Movielogr

Home

movie poster

Rating: 5.5 stars

Seen 1 time

Seen on: 05/04/2007

View on: IMDb | TMDb

Spider-Man 3 (2007)

Directed by Sam Raimi

Action | Fantasy

Most recently watched by sleestakk

Overview

The seemingly invincible Spider-Man goes up against an all-new crop of villains—including the shape-shifting Sandman. While Spider-Man’s superpowers are altered by an alien organism, his alter ego, Peter Parker, deals with nemesis Eddie Brock and also gets caught up in a love triangle.

Rated PG-13 | Length 139 minutes

Actors

Kirsten Dunst | Tobey Maguire | Elya Baskin | James Cromwell | Willem Dafoe | Bill Nunn | Perla Haney-Jardine | Stan Lee | Theresa Russell | Elizabeth Banks | Bruce Campbell | Timothy Patrick Quill | Ted Raimi | James Franco | Topher Grace | Bryce Dallas Howard | Rosemary Harris | J.K. Simmons | Dylan Baker | Cliff Robertson | Thomas Haden Church | John Paxton | Joe Manganiello | Michael Papajohn | Mageina Tovah | Dan Callahan | Reynaldo Gallegos | Emilio Rivera | Becky Ann Baker | Bria Roberts | Paul Terrell Clayton | Gregg Daniel | Steve Valentine | Keith Woulard | Dean Edwards | Toni Wynne | Natalie Jones | Joe Bays | Brenna Roth | David Backus | Lucy Gordon | Hal Fishman | Nick Poltoranin | Marc Vann | Martha Millan | Sonya Maddox | Carolyn Neff | Mark Kubr | Christopher Stadulis | Irina Costa | Robert Curtis Brown | Michael Ciesla | Andre B. Blake | Margaret Laney | Pierangeli Llinas | Jen Oda | Crystal Marie Denha | Jennifer Weston | Tim Maculan | Bernadette Lords | Brittany Krall | Andrew James Jones | Jennifer Sparks | Anjelia Pelay | Ray Wineteer | Vanessa Ross | April Parker-Jones | Emma Raimi | Tony Besson | Rogelio T. Ramos | Aija Terauda | John Crann | Paul Edney | Sincerely A. Ward | Logan Fry | Brian Hopson | Frank Anello | Christina Cindrich | Shade Rupe | Claudia Katz Minnick | Bill E. Rogers | Joe Virzi | Arne Starr | Kathryn Bryding | Michael Alexander | Edward Padilla | Derrick 'Phoenix' Thomas | Jessi Collins | Michael McLaughlin | Anne Gartlan | Jim Coope | Aimee Miles | Tanya Bond | Anya Avaeva | Amy V. Dewhurst | Keith Fausnaught | Kevin Fung | Tony Galtieri | Christopher Jude | Natalie McNeil | Michele-Nanette Miller | Vanessa Reseland | La Rivers | Daniel Shafer | Abbey Skinner | Kristin Somo | Evelyn Vaccaro | Nick Vlassopoulos | Henry Raimi | Lorne Raimi | Ron King | Emily Eckes | Menachem Mendel Boymelgreen | Nasir Stewart | Austin Hendrickson | Taylor Hemhauser | Alan Cohn | Carol Chaikin | Daniel Cummings | Vance Hammond | Samantha Ressler

Viewing Notes

So weird that I have such a vivid memory of when I went to see this… maybe because I had such high hopes? Two hours later that was all washed away. Such a disappointing mishmash of missed opportunities to make something great with some great characters. Not sure when I’ll ever watch this again.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0017
Controller Execution Time ( Members / Movie Detail )  0.0280
Total Execution Time  0.0297
  GET DATA  
No GET data exists
  MEMORY USAGE  
555,312 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/7580
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0075 seconds)  (Hide)
0.0004   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'af7d79bd058c0fcaed76a556b868f8d16e958908'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('0723728af18f4683c9b4d7fc4908a2d1', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'af7d79bd058c0fcaed76a556b868f8d16e958908'
AND `ip_address` = '216.73.216.111' 
0.0004   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sleestakk'
 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` = 7580
AND `MV`.`user_id` = 9
 LIMIT 1 
0.0004   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0032   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_ten_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` = 7580
AND `MV`.`user_id` = 9
ORDER BY `date_viewed` DESC 
0.0001   SET SESSION group_concat_max_len = 1024 
0.0002   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` = 7580 
0.0002   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` = 7580 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 9
AND `MV`.`movie_id` = 7580
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '13'
 LIMIT 1 
0.0003   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` = 9
AND `MV`.`movie_id` = 7580
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC 
0.0002   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` = 7580 
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` = 4389
ORDER BY `date_viewed` DESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)