Movielogr

movie poster

Average Rating: 6/10

View on: IMDb | TMDb

The City Dark (2012)

Directed by Ian Cheney

Most recently watched by noahphex

Overview

THE CITY DARK is a feature documentary about the loss of night. After moving to NYC from rural Maine, filmmaker Ian Cheney asks a simple question - do we need the stars? - taking him from Brooklyn to Mauna Kea, Paris, and beyond. Exploring the threat of killer asteroids in Hawaii, tracking hatching turtles along the Florida coast, and rescuing injured birds on Chicago streets, Cheney unravels the myriad implications of a globe glittering with lights - including increased breast cancer rates from exposure to light at night, and a generation of kids without a glimpse of the universe above. Featuring stunning astrophotography and a cast of eclectic scientists, THE CITY DARK is the definitive story of light pollution and the disappearing stars. Written by Wicked Delicate Films

Length 83 minutes

Actors

  BENCHMARKS  
Loading Time: Base Classes  0.0015
Controller Execution Time ( Overview / Movie Detail )  0.0255
Total Execution Time  0.0270
  GET DATA  
No GET data exists
  MEMORY USAGE  
511,024 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/3097
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0037 seconds)  (Hide)
0.0004   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '96ff5cbd4aff419d4d69b05bd1063f322931c101'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT GET_LOCK('a646522d6cbb241f2cf6e1541789a1d6'300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '96ff5cbd4aff419d4d69b05bd1063f322931c101'
AND `ip_address` = '216.73.216.111' 
0.0004   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 3097
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0011   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` = 3097
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` = 3097
ORDER BY 
`date_viewedDESC
 LIMIT 10 
0.0004   SELECT AVG(NULLIF(rating_id2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 3097 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 14 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)