Movies like Cabin Fever 2002

If you like "Cabin Fever" you are looking for suspense, rough and dark humor movies about / with virus, survival, plague, danger, infected, illness and disease themes of Drama and Horror genre shot in USA.
Find your next favorite and similar movies in two steps: 1. Identify all themes of interest from this film (block below). 2. Look for them in the presented list.
Cabin Fever (2002)
 5.7
 74K
Cabin Fever (2002)
Genre: Drama, Horror
Country: USA
Duration: 93 min.
Story: A group of five college graduates rent a cabin in the woods and begin to fall victim to a horrifying flesh-eating virus, which attracts the unwanted attention of the homicidal locals.
Style: suspense, rough, dark humor, scary, disturbing, serious, suspenseful, macabre, cult film, surprise ending ...
Audience: teens, boys' night
Plot: virus, survival, plague, danger, infected, illness, disease, gory, small town, deadly, deadly virus, death, drinking, friendship, paranoia, blood, fear, in the woods, lodge, marijuana, vacation, drinking alcohol, eaten alive, boyfriend girlfriend relationship, college ...
Time: 21st century, contemporary, 2000s, 80s

Movie in categories

virus movies
505
survival movies
5075
plague movies
584
infected movies
139
suspense movies
11700
illness movies
1203
disease movies
361
gory movies
3645

Most similar movies to Cabin Fever

The list contains related movies ordered by similarity. Recommendation engine sorted out scary, suspenseful, suspense and serious films with plots about gory, blood, danger, deadly, death, supernatural and violence mostly in Horror, Drama and Thriller genres. Some movies like Cabin Fever: Evil Dead (2013), The Cabin in the Woods (2011), Splinter (2008), Hostel (2005), Quarantine (2008). The matching attributes are highlighted in bold.
 6.5
 157K
Evil Dead (2013)
Genre: Action, Adventure, Fantasy, Horror, Thriller
Country: USA
Duration: 91 min.
Story: Evil Dead, the fourth installment of the Evil Dead franchise, serving as both a reboot and as a loose continuation of the series, features Mia, a young woman struggling with sobriety, heads to a remote cabin with a group of friends where the ...
Style: scary, rough, suspenseful, bloody, atmospheric ...
Audience: boys' night, teens
Plot: zombie, demons, gory, supernatural, demon, profanity, survival, violence, friendship, blood, curses spells and rituals, isolation ...
Time: contemporary, 80s, 21st century, 2010s
Place: usa
⇓ similarity ⇓
75%
 3.7
 9K
Cabin Fever (2016)
Genre: Horror, Sci-Fi, Thriller
Country: USA
Duration: 99 min.
Story: In this grisly remake of the 2002 horror hit, five college chums rent an isolated woodland cabin for a party. But their fun quickly ends when the group is exposed to a hideous flesh-eating virus, and survival becomes the name of the game.
Style: rough, bleak, suspense, psychological, suspenseful
Plot: cabin in the woods, virus, disease, vacation, teenager, dog, isolation, death, burned alive, sex scene, friendship, blood ...
⇓ similarity ⇓
100%
Cabin Fever 2: Spring Fever (2009)
Genre: Horror
Country: USA
Duration: 86 min.
Story: A high school prom faces a deadly threat: a flesh-eating virus that spreads via a popular brand of bottled water.
Style: scary, suspenseful, rough, bloody, melancholic ...
Audience: teens, boys' night
Plot: high school, sex in a swimming pool, virus, quarantine, prom, deadly virus, deadly, teenage life, high school life, infected, blood, boyfriend girlfriend relationship ...
Time: contemporary, 21st century
Place: australia
⇓ similarity ⇓
100%
The Cabin in the Woods (2011)
Genre: Horror
Country: USA
Duration: 95 min.
Story: Five college friends spend the weekend at a remote cabin in the woods, where they get more than they bargained for. Together, they must discover the truth behind the cabin in the woods.
Style: scary, dark humor, surreal, mind bending, suspenseful ...
Plot: danger, supernatural, monster, death, zombie, deathtrap, cabin in the woods, creature, survival, in the woods, fear, youth ...
Time: 21st century, contemporary, 2000s, 20th century, year 2009 ...
Place: usa
⇓ similarity ⇓
100%
Movie in collections
rough movies
8079
small town movies
4715
deadly movies
9885
Scouts Guide to the Zombie Apocalypse (2015)
Genre: Action, Comedy, Horror
Country: USA
Duration: 93 min.
Story: Three scouts and lifelong friends join forces with one badass cocktail waitress to become the world’s most unlikely team of heroes. When their peaceful town is ravaged by a zombie invasion, they’ll fight for the badge of a lifetime and put ...
Style: not serious, humorous, bloody, scary, funny ...
Audience: teens, teen comedy
Plot: zombie, zombie apocalypse, apocalypse, survival, friendship, danger, gory, strip club, small town, youth, teenager, camp ...
Time: 21st century, contemporary, 80s
Place: usa, california
⇓ similarity ⇓
60%
 6.1
 34K
Splinter (2008)
Genre: Horror, Sci-Fi, Thriller
Country: USA
Duration: 82 min.
Story: When their plans for a nature trip go awry, Polly and boyfriend Seth decide to check into a motel. On their way, they're carjacked and kidnapped by low-rent crooks Dennis and Lacey, who take the victims and their SUV to a nearby gas station. ...
Style: scary, macabre, bleak, bloody, psychological ...
Audience: boys' night, teens
Plot: zombie, survival, blood splatter, infected, virus, weekend, partners in crime, death, creature, hit by a car, infection, hostage ...
Time: 21st century, contemporary
Place: usa
⇓ similarity ⇓
67%
 5.9
 170K
Hostel (2005)
Genre: Horror
Country: USA, Czech Republic
Duration: 94 min.
Story: Three backpackers head to a Slovakian city that promises to meet their hedonistic expectations, with no idea of the hell that awaits them.
Style: scary, suspenseful, serious, rough, disturbing ...
Audience: teens
Plot: torture, slasher, gory, psychopath, danger, captivity, gore, crimes, serial murder, survival, strong violent content, deadly ...
Time: contemporary, 21st century
Place: amsterdam, europe, slovakia, iceland
⇓ similarity ⇓
50%
 5.9
 70K
Quarantine (2008)
Genre: Horror, Thriller
Country: USA, Spain
Duration: 89 min.
