Example:
primary_release_date > 2015/09/25 (in England)
primary_release_year > 2015
release_date > 2016/03/14 (in France)
Year > 2016
release_date > 2017/01/12 (in Brazil)
Year > 2017
Date and Year: The data is the same.
The difference is the way the data is presented.
The full date (2015/09/25) or only the year (2015).
The difference is between primary and non-primary
Primary is the oldest date of the movie in the DB.
It is the year that appears next to the title, in parentheses.
Non-primary are the dates, any date, release in all countries or languages.
That is: 2015 in England, 2016 in France and 2017 in Brazil.
@ticao2 is correct, primary comes down to a single data that we hold on the item. What and how we calculate the primary release date is explained here. Otherwise a release date is just one of the many that is added to a movie/TV show.
Reply by ticao2 š§š· pt-BR
on February 17, 2018 at 12:48 PM
I'm not sure, but I'll take the risk:
Date and Year: The data is the same.
The difference is the way the data is presented.
The full date (2015/09/25) or only the year (2015).
The difference is between primary and non-primary
Primary is the oldest date of the movie in the DB.
It is the year that appears next to the title, in parentheses.
Non-primary are the dates, any date, release in all countries or languages.
That is: 2015 in England, 2016 in France and 2017 in Brazil.
Reply by Travis Bell
on February 21, 2018 at 12:52 PM
@ticao2 is correct, primary comes down to a single data that we hold on the item. What and how we calculate the primary release date is explained here. Otherwise a release date is just one of the many that is added to a movie/TV show.