Movielogr

Home

movie poster

Average Rating: 6.5/10

View on: IMDb | TMDb

Die, Monster, Die! (1965)

Directed by Daniel Haller

Most recently watched by sensoria

Overview

A young man visits his fiancé‘s estate to discover that her wheelchair-bound scientist father has discovered a meteorite that emits mutating radiation rays that have turned the plants in his greenhouse to giants. When his own wife falls victim to this mysterious power, the old man takes it upon himself to destroy the glowing object with disastrous results.

Length 80 minutes

Actors

Patrick Magee | Paul Farrell | Sheila Raynor | Nick Adams | Boris Karloff | Sydney Bromley | Freda Jackson | Suzan Farmer | Terence De Marney | Leslie Dwyer | Billy Milton | Harold Goodwin

  BENCHMARKS  
Loading Time: Base Classes  0.0021
Controller Execution Time ( Overview / Movie Detail )  0.0289
Total Execution Time  0.0310
  GET DATA  
No GET data exists
  MEMORY USAGE  
506,328 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/4173
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0025 seconds)  (Hide)
0.0002  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '127afcabda7e416d7d3e0a8609277d39add1adad'
AND `ip_address` = '216.73.216.145' ?>
0.0002  
SELECT GET_LOCK('d7c2c3b4632590ec5f2c8584db6284d4', 300) AS ci_session_lock ?>
0.0002  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '127afcabda7e416d7d3e0a8609277d39add1adad'
AND `ip_address` = '216.73.216.145' ?>
0.0002  
SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 4173
 LIMIT 1 ?>
0.0001  
SET SESSION group_concat_max_len = 12288 ?>
0.0010  
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` = 4173
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` = 4173
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
0.0002  
SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 4173 ?>
0.0001  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 15 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)