Movielogr

movie poster

Rating: 3 stars

Seen 1 time

Seen on: 07/19/2009

View on: IMDb | TMDb

School of Life (2005)

Directed by William Dear

Comedy | Drama | Family

Most recently watched by suspectk

Overview

At Fallbrook Middle School, the annual student-elected Teacher of the Year award is held. And every year for the last 43 years Norman Warner or most fondly called Stormin’ Norman Warner has won the award. Now that he has died, the burden of carrying the legacy falls into the hands of Matt Warner, the son of the late Norman Warner who has always lived in the shadow of his father.

Rated PG | Length 111 minutes

Actors

Ryan Reynolds | Don MacKay | Kate Vernon | David Paymer | Paul Jarrett | John Astin | Jillian Marie | Andrew Robb | Chris Gauthier | Keith Dallas | William Dear | Brenda McDonald | Frida Betrani | Alexander Pollock | Lorena Gale | Leila Johnson | Richard Harmon | Carly McKillip | Hunter Elliott | Gordie Giroux | Christopher Attadia | Marcel Maillard | Robin Moseley | Shylo Sharity | Asia Lim | Chelsea Florko | Keith William Miller | Kimberly Paris | Lisa Dahling | Kenyan Lewis | Ben Walsh

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0020
Controller Execution Time ( Members / Movie Detail )  0.2366
Total Execution Time  0.2386
  GET DATA  
No GET data exists
  MEMORY USAGE  
531,128 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/suspectk/movie_detail/7901
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.1606 seconds)  (Hide)
0.0003  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '16b2c03bc25d783b8d79c949d2bc6715df03caa5'
AND `ip_address` = '216.73.216.6' ?>
0.1460  
SELECT GET_LOCK('501f981a550d005ef435782ba1f88f47', 300) AS ci_session_lock ?>
0.0005  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '16b2c03bc25d783b8d79c949d2bc6715df03caa5'
AND `ip_address` = '216.73.216.6' ?>
0.0010  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'suspectk'
 LIMIT 1 ?>
0.0005  
SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 7901
AND `MV`.`user_id` = 68
 LIMIT 1 ?>
0.0035  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 68
 LIMIT 1 ?>
0.0004  
SET SESSION group_concat_max_len = 12288 ?>
0.0035  
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_name` AS `genre_name_01`, `G2`.`genre_name` AS `genre_name_02`, `G3`.`genre_name` AS `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 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_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MP` ON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1` ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2` ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3` ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMT` ON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRC` ON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVC` ON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_five_star` `STR` ON `MV`.`rating_id` = `STR`.`rating_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 `MV`.`movie_id` = 7901
AND `MV`.`user_id` = 68
ORDER BY `date_viewed` DESC ?>
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` `EV` ON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 7901 ?>
0.0017  
SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MT` ON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 7901 ?>
0.0003  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 68
 LIMIT 1 ?>
0.0005  
SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 68
AND `MV`.`movie_id` = 7901
 LIMIT 1 ?>
0.0003  
SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '14'
 LIMIT 1 ?>
0.0008  
SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2` ON `MV`.`title_id` = `MV2`.`title_id` AND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 68
AND `MV`.`movie_id` = 7901
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC ?>
0.0006  
SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MU` ON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 7901 ?>
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` = 4594
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)