| 0.0003 |
SELECT 1
FROM `ml_sessions`
WHERE `id` = 'b44bef1d0cd0a174ef93142b8c40dff4a81c76a3'
AND `ip_address` = '216.73.216.111'
|
| 0.0002 |
SELECT GET_LOCK('29a0bdf693450cb155ca38e19a6862f2', 300) AS ci_session_lock
|
| 0.0003 |
SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'b44bef1d0cd0a174ef93142b8c40dff4a81c76a3'
AND `ip_address` = '216.73.216.111'
|
| 0.0003 |
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'tylermager'
LIMIT 1
|
| 0.0016 |
SELECT genre, COUNT(DISTINCT(title_id)) AS genre_count, genre_name
FROM (SELECT DISTINCT(title_id), genre_id_01 AS genre
FROM ml_movies
WHERE user_id = 39 AND YEAR(ml_movies.date_viewed) = 2025 UNION ALL
SELECT DISTINCT(title_id), genre_id_02
FROM ml_movies
WHERE user_id = 39 AND YEAR(ml_movies.date_viewed) = 2025 UNION ALL
SELECT DISTINCT(title_id), genre_id_03
FROM ml_movies
WHERE user_id = 39 AND YEAR(ml_movies.date_viewed) = 2025) AS T1
JOIN ml_lookup_genres AS LG
ON T1.genre = LG.genre_id
GROUP BY genre
ORDER BY genre_count DESC
LIMIT 0, 50
|