Movielogr

movie poster

Average Rating: 7/10

View on: IMDb | TMDb

Grizzly (1976)

Directed by William Girdler

Most recently watched by noahphex

Overview

An eighteen-foot grizzly bear figures out that humans make for a tasty treat. As a park ranger tries rallying his men to bring about the bear’s capture or destruction, his efforts are thwarted by the introduction of dozens of drunken hunters into the area.

Rated PG | Length 91 minutes

Actors

Joe Dorsey | Andrew Prine | Christopher George | Richard Jaeckel | Kermit Echols | Susan Orpin | Joan McCall | Sandra Dorsey | Tom Arcuragi | Charles Kissinger | Victoria Johnson | Mike Clifford | Harvey Flaxman | Mary Ann Hearn | Kathy Rickman | David Newton | Mike Gerschefski | Teddy

  BENCHMARKS  
Loading Time: Base Classes  0.0013
Controller Execution Time ( Overview / Movie Detail )  0.0224
Total Execution Time  0.0236
  GET DATA  
No GET data exists
  MEMORY USAGE  
514,672 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/2647
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0038 seconds)  (Hide)
0.0005  
SELECT 1
FROM `ml_sessions`
WHERE `id` = 'e115a6749a45b864c07630dfc31af2ff0fd0d33d'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('b9beb1a76d6d8d3890e3a3209be5ebfa', 300) AS ci_session_lock ?>
0.0003  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'e115a6749a45b864c07630dfc31af2ff0fd0d33d'
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` = 2647
 LIMIT 1 ?>
0.0003  
SET SESSION group_concat_max_len = 12288 ?>
0.0012  
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` = 2647
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` = 2647
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
0.0003  
SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 2647 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 16 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)