Let's observe them in MySQL:
mysql enwiki -e "select page_id, page_namespace, page_title, page_is_redirect from page where page_namespace in (0, 14) and page_title in ('Computer_storage_devices', 'Computer_data_storage')"
outputs:
+----------+----------------+--------------------------+------------------+
| page_id  | page_namespace | page_title               | page_is_redirect |
+----------+----------------+--------------------------+------------------+
|     5300 |              0 | Computer_data_storage    |                0 |
| 42371130 |              0 | Computer_storage_devices |                1 |
|   711721 |             14 | Computer_data_storage    |                0 |
|   895945 |             14 | Computer_storage_devices |                0 |
+----------+----------------+--------------------------+------------------+
mysql enwiki -e "select cl_from, cl_to from categorylinks where cl_from in (5300, 711721, 895945, 42371130)"
gives:
+----------+-----------------------------------------------------------------------+
| cl_from  | cl_to                                                                 |
+----------+-----------------------------------------------------------------------+
|     5300 | All_articles_containing_potentially_dated_statements                  |
|     5300 | Articles_containing_potentially_dated_statements_from_2009            |
|     5300 | Articles_containing_potentially_dated_statements_from_2011            |
|     5300 | Articles_with_GND_identifiers                                         |
|     5300 | Articles_with_NKC_identifiers                                         |
|     5300 | Articles_with_short_description                                       |
|     5300 | Computer_architecture                                                 |
|     5300 | Computer_data_storage                                                 |
|     5300 | Short_description_matches_Wikidata                                    |
|     5300 | Use_dmy_dates_from_June_2020                                          |
|     5300 | Wikipedia_articles_incorporating_text_from_the_Federal_Standard_1037C |
|   711721 | Computer_architecture                                                 |
|   711721 | Computer_data                                                         |
|   711721 | Computer_hardware_by_type                                             |
|   711721 | Data_storage                                                          |
|   895945 | Computer_data_storage                                                 |
|   895945 | Computer_peripherals                                                  |
|   895945 | Recording_devices                                                     |
| 42371130 | Redirects_from_alternative_names                                      |
+----------+-----------------------------------------------------------------------+
So we see that cl_from encodes the parent categories:
So to find all articls and categories under a given category title, say en.wikipedia.org/wiki/Category:Mathematics we can run:
mariadb enwiki -e "select cl_from, cl_to, page_namespace, page_title from categorylinks inner join page on page_namespace in (0, 14) and cl_from = page_id and cl_to = 'Mathematics'"
csvkit by Ciro Santilli 40 Updated 2025-07-16
Lots of features, but slow because written in Python. A faster version may be csvtools. Also some annoyances like obtuse header handing and missing features like grep + cut in one go: csvgrep and select column in csvkit.
csvtool by Ciro Santilli 40 Updated 2025-07-16
A compiled executable under /usr/bin/csvtool, has an Ubuntu 23.04 package: manpages.ubuntu.com/manpages/lunar/en/man1/csvtool.1.html
There seems to be no sane filtering mechanism however: stackoverflow.com/questions/46540752/using-csvtool-call-to-filter-csv-in-bash
csvtools by Ciro Santilli 40 Updated 2025-07-16
A fast version of a somewhat subset of csvkit, written in C.
Build failed with undefined reference to pcre_config on Ubuntu 23.04: github.com/DavyLandman/csvtools/issues/18
Unfortunately it is lacking some basic options, like optional header + selecting column by index on csvgrep (though csvcut has it). The project seems kind of dead.
Also unclear if it allows to filter + print only selected columns.
pdftk by Ciro Santilli 40 Updated 2025-07-16
Extract certain pages of a PDF:
pdftk input.pdf cat 2-4 output out1.pdf
There seems to be no way without a pipe, you seem to need to reparse the columns, e.g. the tutorial at: csvkit.readthedocs.io/en/latest/tutorial/2_examining_the_data.html#csvgrep-find-the-data-you-need does:
csvcut -c county,item_name,total_cost data.csv | csvgrep -c county -m LANCASTER
Oracle Database by Ciro Santilli 40 Updated 2025-07-16
Often known simply as SQL Server, a terrible thing that makes it impossible to find portable SQL answers on Google! You just have to Google by specific SQL implementation unfortunately to find anything about the open source ones.

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