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Full Discussion: Month Substitution
Top Forums Shell Programming and Scripting Month Substitution Post 302426400 by methyl on Tuesday 1st of June 2010 07:46:00 PM
Old 06-01-2010
I agree. Manipulating the TZ variable in this manner can only work properly 24/7 in the GMT timezone.

The original command posted does not work because ${yesterday} is not set and evaluates to blank. The command as posted just executes:
Code:
date +%Y%m

If only we knew which Operating System and Shell the O/P has?

Iin general it is usually better to use a 00:01 cron to create a reference file "today" and age the file daily to create "yesterday" and "day-before-yesterday" files. Each file can contain the date in the format required by the reporting process or the reporting process could use the timestamp of the relevant file.
 

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NNSTATS(1m)															       NNSTATS(1m)

NAME
nnstats - display nnmaster collection and expire statistics SYNOPSIS
nnstats [ -lt ] [ -d month day ] [ -m month ] [ logfile ]... DESCRIPTION
nnstats will extract the collection (C) and expiration (X) entries from the log file and calculate total and average number of articles, groups and elapsed time per day, per month, or for the duration of the whole log file. Normally only a summary for the specified period is printed. If -l is specified, the statistics for each day in the period is also printed, and if -t is specified the summary is not printed. Normally the statistics is collected for all days in the log files (or the current log file if one is not specified). If "-m month" is specified, the statistics for that month is calculated. The month is specified in normal date notation, i.e. a capital- ized three letter abbreviation like Jan, Feb, ... If "-d month day" is specified, the statistics for that date only is calculated and printed. FILES
../Log The log file SEE ALSO
nn(1), nnusage(1M), nnadmin(1M), nnmaster(8) NOTES
If nnmaster is run with options -LCX, nnstats will not work, because the necessary entries are not written to the log file. AUTHORS
Mark Moraes <moraes@csri.toronto.edu> Kim F. Storm <storm@texas.dk> 4th Berkeley Distribution Release 6.6 NNSTATS(1m)
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