Movielogr

movie poster

Average Rating: 8.5/10

View on: IMDb | TMDb

Sex and Fury (1973)

Directed by Norifumi Suzuki

Most recently watched by sensoria

Overview

Sex & Fury chronicles Ocho’s exploits as she searches for her father’s killers, each identified by unique tattoos on their backs (a deer, a boar, and a butterfly). Along the way, she also crosses paths with Shonusuke, a radical set on murdering prominent politician Kurokawa and Christina, an American spy posing as a gambler.

Rated R | Length 88 minutes

Actors

Taiji Tonoyama | Christina Lindberg | Seizaburô Kawazu | Tatsuo Endō | Reiko Ike | Akemi Negishi | Ryôko Ema | Yôko Hori | Naomi Oka | Rena Ichinose | Rie Saotome | Jun Midorikawa | Tadashi Naruse | Takashi Shirai | Akira Ôizumi | Masaru Shiga | Yôko Mihara | Hiroshi Nawa | Mike Daneen | Shunji Sasaki | Masaharu Arikawa | Kyôko Tsukasa | Katsumasa Uchida | Ryôta Minowada | Kinji Nakamura | Hachirō Oka | Shin'ichirô Hayashi | Kuniomi Kitani | Tsuyoshi Arita | Yuzuru Moritani | Maaku Daarin

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Overview / Movie Detail )  0.0221
Total Execution Time  0.0236
  GET DATA  
No GET data exists
  MEMORY USAGE  
515,008 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/2034
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0047 seconds)  (Hide)
0.0004  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '40d44748b1657f85e7ea7c2732bbb80bc471b8e2'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('391f5ec3e8324ad21c4b53ccb66ed953', 300) AS ci_session_lock ?>
0.0002  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '40d44748b1657f85e7ea7c2732bbb80bc471b8e2'
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` = 2034
 LIMIT 1 ?>
0.0009  
SET SESSION group_concat_max_len = 12288 ?>
0.0020  
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` = 2034
GROUP BY `title_id` ?>
0.0001  
SET SESSION group_concat_max_len = 1024 ?>
0.0002  
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` = 2034
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
0.0002  
SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 2034 ?>
0.0001  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 19 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)