<@ULVA73B9P>: How could I estimate the parameters ...
# ask-marvin
j
@Marvin: How could I estimate the parameters size, so I could keep it under the 512kb limit?
m
thought for 63.7 seconds
n
fwiw i would suggest that if you're close, you should probably be passing a reference to whatever is so large
m
Great question. The safest way is to measure the size of your parameters after JSON serialization (the way they’re sent to Prefect’s API). In practice: - Use orjson if you can (it’s what FastAPI/Prefect commonly use under the hood) and count the bytes - Otherwise, use the standard json module with compact separators and UTF‑8 encoding Here’s a small helper you can use anywhere you assemble your params (before submitting the flow run or deployment):
Copy code
def estimate_param_size_bytes(params, prefer_orjson=True):
    try:
        if prefer_orjson:
            import orjson
            return len(orjson.dumps(params))
    except Exception:
        pass

    import json
    # compact separators minimize size; ensure_ascii=False keeps UTF-8 efficient
    payload = json.dumps(params, separators=(",", ":"), ensure_ascii=False).encode("utf-8")
    return len(payload)

def estimate_param_size_kb(params):
    return estimate_param_size_bytes(params) / 1024

# Example
params = {
    "small_flag": True,
    "names": ["alice", "bob"],
    # ... your params ...
}
size_kb = estimate_param_size_kb(params)
print(f"Estimated serialized size: {size_kb:.2f} KiB")
Tips to stay under 512 KiB: - Pass references, not data: upload large payloads (dataframes, long lists, models) to object storage (S3/GCS/Azure) and pass a URI or key instead. - Avoid base64 unless you also compress: base64 adds ~33% overhead. If you must embed data, compress first (e.g., zlib) and then base64. - Remove whitespace and redundant fields; prefer compact strings and IDs over verbose structures. - Keep a margin (e.g., target < 450 KiB) to account for small overhead around the parameters in the request. If you can share: - Where the 512 KiB limit is coming from in your setup (e.g., Cloud vs. self-hosted, worker type like Docker/Kubernetes/ECS) - An example structure of your parameters …I can tailor more specific guidance (and suggest storage/block patterns that fit your worker/platform).
j
That is a good point, thank you! I’m wanting to verify the size, as I’m a little suspicious.
Most likely will go with that though