Movielogr

movie poster

Rating: 2.5 stars

Seen 1 time

Seen on: 05/05/2012

View on: IMDb | TMDb

Hard Hunted (1992)

Directed by Andy Sidaris

Action

Most recently watched by noahphex

Overview

A nuclear trigger has been smuggled to the Middle East by an evil mastermind named Kane, and the weapons could upset the delicate balance of power in the region if they fall into the wrong hands. It’s up to three bombshell federal agents to avert disaster and restore the precarious balance.

Rated R | Length 97 minutes

Actors

Buzzy Kerbox | Geoffrey Moore | Skip Ward | Michael J. Shane | Al Leong | Chu Chu Malave | Roberta Vasquez | Brett Baxter Clark | Bruce Penhall | Dona Speir | Cynthia Brimhall | Carolyn Liu | Ava Cadell | Christian Drew Sidaris | Rodd Saunders | David Friend | Rodrigo Obregón | Richard Cansino | Tony Peck | Becky Mullen | Brian Bennos | Mika Quintard | Ken Feinberg | David Hadder | Wess Shannon Rahn | Paul Cody | Joe Gianpietro | Aaron Victorbrook | Steven Matt | Karen Klosterman | Viviane Brahms | Bern Mueller | Richard Bentley | Eric Brahms | Robert Carillo | Sebastian Fent | Leland McKinney | Willa Dean Crow | Echo Yamashita | Blake Yamashita | Tony Guzman

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0016
Controller Execution Time ( Members / Movie Detail )  0.0263
Total Execution Time  0.0279
  GET DATA  
No GET data exists
  MEMORY USAGE  
536,472 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/noahphex/movie_detail/7398
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0073 seconds)  (Hide)
0.0003   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '02c4d2ee801a9c66a51f5d8160ad78aa4e39f2f3'
AND `ip_address` = '216.73.216.111' 
0.0006   SELECT GET_LOCK('f237ce16d38893c1e44ddf8514b33dbb'300) AS ci_session_lock 
0.0005   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '02c4d2ee801a9c66a51f5d8160ad78aa4e39f2f3'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'noahphex'
 
LIMIT 1 
0.0002   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` = 7398
AND `MV`.`user_id` = 8
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0028   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_five_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` = 7398
AND `MV`.`user_id` = 8
ORDER BY 
`date_viewedDESC 
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` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 7398 
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` = 7398 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0003   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 8
AND `MV`.`movie_id` = 7398
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '12'
 
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` = 8
AND `MV`.`movie_id` = 7398
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` = 7398 
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` = 4265
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)