Story: A television reporter and her cameraman are trapped inside a building quarantined by the CDC after the outbreak of a mysterious virus which turns humans into bloodthirsty killers.
Style: tense, suspenseful, serious, rough, atmospheric ...
Audience: teens
Plot: quarantine, virus, graphic violence, plague, gory, chaos, uncover truth, supernatural, zombie, deadly, danger, tv reporter ...
Time: contemporary, 21st century
Place: los angeles, usa
⇓ similarity ⇓
100%
Movie in collections
dark humor movies
3169
death movies
13312
scary movies
5531
drinking movies
5586
 3.7
 40K
Piranha 3DD (2012)
Genre: Comedy, Horror
Country: USA, Japan
Duration: 83 min.
Story: After the events at Lake Victoria, the prehistoric school of blood-thirsty piranhas make their way into swimming pools, plumbing, and a newly opened water park.
Style: scary, suspense, twist ending, disturbing, dark humor ...
Audience: teens, boys' night
Plot: nudity (topless - notable), piranha, underwater scene, danger, survival, youth, profanity, death, breasts, gory, lake, vulgarity ...
Time: contemporary, 21st century, 2010s, 80s
Place: usa, arizona
⇓ similarity ⇓
100%
 7.0
 259K
28 Weeks Later (2007)
Genre: Drama, Horror, Sci-Fi
Country: UK, Spain
Duration: 100 min.
Story: In this chilling sequel to 28 Days Later, the inhabitants of the British Isles appear to have lost their battle against the onslaught of disease, as the deadly rage virus has killed every citizen there. Six months later, a group of Americans dare to ...
Style: scary, rough, tense, suspenseful, suspense ...
Audience: boys' night
Plot: zombie, survival, zombie apocalypse, plague, infected, end of the world, post apocalypse, chaos, virus, chaos and mayhem, mutant, deadly virus ...
Time: 21st century, contemporary
Place: london, england, europe, paris france
⇓ similarity ⇓
41%
 5.6
 42K
Maggie (2015)
Genre: Drama, Horror
Country: USA, Switzerland
Duration: 95 min.
Story: There's a deadly zombie epidemic threatening humanity, but Wade, a small-town farmer and family man, refuses to accept defeat even when his daughter Maggie becomes infected. As Maggie's condition worsens and the authorities seek to ...
Style: touching, suspenseful, scary, bleak, emotional ...
Audience: teens
Plot: zombie, terminal illness, apocalypse, death, plague, danger, end of the world, survival horror, father daughter relationship, life is a bitch, parents and children, chaos ...
Time: contemporary, 21st century, year 2015
Place: usa, midwest, california
⇓ similarity ⇓
40%
28 Days Later... (2002)
Genre: Drama, Horror, Sci-Fi, Thriller
Country: UK
Duration: 113 min.
Story: Twenty-eight days after a killer virus was accidentally unleashed from a British research facility, a small group of London survivors are caught in a desperate struggle to protect themselves from the infected. Carried by animals and humans, the ...
Style: scary, rough, suspenseful, bleak, tense ...
Audience: boys' night
Plot: zombie, apocalypse, virus, epidemic, post apocalypse, survival, plague, infected, fear, rage, zombie apocalypse, research ...
Time: contemporary, 21st century, 2000s
Place: london, england, europe, britain, big ben london ...
⇓ similarity ⇓
40%
Day of the Dead (2008)
Genre: Action, Horror, Sci-Fi, Thriller
Country: USA
Duration: 86 min.
Story: Day of the Dead is a horror film which is nominally a quasi-remake of George A. Romero's classic zombie film of the same name, which was the third in Romero's Dead series. The film is directed by Steve Miner (who also directed Friday the ...
Style: scary, rough, suspense, intense, stylized ...
Audience: boys' night
Plot: zombie, apocalypse, quarantine, small town, virus, soldier, survival, deadly creature, race against time, danger, chaos and mayhem, experiment gone awry ...
Time: contemporary
Place: colorado, usa
⇓ similarity ⇓
37%
 5.5
 89K
Dreamcatcher (2003)
Genre: Drama, Horror, Sci-Fi, Thriller
Country: USA, Canada
Duration: 136 min.
Story: Four boyhood pals perform a heroic act and are changed by the powers they gain in return. Years later, on a hunting trip in the Maine woods, they're overtaken by a vicious blizzard that harbors an ominous presence. Challenged to stop an alien ...
Style: scary, bleak, suspenseful, rough, serious ...
Audience: boys' night
Plot: alien invasion, in the woods, plague, friends, supernatural, evil alien, first contact, foreknowledge, stephen king, mind control, supernatural ability, danger ...
Time: contemporary, 21st century, 70s
Place: maine, usa, boston, massachusetts
⇓ similarity ⇓
36%
 5.9
 134K
Carrie (2013)
Genre: Drama, Horror
Country: USA, Canada
Duration: 100 min.
Story: A reimagining of the classic horror tale about Carrie White, a shy girl outcast by her peers and sheltered by her deeply religious mother, who unleashes telekinetic terror on her small town after being pushed too far at her senior prom.
Style: suspenseful, rough, suspense, scary, serious ...
Audience: teens
Plot: telekinesis, prom, bullying, high school, humiliation, supernatural ability, social misfits, supernatural, teenage life, graphic violence, alienation, gory ...
Time: 21st century, contemporary, 2010s
Place: usa
⇓ similarity ⇓
36%
House of 1000 Corpses (2003)
Genre: Horror
Country: USA
Duration: 89 min.
Story: Two teenage couples traveling across the backwoods of Texas searching for urban legends of serial killers end up as prisoners of a bizarre and sadistic backwater family of serial killers.
Style: scary, rough, cult film, suspenseful, humorous ...
Audience: teens
Plot: halloween, hitchhiker, urban legend, cannibalism, murder, teenage life, youth, serial killer, psychopath, satanic ritual, gory, slasher ...
Time: 21st century, contemporary, 70s, year 1977
Place: texas, usa
⇓ similarity ⇓
18%
Survival of the Dead (2009)
Genre: Comedy, Drama, Horror, Thriller
Country: USA, Canada
Duration: 90 min.
Story: On an island off the coast of North America, local residents simultaneously fight a zombie epidemic while hoping for a cure to return their un-dead relatives back to their human state.
Style: suspenseful, rough, exciting, scary, atmospheric ...
