Movielogr

Home

movie poster

Rating: 7 stars

Seen 1 time

Seen on: 01/13/2011

View on: IMDb | TMDb

Green Zone (2010)

Directed by Paul Greengrass

Action | War | Drama

Most recently watched by sensoria, sleestakk

Overview

During the U.S.-led occupation of Baghdad in 2003, Chief Warrant Officer Roy Miller and his team of Army inspectors are dispatched to find weapons of mass destruction believed to be stockpiled in the Iraqi desert. Rocketing from one booby-trapped and treacherous site to the next, the men search for deadly chemical agents but stumble instead upon an elaborate cover-up that threatens to invert the purpose of their mission.

Rated R | Length 115 minutes

Actors

Matt Damon | Brendan Gleeson | Jason Isaacs | Greg Kinnear | Antoni Corone | Michael O'Neill | Martin McDougall | Amy Ryan | Igal Naor | Khalid Abdalla | Raad Rawi | Nicoye Banks | Mohamed Kafi | Said Faraj | Eric Loren | Patrick St. Esprit | Faycal Attougui | Aymen Hamdouchi | Jerry Della Salla | Sean Huze | Edouard H.R. Gluck | Brian Siefkes | Adam Wendling | Abdul Henderson | Paul Karsko | Eugene Cherry | Alexander Drum | Brian VanRiper | Matthew Knott | John Roberson | Troy Brown | Bijan Daneshmand | Bryan Reents | Michael Judge | Allen Vaught | Paul Rieckhoff | Timothy Ahern | Ben Sliney | Whitley Bruner | Intishal Al Timimi | Driss Roukhe | Muayad Ali | Jamal Selmaoui | Kadhum Sabur | Hillal Boubker | Soumaya Akaaboune | Thamou El Metouani | Salah Eddine Elamari | Naji El Jouhary | Aroun Benchkaroun | Hajar Machroune | Scott Berendes | Abdelkrim Assad | Tyler Christen | Adam Mackey | Ben Holland | Jeffrey John Carisalez | Jonathan Stone | James Hodges | Larry Lewis | William Oakes | Ziad Adwan | Ian Bendel | Venie Joshua | Miguel Berroa | Peter Shayhorn | Miguel Palaugalarza | Christopher Lilly | Sabir Ed-Dayab | Omar Berdouni | Alex Moore | Alistair Bailey | Paul Cloutier | Wallace Bagwell | William Meredith | Tommy Campbell | James Wills | Jered Bezemek | Johnny Nilsson | Salman Hassan | Ammar Khdir | Youssif Falah-Jassem | Latif Al Anzi | Robert Miller | Michael J. Dwyer | Nathan Lewis | Michael Diaz

Viewing Notes

I skipped this last year because of the mixed reactions. That and it being yet another glimpse into the conflict in Iraq was enough to keep me away. Wish I hadn’t because I enjoyed what Greengrass did and the presence of Matt Damon, who sells it. Jason Isaacs is also darn good for the role he’s given. Not a perfect film but enough tension to make it a worthwhile watch.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0226
Total Execution Time  0.0241
  GET DATA  
No GET data exists
  MEMORY USAGE  
547,144 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/9046
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0062 seconds)  (Hide)
0.0003   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'e43360766a95014cfaef73516254751c5561172d'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('e85a7d1255521594ad4e8a5264f1d53b', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'e43360766a95014cfaef73516254751c5561172d'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sleestakk'
 LIMIT 1 
0.0002   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` = 9046
AND `MV`.`user_id` = 9
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0022   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` = 9046
AND `MV`.`user_id` = 9
ORDER BY `date_viewed` DESC 
0.0002   SET SESSION group_concat_max_len = 1024 
0.0003   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` = 9046 
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` = 9046 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0001   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 9
AND `MV`.`movie_id` = 9046
 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` = 9046
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` = 9046 
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` = 4149
ORDER BY `date_viewed` DESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)