Movielogr

movie poster

Rating: 5.5 stars

Seen 2 times

Seen on: 06/13/2012, 03/12/2011

View on: IMDb | TMDb

Battle: Los Angeles (2011)

Directed by Jonathan Liebesman

Science Fiction

Most recently watched by sensoria, sensoria

Overview

When once distant UFOs become a terrifying threat attacking Earth, a Marine staff sergeant and his team take it upon themselves to face the enemy and protect what remains of the planet.

Rated PG-13 | Length 116 minutes

Actors

Lucas Till | Michael Peña | Aaron Eckhart | Jim Palmer | Michelle Rodriguez | Bridget Moynahan | Ne-Yo | E. Roger Mitchell | Rus Blackwell | Neil Brown Jr. | James Hiroyuki Liao | David Jensen | Taylor Handley | Ramón Rodríguez | Cory Hardrict | Noel Fisher | Jim Parrack | Brandi Coleman | Susie Abromeit | Keith Middlebrook | Joey King | Joe Chrest | Bryce Cass | Will Rothhaar | Gino Anthony Pesi | Marlon Young | Tom Hillmann | Michelle Pierce | Adetokumboh M'Cormack | Jadin Gould | Taryn Southern | Jessica Heap | Nzinga Blake | Kenneth Brown Jr. | Stacey Turner | Ava Bogle | Nick Jones Jr. | Phillip Lawrence | Lena Clark | Beth Keener | Jamie Norwood | Todd Cochran | James D. Dever | Alex Aristidis | Charlotte Biggs | Grant Case | Kurt Deville | Courtney Munch | Michael Wozniak

Viewing Notes

My kids had been anticipating this movie for some time, so we took the whole family out, met my friends Jay and Pat, and did a showing at the Muvico Mega Movie Palace. Muvico has the epically comfy seats and digital projection and THX certified sound system, so it’s the perfect place to view an explody, effects-laden popcorn movie like this.

And that’s exactly what Battle:LA is, make no mistake. If you showed up looking for involved plot or deep character profiles, well you’re the sucker. Ain’t none of that here!

I honestly don’t understand the critics who alternately bashed and lauded this movie before it came out. I heard everything from “greatest movie ever!” to “Worst Hollywood directed movie I ever saw.” Really? Then you must not get out much.

Shit blows up; there is CONSTANT gunfire and explosions, all nicely packaged with an interminable surge of patriotic music underscoring every bit of action.

It does play like a recruiting movie for the marines, which, along with the score, is perhaps the most annoying part of the whole thing.

There is also a lot of frenetic camerawork that threatened to make me ill in the first part of the movie, but either I adjusted to it or there was less of it later on in the movie, because I was fine 20 or so minutes in.

It did feel overly long, at 116 minutes. There were a few too many objectives that got a bit annoying.

Still, a fun, mindless bit of entertainment that I enjoyed for what it was. Ultimately forgettable, but I’ll probably buy it on Blu Ray just to rattle my subwoofer and enjoy bullets wizzing past my head.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0017
Controller Execution Time ( Members / Movie Detail )  0.0251
Total Execution Time  0.0268
  GET DATA  
No GET data exists
  MEMORY USAGE  
547,528 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/2277
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0062 seconds)  (Hide)
0.0004   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '1f0a90b85c81469c08e736b66f7c9ecf4a8d010e'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('48c111c2f1a9b65e3665a3e1af7c2ead'300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '1f0a90b85c81469c08e736b66f7c9ecf4a8d010e'
AND `ip_address` = '216.73.216.111' 
0.0004   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 
LIMIT 1 
0.0004   SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 2277
AND `MV`.`user_id` = 1
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0021   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_nameAS `genre_name_01`, `G2`.`genre_nameAS `genre_name_02`, `G3`.`genre_nameAS `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 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_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MPON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMTON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRCON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVCON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_ten_star` `STRON `MV`.`rating_id` = `STR`.`rating_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 `MV`.`movie_id` = 2277
AND `MV`.`user_id` = 1
ORDER BY 
`date_viewedDESC 
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` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 2277 
0.0002   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MTON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 2277 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 2277
 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` `MV2ON `MV`.`title_id` = `MV2`.`title_idAND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 2277
GROUP BY 
`MV2`.`movie_id`
ORDER BY `MV2`.`date_viewedDESC 
0.0002   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MUON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 2277 
0.0003   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` = 2079
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)