Movielogr

movie poster

Average Rating: 7.5/10

View on: IMDb | TMDb

Infernal Affairs III (2003)

Directed by Andrew Lau, Alan Mak

Most recently watched by sensoria

Overview

While Yeung Kam Wing is trying to remove all connections between the mob and him, his actions are being carefully observed by Lau Kin Ming, who bears a personal grudge against him.

Rated NR | Length 118 minutes

Actors

Tony Leung Chiu-Wai | Chen Dao-Ming | Carina Lau | Edison Chen | Andy Lau | Waise Lee | Eric Tsang | Anthony Wong | Leon Lai Ming | Kelly Chen | Shawn Yue | Gordon Lam Ka-Tung | Sammi Cheng | Vincent Wan Yeung-Ming | Chapman To | Wan Chi-keung | Berg Ng Ting-Yip | Eddie Li

  BENCHMARKS  
Loading Time: Base Classes  0.0012
Controller Execution Time ( Overview / Movie Detail )  0.0228
Total Execution Time  0.0240
  GET DATA  
No GET data exists
  MEMORY USAGE  
514,632 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/2252
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0039 seconds)  (Hide)
0.0003  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '801b9cb0a3893f8d7092bcb045acba2c859b56ce'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('bff6878e08c09ffd9078e423061364d5', 300) AS ci_session_lock ?>
0.0002  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '801b9cb0a3893f8d7092bcb045acba2c859b56ce'
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` = 2252
 LIMIT 1 ?>
0.0003  
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` = 2252
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` = 2252
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
0.0002  
SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 2252 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 17 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)