Carl Boettiger created ARROW-17597:
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Summary: [R] Why is read_csv_arrow so much slower when using S3
path notation?
Key: ARROW-17597
URL: https://issues.apache.org/jira/browse/ARROW-17597
Project: Apache Arrow
Issue Type: Bug
Components: R
Reporter: Carl Boettiger
Consider these two mechanisms for reading from a public bucket. I was struck
to see that using S3 path notation was consistently over 20 times slower than
using the https address directly. I could imagine a small overhead for using
S3, but compared to other operations this seems something weird is going on
here:
{code:java}
library(arrow)
targe <- s3_bucket("neon4cast-targets",
endpoint_override="data.ecoforecast.org", anonymous=TRUE)
bench::bench_time({ # 58.6 seconds
ex1 <-
read_csv_arrow(targe$path("terrestrial_30min/terrestrial_30min-targets.csv.gz"))
})
bench::bench_time({ # 2.7 sec
ex2 <-
read_csv_arrow("https://data.ecoforecast.org/neon4cast-targets/terrestrial_30min/terrestrial_30min-targets.csv.gz";)
})
{code}
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