Movielogr

movie poster

Average Rating: 6/10

View on: IMDb | TMDb

A Night at the Roxbury (1998)

Directed by John Fortenberry

Most recently watched by Javitron

Overview

Despite being well into adulthood, brothers Doug and Steve Butabi still live at home and work in the flower shop owned by their dad. They exist only to hit on women at discos, though they’re routinely unsuccessful until a chance run-in with Richard Grieco gets them inside the swank Roxbury club. Mistaken for high rollers, they meet their dream women, Vivica and Cambi, and resolve to open a club of their own.

Rated PG-13 | Length 81 minutes

Actors

Dan Hedaya | Joe Ranft | Eva Mendes | Chazz Palminteri | Kristen Dalton | Will Ferrell | Molly Shannon | Loni Anderson | Jennifer Coolidge | Mark McKinney | Lochlyn Munro | Elisa Donovan | Chris Kattan | Michael Clarke Duncan | Twink Caplan | Dwayne Hickman | Richard Grieco | Maree Cheatham | Meredith Scott Lynn | Kip King | Gigi Rice | Raquel Gardner | Colin Quinn | Deborah Kellner | Agata Gotova | Viveca Paulin | Rachel Galvin | Dorian Spencer

  BENCHMARKS  
Loading Time: Base Classes  0.0012
Controller Execution Time ( Overview / Movie Detail )  0.0244
Total Execution Time  0.0256
  GET DATA  
No GET data exists
  MEMORY USAGE  
515,040 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/5474
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0044 seconds)  (Hide)
0.0005  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '00f509c493b1294bbde516d34fed837dad01b6fa'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
SELECT GET_LOCK('f22104d6e640464c2a94c53b814d5a50', 300) AS ci_session_lock ?>
0.0003  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '00f509c493b1294bbde516d34fed837dad01b6fa'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 5474
 LIMIT 1 ?>
0.0002  
SET SESSION group_concat_max_len = 12288 ?>
0.0015  
SELECT `MT`.`title_id`, `title`, `prefix`, `year`, `imdb_link`, `imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, MAX(MP.filename) AS filename, GROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directors, GROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_ids, GROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actors, GROUP_CONCAT(DISTINCT(ACT.tmdb_actor_id) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actor_ids
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movie_posters` `MP` ON `MT`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_junction_movies_directors` `JMD` ON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DR` ON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMA` ON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MT`.`title_id` = 5474
GROUP BY `title_id` ?>
0.0002  
SET SESSION group_concat_max_len = 1024 ?>
0.0005  
SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MV` ON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MT` ON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 5474
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
0.0003  
SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 5474 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 14 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)