Tablizer can be used to re-format tabular output of other programs. While you could do this using standard unix tools, in some cases it's a hard job.
Usage:
Usage:
tablizer [regex] [file, ...] [flags]
Operational Flags:
-c, --columns string Only show the speficied columns (separated by ,)
-v, --invert-match select non-matching rows
-n, --no-numbering Disable header numbering
-N, --no-color Disable pattern highlighting
-H, --no-headers Disable headers display
-s, --separator string Custom field separator
-k, --sort-by int Sort by column (default: 1)
-z, --fuzzy Use fuzzy search [experimental]
-F, --filter field=reg Filter given field with regex, can be used multiple times
-T, --transpose-columns string Transpose the speficied columns (separated by ,)
-R, --regex-transposer /from/to/ Apply /search/replace/ regexp to fields given in -T
Output Flags (mutually exclusive):
-X, --extended Enable extended output
-M, --markdown Enable markdown table output
-O, --orgtbl Enable org-mode table output
-S, --shell Enable shell evaluable output
-Y, --yaml Enable yaml output
-C, --csv Enable CSV output
-A, --ascii Default output mode, ascii tabular
-L, --hightlight-lines Use alternating background colors for tables
Sort Mode Flags (mutually exclusive):
-a, --sort-age sort according to age (duration) string
-D, --sort-desc Sort in descending order (default: ascending)
-i, --sort-numeric sort according to string numerical value
-t, --sort-time sort according to time string
Other Flags:
--completion <shell> Generate the autocompletion script for <shell>
-f, --config <file> Configuration file (default: ~/.config/tablizer/config)
-d, --debug Enable debugging
-h, --help help for tablizer
-m, --man Display manual page
-V, --version Print program version
Let's take this output:
% kubectl get pods -o wide
NAME READY STATUS RESTARTS AGE
repldepl-7bcd8d5b64-7zq4l 1/1 Running 1 (69m ago) 5h26m
repldepl-7bcd8d5b64-m48n8 1/1 Running 1 (69m ago) 5h26m
repldepl-7bcd8d5b64-q2bf4 1/1 Running 1 (69m ago) 5h26m
But you're only interested in the NAME and STATUS columns. Here's how to do this with tablizer:
% kubectl get pods | tablizer
NAME(1) READY(2) STATUS(3) RESTARTS(4) AGE(5)
repldepl-7bcd8d5b64-7zq4l 1/1 Running 1 (69m ago) 5h26m
repldepl-7bcd8d5b64-m48n8 1/1 Running 1 (69m ago) 5h26m
repldepl-7bcd8d5b64-q2bf4 1/1 Running 1 (69m ago) 5h26m
% kubectl get pods | tablizer -c 1,3
NAME(1) STATUS(3)
repldepl-7bcd8d5b64-7zq4l Running
repldepl-7bcd8d5b64-m48n8 Running
repldepl-7bcd8d5b64-q2bf4 Running
Another use case is when the tabular output is so wide that lines are
being broken and the whole output is completely distorted. In such a
case you can use the -o extended | -X flag to get an output similar
to \x in psql:
% kubectl get pods | tablizer -X
NAME: repldepl-7bcd8d5b64-7zq4l
READY: 1/1
STATUS: Running
RESTARTS: 1 (71m ago)
AGE: 5h28m
NAME: repldepl-7bcd8d5b64-m48n8
READY: 1/1
STATUS: Running
RESTARTS: 1 (71m ago)
AGE: 5h28m
NAME: repldepl-7bcd8d5b64-q2bf4
READY: 1/1
STATUS: Running
RESTARTS: 1 (71m ago)
AGE: 5h28m
Tablize can read one or more files or - if none specified - from STDIN.
You can also specify a regex pattern to reduce the output:
% kubectl get pods | tablizer q2bf4
NAME(1) READY(2) STATUS(3) RESTARTS(4) AGE(5)
repldepl-7bcd8d5b64-q2bf4 1/1 Running 1 (69m ago) 5h26m
Sometimes a filter regex is to broad and you wish to filter only on a
particular column. This is possible using -F:
% kubectl get pods | tablizer -n -Fname=2
NAME READY STATUS RESTARTS AGE
repldepl-7bcd8d5b64-q2bf4 1/1 Running 1 (69m ago) 5h26m
Here we filtered the NAME column for 2, which would have matched
otherwise on all rows.
There are more output modes like org-mode (orgtbl) and markdown.
You can also use it to modify certain cells using regular expression matching. For example:
kubectl get pods | tablizer -n -T4 -R '/ /-/'
NAME READY STATUS RESTARTS AGE
repldepl-7bcd8d5b64-7zq4l 1/1 Running 1-(69m-ago) 5h26m
repldepl-7bcd8d5b64-m48n8 1/1 Running 1-(69m-ago) 5h26m
repldepl-7bcd8d5b64-q2bf4 1/1 Running 1-(69m-ago) 5h26mHere, we modified the 4th column (-T4) by replacing every space with
a dash. If you need to work with / characters, you can also use any
other separator, for instance: -R '| |-|'.
There are multiple ways to install tablizer:
-
Go to the latest release page, locate the binary for your operating system and platform.
Download it and put it into some directory within your
$PATHvariable. -
The release page also contains a tarball for every supported platform. Unpack it to some temporary directory, extract it and execute the following command inside:
sudo make install -
You can also install from source. Issue the following commands in your shell:
git clone https://github.com/TLINDEN/tablizer.git cd tablizer make sudo make install
If you do not find a binary release for your platform, please don't hesitate to ask me about it, I'll add it.
The documentation is provided as a unix man-page. It will be automatically installed if you install from source. However, you can read the man-page online:
https://github.com/TLINDEN/tablizer/blob/main/tablizer.pod
Or if you cloned the repository you can read it this way (perl needs
to be installed though): perldoc tablizer.pod.
If you have the binary installed, you can also read the man page with this command:
tablizer --man
Although I'm happy to hear from tablizer users in private email, that's the best way for me to forget to do something.
In order to report a bug, unexpected behavior, feature requests or to submit a patch, please open an issue on github: https://github.com/TLINDEN/tablizer/issues.
When I started with tablizer I was not aware that other tools exist. Here is a non-exhausive list of the ones I find especially awesome:
This is a really powerful tool to work with tabular data and it also allows other inputs as json, csv etc. You can filter, manipulate, create pipelines, there's even a programming language builtin to do even more amazing things.
Csvq allows you to query CSV and TSV data using SQL queries. How nice is that? Highly recommended if you have to work with a large (and wide) dataset and need to apply a complicated set of rules.
Goawk is a 100% POSIX compliant AWK implementation in GO, which also
supports CSV and TSV data as input (using -i csv for example). You
can apply any kind of awk code to your tabular data, there are no
limit to your creativity!
I particularly like teip, it's a real gem. You can use it to drill "holes" into your tabular data and modify these "holes" using small external unix commands such as grep or sed. The possibilities are endless, you can even use teip to modify data inside a hole created by teip. Highly recommended.
This software is licensed under the GNU GENERAL PUBLIC LICENSE version 3.
T.v.Dein