Movielogr

movie poster

Rating: 3.5 stars

Tags

On Demand

Seen 1 time

Seen on: 12/29/2009

View on: IMDb | TMDb

Funny People (2009)

Directed by Judd Apatow

Comedy

Most recently watched by noahphex

Overview

Famous and wealthy funnyman George Simmons doesn’t give much thought to how he treats people until a doctor delivers stunning health news, forcing George to reevaluate his priorities with a little help from aspiring stand-up comic Ira.

Rated R | Length 146 minutes

Actors

RZA | Jon Brion | Eminem | Paul Reiser | Torsten Voges | Sarah Silverman | Eric Bana | Charles Fleischer | George Coe | Justin Long | Ray Romano | Jason Schwartzman | Seth Rogen | Adam Sandler | Jonah Hill | Leslie Mann | Maude Apatow | Andy Dick | Carla Gallo | Steve Bannos | Dan Harmon | Jerry Minor | Dave Attell | Maggie Siff | Ernest Lee Thomas | Norm Macdonald | Mark Cohen | Orny Adams | Aziz Ansari | Ben Meyerson | James Taylor | Luis Conte | Arnold McCuller | Bo Burnham | Mandi Kreisher | Elaine Kao | Aubrey Plaza | Allan Wasserman | Adam J. Bernstein | Mike O'Connell | Brad Grunberg | Carol Leifer | John Hartmann | Wayne Federman | Bryan Batt | Jimmy Johnson | Tonita Castro | Nicole Parker | Da'Vone McDonald | Kyle Kinane | George Wallace | Budd Friedman | Dave Rath | Monty Hoffman | Brian Lally | Iris Apatow | Nydia McFadden | Tyler Spindel | Mark Schiff | Miki Ishikawa | Nicol Paone | Qiana Chase | Phillip Andre Botello | Larry Goldings | Arshad Aslam | Calvin Sykes | Russ Kunkel | Rod Man | Jarrett Grode | Carlos Andrade | Tanya Acker | Eleanor Zee | James Gadson | Kenny Copeland Jr. | Ca'Shawn Sims | Lucas Dick | King Kedar | Joanie Marx | Al Lubel | Sammy Jack | Andrea Zonn | Brandon Cournoyer | Sebastian Steinberg | Kate Markowitz | Tom Anderson | Deamor Yi | Andre Butler Jr. | Denise Meyerson | Kim Taylor

Viewing Notes

Funny People felt like a very personal movie to me. Not only because Apatow and Sandler were roommates in college and the movie features lots of archival footage, but also because it seems to address their fame and how they balance it with day to day life.

Seth Rogen paired very well with Sandler, which wasn’t a huge shock to me. Apatow has always had casts that gel together.

I wouldn’t mind giving this another go, because even though it has a very strong drama to it, the comedy bits are great and has some nice quotable lines.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0393
Total Execution Time  0.0407
  GET DATA  
No GET data exists
  MEMORY USAGE  
547,048 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/noahphex/movie_detail/3980
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0062 seconds)  (Hide)
0.0003   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '712a989892598dd5d8663258b8b072f4d3e2bbaa'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('8746df7f2341839e3aa085f2e1afac19'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '712a989892598dd5d8663258b8b072f4d3e2bbaa'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'noahphex'
 
LIMIT 1 
0.0003   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` = 3980
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 
0.0025   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` = 3980
AND `MV`.`user_id` = 8
ORDER BY 
`date_viewedDESC 
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` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 3980 
0.0002   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` = 3980 
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` = 3980
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '16'
 
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` = 8
AND `MV`.`movie_id` = 3980
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` = 3980 
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` = 2489
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)