Movielogr

Hours Watched By Month in 2019

Number of hours sensoria has logged in 2019, by month.

Hours Watched in 2019 by month
MonthHours Watched
April2
  BENCHMARKS  
Loading Time: Base Classes  0.0025
Controller Execution Time ( Members / Hours Watched By Year Months )  0.0199
Total Execution Time  0.0224
  GET DATA  
No GET data exists
  MEMORY USAGE  
503,816 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/hours/2019
  CLASS/METHOD  
members/hours_watched_by_year_months
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 5 (0.0107 seconds)  (Hide)
0.0004  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '60ba799a878206c6d70a8b007fb9c2415f6f916f'
AND `ip_address` = '216.73.216.6' ?>
0.0003  
SELECT GET_LOCK('01b252f5f9aa3a67348c4e91ee4a4cc3', 300) AS ci_session_lock ?>
0.0004  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '60ba799a878206c6d70a8b007fb9c2415f6f916f'
AND `ip_address` = '216.73.216.6' ?>
0.0039  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 LIMIT 1 ?>
0.0058  
SELECT DATE_FORMAT(date_viewed, "%m") AS month, ROUND(SUM(MT.runtime)/60) AS hours_watched
FROM `ml_movies` `MV`
LEFT JOIN `ml_movie_titles` `MT` ON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`user_id` = 1
AND YEAR(date_viewed) = 2019
GROUP BY `month` ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)