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# ask-for-help
s
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m
I have no idea what kind of payload you’re dealing with, but I’ll say that I’ve had good success with using parquet (rather than JSON) for passing in a large payload of tabular data (a DataFrame). (DataFrame -> Parquet -> DataFrame) is much faster than (DataFrame -> JSON -> DataFrame).
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s
gotcha, will give that a try
s
@Shiva Charan Velichala are you still converting JSON to Numpy for your input?
Could you please also share the absolute latency numbers, both inference latency and serialization latency?
j
Using json as an intermediate data format for large dataframes would theoretically lead to conversions that consume very many resources and are slow.
So we'd better avoid such an architecture.