Movielogr

movie poster

Rating: 7.5 stars

Tags

silent film

Seen 1 time

Seen on: 01/15/2011

View on: IMDb | TMDb

City Lights (1931)

Directed by Charlie Chaplin

Comedy | Drama | Romance

Most recently watched by sleestakk

Overview

In this sound-era silent film, a tramp falls in love with a beautiful blind flower seller.

Rated G | Length 87 minutes

Actors

Robert Parrish | Charles Chaplin | Virginia Cherrill | Harry Myers | Al Ernest Garcia | Hank Mann | Henry Bergman | Albert Austin | John Rand | Tiny Ward | Austen Jewell | W.C. Robinson | James Donnelly | Stanhope Wheatcroft | Eddie Baker | Tom Dempsey | Buster Brodie | Jeanne Carpenter | Robert Graves | Ray Erlenborn | Florence Wix | Willie Keeler | Cy Slocum | Tony Stabenau | Charles Hammond | Mark Strong | Joseph Herrick | Granville Redmond | Florence Lee

Viewing Notes

Charlie Chaplin’s City Lights (1931) was a blindspot I sought to correct. And it’s everything and then some. The tramp saves a rich drunkard from committing suicide and instantly becomes his drunk buddy. That’s to say, the wealthy douchebag only remembers the tramp when he’s drunk. During this friendship the tramp gets involved with a blind girl and attempts to earn money for her that includes a riotous amateur boxing match. Highly recommended for the obvious.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0286
Total Execution Time  0.0300
  GET DATA  
No GET data exists
  MEMORY USAGE  
537,480 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sleestakk/movie_detail/9062
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0082 seconds)  (Hide)
0.0004   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '859049cd40089845a9ef3bd9cff01b62ba0542d8'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('d245d97fe659da39999756f54a7ddb29'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '859049cd40089845a9ef3bd9cff01b62ba0542d8'
AND `ip_address` = '216.73.216.111' 
0.0004   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sleestakk'
 
LIMIT 1 
0.0019   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` = 9062
AND `MV`.`user_id` = 9
 LIMIT 1 
0.0005   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0024   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` = 9062
AND `MV`.`user_id` = 9
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` = 9062 
0.0003   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` = 9062 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 9
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 9
AND `MV`.`movie_id` = 9062
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '17'
 
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` = 9
AND `MV`.`movie_id` = 9062
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` = 9062 
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` = 5344
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)