topfew

topfew

A program that finds and prints out the top few records in which a certain field or combination of fields occurs most frequently.

Examples

To find the IP address that most commonly hits your web site, given an Apache logfile named access_log.

tf --fields 1 access_log

The same effect could be achieved with

awk '{print $1}' access_log | sort | uniq -c | sort -rn | head

But tf is usually much faster.

Do the same, but exclude high-traffic bots (omitting the filename).

tf --fields 1 --vgrep googlebot --vgrep bingbot

Most popular IP addresses from May 2020.

tf --fields 1 -grep '\[../May/2020'

Most popular hour/minute of the day for retrievals.

tf --fields 4 --sed "\\[" "" --sed '^[^:]*:' '' --sed ':..$' ''

Usage

tf 
	-n, --number (output line count) [default is 10]
	-f, --fields (field list) [default is the whole record]
	-g, --grep (regexp) [may repeat, default is accept all]
	-v, --vgrep (regexp) [may repeat, default is reject none]
	-s, --sed (regexp) (replacement) [may repeat, default is no changes]
	-w, --width (segment count) [default is result of runtime.numCPU()]
	--sample
	-h, -help, --help
	filename [default is stdin]

All the arguments are optional; if none are provided, tf will read records 
from the standard input and list the 10 which occur most often.

Options

-n integer, --number integer How many of the highest‐occurrence‐count lines to print out. The default value is 10.

-f fieldlist, --fields fieldlist Specifies which fields should be extracted from incoming records and used in computing occurrence counts. The fieldlist must be a comma‐separated list of integers identifying field numbers, which start at one, for example 3 and 2,5,6. The fields must be provided in order, so 3,1,7 is an error.

If no fieldlist is provided, tf treats the whole input record as a single field.

-g regexp, --grep regexp

The initial g suggests grep. This option applies the provided regular expression to each record as it is read and if the regexp does not match the record, tf bypasses it.

This option can be provided multiple times; the provided regular expressions will be applied in the order they appear on the command line.

-v regexp, --vgrep regegxp

The initial v suggests grep ‐v. This operation is the inverse of -g and -‐grep, rejecting records that match the provided regular expression.
As with grep, it can be provided multiple times.

-s regexp replacement, --sed regexp replacement

As its name suggests, applies sed‐style editing by replacing any text that matches the provided regexp with the provided replacement. It works on the fields in the fieldlist after they have been extracted from the record.

If ()‐enclosed capturing groups appear in the regexp, they may be referred to as $1, $2, and so on in, the replacement.

This option can be provided many times, and the replacement operations are performed in the order they appear on the command line.

--sample

It can be tricky to get the regular expressions in the −g, −v, and −s options right. Specifying -−sample causes tf to print lines to the standard output that display the filtering and field‐editing logic. It can only be used when processing standard input, not a file.

-w integer, --width integer

If a file name is specified then tf, rather than reading it from end to end, will divide it into segments and process it in multiple parallel threads. The optimal number of threads depends in a complicated way on how many cores your CPU has what kind of cores they are, and the storage architecture.

The default is the result of the Go runtime.NumCPU() calls and often produces good results.

-h, -help, --help

Describes the function and options of tf.

Records and fields

Records are separated by newlines, fields within records by white space, defined as one or more space or tab characters.

Performance issues

Since the effect of topfew can be exactly duplicated with a combination of awk, grep, sed and sort, you wouldn’t be using it if you didn’t care about performance. Topfew is quite highly tuned and pushes your computer’s I/O subsystem and Go runtime hard. Therefore, the observed effects of combinations of options can vary dramatically from system to system.

For example, if I want to list the top records containing the string example from a file named big-file I could do either of the following:

tf -g example big-file 
grep example big-file | tf

When I benchmark topfew on a modern Apple-Silicon Mac and an elderly spinning-rust Linux VPS, I observe that the first option is faster on Mac, the second on Linux.

Only one performance issue is uncomplicated: Topfew will always run faster on a named file than a standard-input stream.

Credits

Tim Bray created version 0.1 of Topfew, and the path toward 1.0 was based chiefly on ideas stolen from Dirkjan Ochtman and contributed by Simon Fell.