Movielogr

movie poster

Average Rating: 6/10

View on: IMDb | TMDb

Piranhaconda (2012)

Directed by Jim Wynorski

Most recently watched by sleestakk

Overview

A hybrid creature - half piranha and half anaconda—attacks a low-budget horror movie crew on location near her nest when her egg is stolen. Now they must outrun and kill the deadly piranhaconda as well as stop the mad scientist who stole the egg - before they all become dinner.

Length 90 minutes

Actors

Michael Madsen | Christina DeRosa | Tate Steinsiek | Jed Rowen | Rachel Hunter | Chris De Christopher | Angie Savage | Michael Swan | Noah Blake | Rib Hillis | Diana Terranova | Teri Ivens | Kurt Yaeger | Cindy Lucas | Shandi Finnessey | Erika Jordan | Jenny Lin | Syd Wilder | Steven Louis Goldenberg | Mark Banning | Damien Moreno | Matthew Scott Townsend | Amber Malia Laka Ali | Ford Thaxton | Nadia Troche | Leonard Vegas | Grant Holcomb | Tony Trpkovski | Paul Trpkovski | Duane Akau | Roland Tanicala

  BENCHMARKS  
Loading Time: Base Classes  0.0013
Controller Execution Time ( Overview / Movie Detail )  0.0277
Total Execution Time  0.0290
  GET DATA  
No GET data exists
  MEMORY USAGE  
519,376 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/4865
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0102 seconds)  (Hide)
0.0003   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '08e75d9d063aa7cfd43d3eabc68feb64698f48ae'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('bcdd8d629544123613be98eaf77db967'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '08e75d9d063aa7cfd43d3eabc68feb64698f48ae'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 4865
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0077   SELECT `MT`.`title_id`, `title`, `prefix`, `year`, `imdb_link`, `imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, MAX(MP.filename) AS filenameGROUP_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_movie_posters` `MPON `MT`.`title_id` = `MP`.`title_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 `MT`.`title_id` = 4865
GROUP BY 
`title_id
0.0002   SET SESSION group_concat_max_len 1024 
0.0004   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` = 4865
ORDER BY 
`date_viewedDESC
 LIMIT 10 
0.0003   SELECT AVG(NULLIF(rating_id2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 4865 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 14 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)