aborting the execution of a function...

You could write a function that returns an environment (or list if you
prefer) containing the results collected before the interrupt by using
tryCatch(interrupt=...).  E.g.,

doMany <- function(names) {
    resultEnv <- new.env(parent=emptyenv())
    tryCatch(
        for(name in names) resultEnv[[name]] <- Sys.sleep(1), # replace
Sys.sleep(1) by getStuffFromWeb(name)
        interrupt = function(e) NULL)
    resultEnv
}

Use it as

system.time(e <- doMany(state.name)) # hit Esc or ^C after a few seconds

^C   user  system elapsed
  0.001   0.000   4.390

names(e)

[1] "Alabama"  "Alaska"   "Arizona"  "Arkansas"

eapply(e, identity)

$Alabama
NULL

$Alaska
NULL

$Arizona
NULL

$Arkansas
NULL

-Bill

On Wed, Jul 13, 2022 at 12:20 PM akshay kulkarni <akshay_e4 at hotmail.com>
wrote:

Dear members,
                         I am running a large scraping code in a very
powerful AWS ec2 instance:

DATES <- getFirms Dates()

It iterates over 500 stocks from a website. Despite the power of the
machine, the execution is very slow.

If I abort the function (by ctrl + C), after, say 150th iteration, the
DATES object will still contain the scraped data untill the 150th
iteration, right? ( The rest of the 350 entries will be NA's, I suppose).

Many thanks in advance.....

Yours sincerely,
AKSHAY M KULKARNI



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