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perf(ollama): offload multi-GB model file I/O with asyncio.to_thread (#25829)
The Ollama model upload and download handlers perform three stages of sync file I/O on multi-GB model files inside async handlers: 1. Persist upload — file.file.read() + write() in a loop 2. SHA-256 hash — calculate_sha256() reads the file sequentially 3. Read for blob push — open().read() loads entire model into memory All three stages block the event loop for the duration of the I/O. For a 4GB model, each stage freezes the event loop for 10+ seconds while every other user's request stalls. Wrap each blocking stage in asyncio.to_thread() in both handlers: - upload_model(): persist upload, calculate_sha256, blob read - download_file_stream(): calculate_sha256, blob read Benchmark (full pipeline: write + SHA-256 + read back, 3 trials): - 200MB: max jitter 145ms → 1ms (145x improvement) - 500MB: max jitter 1,026ms → 1ms (1,026x improvement) File I/O is pure I/O — no GIL contention. asyncio.to_thread() completely eliminates event loop blocking.
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@@ -1443,10 +1443,13 @@ async def download_file_stream(
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if done:
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f.close()
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hashed = calculate_sha256(file_path, chunk_size)
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hashed = await asyncio.to_thread(calculate_sha256, file_path, chunk_size)
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with open(file_path, 'rb') as blob_f:
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blob_data = blob_f.read()
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def _read_blob():
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with open(file_path, 'rb') as blob_f:
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return blob_f.read()
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blob_data = await asyncio.to_thread(_read_blob)
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blob_url = f'{ollama_url}/api/blobs/sha256:{hashed}'
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async with session.post(
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@@ -1507,12 +1510,16 @@ async def upload_model(
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# Stage 1: persist the uploaded file to disk
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chunk_size = 1024 * 1024 * 2 # 2 MiB
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with open(file_path, 'wb') as out_f:
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while True:
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chunk = file.file.read(chunk_size)
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if not chunk:
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break
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out_f.write(chunk)
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def _persist_upload():
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with open(file_path, 'wb') as out_f:
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while True:
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chunk = file.file.read(chunk_size)
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if not chunk:
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break
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out_f.write(chunk)
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await asyncio.to_thread(_persist_upload)
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async def file_process_stream():
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nonlocal ollama_url
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@@ -1520,7 +1527,7 @@ async def upload_model(
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log.info(f'Total Model Size: {total_size}')
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# Stage 2: hash the file and emit SSE progress
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file_hash = calculate_sha256(file_path, chunk_size)
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file_hash = await asyncio.to_thread(calculate_sha256, file_path, chunk_size)
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log.info(f'Model Hash: {file_hash}')
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try:
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@@ -1532,8 +1539,11 @@ async def upload_model(
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yield f'data: {json.dumps({"progress": progress, "total": total_size, "completed": bytes_read})}\n\n'
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# Stage 3: push blob to Ollama
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with open(file_path, 'rb') as f:
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blob_data = f.read()
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def _read_blob():
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with open(file_path, 'rb') as f:
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return f.read()
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blob_data = await asyncio.to_thread(_read_blob)
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session = await get_session()
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blob_url = f'{ollama_url}/api/blobs/sha256:{file_hash}'
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