Audience: teens, boys' night
Plot: zombie, island, apocalypse, survival, gory, violence spree, deadly, chaos, group of strangers, supernatural, danger, siege ...
Time: contemporary, 21st century, 2000s
Place: delaware, usa, philadelphia, ireland
⇓ similarity ⇓
36%
Tooth and Nail (2007)
Genre: Drama, Horror, Thriller
Country: USA
Duration: 94 min.
Story: In a post-apocalyptic world, a small group of survivors, who call themselves Foragers, plan to rebuild civilization from their headquarters in an empty hospital based in what is left of Philadelphia. But they're soon forced into a face-off war ...
Style: rough, suspenseful, serious, scary, futuristic ...
Audience: boys' night
Plot: slasher, isolation, survival, future dystopia, danger, chaos, murder, life is a bitch, apocalypse, cannibalism, hospital, blood splatter ...
Time: contemporary
⇓ similarity ⇓
36%
Movie in collections
friendship movies
13943
paranoia movies
2312
blood movies
9952
fear movies
3424
A Nightmare on Elm Street (2010)
Genre: Crime, Drama, Horror, Mystery
Country: USA
Duration: 95 min.
Story: The film that brings back horror icon Freddy Krueger as a darker and more sinister character than ever before. While Freddy is on the prowl a group of teenagers being stalked soon learn they all have a common factor making them targets for this ...
Style: scary, suspenseful, rough, twists and turns, psychotronic ...
Audience: date night, teens
Plot: slasher, nightmare comes true, sleeping, death, danger, serial killer, youth, serial murder, supernatural, murder, nightmare, torture ...
Time: contemporary, 21st century
Place: ohio, usa
⇓ similarity ⇓
36%
 5.6
 26K
The Bay (2012)
Genre: Horror, Sci-Fi, Thriller
Country: USA
Duration: 84 min.
Story: Two million fish washed ashore. One thousand blackbirds dropped from the sky. On July 4, 2009 a deadly menace swept through the quaint seaside town of Claridge, Maryland, but the harrowing story of what happened that Independence Day has never been ...
Style: suspenseful, scary, tense, realistic, rough ...
Audience: boys' night
Plot: parasite, danger, small town, plague, ecological disaster, chaos, catastrophe, deadly, chaos and mayhem, mayor, infection, deadly creature ...
Time: 21st century, contemporary, 2000s
Place: maryland, usa, california
⇓ similarity ⇓
35%
 7.1
 9K
White Dog (1982)
Genre: Drama, Horror
Country: USA
Duration: 90 min.
Story: A trainer attempts to retrain a vicious dog that's been raised to kill black people.
Style: tense, suspenseful, rough, disturbing, thought provoking ...
Plot: dog, racism, murder, friendship, hate, racist, actor's life, dangerous animal, life is a bitch, danger, crimes, small town life ...
Time: 80s
Place: california, los angeles, usa
⇓ similarity ⇓
35%
Automaton Transfusion (2006)
Genre: Horror
Country: USA
Duration: 75 min.
Story: Three teens find themselves in a town over run with zombies. Deciding to fight back, they go on a punch you in the throat, action packed, non stop ride through the city, woods, and schools.
Style: serious, rough, suspenseful, suspense, scary ...
Audience: teens, boys' night
Plot: zombie, teenage life, plague, isolation, gory, supernatural, deadly creature, danger, deadly, youth, chaos, small town ...
Time: 21st century, contemporary
⇓ similarity ⇓
35%
The Beach House (2019)
Genre: Drama, Horror, Mystery, Sci-Fi
Country: USA
Duration: 88 min.
Story: A romantic getaway for two troubled college sweethearts turns into a struggle for survival when unexpected guests - and the surrounding environment - exhibit signs of a mysterious infection.
Style: suspense, suspenseful, disturbing, atmospheric, rough ...
Audience: teens
Plot: fog, illness, beach house, beach, ocean, swimming, college, danger, survival, boyfriend girlfriend relationship, strange behavior, deadly ...
Time: 21st century, contemporary
Place: usa
⇓ similarity ⇓
34%
Movie in collections
teens movies
6593
lodge movies
63
disturbing movies
5181
 8.4
 903K
The Shining (1980)
Genre: Drama, Horror
Country: UK, USA
Duration: 144 min.
Story: Jack Torrance accepts a caretaker job at the Overlook Hotel, where he, along with his wife Wendy and their son Danny, must live isolated from the rest of the world for the winter. But they aren't prepared for the madness that lurks within.
Style: psychological, atmospheric, scary, bleak, suspense ...
Plot: isolation, insanity, evil, supernatural, danger, stephen king, nervous breakdown, psychic, hotel, ghost, psychopath, trapped ...
Time: 20th century, 70s, 80s, 1920s
Place: colorado, usa, denver colorado, oregon, miami ...
⇓ similarity ⇓
34%
 5.3
 8K
The Forsaken (2001)
Genre: Action, Horror, Thriller
Country: USA
Duration: 90 min.
Story: A young man is in a race against time as he searches for a cure after becoming infected with a virus that will eventually turn him into a blood-sucking vampire.
Style: scary, rough, road movie, suspense, suspenseful ...
Audience: teens, boys' night
Plot: hitchhiker, vampire, vampire slayer, virus, on the road, danger, desert, vampire human love, supernatural, gory, infected, chases and races ...
Time: contemporary, 2000s
Place: usa, colorado, arizona, california, texas ...
⇓ similarity ⇓
34%
Black Water: Abyss (2020)
Genre: Action, Drama, Horror
Country: Australia, USA
Duration: 98 min.
Story: An adventure-loving couple convince their friends to explore a remote, uncharted cave system in the forests of Northern Australia. With a tropical storm approaching, they abseil into the mouth of the cave, but when the caves start to flood, tensions ...
Style: rough, suspenseful, scary, suspense, tense ...
Plot: survival, hunting, cave, animal horror, animal attack, crocodile, beast, dangerous animal, stranded, adventurer, forces of nature, wilderness ...
Time: 21st century
Place: australia
⇓ similarity ⇓
34%
 7.1
 43K
Thirst (2009)
Genre: Drama, Fantasy, Horror, Romance
Country: South Korea, USA
Duration: 134 min.
Story: Sang-hyun (Song Kang-ho), a respected priest, volunteers for an experimental procedure that may lead to a cure for a deadly virus. He gets infected and dies, but a blood transfusion of unknown origin brings him back to life as a vampire. Now, ...
