeSegment m seg (FObject.delete key obj)
107+
108+-- | Atomically modify the value at a key. Returns the new value, or Nothing if not found.
109+modify :: forall a. ReadForeign a => WriteForeign a => String -> (a -> a) -> SharedMap a -> Effect (Maybe a)
110+modify key f m = do
111+ let seg = segmentFor key m
112+ withLock seg do
113+ obj <- readSegment m seg
114+ case FObject.lookup key obj of
115+ Nothing -> pure Nothing
116+ Just val -> do
117+ let next = f val
118+ writeSegment m seg (FObject.insert key next obj)
119+ pure (Just next)
120+
121+-- | Wrap for worker transfer.
122+toSendable :: forall a. SharedMap a -> SendWrapper (SharedMap a)
123+toSendable = unsafeWrap
124+
125+-- | Unwrap on the worker side. Reconstructs Int32Array views from the shared buffer.
126+fromSendable :: forall a. SendWrapper (SharedMap a) -> Effect (SharedMap a)
127+fromSendable sw = do
128+ let (SharedMap s) = WB.unwrap sw
129+ ns <- runEffectFn2 readInt32Impl s.sab 0
130+ mbs <- runEffectFn2 readInt32Impl s.sab 4
131+ let segmentSize = segmentHeaderBytes + mbs
132+ segments <- for (Array.range 0 (ns - 1)) \i -> do
133+ let base = headerBytes + i * segmentSize
134+ lock <- SAB.toInt32ArraySlice s.sab base 1
135+ lenSlot <- SAB.toInt32ArraySlice s.sab (base + 4) 1
136+ let dataOffset = base + segmentHeaderBytes
137+ pure { lock, lenSlot, dataOffset }
138+ pure (SharedMap { sab: s.sab, numSegments: ns, maxBytesPerSegment: mbs, segments })
139+
140+-- Internal helpers
141+
142+segmentFor :: forall a. String -> SharedMap a -> Segment
143+segmentFor key (SharedMap { numSegments, segments }) = do
144+ let idx = runFn2 hashKeyImpl key numSegments
145+ case Array.index segments idx of
146+ Just seg -> seg
147+ Nothing -> unsafeCrashWith "SharedMap: hash out of range"
148+
149+withLock :: forall a. Segment -> Effect a -> Effect a
150+withLock seg action = do
151+ acquireLock seg
152+ result <- try action
153+ releaseLock seg
154+ case result of
155+ Right val -> pure val
156+ Left err -> throwException err
157+
158+acquireLock :: Segment -> Effect Unit
159+acquireLock { lock } = go
160+ where
161+ go = do
162+ old <- Atomics.compareExchange lock 0 0 1
163+ when (old /= 0) go
164+
165+releaseLock :: Segment -> Effect Unit
166+releaseLock { lock } = void $ Atomics.store lock 0 0
167+
168+readSegment :: forall a. ReadForeign a => SharedMap a -> Segment -> Effect (FObject.Object a)
169+readSegment (SharedMap { sab }) { lenSlot, dataOffset } = do
170+ len <- Atomics.load lenSlot 0
171+ json <- runEffectFn3 readSegmentDataImpl sab dataOffset len
172+ case readJSON_ json of
173+ Just obj -> pure obj
174+ Nothing -> throw "SharedMap: failed to deserialize segment"
175+
176+writeSegment :: forall a. WriteForeign a => SharedMap a -> Segment -> FObject.Object a -> Effect Unit
177+writeSegment (SharedMap { sab, maxBytesPerSegment }) { lenSlot, dataOffset } obj = do
178+ let json = writeJSON obj
179+ let len = runFn1 stringByteLengthImpl json
180+ when (len > maxBytesPerSegment) do
181+ throw "SharedMap: segment data exceeds maxBytesPerSegment"
182+ _ <- runEffectFn3 writeSegmentDataImpl sab dataOffset json
183+ void $ Atomics.store lenSlot 0 len
184+
185+-- FFI
186+
187+foreign import hashKeyImpl :: Fn2 String Int Int
188+foreign import writeSegmentDataImpl :: EffectFn3 SharedArrayBuffer Int String Int
189+foreign import readSegmentDataImpl :: EffectFn3 SharedArrayBuffer Int Int String
190+foreign import readInt32Impl :: EffectFn2 SharedArrayBuffer Int Int
191+foreign import stringByteLengthImpl :: Fn1 String Int
src/Yoga/Om/WorkerBees/SharedState.jsnew file+16
@@ -0,0 +1,16 @@
1+const encoder = new TextEncoder();
2+const decoder = new TextDecoder();
3+
4+// Write a JSON string into the SharedArrayBuffer starting at byte offset 8
5+export const writeDataImpl = (sab, jsonStr) => {
6+ const bytes = encoder.encode(jsonStr);
7+ const target = new Uint8Array(sab, 8, bytes.byteLength);
8+ target.set(bytes);
9+ return bytes.byteLength;
10+};
11+
12+// Read a JSON string from the SharedArrayBuffer starting at byte offset 8
13+export const readDataImpl = (sab, byteLength) => {
14+ const source = new Uint8Array(sab, 8, byteLength);
15+ return decoder.decode(source);
16+};
src/Yoga/Om/WorkerBees/SharedState.pursnew file+124
@@ -0,0 +1,124 @@
1+module Yoga.Om.WorkerBees.SharedState
2+ ( SharedState
3+ , new
4+ , read
5+ , write
6+ , modify
7+ , toSendable
8+ , fromSendable
9+ ) where
10+
11+import Prelude
12+
13+import Data.ArrayBuffer.Types (Int32Array)
14+import Data.Either (Either(..))
