`compute()`

Runs a future computation and returns its result as an actual Julia value

compute(future; destroy = [])

Description

Banyan is a suite of libraries with functions for processing big data. These functions operate on and return futures. To convert a future into an actual Julia value, you may either compute it for an exact result or sample it for an approximation.

Required Parameters

`future` (`Future`)

The future to compute.

`destroy` (`Vector{Future}`)

Futures to mark as destroyed so that they don't get saved to disk (saving to disk can be very time-consuming).

Returns (`Any`)

The Julia value that results from computing the future.

Example Usage

df = read_parquet("s3://inventory/availability.parquet")
df_filtered = filter(row -> row.availability < 3, df)
println(compute(df_filtered))

compute()