Movielogr

movie poster

Rating: 4.5 stars

Seen 1 time

Seen on: 03/07/2011

View on: IMDb | TMDb

Legendary Assassin (2008)

Directed by Wu Jing, Nicky Li Chung-Chi

Action

Most recently watched by sensoria

Overview

An assassin who is fresh from his latest kill becomes stranded in an island, when he inadvertently befriends a female police officer. As the night progresses, the unspoken truth honored by the two sides of the law is broken. After the remains of a body that belonged to a drug lord and syndicate crime leader are found, chaos ensues and criminals ravage the once peaceful streets in a race against time to find the mysterious murderer that’s loose and out for blood.

Rated R | Length 89 minutes

Actors

Lam Suet | Hui Siu-Hung | Mark Cheng | Ken Lo | Ronald Cheng | Wu Jing | Kara Hui | Woon Ling Hau | Noriko Aoyama | Tam Kon-Chung | Alex Fong Lik-Sun | Chan Siu-Wah | Sam Kai-Sen Huang | Sammy Leung | Tenky Tin Kai-Man | Celina Jade | Buffalo Tang Tai-Wo | Jiang Baocheng | Chow Man-Wai | Mak Chi-Wai | Kou Zhan Wen | Heaven Ho Yat-Wah | Lai Chi-Wai | Mark Cheung Yiu-Fai | Chan Tat-Kwong | Tam Tin-Bo | Xueliang Zhu | Terry Lee Ji-Ming | Cheung Sing-Yuk | Siu Yin-Ming | Zhang Chi | Dang Shan-Peng | Ng Hau-Yiu | Chan Wing-Kuen | Chin Yiu-Wing | Alex Lee Yip-Kin | Shek Chi-Wing | Leung Han-Yuan | Jamie Wong Ching-Mei | Ng Pok-Yee | Leo Lai Ping-Kuen | Cheung Kwok-Hung | Lam Yat-Biu | Li Yang | Chen Xinqiang

Viewing Notes

Oh Legendary Assassin, I wanted to love you like a good throwback ‘80s era Hong Kong action flick, but you weren’t committed enough.

The martial arts action is pretty decent, though the end battle royale suffers from the Matrix effect where the director thought adding huge amounts of enemies would make it more epic. Instead it buries the action in a sea of mediocrity. I’d rather have seen the protagonist tee off on a half dozen or so henchmen in some well choreographed scenes than to see him mow down black-clad baddies like he was cutting grass. Just didn’t work well for me.

There’s also a lot of frivolous, semi-comedic crap that passes for story in-between the action set pieces. It was poorly timed and didn’t fit very well.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0015
Controller Execution Time ( Members / Movie Detail )  0.0263
Total Execution Time  0.0278
  GET DATA  
No GET data exists
  MEMORY USAGE  
545,704 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/2267
  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` = '441d1658a9f2fdb43bef1fdcffb05e35a2b4bb09'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('0eccdfebe6dc7880646d0f405e1477d4'300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '441d1658a9f2fdb43bef1fdcffb05e35a2b4bb09'
AND `ip_address` = '216.73.216.111' 
0.0003   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` `MVON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 2267
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 
0.0025   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_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` = 2267
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` = 2267 
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` = 2267 
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` = 2267
 LIMIT 1 
0.0001   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '11'
 
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` = 2267
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` = 2267 
0.0002   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` = 2069
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)