15+import Data.Maybe (Maybe(..))
16+import Effect (Effect)
17+import Effect.Exception (throw, throwException, try)
18+import Effect.Uncurried (EffectFn2, runEffectFn2)
19+import Node.WorkerBees (SendWrapper, unsafeWrap)
20+import Node.WorkerBees as WB
21+import Yoga.JSON (class ReadForeign, class WriteForeign, readJSON_, writeJSON)
22+import Yoga.Om.WorkerBees.Atomics as Atomics
23+import Yoga.Om.WorkerBees.SharedArrayBuffer as SAB
24+import Yoga.Om.WorkerBees.SharedArrayBuffer (SharedArrayBuffer)
25+
26+-- | Buffer layout:
27+-- | - Int32 slot 0 (bytes 0..3): mutex lock (0 = unlocked, 1 = locked)
28+-- | - Int32 slot 1 (bytes 4..7): data length in bytes
29+-- | - Bytes 8..N: UTF-8 encoded JSON string
30+
31+-- | A shared mutable state that can be accessed from multiple worker threads.
32+-- | Values are JSON-serialized into a SharedArrayBuffer with a spinlock mutex.
33+newtype SharedState :: Type -> Type
34+newtype SharedState a = SharedState
35+ { lock :: Int32Array
36+ , lenSlot :: Int32Array
37+ , sab :: SharedArrayBuffer
38+ , maxBytes :: Int
39+ }
40+
41+-- | Create a new SharedState with an initial value.
42+-- | `maxBytes` is the maximum size for the serialized JSON data.
43+new :: forall a. WriteForeign a => Int -> a -> Effect (SharedState a)
44+new maxBytes initial = do
45+ let totalBytes = 8 + maxBytes
46+ sab <- SAB.new totalBytes
47+ lock <- SAB.toInt32ArraySlice sab 0 1
48+ lenSlot <- SAB.toInt32ArraySlice sab 4 1
49+ let json = writeJSON initial
50+ len <- runEffectFn2 writeDataImpl sab json
51+ _ <- Atomics.store lenSlot 0 len
52+ pure (SharedState { lock, lenSlot, sab, maxBytes })
53+
54+-- | Atomically read the current state.
55+read :: forall a. ReadForeign a => SharedState a -> Effect a
56+read state = withLock state do
57+ readData state
58+
59+-- | Atomically write a new state value.
60+write :: forall a. WriteForeign a => SharedState a -> a -> Effect Unit
61+write state val = withLock state do
62+ writeData state val
63+
64+-- | Atomically modify the state. Returns the new value.
65+modify :: forall a. ReadForeign a => WriteForeign a => SharedState a -> (a -> a) -> Effect a
66+modify state f = withLock state do
67+ current <- readData state
68+ let next = f current
69+ writeData state next
70+ pure next
71+
72+-- | Wrap for worker transfer. The underlying SharedArrayBuffer is shared.
73+toSendable :: forall a. SharedState a -> SendWrapper (SharedState a)
74+toSendable = unsafeWrap
75+
76+-- | Unwrap on the worker side. Reconstructs Int32Array views from the shared buffer.
77+fromSendable :: forall a. SendWrapper (SharedState a) -> Effect (SharedState a)
78+fromSendable sw = do
79+ let (SharedState s) = WB.unwrap sw
80+ lock <- SAB.toInt32ArraySlice s.sab 0 1
81+ lenSlot <- SAB.toInt32ArraySlice s.sab 4 1
82+ pure (SharedState { lock, lenSlot, sab: s.sab, maxBytes: s.maxBytes })
83+
84+-- Internal: spinlock
85+
86+withLock :: forall a b. SharedState a -> Effect b -> Effect b
87+withLock state action = do
88+ acquireLock state
89+ result <- try action
90+ releaseLock state
91+ case result of
92+ Right val -> pure val
93+ Left err -> throwException err
94+
95+acquireLock :: forall a. SharedState a -> Effect Unit
96+acquireLock (SharedState { lock }) = go
97+ where
98+ go = do
99+ old <- Atomics.compareExchange lock 0 0 1
100+ when (old /= 0) go
101+
102+releaseLock :: forall a. SharedState a -> Effect Unit
103+releaseLock (SharedState { lock }) = void $ Atomics.store lock 0 0
104+
105+-- Internal: data read/write (must hold lock)
106+
107+writeData :: forall a. WriteForeign a => SharedState a -> a -> Effect Unit
108+writeData (SharedState { sab, lenSlot }) val = do
109+ let json = writeJSON val
110+ len <- runEffectFn2 writeDataImpl sab json
111+ void $ Atomics.store lenSlot 0 len
112+
113+readData :: forall a. ReadForeign a => SharedState a -> Effect a
114+readData (SharedState { sab, lenSlot }) = do
115+ len <- Atomics.load lenSlot 0
116+ json <- runEffectFn2 readDataImpl sab len
117+ case readJSON_ json of
118+ Just val -> pure val
119+ Nothing -> throw "SharedState: failed to deserialize"
120+
121+-- FFI
122+
123+foreign import writeDataImpl :: EffectFn2 SharedArrayBuffer String Int
124+foreign import readDataImpl :: EffectFn2 SharedArrayBuffer Int String