· r-2 dplyr

R: dplyr - segfault cause 'memory not mapped'

In my continued playing around with web logs in R I wanted to process the logs for a day and see what the most popular URIs were.

I first read in all the lines using the read_lines function in readr and put the vector it produced into a data frame so I could process it using dplyr.

dlines = data.frame(column = read_lines("~/projects/logs/2015-06-18-22-docs"))

In the previous post I showed some code to extract the URI from a log line. I extracted this code out into a function and adapted it so that I could pass in a list of values instead of a single value:

extract_uri = function(log) {
  parts = str_extract_all(log, "\"[^\"]*\"")
  return(lapply(parts, function(p) str_match(p[1], "GET (.*) HTTP")[2] %>% as.character))

Next I ran the following function to count the number of times each URI appeared in the logs:

pages_viewed = dlines %>%
  mutate(uri  = extract_uri(column)) %>% 
  count(uri) %>%

This crashed my R process with the following error message:

segfault cause 'memory not mapped' 

I narrowed it down to a problem when doing a group by operation on the 'uri' field and came across this post which suggested that it was handled more cleanly in more recently version of dplyr.

I upgraded to 0.4.2 and tried again:

## Error in eval(expr, envir, enclos): cannot group column uri, of class 'list'

That makes more sense. We're probably returning a list from extract_uri rather than a vector which would fit nicely back into the data frame. That's fixed easily enough by unlisting the result:

extract_uri = function(log) {
  parts = str_extract_all(log, "\"[^\"]*\"")
  return(unlist(lapply(parts, function(p) str_match(p[1], "GET (.*) HTTP")[2] %>% as.character)))

And now when we run the count function it's happy again, good times!

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