我正在使用strsplit
耗尽内存(大概);这是代码:
split.fields <- function (frame, fields, split, suffix, ...) {
for (field in fields) {
v <- sapply(strsplit(frame[[field]],"@",...),"[",1)
frame[[paste0(field,suffix)]] <- frame[[field]]
frame[[field]] <- v
}
frame
}
split.version <- function (frame, fields)
split.fields(frame, fields, split="@", suffix="Ver", fixed=TRUE)
> gc()
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 238165 12.8 467875 25 407500 21.8
Vcells 369492 2.9 905753 7 905631 7.0
> frame <- data.frame(browser = sample(c("Chrome@28","Chrome@27","Firefox@21","Firefox@22","IE@9","IE@8"), 1e7, replace=TRUE), stringsAsFactors=FALSE)
> str(frame)
'data.frame': 10000000 obs. of 1 variable:
$ browser: chr "IE@8" "Chrome@27" "Chrome@27" "Chrome@27" ...
> object.size(frame)
80000992 bytes
> gc()
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 240555 12.9 467875 25.0 407500 21.8
Vcells 10373979 79.2 34109873 260.3 40534688 309.3
> system.time(frame <- split.version(frame,"browser"))
user system elapsed
73.700 0.872 74.831
> object.size(frame)
160001248 bytes
> str(frame)
'data.frame': 10000000 obs. of 2 variables:
$ browser : chr "IE" "Chrome" "Chrome" "Chrome" ...
$ browserVer: chr "IE@8" "Chrome@27" "Chrome@27" "Chrome@27" ...
> gc()
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 264888 14.2 16652260 889.4 31376740 1675.7
Vcells 20459856 156.1 95461025 728.4 119226749 909.7
除了
R
进程的RSS现在是 1.6G 之外,这一切看起来都差不多。这似乎暗示
max used
中的1675.7Mb Ncell列尚未返回到操作系统。
我不太在乎操作系统不会收回RAM,我在乎什么
是要处理分配给1.6G的80M数据R(在我的真实数据上
用完可用的物理RAM)
有没有办法提高内存效率?
例如,可能将字符 vector 转换为一个因子并对其进行运算
它的水平会有所帮助吗?
R version 3.0.1 (2013-05-16) -- "Good Sport"
Platform: x86_64-pc-linux-gnu (64-bit)
最佳答案
如何使用substr
和regexpr
:
x <- c("Chrome@28","Chrome@27","Firefox@21","IE@8")
substr(x,1,regexpr("@",x)-1)
[1] "Chrome" "Chrome" "Firefox" "IE"
关于r - R:使用 `strsplit`耗尽内存,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/17660202/