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FastAPIframework~8 mins

Streaming responses in FastAPI - Performance & Optimization

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Performance: Streaming responses
MEDIUM IMPACT
Streaming responses affect how quickly the user starts receiving data and how smoothly the content loads over time.
Sending large data or long processing results to the client
FastAPI
from fastapi import FastAPI
from fastapi.responses import StreamingResponse
import asyncio

app = FastAPI()

async def data_generator():
    for i in range(10):
        yield f'data chunk {i}\n'
        await asyncio.sleep(0.1)

@app.get('/stream')
async def stream_data():
    return StreamingResponse(data_generator(), media_type='text/plain')
Sends data chunks as soon as they are ready, allowing the browser to start rendering early.
📈 Performance GainReduces LCP by delivering first bytes immediately, improving user experience.
Sending large data or long processing results to the client
FastAPI
from fastapi import FastAPI
app = FastAPI()

@app.get('/data')
async def get_data():
    result = compute_large_data()
    return result
The server waits to finish all processing before sending any data, delaying the first byte to the client.
📉 Performance CostBlocks rendering until full data is ready, increasing LCP by hundreds of milliseconds or more.
Performance Comparison
PatternDOM OperationsReflowsPaint CostVerdict
Full response after processingSingle DOM update after full dataSingle reflow after full loadOne large paint[X] Bad
Streaming response with chunksIncremental DOM updates as chunks arriveMultiple small reflowsMultiple small paints[OK] Good
Rendering Pipeline
Streaming responses send partial data progressively, allowing the browser to start parsing and rendering before the full response arrives.
Network
HTML Parsing
Rendering
⚠️ BottleneckNetwork latency and server processing before first chunk
Core Web Vital Affected
LCP
Streaming responses affect how quickly the user starts receiving data and how smoothly the content loads over time.
Optimization Tips
1Use StreamingResponse to send data chunks as soon as they are ready.
2Avoid waiting for full data before responding to reduce LCP.
3Test streaming endpoints in DevTools Network tab to verify chunked delivery.
Performance Quiz - 3 Questions
Test your performance knowledge
How do streaming responses affect Largest Contentful Paint (LCP)?
AIt improves LCP by sending data chunks early so content appears faster.
BIt worsens LCP because it delays sending the full content.
CIt has no effect on LCP since content is the same.
DIt only affects interaction responsiveness, not LCP.
DevTools: Network
How to check: Open DevTools, go to Network tab, reload the streaming endpoint, and observe the timing waterfall for incremental data chunks.
What to look for: Look for early 'First Byte' and multiple small data packets arriving over time indicating streaming.