Style: scary, atmospheric, bleak, suspenseful, dark ...
Plot: vampire, priest, experiment gone awry, murder, doctor, infidelity, blood transfusion, self mutilation, supernatural, deadly virus, character change, transformation ...
Time: contemporary, 21st century, 2000s
Place: korea, asia, south korea
⇓ similarity ⇓
33%
 5.3
 14K
Contracted (2013)
Genre: Drama, Horror, Thriller
Country: USA
Duration: 84 min.
Story: A young girl contracts what she thinks is a sexually-transmitted disease - but is actually something much worse.
Style: suspenseful, scary, bleak, rough, serious ...
Audience: teens
Plot: rape, sexually transmitted disease, one night stand, body horror, danger, virus, life turned upside down, vengeance, death, one-night stand, violence, woman in danger ...
Time: contemporary, 21st century
Place: usa, los angeles
⇓ similarity ⇓
33%
 4.4
 317
Dead Creatures (2001)
Genre: Drama, Horror, Thriller
Country: UK
Duration: 90 min.
Story: A group of women afflicted with a horrible disease (which forces them to cannibalism) try to support one another.
Style: rough, scary, serious, suspenseful
Plot: survival, supernatural, life is a bitch, rivalry, chaos, gory, plague, murder, imaginary, deadly, danger, curses spells and rituals ...
Time: 21st century, contemporary
Place: england, london
⇓ similarity ⇓
33%
 5.1
 8K
Grace (2009)
Genre: Drama, Horror, Thriller
Country: USA, Canada
Duration: 85 min.
Story: In the wake of a horrific car accident that kills her husband, Michael, expectant mother Madeline Matheson discovers that her daughter, Grace, has died in the womb. Ignoring her doctor's warnings that the fetus must be removed from her body, a ...
Style: suspenseful, psychological, tense, captivating, suspense ...
Plot: pregnancy, curses spells and rituals, danger, deadly, confined, supernatural, evil child, murder, baby, doctor, curse, struggle for survival ...
Time: 21st century, contemporary
Place: usa
⇓ similarity ⇓
33%
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system.db.CDbCommand.query(SELECT `t`.`movie_id` AS `t0_c0`, `t`.`tag_id` AS `t0_c1`, `t`.`rel` AS `t0_c2`, `t`.`mark_sum` AS `t0_c3`, `t`.`mark_num` AS `t0_c4`, `t`.`mark_rat` AS `t0_c5`, `t`.`sort_best` AS `t0_c6`, `t`.`sort_new` AS `t0_c7`, `t`.`page_index` AS `t0_c8`, `t`.`sort_tag` AS `t0_c9`, `tag`.`id` AS `t1_c0`, `tag`.`slug_en` AS `t1_c1`, `tag`.`slug_de` AS `t1_c2`, `tag`.`name` AS `t1_c3`, `tag`.`mod_name_rus` AS `t1_c4`, `tag`.`mod_name_de` AS `t1_c5`, `tag`.`mod_group_id` AS `t1_c6`, `tag`.`movie_num` AS `t1_c7`, `tag`.`movie_num_live` AS `t1_c8`, `tag`.`best_movie_data_en` AS `t1_c9`, `tag`.`best_movie_data_de` AS `t1_c10`, `tag`.`picture` AS `t1_c11`, `tag`.`picture_status` AS `t1_c12`, `tag`.`ws` AS `t1_c13`, `tag`.`page_index` AS `t1_c14`, `tag`.`best_movie_ids` AS `t1_c15`, `tag`.`new_movie_ids` AS `t1_c16`, `tag`.`create_at` AS `t1_c17`, `tag`.`posting` AS `t1_c18` FROM `en_movie_tag` `t` INNER JOIN `en_tag` `tag` ON (`t`.`tag_id`=`tag`.`id`) WHERE (t.movie_id = 10203) ORDER BY rel DESC, tag.ws DESC) 1 0.01713 0.01713 0.01713 0.01713
system.db.CDbCommand.query(SELECT `t`.`movie_id_1` AS `t0_c0`, `t`.`movie_id_2` AS `t0_c1`, `t`.`mark_sum` AS `t0_c2`, `t`.`mark_num` AS `t0_c3`, `t`.`rating` AS `t0_c4`, `t`.`sort_best` AS `t0_c5`, `t`.`rating_percent` AS `t0_c6`, `t`.`mark_percent` AS `t0_c7`, `movie_2`.`id` AS `t1_c0`, `movie_2`.`imdb_id` AS `t1_c1`, `movie_2`.`imdb_id_int` AS `t1_c2`, `movie_2`.`status` AS `t1_c3`, `movie_2`.`slug_en` AS `t1_c4`, `movie_2`.`name_en` AS `t1_c5`, `movie_2`.`full_name` AS `t1_c6`, `movie_2`.`original_title` AS `t1_c7`, `movie_2`.`year` AS `t1_c8`, `movie_2`.`imdb_rating` AS `t1_c9`, `movie_2`.`imdb_vote` AS `t1_c10`, `movie_2`.`popularity` AS `t1_c11`, `movie_2`.`weight` AS `t1_c12`, `movie_2`.`picture` AS `t1_c13`, `movie_2`.`duration` AS `t1_c14`, `movie_2`.`genre` AS `t1_c15`, `movie_2`.`country` AS `t1_c16`, `movie_2`.`mpaa_rating` AS `t1_c17`, `movie_2`.`serial` AS `t1_c18`, `movie_2`.`animation` AS `t1_c19`, `movie_2`.`nominations` AS `t1_c20`, `movie_2`.`awards` AS `t1_c21`, `movie_2`.`oscars` AS `t1_c22`, `movie_2`.`budget` AS `t1_c23`, `movie_2`.`story_en` AS `t1_c24`, `movie_2`.`updated_en` AS `t1_c25`, `movie_2`.`tags_data` AS `t1_c26`, `movie_2`.`tags_count` AS `t1_c27`, `movie_2`.`tags_full_data_en` AS `t1_c28`, `movie_2`.`rel_count` AS `t1_c29`, `movie_2`.`parent_id` AS `t1_c30`, `movie_2`.`video_key_en` AS `t1_c31`, `movie_2`.`picture_status` AS `t1_c32`, `movie_2`.`page_index` AS `t1_c33`, `movie_2`.`weight_movie_ids` AS `t1_c34`, `movie_2`.`best_movie_ids` AS `t1_c35`, `movie_2`.`new_movie_ids` AS `t1_c36` FROM `en_movie_rel` `t` INNER JOIN `en_movie` `movie_2` ON (`t`.`movie_id_2`=`movie_2`.`id`) WHERE (t.movie_id_1 = 10203) ORDER BY movie_2.weight DESC LIMIT 5) 1 0.00850 0.00850 0.00850 0.00850
