Movielogr

Home

movie poster

Average Rating: 8/10

View on: IMDb | TMDb

The First Wives Club (1996)

Directed by Hugh Wilson

Most recently watched by suspectk

Overview

After years of helping their hubbies climb the ladder of success, three mid-life Manhattanites have been dumped for a newer, curvier model. But the trio is determined to turn their pain into gain. They come up with a cleverly devious plan to hit their exes where it really hurts - in the wallet!

Rated PG | Length 102 minutes

Actors

Sarah Jessica Parker | Stephen Collins | Rob Reiner | Diane Keaton | Bronson Pinchot | Marcia Gay Harden | Dan Hedaya | Philip Bosco | Victor Garber | Stockard Channing | Debra Monk | Maggie Smith | Timothy Olyphant | Goldie Hawn | J.K. Simmons | Elizabeth Berkley | Kate Burton | Ivana Trump | James Naughton | Lea DeLaria | Eileen Heckart | J. Smith-Cameron | Dina Spybey-Waters | Heather Locklear | Bette Midler | Richard Council | Kathie Lee Gifford | Adria Tennor | Jennifer Dundas | Gloria Steinem | Mark Nelson | Ari Greenberg | Michele Brilliant | Juliehera DeStefano

  BENCHMARKS  
Loading Time: Base Classes  0.0015
Controller Execution Time ( Overview / Movie Detail )  0.0210
Total Execution Time  0.0225
  GET DATA  
No GET data exists
  MEMORY USAGE  
519,592 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/4609
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0042 seconds)  (Hide)
0.0004   SELECT 1
FROM `ml_sessions`
WHERE `id` = 'a15090d5a8437a3fbf850af16096dd5dcbe6167d'
AND `ip_address` = '216.73.216.111' 
0.0006   SELECT GET_LOCK('5fd932da10ab59ebf7d8abedcfe4efec', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'a15090d5a8437a3fbf850af16096dd5dcbe6167d'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 4609
 LIMIT 1 
0.0003   SET SESSION group_concat_max_len = 12288 
0.0013   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` = 4609
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` = 4609
ORDER BY `date_viewed` DESC
 LIMIT 10 
0.0003   SELECT AVG(NULLIF(rating_id, 2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 4609 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 18 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)