On Wednesday, 22 February 2017 at 18:12:50 UTC, Jon Degenhardt
It's not quite a year since the open-sourcing of eBay's tsv
utilities. Since then there have been a number of additions and
updates, and the tools form a more complete package. The tools
assist with manipulation of tabular data files common in
machine learning and data mining environments. They work
alongside traditional Unix command line tools like 'cut', and
'sort'. They also fit well with data mining and stats packages
like R and Pandas.
The tools include filtering, slicing, joins and other
manipulation, sampling, and statistical calculations. If you
find yourself working with large data files from a unix shell,
you may like these tools.
Speed matters when processing large data files, and these tools
are fast. I've published new benchmarks comparing the tools to
similar tools written in several native compiled programming
languages. The tools are the fastest on five of the six
benchmarks run, generally by significant margins. It's a good
result for the D programming language. The benchmarks may be of
interest regardless of your interest in the tools themselves.
One more update: Schveiguy helped identify the performance
bottleneck in the csv2tsv tool, now the tools are the fastest on
all six benchmarks. Benchmarks have been updated (and reformatted
a bit). Summary table here: