Movielogr

Home

Steve Buscemi

sleestakk has logged 14 out of 32 movies featuring Steve Buscemi. Back to Actors by Popularity.

Movies logged featuring Steve Buscemi
TitleDirector(s)Year ReleasedWatchedViewed On
Pulp FictionQuentin Tarantino1994Yes01/10/2003
Island, TheMichael Bay2005Yes08/09/2005
Escape from L.A.John Carpenter1996Yes05/16/2012
IgorAnthony Leondis2008Yes05/12/2012
Ghost WorldTerry Zwigoff2001NoN/A
Paris Je T'aimeIsabel Coixet, Tom Tykwer, Joel Coen, Ethan Coen, Christopher Doyle, Richard LaGravenese, Wes Craven, Gus Van Sant, Vincenzo Natali, Gurinder Chadha, Walter Salles, Alfonso Cuarón, Alexander Payne, Gérard Depardieu, Frédéric Auburtin, Olivier Assayas, Nobuhiro Suwa, Oliver Schmitz, Sylvain Chomet, Bruno Podalydès, Daniela Thomas2006NoN/A
Coffee and CigarettesJim Jarmusch2004NoN/A
Big FishTim Burton2003NoN/A
Things to Do in Denver When You're DeadGary Fleder1995NoN/A
Barton FinkJoel Coen, Ethan Coen1991NoN/A
  BENCHMARKS  
Loading Time: Base Classes  0.0016
Controller Execution Time ( Members / Movies By Actor )  0.0130
Total Execution Time  0.0147
  GET DATA  
No GET data exists
  MEMORY USAGE  
535,848 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/actor/884/watched/desc/10
  CLASS/METHOD  
members/movies_by_actor
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 9 (0.0061 seconds)  (Hide)
0.0004  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '0e3d551ee666d10b3fbeaa8ea716a4d7088b6aae'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('46cd1694c8c9603aebb1d3f9af31c00a', 300) AS ci_session_lock ?>
0.0002  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '0e3d551ee666d10b3fbeaa8ea716a4d7088b6aae'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sleestakk'
 LIMIT 1 ?>
0.0007  
SELECT DISTINCT(MT.title_id)
FROM `ml_movie_titles` `MT`
JOIN `ml_junction_movies_actors` `JMA` ON `JMA`.`title_id` = `MT`.`title_id`
JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `JMA`.`tmdb_actor_id` = 884
GROUP BY `MT`.`title_id` ?>
0.0005  
SELECT DISTINCT(MT.title_id)
FROM `ml_movie_titles` `MT`
JOIN `ml_junction_movies_actors` `JMA` ON `JMA`.`title_id` = `MT`.`title_id`
JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `JMA`.`tmdb_actor_id` = 884
GROUP BY `MT`.`title_id` ?>
0.0009  
SELECT DISTINCT(MT.title_id)
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
JOIN `ml_junction_movies_actors` `JMA` ON `JMA`.`title_id` = `MT`.`title_id`
JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `JMA`.`tmdb_actor_id` = 884
AND `MV`.`user_id` = 9
GROUP BY `MT`.`title_id` ?>
0.0027  
SELECT `MT`.`title_id`, `title`, `prefix`, `year`, `tmdb_id`, MAX(MV.movie_id) AS movie_id, MAX(date_viewed) AS date_viewed, MAX(actor_name) AS actor_name, `ACT`.`tmdb_actor_id`, 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
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id` AND `MV`.`user_id` = 9
JOIN `ml_junction_movies_actors` `JMA` ON `JMA`.`title_id` = `MT`.`title_id`
JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_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`
WHERE `JMA`.`tmdb_actor_id` = 884
GROUP BY `MT`.`title_id`
ORDER BY `movie_id` DESC
 LIMIT 10, 10 ?>
0.0003  
SELECT `actor_name`
FROM `ml_actors_new`
WHERE `tmdb_actor_id` = 884 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)