Movielogr

Home

movie poster

View on: IMDb | TMDb

Will Penny (1967)

Directed by Tom Gries

Overview

Will Penny, an aging cowpoke, takes a job on a ranch which requires him to ride the line of the property looking for trespassers or, worse, squatters. He finds that his cabin in the high mountains has been appropriated by a woman whose guide to Oregon has deserted her and her son. Too ashamed to kick mother and child out just as the bitter winter of the mountains sets in, he agrees to share the cabin until the spring thaw. But it isn’t just the snow that slowly thaws; the lonely man and woman soon forget their mutual hostility and start developing a deep love for one another.

Rated NR | Length 110 minutes

Actors

Matt Clark | Anthony Zerbe | G. D. Spradlin | Bruce Dern | Ben Johnson | Luke Askew | Donald Pleasence | Jon Gries | Charlton Heston | Clifton James | Roy Jenson | Slim Pickens | William Schallert | Joan Hackett | Lee Majors | Anthony Costello | Gene Rutherford | Quentin Dean | Lydia Clarke | Robert Luster | Chanin Hale | Dal Jenkins

  BENCHMARKS  
Loading Time: Base Classes  0.0013
Controller Execution Time ( Overview / Movie Detail )  0.0187
Total Execution Time  0.0200
  GET DATA  
No GET data exists
  MEMORY USAGE  
518,520 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/7169
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0035 seconds)  (Hide)
0.0004   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'ecf169f665793d2d227d2544fc73c59956f0452c'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('dec3988d182f21d16f58e9c2027d2707', 300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'ecf169f665793d2d227d2544fc73c59956f0452c'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 7169
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0013   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` = 7169
GROUP BY `title_id` 
0.0001   SET SESSION group_concat_max_len = 1024 
0.0003   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` = 7169
ORDER BY `date_viewed` DESC
 LIMIT 10 
0.0003   SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 7169 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 0 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)