kostovasandra opened a new issue, #38032:
URL: https://github.com/apache/arrow/issues/38032
### Describe the bug, including details regarding any error messages,
version, and platform.
I have been using the read_parquet() function to read a file (compressed /
uncompressed) from S3, but its too slow (700MB file to be read takes 10m). I
tried setting the params: arrow::set_cpu_count(2) & arrow.use_threads = FALSE,
but still is slow.
For writing the same file it takes 1-2m which still is not the best.
Bellow is the code:
s3_init <- function(){
env = Sys.getenv(c("ECS_ACCESS_KEY_ID",
"ECS_SECRET_ACCESS_KEY","ECS_S3_ENDPOINT_URL", "ECS_S3_BUCKET"))
bucket <- arrow::s3_bucket(env["ECS_S3_BUCKET"],
access_key=env["ECS_ACCESS_KEY_ID"],
secret_key=env["ECS_SECRET_ACCESS_KEY"],
endpoint_override=env["ECS_S3_ENDPOINT_URL"],
region = '')
return(bucket)
}
s3_save_rds <- function(file,s3_path){
bucket = s3_init()
write_parquet(file, bucket$path(s3_path), compression = "gzip")
}
s3_read_rds <- function(s3_path){
bucket = s3_init()
file = read_parquet(bucket$path(s3_path))
return(file)
}
### Component(s)
R
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