Storing relations between users with specific viewing permissions - mysql

I am designing a database for MySQL to create a relationship between two users of an application. I am unsure of the best way to store the particulars of this relationship, though I currently intend to use one record per relationship in a link table called RELATIONS. Each user has basic data like their name and occupation stored in the USERS table, and more specific personal data stored linked by FKs in other tables, which we'll say are called OTHER1, OTHER2, and OTHER3, which will all contain some other data to be shared, we'll say each in a field called [Data] and identified with ID and USER_ID.
The difficulty is that the application allows users to specify what basic and advanced data that they show to each user, and vice versa. The RELATIONS link table needs to have FKs to USERS for the two users to set up the relationship, but I don't know how best to specify what data each user is able to share, because virtually all of the data that the database stores is stored optionally but all needs to possibly be hidden from a user that doesn't have permission to view it. The second user should be able to see if there is data there, however, so that he might request permission to view it.
My model for RELATIONS at this point looks like this:
RELATIONS
ID
USER_ID1
USER_ID2
USER1OTHER1_ID [(Value), Unshared, Null]
...
USER1OTHER100_ID [(Value), Unshared, Null]
USER2OTHER1_ID [(Value), Unshared, Null]
...
USER2OTHER100_ID [(Value), Unshared, Null]
So USER1OTHER1_ID will contain the FK to OTHER1 if User1 has shared it with User2, will be "Unshared" if it's present but unshared, and Null if User1 has no data in OTHER1. Same for USER2OTHER1 for sharing with User1. I don't like having a massive field array, though, and I don't like how I'd have to update all the relations if User1 later decides to add data to OTHER1. Is there a simpler and more normalised way of representing this?

I believe the normalized approach would be to only store whether userA has permissions to view the userB's data and not add FK references to it in the Relations table because you already have references to userB's data somewhere else. By storing additional references in the Relations table you are duplicating data and will have to ensure that it stays synchronized as you described in your question which will probably be an ongoing maintenance hassle and one more thing you have to keep in mind whenever you refactor your code.
If you only store permissions (no fks) in the Relations table you would join on a table (User?) to get the User's shared data or to see if it exists depending on the permission.
As far as having an excessive number of columns on the relations table, I don't think you will have enough to see a real degradation when querying the table (you could correct me on this). For clarity sake in the db code as well as your application code, I think you are better off to have a column for each permission than to try to find a short cut such as combining them in a clob or something.

The most succinct way I can readily imagine is to store one INT with the relationship, which is a bit-wise representation of the permissions; with the interpretation of that INT in the code. The INT will need as many bits as you have unique permissions, and then define constants for each of them. I'm not sure what language you are implementing in, but there about a few ways to skin this cat...
So, some pseudo-code might look like this:
define RELATION_PERMISSION_SEE_MY_PHOTOS = 1;
define RELATION_PERMISSION_SEE_MY_FRIENDS = 1<<1;
define RELATION_PERMISSION_SEE_MY_EMAIL = 1<<2;
and then build some arrays of supporting info (like localized strings, etc) to build your interface with, and then do something like this to modify it:
int new_permission = 0
foreach(user-selected-permissions as selected_permission) {
new_permission |= selected_permission
}
my_relation_model.permissions_flags = new_permission

one way would be to use essentially key value pairs..
similar to this:
user_1_id
user_2_id
field
privilege

.. because virtually all of the data that the database stores is stored optionally ...
Considering this, I would suggest 6NF for all user attributes.
The User table serves as an anchor and ideally holds only UserID.
Each user attribute has its own table with only UserID and the attribute value (6NF); a row exists only if the attribute is specified (all attribute values are NOT NULL).
Each attribute has also a sharing table with only OwnerID, VisitorID. A row exists only if the owner shares the attribute with the visitor.
In this model, a user can share only attributes that do exists. If you want to allow sharing of not specified attributes, point the OwnerID to the User table too.
To make thing simpler you can (should) create a view(s) for user data.

