Movielogr

movie poster

Rating: 4 stars

Tags

DVD

Seen 1 time

Seen on: 03/13/2010

View on: IMDb | TMDb

Pretty Maids All in a Row (1971)

Directed by Roger Vadim

Thriller

Most recently watched by noahphex

Overview

At Oceanfront High School, female students are being targeted by an unknown serial killer. Meanwhile, a married teacher hides his flings with nubile students, and an awkward male is frustrated by the plethora of uninhibited freewheeling young girls.

Rated R | Length 91 minutes

Actors

James Doohan | Angie Dickinson | Keenan Wynn | Roddy McDowall | Telly Savalas | William Campbell | Rock Hudson | John David Carson | Brenda Sykes | Margaret Markov | Chris Woodley | Barbara Leigh | Otis Greene | June Fairchild | JoAnna Cameron | Sharon Douglas | Orville Sherman | Jomarie Ward | Susan Tolsky | Joy Bang | Philip Brown | Gary Tigerman | Dawn Roddenberry | Fredricka Meyers | Kyle Johnson | Guy Remsen | Diane Sherry | Gretchen Parsons Carpenter | Aimée Eccles | Mark Malmborg | Warren Seabury | Tim Ray | Stephanie Mizrahi | Larry Marmorstein | Judy Michie | Diane Lambert | Adriana Bentley | Joyce Williams | Linda Morand | Topo Swope | Estrellita Rania | Alberto Isaac | Joe Quinn

Viewing Notes

Totally not what I was expecting. The scenes I had seen advertising this for Weird Wednesday made it seem more like a sex romp style comedy but instead it’s a crime thriller with elements of a sex comedy. Great film!

Interestingly enough it’s written by Gene Roddenberry of Star Trek fame and stars Rock Hudson as a suave high school counselor who is bedding all the birds in the school. Angie Dickinson plays a super sexy substitute who puts the come on onto a young man in her class who is very awkward but has no luck with the ladies. The kid ends up finding a body in the school bathroom when he goes to knock one out after having Angie rub her breasts in his face “accidentally” in class. That sets off an investigation in to the murder, which multiples to more bodies. Telly Savalas plays the lead detective, which isn’t a huge stretch since he was oft used as a cop in his roles.

All in all it’s a terrific film. You never really can figure out the killer and it plays the whole comedy, sex and thriller thing quite handily.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0018
Controller Execution Time ( Members / Movie Detail )  0.0433
Total Execution Time  0.0452
  GET DATA  
No GET data exists
  MEMORY USAGE  
546,776 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/noahphex/movie_detail/4114
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0057 seconds)  (Hide)
0.0003   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '7f2d941fad9ee9629771dd435495bd21200e69bd'
AND `ip_address` = '216.73.216.111' 
0.0001   SELECT GET_LOCK('5d73d0e95d17da393b6c9a578a8dc67e'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '7f2d941fad9ee9629771dd435495bd21200e69bd'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'noahphex'
 
LIMIT 1 
0.0002   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` = 4114
AND `MV`.`user_id` = 8
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0017   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_five_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` = 4114
AND `MV`.`user_id` = 8
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` = 4114 
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` = 4114 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 8
AND `MV`.`movie_id` = 4114
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '18'
 
LIMIT 1 
0.0004   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` = 8
AND `MV`.`movie_id` = 4114
GROUP BY 
`MV2`.`movie_id`
ORDER BY `MV2`.`date_viewedDESC 
0.0003   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` = 4114 
0.0003   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` = 2619
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)