Count specific pattern in URLs bigquery sql

Question

I got a table which contains URLs and some other columns, for example dates. The URLs contain IDs, separated by different values. What the IDs have in common is that they contai

Answer 1

try this one

select
    date,
    ids_count,
    count(*) as combinations_count
from
    (   select
            date,
            url,
            regexp_extract_all(
                concat(
                    regexp_replace(url, r'[[:punct:]]', '~~'), '~'),
                r'~(\d+)~') as ids,

            array_length(
                regexp_extract_all(
                    concat(
                        regexp_replace(url, r'[[:punct:]]', '~~'), '~'),
                    r'~(\d+)~')) as ids_count
        from
            unnest(array[   struct(date'1999-01-01' as date, 'https://www.example.com/category1/subcategory1/71347983~7275798_fui~85092374238590235.......' as url),
                            struct(date'1999-01-02', 'https://www.example.com/category1/subcategory2/71347983_7275798/85092374238590235~773429834.......'),
                            struct(date'1999-01-01', 'https://www.example.com/category1/subcategory2/71347983_23235~773429834')])
    )
group by
    1, 2