system.db.CDbCommand.query(SELECT `t`.`movie_id_1` AS `t0_c0`, `t`.`movie_id_2` AS `t0_c1`, `t`.`mark_sum` AS `t0_c2`, `t`.`mark_num` AS `t0_c3`, `t`.`rating` AS `t0_c4`, `t`.`sort_best` AS `t0_c5`, `t`.`rating_percent` AS `t0_c6`, `t`.`mark_percent` AS `t0_c7`, `movie_2`.`id` AS `t1_c0`, `movie_2`.`imdb_id` AS `t1_c1`, `movie_2`.`imdb_id_int` AS `t1_c2`, `movie_2`.`status` AS `t1_c3`, `movie_2`.`slug_en` AS `t1_c4`, `movie_2`.`name_en` AS `t1_c5`, `movie_2`.`full_name` AS `t1_c6`, `movie_2`.`original_title` AS `t1_c7`, `movie_2`.`year` AS `t1_c8`, `movie_2`.`imdb_rating` AS `t1_c9`, `movie_2`.`imdb_vote` AS `t1_c10`, `movie_2`.`popularity` AS `t1_c11`, `movie_2`.`weight` AS `t1_c12`, `movie_2`.`picture` AS `t1_c13`, `movie_2`.`duration` AS `t1_c14`, `movie_2`.`genre` AS `t1_c15`, `movie_2`.`country` AS `t1_c16`, `movie_2`.`mpaa_rating` AS `t1_c17`, `movie_2`.`serial` AS `t1_c18`, `movie_2`.`animation` AS `t1_c19`, `movie_2`.`nominations` AS `t1_c20`, `movie_2`.`awards` AS `t1_c21`, `movie_2`.`oscars` AS `t1_c22`, `movie_2`.`budget` AS `t1_c23`, `movie_2`.`story_en` AS `t1_c24`, `movie_2`.`updated_en` AS `t1_c25`, `movie_2`.`tags_data` AS `t1_c26`, `movie_2`.`tags_count` AS `t1_c27`, `movie_2`.`tags_full_data_en` AS `t1_c28`, `movie_2`.`rel_count` AS `t1_c29`, `movie_2`.`parent_id` AS `t1_c30`, `movie_2`.`video_key_en` AS `t1_c31`, `movie_2`.`picture_status` AS `t1_c32`, `movie_2`.`page_index` AS `t1_c33`, `movie_2`.`weight_movie_ids` AS `t1_c34`, `movie_2`.`best_movie_ids` AS `t1_c35`, `movie_2`.`new_movie_ids` AS `t1_c36` FROM `en_movie_rel` `t` INNER JOIN `en_movie` `movie_2` ON (`t`.`movie_id_2`=`movie_2`.`id`) WHERE (t.movie_id_1 = 10203) ORDER BY t.rating DESC LIMIT 30) 1 0.00254 0.00254 0.00254 0.00254
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie`) 1 0.00166 0.00166 0.00166 0.00166
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_tag`) 1 0.00117 0.00117 0.00117 0.00117
system.db.CDbCommand.query(SELECT * FROM `en_country` `t`) 1 0.00092 0.00092 0.00092 0.00092
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie_tag`) 1 0.00091 0.00091 0.00091 0.00091
system.db.CDbCommand.query(SELECT * FROM `en_movie` `t` WHERE `t`.`id`=10203 LIMIT 1) 1 0.00082 0.00082 0.00082 0.00082
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_genre`) 1 0.00079 0.00079 0.00079 0.00079
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_mix`) 1 0.00073 0.00073 0.00073 0.00073
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `adsense_policy`) 1 0.00071 0.00071 0.00071 0.00071
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie_rel`) 1 0.00061 0.00061 0.00061 0.00061
system.db.CDbCommand.query(SELECT * FROM `en_movie` `t` WHERE `t`.`id`=38371 LIMIT 1) 1 0.00059 0.00059 0.00059 0.00059
system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_country`) 1 0.00056 0.00056 0.00056 0.00056
system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE `t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND `t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1='11', :yp2=0, :yp3=0, :yp4='0') 1 0.00035 0.00035 0.00035 0.00035
system.db.CDbCommand.query(SHOW CREATE TABLE `en_tag`) 1 0.00034 0.00034 0.00034 0.00034
system.db.CDbCommand.query(SELECT * FROM `adsense_policy` `t` WHERE `t`.`lang`=:yp0 AND `t`.`page_type`=:yp1 AND `t`.`page_id`=:yp2 LIMIT 1. Bound with :yp0='en', :yp1=1, :yp2='10203') 1 0.00033 0.00033 0.00033 0.00033
system.db.CDbCommand.query(SELECT * FROM `en_genre` `t`) 1 0.00032 0.00032 0.00032 0.00032
system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie`) 1 0.00028 0.00028 0.00028 0.00028
system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie_tag`) 1 0.00028 0.00028 0.00028 0.00028
system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE `t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND `t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1=0, :yp2='3', :yp3=0, :yp4='0') 1 0.00025 0.00025 0.00025 0.00025
system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE `t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND `t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1=16, :yp2=0, :yp3=0, :yp4='0') 1 0.00025 0.00025 0.00025 0.00025
system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE `t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND `t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1='2', :yp2=0, :yp3=0, :yp4='0') 1 0.00025 0.00025 0.00025 0.00025
