Movielogr

movie poster

Rating: 5 stars

Tags

horror movie night RD's Place

Seen 1 time

Seen on: 03/21/2012 (rewatch)

View on: IMDb | TMDb

Frankenhooker (1990)

Directed by Frank Henenlotter

Horror | Comedy

Most recently watched by sleestakk, zombiefreak, noahphex

Overview

A medical school dropout loses his fiancée in a tragic lawnmower incident and decides to bring her back to life. Unfortunately, he was only able to save her head, so he goes to the red light district in the city and lures prostitutes into a hotel room so he can collect body parts to reassemble her.

Rated R | Length 85 minutes

Actors

Louise Lasser | Kathleen Gati | Anibal O. Lleras | Shirley Stoler | Frank Henenlotter | Jennifer Delora | Beverly Bonner | John Zacherle | Charlotte J. Helmkamp | Kimberly Taylor | Susan Napoli | Ari M. Roussimoff | Carrotte | James Lorinz | Helmar Augustus Cooper | Max Brandt | Dominic Marcus | David Lipman | Sonya Hensley | Judy Young | Patty Mullen | Joanne Ritchie | J.J. Clark | Joseph Gonzalez | Tom Hair | Lia Chang | Heather Hunter | Vicki Darnell | Sandy Colosimo | Judy Grafe | Eren Ozker | Shirl Bernheim | Richard Casey | Jan Saint | Glenn J. Cohen | C.K. Steefel | Gittan Goding | James Smythe | Gregory Gilbert | Avind Harum | Thomas Crognale | Paul-Felix Montez | Alan Pratt | James Farley | Sam Gordon

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0018
Controller Execution Time ( Members / Movie Detail )  0.0549
Total Execution Time  0.0568
  GET DATA  
No GET data exists
  MEMORY USAGE  
532,472 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/zombiefreak/movie_detail/2594
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 16 (0.0206 seconds)  (Hide)
0.0002  
SELECT GET_LOCK('a49daed51d54f1b2024b7b10ec1a3b18', 300) AS ci_session_lock ?>
0.0008  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'e8c69842864c0ee19c1f8649615a231a0d5295a5'
AND `ip_address` = '216.73.216.6' ?>
0.0008  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'zombiefreak'
 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` = 2594
AND `MV`.`user_id` = 40
 LIMIT 1 ?>
0.0004  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 40
 LIMIT 1 ?>
0.0002  
SET SESSION group_concat_max_len = 12288 ?>
0.0117  
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` = 2594
AND `MV`.`user_id` = 40
ORDER BY `date_viewed` DESC ?>
0.0002  
SET SESSION group_concat_max_len = 1024 ?>
0.0032  
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` = 2594 ?>
0.0006  
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` = 2594 ?>
0.0003  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 40
 LIMIT 1 ?>
0.0003  
SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 40
AND `MV`.`movie_id` = 2594
 LIMIT 1 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '22'
 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` = 40
AND `MV`.`movie_id` = 2594
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC ?>
0.0004  
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` = 2594 ?>
0.0006  
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` = 2372
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)