Movielogr

Home

movie poster

Average Rating: 7/10

View on: IMDb | TMDb

City of Ember (2008)

Directed by Gil Kenan

Most recently watched by sleestakk

Overview

For generations, the people of the City of Ember have flourished in an amazing world of glittering lights. But Ember’s once powerful generator is failing and the great lamps that illuminate the city are starting to flicker. Now, two teenagers, in a race against time, must search Ember for clues that will unlock the ancient mystery of the city’s existence, before the the lights go out forever.

Rated PG | Length 90 minutes

Actors

Tim Robbins | Bill Murray | Mackenzie Crook | Martin Landau | Mary Kay Place | Liz Smith | Toby Jones | Marianne Jean-Baptiste | David Ryall | Heathcote Williams | Saoirse Ronan | Ian McElhinney | Harry Treadaway | B.J. Hogg | Lucinda Dryzek | Matt Jessup | Lara McIvor | Myles Thompson | Rachel Morton | Conor MacNeill | Lorraine Hilton | Mark Mulholland | Eoin McAndrew

  BENCHMARKS  
Loading Time: Base Classes  0.0017
Controller Execution Time ( Overview / Movie Detail )  0.0242
Total Execution Time  0.0259
  GET DATA  
No GET data exists
  MEMORY USAGE  
514,880 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/4378
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0039 seconds)  (Hide)
0.0003  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '801b9cb0a3893f8d7092bcb045acba2c859b56ce'
AND `ip_address` = '216.73.216.6' ?>
0.0002  
SELECT GET_LOCK('bff6878e08c09ffd9078e423061364d5', 300) AS ci_session_lock ?>
0.0002  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '801b9cb0a3893f8d7092bcb045acba2c859b56ce'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 4378
 LIMIT 1 ?>
0.0002  
SET SESSION group_concat_max_len = 12288 ?>
0.0017  
SELECT `MT`.`title_id`, `title`, `prefix`, `year`, `imdb_link`, `imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, MAX(MP.filename) AS filename, 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_movie_posters` `MP` ON `MT`.`title_id` = `MP`.`title_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 `MT`.`title_id` = 4378
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` `MV` ON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MT` ON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 4378
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
0.0002  
SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 4378 ?>
0.0002  
SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 16 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)