APK

apk.sql

MariaDB [scrape]> SELECT
    ->  `c`.`name` AS `Category`,
    ->  `p`.`name`,
    ->  `p`.`volume`,
    ->  `p`.`recycle_fee` + `p`.`price` AS `Price`,
    ->  MAX(`p`.`apk`) AS `APK`
    ->  FROM
    ->  `categories` AS `c`
    ->  LEFT JOIN 
    ->  `products` AS `p`
    ->  ON
    ->  `c`.`id` = `p`.`category_id`
    ->  WHERE 
    ->  `p`.`name` IS NOT NULL
    ->  GROUP BY 
    ->  `c`.`id`
    ->  ORDER BY 
    ->  `p`.`apk`
    -> ;
+-----------+-----------------------------+--------+--------+------+
| Category  | name                        | volume | Price  | APK  |
+-----------+-----------------------------+--------+--------+------+
| wine      | Norton Barrel Select Malbec |    750 | 119.00 | 2.01 |
| cider_ect | Pistonhead Hard Apple Cider |    330 |  21.00 | 1.52 |
| beer      | Pistonhead Regular Lager    |    330 |  13.90 | 2.00 |
| liquor    | Isle of Skye Peated 8 years |    700 | 243.00 | 1.26 |
+-----------+-----------------------------+--------+--------+------+
4 rows in set (0.017 sec)

Interesting code and dataset breakdown here — it’s great to see practical examples that help illustrate SQL queries and data grouping for real product datasets. Seeing how others comment with their take on apps and APKs shows how diverse interests can be around technical snippets like this. In a completely different area of insights, many people also explore tools like a numerology calculator to better understand number patterns related to names and personal traits. Helpful conversation overall!