Hi Ravi,
Please read the ?future documentation, the answers to all your
questions are explained there.
Best,
Ista
On Thu, May 21, 2020 at 3:20 PM Ravi Jeyaraman <rav...@gmail.com> wrote:
>
> Dear Friends,
>
>
>
> I'm trying to run a bunch of tasks in parallel using 'Future' package and
> for some reason, it's not able to find the data frames that I want it to
> find. I've created the below sample program to show what I'm doing. Should
> I be exporting the Global data to each child process? I am not doing that
> currently because I read somewhere that it's automatically done when using
> the multisession plan. Any idea what I'm doing wrong?
>
>
>
> Thanks
>
> Ravi
>
>
>
>
>
> if(!require('sqldf')) install.packages('sqldf')
>
> if(!require('future')) install.packages('future')
>
> if(!require('doFuture')) install.packages('doFuture')
>
> if(!require('future.apply')) install.packages('future.apply')
>
>
>
> library('sqldf')
>
> library('future')
>
> library("doFuture")
>
> library("future.apply")
>
>
>
> registerDoFuture()
>
> plan(multisession, globals = TRUE, workers=5)
>
> options(future.globals.maxSize=+Inf)
>
>
>
> DATA_ASIA <- data.frame(c('NAME1', 'NAME2'))
>
> DATA_EUROPE <- data.frame(c('NAME1', 'NAME2', 'NAME3'))
>
> DATA_USA <- data.frame(c('NAME1', 'NAME2', 'NAME3', 'NAME4'))
>
> DATA_AFRICA <- data.frame(c('NAME1'))
>
>
>
> LEVEL <- c('ASIA_LEVEL', 'EUROPE_LEVEL', 'USA_LEVEL', 'AFRICA_LEVEL')
>
> R_PROG <- c('SELECT COUNT(*) as COUNT FROM DATA_ASIA',
>
> 'SELECT COUNT(*) as COUNT FROM DATA_EUROPE',
>
> 'SELECT COUNT(*) as COUNT FROM DATA_USA',
>
> 'SELECT COUNT(*) as COUNT FROM DATA_AFRICA')
>
>
>
> RULES_ALL <- data.frame(LEVEL, R_PROG)
>
>
>
> RULES_ASIA <- subset(RULES_ALL, LEVEL == 'ASIA_LEVEL')
>
> RESULT_ASIA <- future(data.table::rbindlist(lapply(1:nrow(RULES_ASIA),
> function(x) sqldf(RULES_ASIA$R_PROG[x])), use.names = TRUE, fill=TRUE))
>
>
>
> RULES_EUROPE <- subset(RULES_ALL, LEVEL == 'EUROPE_LEVEL')
>
> RESULT_EUROPE <- future(data.table::rbindlist(lapply(1:nrow(RULES_EUROPE),
> function(x) sqldf(RULES_EUROPE$R_PROG[x])), use.names = TRUE, fill=TRUE))
>
>
>
> RULES_USA <- subset(RULES_ALL, LEVEL == 'USA_LEVEL')
>
> RESULT_USA <- future(data.table::rbindlist(lapply(1:nrow(RULES_USA),
> function(x) sqldf(RULES_USA$R_PROG[x])), use.names = TRUE, fill=TRUE))
>
>
>
> RULES_AFRICA <- subset(RULES_ALL, LEVEL == 'AFRICA_LEVEL')
>
> RESULTS_AFRICA <- future(data.table::rbindlist(lapply(1:nrow(RULES_AFRICA),
> function(x) sqldf(RULES_AFRICA$R_PROG[x])), use.names = TRUE, fill=TRUE))
>
>
>
> RESULT_ASIA <- value(RESULT_ASIA)
>
> RESULT_EUROPE <- value(RESULT_EUROPE)
>
> RESULT_USA <- value(RESULT_USA)
>
> RESULTS_AFRICA <- value(RESULTS_AFRICA)
>
>
>
>
>
>
>
>
>
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