Related

Hibernate one to many multiple tables

I'm trying to design a system for giving users permissions on objects. Currently I have a database schema where there are roles and each role can have a permission on multiple 'securable objects'. Such an object can be a sensor, an other user or whatever new thing we might add later. So I have a table role_permissions that links a role to a user, sensor etc. A user can also have a permission directly, so there would also be a user_permissions table that link a user directly to a user, sensor etc.
Now the field that refers to a securable object can't be a foreign key, because the target objects can be of different types and thus come from different tables.
The problem I'm facing right now is how I can make Hibernate work with this. One-to-many relations won't work here I think because Hibernate can't possibly know in which table to look.
An alternative would be to create a role_user_permissions table, a role_sensor_permissions table, a user_user_permissions talbe, a user_sensor_permissions table, and a new role_other_type_permissions table + user_other_permissions table for every securable type that's in the system. So for every single type that needs to have permissions on it I would need 2 new tables to manage the permissions.
But now the database is cluttered with permissions tables that actually serve the exact same purpose but for different types. However, Hibernate IS happy to take this because through foreign keys it always knows what table to look in and what type the object is.
Does anyone know a best practice to solve this issue?
Thanks in advance,
Stan

Database Design - Creating Profile based on User Type

I have a requirement to show Different fields to Different User Types.
For Example, Admin UserType, show the form with 10 attributes
Super UserType, show the form with 2 attributes
Normal UserType, show the form with 2 attributes
How do I design the database table such a way UserType and the attributes are dynamic ?
Raja K
I imagine there are some common attributes among the users, right? You might approach this by "supertyping" the tables. First create a base table with the common attributes. Something like this:
Users
----------
ID (PK)
Username
AccountCreatedDate
etc.
Any user account would have a record in this table. Depending on whether or not it makes ongoing operations simpler you might even include a flag in the table indicating the user type.
You might then add additional tables for the other user types, where their PK is also a FK to this base table. Something like this:
AdminUsers
----------
ID (PK, FK to Users)
etc.
That would contain the attributes specific to an admin user. Another table would contain attributes specific to a super user. And so on. An added benefit here is that a single user can have multiple roles and be interpreted in multiple ways depending on the use case. And you can have some simple compiled views in the database which make querying the table structure easier.
This would work well for a static set of user types. If that set is going to change often during normal application usage (that is, if one of the operations of the application is that people can add user types) then you wouldn't want a rigid schema.
In cases like that you might make treat the fields as meta-attributes on a generic table of user properties. So you might have your base table again:
Users
----------
ID (PK)
Username
UserType
etc.
And then you might have a generic table of properties:
UserProperties
----------
ID (PK)
UserID (FK to Users)
PropertyName
PropertyValue
This is more dynamic, but it has some drawbacks that come to mind:
You can't maintain data types in the database. Everything becomes "stringly typed" and it's up to the application to interpret the types correctly. This will result in a ton of defensive programming code in the application.
You can't maintain the schema in the database. Things like required properties would need to be maintained by the application, the database couldn't guarantee it. So the potential for dirtier data is higher.
It's more difficult to query and report on this structure.
So there are pros and cons either way, whichever approach you take is up to you and the needs of the system you're building.

Database model with 3 kind of users

Im thinking about what is the better way to design a database with the following statements:
There are 3 kinds of users (3 differents roles).
They have some common fields, however they have differents fields too.
Solution A:
All user in the same table (some users will have empty fieds depending of their role).
Solution B:
A main table where i will add users and their role. In addition i will create 3 extra tables where i will record with extra fields (depending of the table) and each record will have an id related with the user in the main table.
Solution C: A main table with basic user info, and a second table with the metadata user info where each record means a field of a user. That it's similar than WordPress
Yours is a case of Specialization/Generalization. Since you said User (1, 2, 3) share common properties, it is best to have a General entity - User with all the common attributes.
Then you can Specialize to 3 different types and have the specific attributes to each type.
So, option B is what I think is best solution for your problem.
Option A will cause too many null values and option C is overly complicated.
That depends :-)
Will you ever treat the users the same? E.g. at login time: Will someone just login with a username and this can be any of the three user types? Then you need a user table with a username and a unique index on it. This is solution A or B. I'd prefer B over A, so you can decide which of the fields are nullable for the specific role.
Or will you never deal with a user with an unknown role (such as: a person logs in with a role plus a username, so it suffices to have three different tables each with their own usernames)? This would be three special user tables and no common user table.
Option C would be something easy to implement in order to give users additional attributes, but can become a hassle. Especially when there are obligatory fields and fields that link to other tables (such as a job number that is meant to be the key in the jobs table, but you cannot use a foreign key then). I usually don't take this route, if it is avoidable.

