Movielogr

Home

movie poster

Rating: 9 stars

Seen 2 times

Seen on: 10/29/2011, 05/25/2011

View on: IMDb | TMDb

Attack the Block (2011)

Directed by Joe Cornish

Science Fiction

Most recently watched by krazykat, jenerator, sensoria, noahphex, jenerator, sensoria, noahphex

Overview

A teen gang in a South London housing estate must team up with the other residents to protect their neighbourhood from a terrifying alien invasion.

Rated R | Length 88 minutes

Actors

Nick Frost | Joey Ansah | Jodie Whittaker | Adam Leese | Jumayn Hunter | Luke Treadaway | Chris Wilson | Adam Buxton | Flaminia Cinque | David Cann | Karl Collins | Sammy Williams | John Boyega | Terry Notary | Paige Meade | Danielle Vitalis | Lee Nicholas Harris | Alex Esmail | Leeon Jones | Selom Awadzi | Natasha Jones | Maggie McCarthy | Yvonne D'Alpra | Franz Drameh | Simon Howard | Gina Antwi | Michael Ajao | Jacey Sallés | Jermaine Smith | Lee Long | Dylan Charles | Stephanie Street

Viewing Notes

I’m lucky I have good friends who look out for me. If it weren’t for my friend @sleestakk I wouldn’t have had a pass to this free screening of Attack The Block. This was one of 25 different screenings across the U.S. for this as-yet-unreleased flick.

I loved this movie! It was just plain fun and cool. It maintained a great balance of comedy and sci-fi action, which, frankly, is pretty damned difficult to do.

Directed by Joe Cornish, who co-wrote the screenplay for the forthcoming TinTin movie, AtB is his first big screen movie. Congrats to him for knocking it out of the park!

AtB premiered at SXSW and there was a lot of talk about whether the thick British accents and heavy urban slang would prove to be a barrier to it doing well in the U.S. It DOES take some time to kind of get your hearing in sync with the dialogue, but that wasn’t a barrier to me at all. I think the accents and slang add a LOT to the movie. It just wouldn’t be the same if it were subtitled or dubbed.

I should also mention the soundtrack, which was a collaboration between The Basement Jaxx and Steven Price, who has done a ton of music editing, programming and composing for a long list of films, including Scott Pilgrim, Batman Begins and Lord of the Rings: Return of the King.

What really sets AtB apart is the great acting by a group of unknown kids, led by John Boyega as Moses. My favorites were Mayhem and Probs, played by Michael Ajao and Sammy Williams, two 9ish year old wannabe gangbangers, but all the kids did a great job in their respective roles.

If you get the chance to see this film, I highly recommend it, even if you have to go out of your way to do so. Here’s hoping it gets a U.S. release date from Screen Gems.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0015
Controller Execution Time ( Members / Movie Detail )  0.0276
Total Execution Time  0.0291
  GET DATA  
No GET data exists
  MEMORY USAGE  
550,048 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/2365
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0064 seconds)  (Hide)
0.0004   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'e43360766a95014cfaef73516254751c5561172d'
AND `ip_address` = '216.73.216.111' 
0.0004   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' 
0.0004   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 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` = 2365
AND `MV`.`user_id` = 1
 LIMIT 1 
0.0004   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0018   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` = 2365
AND `MV`.`user_id` = 1
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` = 2365 
0.0004   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` = 2365 
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` = 2365
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '20'
 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` = 1
AND `MV`.`movie_id` = 2365
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` = 2365 
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` = 2168
ORDER BY `date_viewed` DESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)