Movielogr

movie poster

Rating: 7 stars

Seen 1 time

Seen on: 06/21/2005

View on: IMDb | TMDb

Mr. & Mrs. Smith (2005)

Directed by Doug Liman

Action | Comedy | Romance

Most recently watched by sleestakk

Overview

After five (or six) years of vanilla-wedded bliss, ordinary suburbanites John and Jane Smith are stuck in a huge rut. Unbeknownst to each other, they are both coolly lethal, highly-paid assassins working for rival organisations. When they discover they’re each other’s next target, their secret lives collide in a spicy, explosive mix of wicked comedy, pent-up passion, nonstop action and high-tech weaponry.

Rated PG-13 | Length 119 minutes

Actors

Brad Pitt | William Fichtner | Chris Weitz | Greg Ellis | Vince Vaughn | Mark Ivanir | Mo Gallini | Matt McColm | Angela Bassett | Simon Kinberg | Angelina Jolie | Adam Brody | Kerry Washington | Rachael Huntley | Michelle Monaghan | Tony Longo | Julius Callahan | Jennifer Morrison | Ravil Isyanov | Megan Gallagher | Jeff Yagher | Chris Daniels | Patrika Darbo | Kim H. Winther | Jimmy Shubert | Peter Lavin | Stephanie March | Ron Bottitta | Keith David | Perrey Reeves | Noah Dahl | Ali Marsh | Benton Jennings | Maree Cheatham | Sean Mahon | Sabi Dorr | Amy Hathaway | Stephanie Ittleson | Melissa Hurley | Elijah Alexander | Michael Winther | Hawk Younkins | Tyce Diorio | David Block | Janelle Giumarra | Bryan Anthony | Mark Newsom | Leonard Robinson | Theresa Barrera | Melanie Tolbert | Kathrine Herzer | Kevin Makely | Patricia Donaldson | John Branch | Sam Sabbah | Deren Tadlock | Miguel Angel Caballero | Carol Mack | R.J. Durell | Liz Ramos | Michael Morris | Edward Padilla | Shilo Frontierro | Jerry T. Adams | Lisa Gabriel | Eugene C. Palmer | Bill Viney | Heather Petrone | Victor A. Chapa | Laine Collins | Jennifer DeMille | Michael-John Wolfe | Merrilee Dale | Douglas Caldwell | Mike McCaul | Gloria Rodriguez | Hans F. Alexander | Lauryn Alvarez | Burke Armstrong | Earl H. Bullock | David Escobedo | Kaela Freeman | Jessica Hedden | Nigel Hudson | Derek Medina | Will Moore | Joel Munoz | Richie Ornelas | Jordan Osher | Luis Racer | Felix A. Ruiz | Kim Schioldan | Ty Sharp | Abigail Rose Solomon | Hannah Von Kanel | Jacqui Landrum | Linda Kathleen Taylor | Anne Vardanian | Ara Vardanian | Luis Vasquez | John W. Woodruff

Viewing Notes

Had a lot of fun with this but admittedly wasn’t expecting much. Turns out Brad and Angelina have some great on-screen chemistry. They make a good couple in a fun action romp.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0017
Controller Execution Time ( Members / Movie Detail )  0.0329
Total Execution Time  0.0347
  GET DATA  
No GET data exists
  MEMORY USAGE  
541,080 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/7678
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0089 seconds)  (Hide)
0.0003  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '52afb5fdfec7f97d44c5f7c1a20226e894898425'
AND `ip_address` = '216.73.216.6' ?>
0.0022  
SELECT GET_LOCK('9b97b09e7de1277c39b98e338a62100f', 300) AS ci_session_lock ?>
0.0003  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '52afb5fdfec7f97d44c5f7c1a20226e894898425'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
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` = 7678
AND `MV`.`user_id` = 9
 LIMIT 1 ?>
0.0003  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 ?>
0.0006  
SET SESSION group_concat_max_len = 12288 ?>
0.0025  
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` = 7678
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` = 7678 ?>
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` = 7678 ?>
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` = 7678
 LIMIT 1 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '16'
 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` = 7678
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC ?>
0.0003  
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` = 7678 ?>
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` = 4461
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)