Movielogr

Home

movie poster

Average Rating: 9/10

View on: IMDb | TMDb

Silmido (2003)

Directed by Kang Woo-Suk

Most recently watched by jenerator

Overview

On 31 January 1968, 31 North Korean commandos infiltrated South Korea in a failed mission to assassinate President Park Chung-hee. In revenge, the South Korean military assembled a team of 31 criminals on the island of Silmido to kill Kim Il-sung for a suicide mission to redeem their honor, but was cancelled, leaving them frustrated. It is loosely based on a military uprising in the 1970s.

Length 135 minutes

Actors

Ahn Sung-Ki | Seong-jin Kang | Lee Jeong-heon | Heo Jun-Ho | Jung Jae-Young | Kim Kang-Woo | Sol Kyung-Gu | Kang Shin-il | Kim Hyeong-jong | Jung Yu-mi | Im Won-hee | Uhm Tae-woong | Ji-Hwan Jo | Lee Seok-ku | Cho Jae-wan | Won Woong-jae | Song Yong-tae | Yoo Sang-seob | Sin Sin-beom | Lee Sang-hong | Choi Young | Lee Seung-cheol | Ryoo Je-seung | Choi Min-geum | Choi Yeon-sik | Park Seoung-tae | Lee Jong-mun | Lee Hyo-jeong | Shin Duk-ho | Lee Gyeong-geun | Kim Hong-taek | Rho Jun-ho | Jung Gi-seong

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Overview / Movie Detail )  0.0522
Total Execution Time  0.0536
  GET DATA  
No GET data exists
  MEMORY USAGE  
519,552 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/3995
  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` = '07ee463723dc6eceadf1f3bdec857a6b2b54628c'
AND `ip_address` = '216.73.216.137' 
0.0003   SELECT GET_LOCK('5befed99594df5196eb0c087b41c9c56', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '07ee463723dc6eceadf1f3bdec857a6b2b54628c'
AND `ip_address` = '216.73.216.137' 
0.0003   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 3995
 LIMIT 1 
0.0003   SET SESSION group_concat_max_len = 12288 
0.0014   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` = 3995
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` = 3995
ORDER BY `date_viewed` DESC
 LIMIT 10 
0.0002   SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 3995 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 20 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)