RevGeo RAM issue

[Ekibe]

Thank you for the package! It is perfect for what I am trying to do.

I am using your revgeo package on about 15,000 records.

When running the package by itself:
city_per_rec <- revgeo(NRM$lon[i], NRM$lat[i], provider = 'photon', API = NULL, output = 'frame', item = 'city’)

I get through about 1000 records and it hangs up. I first thought it was photon throttling but later realized it was not. I now believe it is a RAM issue so I wrote a separate rscript:
##Library
library(rstudioapi)
library(revgeo)

##Load iteration
load('iter.RData’)

##City Reverse Geocoding
for (j in 1:a)
{
for (i in (b+1):(b+100))
{
if (!is.na(NRM$TOWN[i]) && !is.na(NRM$LONGITUDE))
{
city_per_rec <- revgeo(NRM$lon[i], NRM$lat[i], provider = 'photon', API = NULL, output = 'frame', item = 'city’)
NRM$ChCity[i] <- toupper(as.character(city_per_rec$city))
rm(city_per_rec)
}
}
b <- (b+100)
gc()
print('Taking a Break!’)
Sys.sleep(30)
gc() }

##Update iteration
iter <- iter+1 save(iter, file = 'iter.RData’)

##Save Workspace Image
save.image()

##Run This Script Again
if(iter < a) { restartSession(command = 'source("City.R")') }

This should clear the workspace, release the RAM, and restart R to run the code on 100 records at a time however this still hangs up my computer after about 1000 records.

I got through the data by manually doing chunks of 500 and restarting my computer so I am thinking it is a RAM fragmentation issue (running on only 6GB).

Are you able to provide any advise?

Thank you,
Ethan

[mhudecheck]

What operating system & version of R are you using? 1,000 records shouldn't be enough to fill more than a couple hundred MBs of ram at a time (if that), so my best guess is that something else is going on.

[Ekibe]

R version 3.6.3
Mac OS Sierra 10.12.6
2.4 GHz quad core
6 GB DDR3

A coworker is going to try running it next week so I'll update then.

Thank you!