Movielogr

movie poster

Rating: 8 stars

Seen 1 time

Seen on: 12/27/2004

View on: IMDb | TMDb

The Life Aquatic with Steve Zissou (2004)

Directed by Wes Anderson

Comedy | Adventure | Drama

Most recently watched by sleestakk

Overview

Renowned oceanographer Steve Zissou has sworn vengeance upon the rare shark that devoured a member of his crew. In addition to his regular team, he is joined on his boat by Ned, a man who believes Zissou to be his father, and Jane, a journalist pregnant by a married man. They travel the sea, all too often running into pirates and, perhaps more traumatically, various figures from Zissou’s past, including his estranged wife, Eleanor.

Rated R | Length 119 minutes

Actors

Cate Blanchett | Owen Wilson | Noah Taylor | Bill Murray | Rudd Simmons | Jeff Goldblum | Bud Cort | Willem Dafoe | Waris Ahluwalia | Noah Baumbach | Anjelica Huston | Michael Gambon | Seu Jorge | Matthew Gray Gubler | Antonio Monda | Isabella Blow | Stefano Maria Ortolani | Seymour Cassel | Daniel Acon | Anna Orso | Hal Yamanouchi | Niccolò Senni | Robert Sommer | Stefano Masciolini | Pietro Ragusa | Robyn Cohen | Robert Graham | Jacques Henri Lartigue | Erminio Bianchi Fasani | Eric Chase Anderson | James Hamilton | Pawel Wdowczak | Nazzareno Piana | Melanie Gerren | Ettore Conti | Tony Shafrazi | Francis Dokyi | Don McKinnon | Niels Koizumi | Alessandro De Angelis | Leonardo Giovannelli | Henry S. F. Cooper Jr. | Robert Wilson | Alessio Santini | Paolo Sirignani | Andrew Weisell | Andrea Guerra | Christiano Irrera | Marco Ciarlitto | Sylvie Genin | Muzius Gordon Dietzmann | Gangyuan Xu | Robin Scott | Guglielmo Casciaro | Andrea Bertone | Andriy Kachur | Roberto Salvi | Conrado Mendoza Dolor | Eduardo Bautista Grantuza | Simeon Maragigak Agelion | Walter Cajapao Casapao | Honorato Ilao Reyes | Roderick Magbay | Demetreo Castillo | Thomas Carwgal de la Pena | Edwarren Bantungon | Levi Mickael de Ramon | Aries Corales | Aries Dolor Ilagon | Joseph de los Reyes | Dennis Rayos Martinez | Tatyo Yamanouchi | Wai Tung Wong | Ging Fang Zhu | Begni Bok Dong | Alexander Hamilton

Viewing Notes

Came home from the holiday in the Quad Cities and immediately went to see the latest from Wes Anderson. Initially didn’t think I’d care too much for this movie but by the end I realized that I really love it. Not my favorite of his but really close.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0015
Controller Execution Time ( Members / Movie Detail )  0.2448
Total Execution Time  0.2463
  GET DATA  
No GET data exists
  MEMORY USAGE  
540,816 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/7760
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.2183 seconds)  (Hide)
0.0006  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '87c0646d7cf186c1de4b587c9b648a8b9c175b91'
AND `ip_address` = '216.73.216.6' ?>
0.2109  
SELECT GET_LOCK('0840386592ce273b2f3ff5a989492121', 300) AS ci_session_lock ?>
0.0003  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '87c0646d7cf186c1de4b587c9b648a8b9c175b91'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sleestakk'
 LIMIT 1 ?>
0.0003  
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` = 7760
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 ?>
0.0030  
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` = 7760
AND `MV`.`user_id` = 9
ORDER BY `date_viewed` DESC ?>
0.0002  
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` = 7760 ?>
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` = 7760 ?>
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` = 7760
 LIMIT 1 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '18'
 LIMIT 1 ?>
0.0005  
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` = 7760
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` = 7760 ?>
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` = 4511
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)