MySQL database design, two types of records - use one table or two separate tables?

I'm building an application that will have two different types of users, lets call one User_type_a and the other User_type_b. I'm wondering if I should create 1 table in my database for both types of users and have a property distinguishing what type of user each record is, or if I should create two separate tables for each type of user.
Considerations:
1. 99% of all users will be User_type_a
2. User_type_b will require properties in addition to User_type_a (such as credit card #'s, etc)
Which design approach is optimal? Or does it not really matter.
One table for users, assuming that user type b are real users. Create another table that links to the user table to store the CC details for user type B.
This allows you do do all major user changes easily (searching users, changing user details, looking up users for login, etc), but doesn't contain many wasted columns.
Note that if you are storing credit card numbers, your datacenter and architecture will have to be PCI compliant, which is expensive.
If type B has only additional information (columns) to the generic user type then use:
If types A and B have some common columns and a set of distinct columns for each one, then use
I both cases keep all common columns in the User table -- sub-type tables have only columns specific to each one. Note that UserID propagates to sub-type tables.
The best way to do this would be to store all users in the same table, and have a foreign key relating to a second table, which contains the extra information.
**USER TABLE**
NAME AGE TYPE FK
Grant 25 Adult 1
Susan 4 Child null
John 65 Adult 2
**EXTRA TABLE**
FK CREDITCARD OTHER
1 234234... blah
2 2334... blah
This would be more efficient with space.
So it sounds like User_type_a and User_type_b are both identical in terms of data, with the exception being that User_type_b has additional data above and beyond User_type_a (but User_type_a does not have any unique data like this).
Given this, I would create a single users table that stores the User_type_a data (i.e. the intersection of the two user types). Then create a second table for the additional User_type_b data, with a foreign key linking that one back to users. (Note that there is no column here in the users table defining which users are which type.)
How to tell the difference between the two user types? Simple: User_type_b has a related row in the second table; User_type_a does not. This makes it easy for any application functions that don't care about the difference to just get the common user data for everyone, while functions that need the extra User_type_b data (or otherwise only care about one type or the other) can still determine who is what type and get that extra data.
Use one table. They are both users. Your code will have more general use between both types so you will avoid having to do 2 sql queries when dealing with users (even though they are not relevant 99% of the time)

Can i create each table for each user in my social networking site?

I'm creating a social networking site with features similar to Facebook.
I want to start with schema design for my database.
What i thought was to create each table for each user who registers to our site.. am i doing right?
If a million users register to my site, a million tables will be created. how to go on about optimizing this? Please do suggest me techniques to overcome this and some references or books to learn about such concepts will be vry useful..
Thanks in Advance.
This is not the way you want to do it.
What you want to do is have a table (perhaps called 'users') that contains one row for each user that registers. Creating a new table for each user is completely pointless and would cause terrible performance.
Maybe something like this:
TABLE users
- username AS VARCHAR(255)
- password AS VARCHAR(255) (use a hashed password, of course)
- ...
Then when a user registers, simply insert the information they provide into the users table as a new row.
That would be massive overkill. You should probably read up on database design (start with normalisation, but don't overdo it). Then write down what you want to save for each user, and think about how to save it without saving data double.
But I'm pretty sure a table-per-user is not an option for this.
You must be confusing the meaning of the words database, table, field (or column), record (or row).
A database contains all your data for a specific project. There is always one database per project (or almost always)
A table contains all data of a specific entity and by saying entity, I mean an object type that is imaginable as real or seperatelly existing by itself. A person is an entity, a book is an entity, a phone is an entity, a movie is an entity, etc. Each of these would be seperate tables in a database.
A field (or column) is a data type that represents a specific characteristic (feature) of a table's entity. For example a table of users can have the fields: NAME, SURNAME, AGE, etc. These are all features that a user has.
A record (or row) is an actual item of one table. It is a single 'piece' of the table's entity. For example in a table of users, one record is one single user, namely {NAME:"John", SURNAME:"Smith", AGE:"32"}.
In your example, I can tell you for sure that you only need one database. You want to store information for many users, so you need one table called USER. You will need to store features to your users, like: name, surname, age, address, etc., then you will need to create the respective fields in this table: NAME, SURNAME, AGE, ADDRESS, etc. Then you will need to insert your data in the database as records. It will be one record per user you want to store.