I already have a good idea about how to create this, but I need some help making sure I did it correctly.

For this week's model, let's look at YouTube videos. Our end goal is to determine when a video has officially "gone viral by looking for 1 million views and at least half that many likes or comments. To do this we will need a database to track: . Videos, their URL, their number of views, their upload date, their length, their topic (what exactly is topic? Is it a tagging system? Is it text assigned by the creator? You decide and make note of the rule.) . Users, their username, what they have liked, comments that they have made, their last login, their real name, their username . Comments, who said what, when they said it and what they said it about Post your model with any rules you needed to add to define the model. When you post, include the select statement you would use on this model to find videos that are viral. You may not know how to get specific counts of comments, but that is ok. Focus on how you would select from multiple tables to find out what comments had been made on a video. Unread Subscribed