Data Tables

Users

column name	data type	details
id	integer	not null, primary key
username	string	not null, unique, indexed
password_digest	string	not null, indexed
location	string

• Users will also have a photo held by active storage

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Whiskey

column name	data type	details
id	integer	not null, primary key
name	string	not null, unique, indexed
type	string	not null
ABV	float	not null
proof	integer	not null
description	text
distillery_id	integer	not null, foreign key, indexed

• Drinks will have many photos held by active storage
• Drinks will have many Reviews

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Distilleries

column name	data type	details
id	integer	not null, primary key
name	string	not null
lat	float	not null, unique
long	float	not null, unique
description	text

• Distilleries will have many Drinks

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Reviews

column name	data type	details
id	integer	not null, primary key, indexed
rating	float	not null
body	text	not null
pour	string	not null, only certain types
location	string
whiskey_id	integer	not null, foreign key
user_id	integer	not null, foreign key

• Reviews will have many Comments and Cheers

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Comments

column name	data type	details
id	integer	not null, primary key
body	text	not null
review_id	integer	not null
user_id	integer	not null

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Whiskey_List

column name	data type	details
id	integer	not null, primary key
name	string	not null
user_id	integer	not null, foreign key

• User lists need to be unique so we need to add a unique index on [name, user_id]

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Join Tables

Cheers

column name	data type	details
id	integer	not null, primary key
user_id	integer	not null, foreign key
review_id	integer	not null, foreign key

• Cheers act as likes to a comment so it will join a user to a review

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Liked_Whiskeys

column name	data type	details
id	integer	not null, primary key
drink_id	integer	not null, foreign key
list_id	integer	not null, foreign key

• Users can add whiskeys to their lists so this table joins whiskeys to a list
• A drink can only be added to each list once so we need a unique index on [drink_id, list_id]