system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie_rel`) 1 0.00019 0.00019 0.00019 0.00019
system.db.CDbCommand.query(SHOW CREATE TABLE `en_genre`) 1 0.00018 0.00018 0.00018 0.00018
system.db.CDbCommand.query(SHOW CREATE TABLE `en_mix`) 1 0.00018 0.00018 0.00018 0.00018
system.db.CDbCommand.query(SHOW CREATE TABLE `adsense_policy`) 1 0.00017 0.00017 0.00017 0.00017
system.db.CDbCommand.query(SHOW CREATE TABLE `en_country`) 1 0.00016 0.00016 0.00016 0.00016
Application Log
Timestamp Level Category Message
14:43:44.847929 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie`)
14:43:44.849586 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie`)
14:43:44.850109 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie`)
14:43:44.850389 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie`)
14:43:44.850745 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_movie` `t` WHERE
`t`.`id`=10203 LIMIT 1)
14:43:44.851562 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_movie` `t` WHERE
`t`.`id`=10203 LIMIT 1)
14:43:44.852453 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie_tag`)
14:43:44.853365 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie_tag`)
14:43:44.853466 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie_tag`)
14:43:44.853744 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie_tag`)
14:43:44.854789 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_tag`)
14:43:44.855956 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_tag`)
14:43:44.856086 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `en_tag`)
14:43:44.856429 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `en_tag`)
14:43:44.856729 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT `t`.`movie_id` AS `t0_c0`,
`t`.`tag_id` AS `t0_c1`, `t`.`rel` AS `t0_c2`, `t`.`mark_sum` AS `t0_c3`,
`t`.`mark_num` AS `t0_c4`, `t`.`mark_rat` AS `t0_c5`, `t`.`sort_best` AS
`t0_c6`, `t`.`sort_new` AS `t0_c7`, `t`.`page_index` AS `t0_c8`,
`t`.`sort_tag` AS `t0_c9`, `tag`.`id` AS `t1_c0`, `tag`.`slug_en` AS
`t1_c1`, `tag`.`slug_de` AS `t1_c2`, `tag`.`name` AS `t1_c3`,
`tag`.`mod_name_rus` AS `t1_c4`, `tag`.`mod_name_de` AS `t1_c5`,
`tag`.`mod_group_id` AS `t1_c6`, `tag`.`movie_num` AS `t1_c7`,
`tag`.`movie_num_live` AS `t1_c8`, `tag`.`best_movie_data_en` AS `t1_c9`,
`tag`.`best_movie_data_de` AS `t1_c10`, `tag`.`picture` AS `t1_c11`,
`tag`.`picture_status` AS `t1_c12`, `tag`.`ws` AS `t1_c13`,
`tag`.`page_index` AS `t1_c14`, `tag`.`best_movie_ids` AS `t1_c15`,
`tag`.`new_movie_ids` AS `t1_c16`, `tag`.`create_at` AS `t1_c17`,
`tag`.`posting` AS `t1_c18` FROM `en_movie_tag` `t`  INNER JOIN `en_tag`
`tag` ON (`t`.`tag_id`=`tag`.`id`) WHERE (t.movie_id = 10203) ORDER BY rel
DESC, tag.ws DESC)
14:43:44.873857 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT `t`.`movie_id` AS `t0_c0`,
`t`.`tag_id` AS `t0_c1`, `t`.`rel` AS `t0_c2`, `t`.`mark_sum` AS `t0_c3`,
`t`.`mark_num` AS `t0_c4`, `t`.`mark_rat` AS `t0_c5`, `t`.`sort_best` AS
`t0_c6`, `t`.`sort_new` AS `t0_c7`, `t`.`page_index` AS `t0_c8`,
`t`.`sort_tag` AS `t0_c9`, `tag`.`id` AS `t1_c0`, `tag`.`slug_en` AS
`t1_c1`, `tag`.`slug_de` AS `t1_c2`, `tag`.`name` AS `t1_c3`,
`tag`.`mod_name_rus` AS `t1_c4`, `tag`.`mod_name_de` AS `t1_c5`,
`tag`.`mod_group_id` AS `t1_c6`, `tag`.`movie_num` AS `t1_c7`,
`tag`.`movie_num_live` AS `t1_c8`, `tag`.`best_movie_data_en` AS `t1_c9`,
`tag`.`best_movie_data_de` AS `t1_c10`, `tag`.`picture` AS `t1_c11`,
`tag`.`picture_status` AS `t1_c12`, `tag`.`ws` AS `t1_c13`,
`tag`.`page_index` AS `t1_c14`, `tag`.`best_movie_ids` AS `t1_c15`,
`tag`.`new_movie_ids` AS `t1_c16`, `tag`.`create_at` AS `t1_c17`,
`tag`.`posting` AS `t1_c18` FROM `en_movie_tag` `t`  INNER JOIN `en_tag`
`tag` ON (`t`.`tag_id`=`tag`.`id`) WHERE (t.movie_id = 10203) ORDER BY rel
DESC, tag.ws DESC)
14:43:44.889997 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `adsense_policy`)
14:43:44.890708 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `adsense_policy`)
14:43:44.890763 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `adsense_policy`)
14:43:44.890938 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `adsense_policy`)
14:43:44.891047 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `adsense_policy` `t` WHERE
`t`.`lang`=:yp0 AND `t`.`page_type`=:yp1 AND `t`.`page_id`=:yp2 LIMIT 1.
Bound with :yp0='en', :yp1=1, :yp2='10203')
14:43:44.891376 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `adsense_policy` `t` WHERE
`t`.`lang`=:yp0 AND `t`.`page_type`=:yp1 AND `t`.`page_id`=:yp2 LIMIT 1.
