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mohan.radhakrishnan at polarisft.com

2013-Sep-27 07:12 UTC

[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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jim holtman

2013-Sep-27 08:27 UTC

head link

[R] Locating inefficient code

Is this what you want?  Please use dput when providing data.  Should
be faster using regular expressions:
> x <-  read.table(text = "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"
+ , as.is = TRUE
+ , header = TRUE
+ , check.names = FALSE
+ )> x  # before  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 ::ffff:172.20.100.2:80  ::ffff:10.1.5.7:3185   TIME_WAIT
4   tcp      0      0 ::ffff:172.20.100.2:80  ::ffff:10.5.1.3:3189   TIME_WAIT
5   tcp      0      0 ::ffff:172.20.100.2:80  ::ffff:10.5.5.7:3445   TIME_WAIT
6   tcp      0      0 ::ffff:172.20.100.2:80 ::ffff:10.3.29.3:2671  
TIME_WAIT> for (i in c("Local-Address", "Foreign-Address")){+ x[[i]] <- sub("[^0-9]*(.*)", "\\1", x[[i]])  # ignore
upto first digit
+ }> x  # after  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>
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.


On Fri, Sep 27, 2013 at 3:12 AM,  <mohan.radhakrishnan at polarisft.com>
wrote:> 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
>
>
> This e-Mail may contain proprietary and confidential information and is
sent for the intended recipient(s) only.  If by an addressing or transmission
error this mail has been misdirected to you, you are requested to delete this
mail immediately. You are also hereby notified that any use, any form of
reproduction, dissemination, copying, disclosure, modification, distribution
and/or publication of this e-mail message, contents or its attachment other than
by its intended recipient/s is strictly prohibited.
>
> Visit us at http://www.polarisFT.com
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

arun

2013-Sep-27 13:03 UTC

head link

[R] Locating inefficient code

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


This e-Mail may contain proprietary and confidential information and is sent for
the intended recipient(s) only.? If by an addressing or transmission error this
mail has been misdirected to you, you are requested to delete this mail
immediately. You are also hereby notified that any use, any form of
reproduction, dissemination, copying, disclosure, modification, distribution
and/or publication of this e-mail message, contents or its attachment other than
by its intended recipient/s is strictly prohibited.

Visit us at http://www.polarisFT.com

??? [[alternative HTML version deleted]]

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and provide commented, minimal, self-contained, reproducible code.

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