It’s kind of a joke around where I work. I saw a data import script my boss had written that used awk to preprocess massive data files, separating them into record-type-specific files for use with BCP. Since then, I have (jokingly) declared that the combination of awk and elasticsearch is my hammer, and all problems are nails.

I was looking for speed improvements for our index import process. Having made said improvements (by parallelizing the tasks - invoking the import process in multiple forks and datasets separated by modulus math), I needed an easy way to keep track of the progress. I already had the processes writing to a log file with this format:

20755 processed 1000 objects ending with: 18000 in 53 seconds

The first number is the process id or pid. Since I had multiple processes running, I didn’t want to have to find the last entry for each pid and do math to find out how quickly things were going. So I whipped up this little import_stats.awk script:

#! /bin/awk -f
# this section happens before any lines are read.
# it allows you to set up variables that you can
# use as the program executes
  total_seconds = 0;
  count = 0;

# the unnamed section here is what is executed 
# for each line. In this case, it's checking to
# see if a line begins with a number, and 
# incrementing counts and totals on if it does.
# the $9 variable is the ninth column in the 
# data line
  if ($1 ~ /^[0-9]*$/) {
    total_seconds += $9;

# The end section allows you to sum up, peforming
# actions to clean up or print results. In this
# case I'm printing my results
  print "average seconds per thousand: " total_seconds / count;
  print "total processed_thus far: " count * 1000;

now I can check on progress by typing this from the app’s root:

cat log/import.log | awk -f import_stats.awk

and I get

average seconds per thousand: 50.4306
total processed_thus far: 432000

Linux and Unix have so many great tools that have been developed over the years that are rock solid foundations for new things. I found this site to be helpful as I was writing my little script: Awk - A Tutorial and Introduction

It took no time at all to develop this utility. It’s simple, saves me time and makes me happy.