Bound with :yp0='en', :yp1=1, :yp2='10203')
14:43:44.891596 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie_rel`)
14:43:44.892201 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_movie_rel`)
14:43:44.892277 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie_rel`)
14:43:44.892465 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `en_movie_rel`)
14:43:44.892668 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT `t`.`movie_id_1` AS `t0_c0`,
`t`.`movie_id_2` AS `t0_c1`, `t`.`mark_sum` AS `t0_c2`, `t`.`mark_num` AS
`t0_c3`, `t`.`rating` AS `t0_c4`, `t`.`sort_best` AS `t0_c5`,
`t`.`rating_percent` AS `t0_c6`, `t`.`mark_percent` AS `t0_c7`,
`movie_2`.`id` AS `t1_c0`, `movie_2`.`imdb_id` AS `t1_c1`,
`movie_2`.`imdb_id_int` AS `t1_c2`, `movie_2`.`status` AS `t1_c3`,
`movie_2`.`slug_en` AS `t1_c4`, `movie_2`.`name_en` AS `t1_c5`,
`movie_2`.`full_name` AS `t1_c6`, `movie_2`.`original_title` AS `t1_c7`,
`movie_2`.`year` AS `t1_c8`, `movie_2`.`imdb_rating` AS `t1_c9`,
`movie_2`.`imdb_vote` AS `t1_c10`, `movie_2`.`popularity` AS `t1_c11`,
`movie_2`.`weight` AS `t1_c12`, `movie_2`.`picture` AS `t1_c13`,
`movie_2`.`duration` AS `t1_c14`, `movie_2`.`genre` AS `t1_c15`,
`movie_2`.`country` AS `t1_c16`, `movie_2`.`mpaa_rating` AS `t1_c17`,
`movie_2`.`serial` AS `t1_c18`, `movie_2`.`animation` AS `t1_c19`,
`movie_2`.`nominations` AS `t1_c20`, `movie_2`.`awards` AS `t1_c21`,
`movie_2`.`oscars` AS `t1_c22`, `movie_2`.`budget` AS `t1_c23`,
`movie_2`.`story_en` AS `t1_c24`, `movie_2`.`updated_en` AS `t1_c25`,
`movie_2`.`tags_data` AS `t1_c26`, `movie_2`.`tags_count` AS `t1_c27`,
`movie_2`.`tags_full_data_en` AS `t1_c28`, `movie_2`.`rel_count` AS
`t1_c29`, `movie_2`.`parent_id` AS `t1_c30`, `movie_2`.`video_key_en` AS
`t1_c31`, `movie_2`.`picture_status` AS `t1_c32`, `movie_2`.`page_index` AS
`t1_c33`, `movie_2`.`weight_movie_ids` AS `t1_c34`,
`movie_2`.`best_movie_ids` AS `t1_c35`, `movie_2`.`new_movie_ids` AS
`t1_c36` FROM `en_movie_rel` `t`  INNER JOIN `en_movie` `movie_2` ON
(`t`.`movie_id_2`=`movie_2`.`id`) WHERE (t.movie_id_1 = 10203) ORDER BY
t.rating DESC LIMIT 30)
14:43:44.895205 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT `t`.`movie_id_1` AS `t0_c0`,
`t`.`movie_id_2` AS `t0_c1`, `t`.`mark_sum` AS `t0_c2`, `t`.`mark_num` AS
`t0_c3`, `t`.`rating` AS `t0_c4`, `t`.`sort_best` AS `t0_c5`,
`t`.`rating_percent` AS `t0_c6`, `t`.`mark_percent` AS `t0_c7`,
`movie_2`.`id` AS `t1_c0`, `movie_2`.`imdb_id` AS `t1_c1`,
`movie_2`.`imdb_id_int` AS `t1_c2`, `movie_2`.`status` AS `t1_c3`,
`movie_2`.`slug_en` AS `t1_c4`, `movie_2`.`name_en` AS `t1_c5`,
`movie_2`.`full_name` AS `t1_c6`, `movie_2`.`original_title` AS `t1_c7`,
`movie_2`.`year` AS `t1_c8`, `movie_2`.`imdb_rating` AS `t1_c9`,
`movie_2`.`imdb_vote` AS `t1_c10`, `movie_2`.`popularity` AS `t1_c11`,
`movie_2`.`weight` AS `t1_c12`, `movie_2`.`picture` AS `t1_c13`,
`movie_2`.`duration` AS `t1_c14`, `movie_2`.`genre` AS `t1_c15`,
`movie_2`.`country` AS `t1_c16`, `movie_2`.`mpaa_rating` AS `t1_c17`,
`movie_2`.`serial` AS `t1_c18`, `movie_2`.`animation` AS `t1_c19`,
`movie_2`.`nominations` AS `t1_c20`, `movie_2`.`awards` AS `t1_c21`,
`movie_2`.`oscars` AS `t1_c22`, `movie_2`.`budget` AS `t1_c23`,
`movie_2`.`story_en` AS `t1_c24`, `movie_2`.`updated_en` AS `t1_c25`,
`movie_2`.`tags_data` AS `t1_c26`, `movie_2`.`tags_count` AS `t1_c27`,
`movie_2`.`tags_full_data_en` AS `t1_c28`, `movie_2`.`rel_count` AS
`t1_c29`, `movie_2`.`parent_id` AS `t1_c30`, `movie_2`.`video_key_en` AS
`t1_c31`, `movie_2`.`picture_status` AS `t1_c32`, `movie_2`.`page_index` AS
`t1_c33`, `movie_2`.`weight_movie_ids` AS `t1_c34`,
`movie_2`.`best_movie_ids` AS `t1_c35`, `movie_2`.`new_movie_ids` AS
`t1_c36` FROM `en_movie_rel` `t`  INNER JOIN `en_movie` `movie_2` ON
(`t`.`movie_id_2`=`movie_2`.`id`) WHERE (t.movie_id_1 = 10203) ORDER BY
t.rating DESC LIMIT 30)
14:43:44.896414 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_genre`)
14:43:44.897202 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_genre`)
14:43:44.897269 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `en_genre`)
14:43:44.897454 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `en_genre`)
14:43:44.897489 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_genre` `t`)
14:43:44.897808 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_genre` `t`)
14:43:44.911134 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_mix`)
14:43:44.911863 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_mix`)
14:43:44.911941 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `en_mix`)
14:43:44.912122 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `en_mix`)
14:43:44.912204 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0,
:yp1='11', :yp2=0, :yp3=0, :yp4='0')
14:43:44.912559 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0,
:yp1='11', :yp2=0, :yp3=0, :yp4='0')
14:43:44.912635 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1='2',
:yp2=0, :yp3=0, :yp4='0')
