Vector Search vs. Binary Search

[This article was first published on Yet Another Blog in Statistical Computing » S+/R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

# REFERENCE:
# user2014.stat.ucla.edu/files/tutorial_Matt.pdf

pkgs <- c('data.table', 'rbenchmark')
lapply(pkgs, require, character.only = T)
 
load('2008.Rdata')
dt <- data.table(data)

benchmark(replications = 10, order = "elapsed",
  vector_search = {
    test1 <- dt[ArrTime == 1500 & Origin == 'ABE', ] 
  },
  binary_search = {
    setkey(dt, ArrTime, Origin)
    test2 <- dt[.(1500, 'ABE'), ]
  }
)

#            test replications elapsed relative user.self sys.self user.child
# 2 binary_search           10   0.335    1.000     0.311    0.023          0
# 1 vector_search           10   7.245   21.627     7.102    0.131          0

To leave a comment for the author, please follow the link and comment on their blog: Yet Another Blog in Statistical Computing » S+/R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)