[R] Locating inefficient code

[arun]

Hi,
Please use ?dput()
dat1<- structure(list(Proto = c("tcp", "tcp", "tcp", "tcp", "tcp", "tcp"
), `Recv-Q` = c(0L, 0L, 0L, 0L, 0L, 0L), `Send-Q` = c(0L, 0L, 
0L, 0L, 0L, 0L), `Local-Address` = c("172.20.100.2:60255", "172.20.100.2:60247", 
"::ffff:172.20.100.2:80", "::ffff:172.20.100.2:80", "::ffff:172.20.100.2:80", 
"::ffff:172.20.100.2:80"), `Foreign-Address` = c("172.20.100.3:8209", 
"172.20.100.3:8209", "::ffff:10.1.5.7:3185", "::ffff:10.5.1.3:3189", 
"::ffff:10.5.5.7:3445", "::ffff:10.3.29.3:2671"), State = c("ESTABLISHED", 
"ESTABLISHED", "TIME_WAIT", "TIME_WAIT", "TIME_WAIT", "TIME_WAIT"
)), .Names = c("Proto", "Recv-Q", "Send-Q", "Local-Address", 
"Foreign-Address", "State"), class = "data.frame", row.names = c(NA, 
-6L))

library(stringr)
dat1[,4:5]<-lapply(dat1[,4:5],function(x) str_replace(x,"^\\D+",""))
dat1
#  Proto Recv-Q Send-Q      Local-Address   Foreign-Address       State
#1   tcp      0      0 172.20.100.2:60255 172.20.100.3:8209 ESTABLISHED
#2   tcp      0      0 172.20.100.2:60247 172.20.100.3:8209 ESTABLISHED
##3   tcp      0      0    172.20.100.2:80     10.1.5.7:3185   TIME_WAIT
#4   tcp      0      0    172.20.100.2:80     10.5.1.3:3189   TIME_WAIT
#5   tcp      0      0    172.20.100.2:80     10.5.5.7:3445   TIME_WAIT
#6   tcp      0      0    172.20.100.2:80    10.3.29.3:2671   TIME_WAIT

A.K.




----- Original Message -----
From: "mohan.radhakrishnan at polarisft.com" <mohan.radhakrishnan at polarisft.com>
To: r-help at r-project.org
Cc: 
Sent: Friday, September 27, 2013 3:42 AM
Subject: [R] Locating inefficient code

Hi,

          I have been using R for a few months and I have this working 
code. Don't seen any problem but this takes a long time. So if I have 
about 30000 rows it takes a few minutes. If I have 100000 it does not seem 
to complete.

Original Data:

Proto Recv-Q Send-Q Local-Address               Foreign-Address  State  
tcp        0            0                    172.20.100.2:60255 
172.20.100.3:8209           ESTABLISHED 
tcp        0         0                    172.20.100.2:60247 
172.20.100.3:8209           ESTABLISHED 
tcp        0         0                     ::ffff:172.20.100.2:80 
::ffff:10.1.5.7:3185        TIME_WAIT 
tcp        0        0                    ::ffff:172.20.100.2:80 
::ffff:10.5.1.3:3189        TIME_WAIT 
tcp        0        0                     ::ffff:172.20.100.2:80 
::ffff:10.5.5.7:3445        TIME_WAIT 
tcp        0        0                    ::ffff:172.20.100.2:80 
::ffff:10.3.29.3:2671       TIME_WAIT 

Parsed Data:

tcp        0            0                    172.20.100.2:60255 
172.20.100.3:8209           ESTABLISHED 
tcp        0         0                    172.20.100.2:60247 
172.20.100.3:8209           ESTABLISHED 

Here I am just splitting at colons and getting IP's and ports. That is 
all. Can this code improved ?

data <- read.table("D:\\Log 
Analysis\\26-9-2013\\concurrentusage-node1",sep="",header=T,stringsAsFactors=FALSE, 
fill=TRUE)
var <- c("Foreign.Address")
data[,var] <- sapply(data[,var],function(x) 
ifelse(length(unlist(str_split(x,":")))==5,unlist(str_split(x,":"))[4],unlist(str_split(x,":"))[1]))
var <- c("Local.Address")
data[,var] <- sapply(data[,var],function(x) 
ifelse(length(unlist(str_split(x,":")))==5,paste(unlist(str_split(x,":"))[4],":",unlist(str_split(x,":"))[5]),
paste(unlist(str_split(x,":"))[1],":",unlist(str_split(x,":"))[2])))

Thanks,
Mohan


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