14:43:44.912884 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1='2',
:yp2=0, :yp3=0, :yp4='0')
14:43:44.912944 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1=0,
:yp2='3', :yp3=0, :yp4='0')
14:43:44.913198 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1=0,
:yp2='3', :yp3=0, :yp4='0')
14:43:44.913264 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1=16,
:yp2=0, :yp3=0, :yp4='0')
14:43:44.913516 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_mix` `t` WHERE
`t`.`tag_id`=:yp0 AND `t`.`genre_id`=:yp1 AND `t`.`country_id`=:yp2 AND
`t`.`year`=:yp3 AND `t`.`serial`=:yp4 LIMIT 1. Bound with :yp0=0, :yp1=16,
:yp2=0, :yp3=0, :yp4='0')
14:43:44.914462 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_country`)
14:43:44.915024 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW FULL COLUMNS FROM `en_country`)
14:43:44.915079 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SHOW CREATE TABLE `en_country`)
14:43:44.915241 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SHOW CREATE TABLE `en_country`)
14:43:44.920325 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_country` `t`)
14:43:44.921240 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_country` `t`)
14:43:44.950068 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT `t`.`movie_id_1` AS `t0_c0`,
`t`.`movie_id_2` AS `t0_c1`, `t`.`mark_sum` AS `t0_c2`, `t`.`mark_num` AS
`t0_c3`, `t`.`rating` AS `t0_c4`, `t`.`sort_best` AS `t0_c5`,
`t`.`rating_percent` AS `t0_c6`, `t`.`mark_percent` AS `t0_c7`,
`movie_2`.`id` AS `t1_c0`, `movie_2`.`imdb_id` AS `t1_c1`,
`movie_2`.`imdb_id_int` AS `t1_c2`, `movie_2`.`status` AS `t1_c3`,
`movie_2`.`slug_en` AS `t1_c4`, `movie_2`.`name_en` AS `t1_c5`,
`movie_2`.`full_name` AS `t1_c6`, `movie_2`.`original_title` AS `t1_c7`,
`movie_2`.`year` AS `t1_c8`, `movie_2`.`imdb_rating` AS `t1_c9`,
`movie_2`.`imdb_vote` AS `t1_c10`, `movie_2`.`popularity` AS `t1_c11`,
`movie_2`.`weight` AS `t1_c12`, `movie_2`.`picture` AS `t1_c13`,
`movie_2`.`duration` AS `t1_c14`, `movie_2`.`genre` AS `t1_c15`,
`movie_2`.`country` AS `t1_c16`, `movie_2`.`mpaa_rating` AS `t1_c17`,
`movie_2`.`serial` AS `t1_c18`, `movie_2`.`animation` AS `t1_c19`,
`movie_2`.`nominations` AS `t1_c20`, `movie_2`.`awards` AS `t1_c21`,
`movie_2`.`oscars` AS `t1_c22`, `movie_2`.`budget` AS `t1_c23`,
`movie_2`.`story_en` AS `t1_c24`, `movie_2`.`updated_en` AS `t1_c25`,
`movie_2`.`tags_data` AS `t1_c26`, `movie_2`.`tags_count` AS `t1_c27`,
`movie_2`.`tags_full_data_en` AS `t1_c28`, `movie_2`.`rel_count` AS
`t1_c29`, `movie_2`.`parent_id` AS `t1_c30`, `movie_2`.`video_key_en` AS
`t1_c31`, `movie_2`.`picture_status` AS `t1_c32`, `movie_2`.`page_index` AS
`t1_c33`, `movie_2`.`weight_movie_ids` AS `t1_c34`,
`movie_2`.`best_movie_ids` AS `t1_c35`, `movie_2`.`new_movie_ids` AS
`t1_c36` FROM `en_movie_rel` `t`  INNER JOIN `en_movie` `movie_2` ON
(`t`.`movie_id_2`=`movie_2`.`id`) WHERE (t.movie_id_1 = 10203) ORDER BY
movie_2.weight DESC LIMIT 5)
14:43:44.958565 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT `t`.`movie_id_1` AS `t0_c0`,
`t`.`movie_id_2` AS `t0_c1`, `t`.`mark_sum` AS `t0_c2`, `t`.`mark_num` AS
`t0_c3`, `t`.`rating` AS `t0_c4`, `t`.`sort_best` AS `t0_c5`,
`t`.`rating_percent` AS `t0_c6`, `t`.`mark_percent` AS `t0_c7`,
`movie_2`.`id` AS `t1_c0`, `movie_2`.`imdb_id` AS `t1_c1`,
`movie_2`.`imdb_id_int` AS `t1_c2`, `movie_2`.`status` AS `t1_c3`,
`movie_2`.`slug_en` AS `t1_c4`, `movie_2`.`name_en` AS `t1_c5`,
`movie_2`.`full_name` AS `t1_c6`, `movie_2`.`original_title` AS `t1_c7`,
`movie_2`.`year` AS `t1_c8`, `movie_2`.`imdb_rating` AS `t1_c9`,
`movie_2`.`imdb_vote` AS `t1_c10`, `movie_2`.`popularity` AS `t1_c11`,
`movie_2`.`weight` AS `t1_c12`, `movie_2`.`picture` AS `t1_c13`,
`movie_2`.`duration` AS `t1_c14`, `movie_2`.`genre` AS `t1_c15`,
`movie_2`.`country` AS `t1_c16`, `movie_2`.`mpaa_rating` AS `t1_c17`,
`movie_2`.`serial` AS `t1_c18`, `movie_2`.`animation` AS `t1_c19`,
`movie_2`.`nominations` AS `t1_c20`, `movie_2`.`awards` AS `t1_c21`,
`movie_2`.`oscars` AS `t1_c22`, `movie_2`.`budget` AS `t1_c23`,
`movie_2`.`story_en` AS `t1_c24`, `movie_2`.`updated_en` AS `t1_c25`,
`movie_2`.`tags_data` AS `t1_c26`, `movie_2`.`tags_count` AS `t1_c27`,
`movie_2`.`tags_full_data_en` AS `t1_c28`, `movie_2`.`rel_count` AS
`t1_c29`, `movie_2`.`parent_id` AS `t1_c30`, `movie_2`.`video_key_en` AS
`t1_c31`, `movie_2`.`picture_status` AS `t1_c32`, `movie_2`.`page_index` AS
`t1_c33`, `movie_2`.`weight_movie_ids` AS `t1_c34`,
`movie_2`.`best_movie_ids` AS `t1_c35`, `movie_2`.`new_movie_ids` AS
`t1_c36` FROM `en_movie_rel` `t`  INNER JOIN `en_movie` `movie_2` ON
(`t`.`movie_id_2`=`movie_2`.`id`) WHERE (t.movie_id_1 = 10203) ORDER BY
movie_2.weight DESC LIMIT 5)
14:43:44.964183 profile system.db.CDbCommand.query
begin:system.db.CDbCommand.query(SELECT * FROM `en_movie` `t` WHERE
`t`.`id`=38371 LIMIT 1)
14:43:44.964771 profile system.db.CDbCommand.query
end:system.db.CDbCommand.query(SELECT * FROM `en_movie` `t` WHERE
`t`.`id`=38371 LIMIT 1)