Movielogr

Home

movie poster

Average Rating: 7/10

View on: IMDb | TMDb

Paycheck (2003)

Directed by John Woo

Most recently watched by sleestakk

Overview

Michael Jennings is a genius who’s hired – and paid handsomely – by high-tech firms to work on highly sensitive projects, after which his short-term memory is erased so he’s incapable of breaching security. But at the end of a three-year job, he’s told he isn’t getting a paycheck and instead receives a mysterious envelope. In it are clues he must piece together to find out why he wasn’t paid – and why he’s now in hot water.

Rated PG-13 | Length 119 minutes

Actors

Uma Thurman | Callum Keith Rennie | Ben Affleck | Kathryn Morris | Joe Morton | David Lewis | Aaron Eckhart | Colm Feore | John Cassini | Paul Giamatti | Krista Allen | Ivana Miličević | Emily Holmes | Serge Houde | Barclay Hope | Michael C. Hall | Peter Friedman | Kendall Cross | Michelle Harrison | Craig March | Claudette Mink | Fulvio Cecere | Chelah Horsdal | Benita Ha | Ryan Robbins | Catherine Lough Haggquist | Darryl Scheelar | Mark Brandon | Brad Kelly | Christopher Kennedy | Jason Calder | Peter Shinkoda | Roger Haskett | Dee Jay Jackson | Mike Godenir | Brent Connolly | Craig Hosking | Michelle Anderson | Lori Berlanga | Ryan Zwick | Calvin Finlayson | Steve Wright | Robert Clark | Andrea Siradze | Isabelle Roland | Peter Caton

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Overview / Movie Detail )  0.0212
Total Execution Time  0.0226
  GET DATA  
No GET data exists
  MEMORY USAGE  
520,008 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/4542
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0039 seconds)  (Hide)
0.0004   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'aad038abf34b9fbdd431eabca609d4622a6aa086'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('491dad835d6e931eef94b1f72aaf647d', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'aad038abf34b9fbdd431eabca609d4622a6aa086'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 4542
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0016   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` = 4542
GROUP BY `title_id` 
0.0002   SET SESSION group_concat_max_len = 1024 
0.0004   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` = 4542
ORDER BY `date_viewed` DESC
 LIMIT 10 
0.0003   SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 4542 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 16 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)