Using AWK and R to parse 25tb Nick Strayer Jun 4, 2019 27 min read big data awk data cleaning How to read this post: I sincerely apologize for how long and rambling the following text is. To speed up skimming of it for those who have better things to do with their time, I have started most sections with a “Lesson learned” blurb that boils down the takeaway from the following text into a sentence o
parallel NAME SYNOPSIS DESCRIPTION OPTIONS EXAMPLES SPREADING BLOCKS OF DATA TIME POSTFIXES UNIT PREFIX QUOTING LIST RUNNING JOBS COMPLETE RUNNING JOBS BUT DO NOT START NEW JOBS ENVIRONMENT VARIABLES DEFAULT PROFILE (CONFIG FILE) PROFILE FILES EXIT STATUS DIFFERENCES BETWEEN GNU Parallel AND ALTERNATIVES BUGS REPORTING BUGS AUTHOR LICENSE DEPENDENCIES SEE ALSO parallel_examples GNU PARALLEL EXAMPL
Over the past few months I have been banging my head against a problem at MSNBC: importing the site's extremely large database to my local environment took more than two hours. With a fast internet connection, the database could be downloaded in a matter of minutes, but importing it for testing still took far too long. Ugh! In this article I'll walk through the troubleshooting process I used to im
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