Movielogr

movie poster

Average Rating: 8/10

View on: IMDb | TMDb

The Amazing Spider-Man (2012)

Directed by Marc Webb

Most recently watched by sleestakk, krazykat, suspectk, suspectk, sensoria

Overview

Peter Parker is an outcast high schooler abandoned by his parents as a boy, leaving him to be raised by his Uncle Ben and Aunt May. Like most teenagers, Peter is trying to figure out who he is and how he got to be the person he is today. As Peter discovers a mysterious briefcase that belonged to his father, he begins a quest to understand his parents’ disappearance – leading him directly to Oscorp and the lab of Dr. Curt Connors, his father’s former partner. As Spider-Man is set on a collision course with Connors’ alter ego, The Lizard, Peter will make life-altering choices to use his powers and shape his destiny to become a hero.

Rated PG-13 | Length 136 minutes

Actors

Sally Field | Vincent Laresca | C. Thomas Howell | Denis Leary | Embeth Davidtz | Rhys Ifans | Stan Lee | Martin Sheen | Michael Massee | Jay Caputo | Keith Campbell | Michael Papajohn | Andrew Garfield | Emma Stone | Campbell Scott | John Burke | Hannah Marks | Skyler Gisondo | Ethan Cohn | Jennifer Lyons | Steve DeCastro | Tia Texada | Irrfan Khan | Kevin McCorkle | Danielle Burgio | Jill Flint | Kari Coleman | Barbara Eve Harris | Amanda MacDonald | Kelsey Asbille | Chris Zylka | Max Charles | Jacob Rodier | James Chen | Alexander Bedria | Miles Elliot | Leif Gantvoort | Mark Daugherty | Amber Stevens | Terry Bozeman | Andy Pessoa | Ty Upshaw | Jake Keiffer | Michael Barra | Andy Gladbach | Ring Hendricks-Tellefsen | Tom Waite | Max Bogner | Charlie DePew | Damien Lemon | Milton González | Miranda LaDawn Hill | Maury Morgan

  BENCHMARKS  
Loading Time: Base Classes  0.0013
Controller Execution Time ( Overview / Movie Detail )  0.0234
Total Execution Time  0.0260
  GET DATA  
No GET data exists
  MEMORY USAGE  
523,696 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/5020
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0043 seconds)  (Hide)
0.0005   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = 'c01fc3eeb14f5b5b8df3744e6d6670e6c87aea40'
AND `ip_address` = '216.73.216.137' 
0.0002   SELECT GET_LOCK('db70f5847a09dc42d24a831693e179fd'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'c01fc3eeb14f5b5b8df3744e6d6670e6c87aea40'
AND `ip_address` = '216.73.216.137' 
0.0003   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 5020
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0018   SELECT `MT`.`title_id`, `title`, `prefix`, `year`, `imdb_link`, `imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, MAX(MP.filename) AS filenameGROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directorsGROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_idsGROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actorsGROUP_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` `MPON `MT`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_junction_movies_directors` `JMDON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DRON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMAON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACTON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MT`.`title_id` = 5020
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` `MVON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MTON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 5020
ORDER BY 
`date_viewedDESC
 LIMIT 10 
0.0003   SELECT AVG(NULLIF(rating_id2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 5020 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 18 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)