Movielogr

movie poster

View on: IMDb | TMDb

Coffee and Cigarettes (2004)

Directed by Jim Jarmusch

Overview

Coffee And Cigarettes is a collection of eleven films from cult director Jim Jarmusch. Each film hosts star studded cast of extremely unique individuals who all share the common activities of conversing while drinking coffee and smoking cigarettes.

Rated R | Length 96 minutes

Actors

Cate Blanchett | RZA | Alfred Molina | Steve Buscemi | Bill Murray | Tom Waits | Steven Wright | Steve Coogan | Isaach De Bankolé | Roberto Benigni | Vinny Vella | Joie Lee | Cinqué Lee | Iggy Pop | Joseph Rigano | Vinny Vella Jr. | Renee French | E.J. Rodriguez | Alex Descas | Jack White | The GZA | William Rice | Taylor Mead | Meg White

  BENCHMARKS  
Loading Time: Base Classes  0.0034
Controller Execution Time ( Overview / Movie Detail )  0.0240
Total Execution Time  0.0274
  GET DATA  
No GET data exists
  MEMORY USAGE  
513,984 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/6889
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0049 seconds)  (Hide)
0.0004  
SELECT 1
FROM `ml_sessions`
WHERE `id` = 'd32ff1e7453359580d5ed84a154f302f900a3dac'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('f4846d63403fbed174e2e22049b10479', 300) AS ci_session_lock ?>
0.0002  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'd32ff1e7453359580d5ed84a154f302f900a3dac'
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` = 6889
 LIMIT 1 ?>
0.0003  
SET SESSION group_concat_max_len = 12288 ?>
0.0027  
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` = 6889
GROUP BY `title_id` ?>
0.0002  
SET SESSION group_concat_max_len = 1024 ?>
0.0003  
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` = 6889
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
0.0003  
SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 6889 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 0 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)