Movielogr

movie poster

Rating: 4 stars

Tags

DVD

Seen 1 time

Seen on: 04/23/2011

View on: IMDb | TMDb

The Matrix (1999)

Directed by Lilly Wachowski, Lana Wachowski

Action

Most recently watched by sensoria, dmosher, jenerator, sleestakk

Overview

Set in the 22nd century, The Matrix tells the story of a computer hacker who joins a group of underground insurgents fighting the vast and powerful computers who now rule the earth.

Rated R | Length 136 minutes

Actors

Carrie-Anne Moss | Joe Pantoliano | Hugo Weaving | Laurence Fishburne | Keanu Reeves | Julian Arahanga | Gloria Foster | Marcus Chong | Matt Doran | Belinda McClory | Anthony Ray Parker | Paul Goddard | David Aston | Marc Aden | Robert Simper | Robert Taylor | Bill Young | Lawrence Woodward | Harry Lawrence | Ada Nicodemou | Steve Dodd | Rowan Witt | Deni Gordon | Eleanor Witt | Tamara Brown | Janaya Pender | Adryn White | Natalie Tjen | David O'Connor | Jeremy Ball | Fiona Johnson | Luke Quinton | Michael Butcher | Bernard Ledger | Chris Pattinson | Nigel Harbach

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0058
Controller Execution Time ( Members / Movie Detail )  0.0428
Total Execution Time  0.0486
  GET DATA  
No GET data exists
  MEMORY USAGE  
533,168 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/jenerator/movie_detail/6528
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0130 seconds)  (Hide)
0.0005  
SELECT 1
FROM `ml_sessions`
WHERE `id` = 'dc90c7ab33119572553ea6b40410347af63d39e5'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('a10c6cb839f9b5e9ea4a342d3444abf6', 300) AS ci_session_lock ?>
0.0003  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'dc90c7ab33119572553ea6b40410347af63d39e5'
AND `ip_address` = '216.73.216.6' ?>
0.0050  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'jenerator'
 LIMIT 1 ?>
0.0004  
SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 6528
AND `MV`.`user_id` = 61
 LIMIT 1 ?>
0.0005  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 61
 LIMIT 1 ?>
0.0002  
SET SESSION group_concat_max_len = 12288 ?>
0.0026  
SELECT `MV`.`title_id`, `MV`.`movie_id`, COUNT(DISTINCT MV.title_id) AS mv_count, `title`, `prefix`, `year`, `imdb_link`, `MT`.`imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, `genre_id_01`, `genre_id_02`, `genre_id_03`, MAX(MP.filename) AS filename, `G1`.`genre_name` AS `genre_name_01`, `G2`.`genre_name` AS `genre_name_02`, `G3`.`genre_name` AS `genre_name_03`, `date_viewed`, `notes`, `MV`.`format_id`, `FMT`.`format_name`, `MV`.`source_id`, `SRC`.`source_name`, `MV`.`device_id`, `DVC`.`device_name`, `MV`.`rating_id`, `STR`.`star_rating`, `rewatch`, 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_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MP` ON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1` ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2` ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3` ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMT` ON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRC` ON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVC` ON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_five_star` `STR` ON `MV`.`rating_id` = `STR`.`rating_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 `MV`.`movie_id` = 6528
AND `MV`.`user_id` = 61
ORDER BY `date_viewed` DESC ?>
0.0002  
SET SESSION group_concat_max_len = 1024 ?>
0.0003  
SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EV` ON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 6528 ?>
0.0004  
SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MT` ON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 6528 ?>
0.0007  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 61
 LIMIT 1 ?>
0.0003  
SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 61
AND `MV`.`movie_id` = 6528
 LIMIT 1 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '18'
 LIMIT 1 ?>
0.0005  
SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2` ON `MV`.`title_id` = `MV2`.`title_id` AND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 61
AND `MV`.`movie_id` = 6528
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC ?>
0.0002  
SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MU` ON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 6528 ?>
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` = 2256
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)