How to enforce uniques across multiple tables - sql

I have the following tables in MySQL server:
Companies:
- UID (unique)
- NAME
- other relevant data
Offices:
- UID (unique)
- CompanyID
- ExternalID
- other data
Employees:
- UID (unique)
- OfficeID
- ExternalID
- other data
In each one of them the UID is unique identifier, created by the database.
There are foreign keys to ensure the links between Employee -> Office -> Company on the UID.
The ExternalID fields in Offices and Employees is the ID provided to my application by the Company (my client(s) actually). The clients does not have (and do not care) about my own IDs, and all the data my application receives from them is identified solely based on their IDs (i.e. ExternalID in my tables).
I.e. a request from the client in pseudo-language is like "I'm Company X, update the data for my employee Y".
I need to enforce uniqueness on the combination of CompanyID and Employees.ExternalID, so in my database there will be no duplicate ExternalID for the employees of the same company.
I was thinking about 3 possible solutions:
Change the schema for Employees to include CompanyID, and create unique constrain on the two fields.
Enforce a trigger, which upon update/insert in Employees validates the uniqueness.
Enforce the check on application level (i.e. my receiving service).
My alternative-dbadmin-in-me sais that (3) is the worst solution, as it does not protect the database of inconsistency in case of application bug or something else, and most probably will be the slowest one.
The trigger solution may be what I want, but it may become complicated, especially if a multiple inserts/updates need to be performed in a single statement, and I'm not sure about the performance vs. (1).
And (1) looks the fastest and easiest approach, but kind of goes against my understanding of relational model.
What SO DB experts opinion is about pros and cons of each of the approaches, especially if there is a possibility for adding an additional level of indirection - i.e. Company -> Office -> Department -> Employee, and the same uniqueness needs to be preserved (Company/Employee).

You're right - #1 is the best option.
Granted, I would question it at first glance (because of shortcutting) but knowing the business rule to ensure an employee is only related to one company - it makes sense.
Additionally, I'd have a foreign key relating the companyid in the employee table to the companyid in the office table. Otherwise, you allow an employee to be related to a company without an office. Unless that is acceptable...
Triggers are a last resort if the relationship can not be demonstrated in the data model, and servicing the logic from the application means the logic is centralized - there's no opportunity for bad data to occur, unless someone drops constraints (which means you have bigger problems).

Each of your company-provided tables should include CompanyID into the `UNIQUE KEY' over the company-provided ids.
Company-provided referential integrity should use company-provided ids:
CREATE TABLE company (
uid INT NOT NULL PRIMARY KEY,
name TEXT
);
CREATE TABLE office (
uid INT NOT NULL PRIMARY KEY,
companyID INT NOT NULL,
externalID INT NOT NULL,
UNIQIE KEY (companyID, externalID),
FOREIGN KEY (companyID) REFERENCES company (uid)
);
CREATE TABLE employee (
uid INT NOT NULL PRIMARY KEY,
companyID INT NOT NULL,
officeID INT NOT NULL,
externalID INT NOT NULL,
UNIQIE KEY (companyID, externalID),
FOREIGN KEY (companyID) REFERENCES company(uid)
FOREIGN KEY (companyID, officeID) REFERENCES office (companyID, externalID)
);
etc.

Set auto_increment_increment to the number of table you have.
SET auto_increment_increment = 3; (you might want to set this in your my.cnf)
Then manually set the starting auto_increment value of each table to different values
first table to 1, second table to 2, third table to 3
Table 1 will have values like 1,4,7,10,13,etc
Table 2 will have values like 2,5,8,11,14,etc
Table 3 will have values like 3,6,9,12,15,etc
Of course this is just ONE option, personally I'd just make it a combo value. Could be as simple as TableID, AutoincrementID, Where the TableID is constant in all rows.

Related

Can I use identity for primary key in more than one table in the same ER model

As it is said in the title, my question is can I use int identity(1,1) for primary key in more than one table in the same ER model? I found on Internet that Primary Key need to have unique value and row, for example if I set int identity (1,1) for table:
CREATE TABLE dbo.Persons
(
Personid int IDENTITY(1,1) PRIMARY KEY,
LastName varchar(255) NOT NULL,
FirstName varchar(255),
Age int
);
GO
and the other table
CREATE TABLE dbo.Job
(
jobID int IDENTITY(1,1) NOT NULL PRIMARY KEY,
nameJob NVARCHAR(25) NOT NULL,
Personid int FOREIGN KEY REFERENCES dbo.Persons(Personid)
);
Wouldn't Personid and jobID have the same value and because of that cause an error?
Constraints in general are defined and have a scope of one table (object) in the database. The only exception is the FOREIGN KEY which usually has a REFERENCE to another table.
The PRIMARY KEY (or any UNIQUE key) sets a constraint only on the table it is defined on and is not affecting or is not affected by other constraints on other tables.
The PRIMARY KEY defines a column or a set of columns which can be used to uniquely identify one record in one table (and none of the columns can hold NULL, UNIQUE on the other hand allows NULLs and how it is treated might differ in different database engines).
So yes, you might have the same value for PersonID and JobID, but their meaning is different. (And to select the one unique record, you will need to tell SQL Server in which table and in which column of that table you are looking for it, this is the table list and the WHERE or JOIN conditions in the query).
The query SELECT * FROM dbo.Job WHERE JobID = 1; and SELECT * FROM dbo.Person WHERE PersonID = 1; have a different meaning even when the value you are searching for is the same.
You will define the IDENTITY on the table (the table can have only one IDENTITY column). You don't need to have an IDENTITY definition on a column to have the value 1 in it, the IDENTITY just gives you an easy way to generate unique values per table.
You can share sequences across tables by using a SEQUENCE, but that will not prevent you to manually insert the same values into multiple tables.
In short, the value stored in the column is just a value, the table name, the column name and the business rules and roles will give it a meaning.
To the notion "every table needs to have a PRIMARY KEY and IDENTITY, I would like to add, that in most cases there are multiple (independent) keys in the table. Usually every entity has something what you can call business key, which is in loose terms the key what the business (humans) use to identify something. This key has very similar, but usually the same characteristics as a PRIMARY KEY with IDENTITY.
This can be a product's barcode, or the employee's ID card number, or something what is generated in another system (say HR) or a code which is assigned to a customer or partner.
These business keys are useful for humans, but not always useful for computers, but they could serve as PRIMARY KEY.
In databases we (the developers, architects) like simplicity and a business key can be very complex (in computer terms), can consist of multiple columns, and can also cause performance issues (comparing a strings is not the same as comparing numbers, comparing multiple columns is less efficient than comparing one column), but the worst, it might change over time. To resolve this, we tend to create our own technical key which then can be used by computers more easily and we have more control over it, so we use things like IDENTITYs and GUIDs and whatnot.

Generic Database table design

Just trying to figure out the best way to design my table for the following scenario:
I have several areas in my system (documents, projects, groups and clients) and each of these can have comments logged against them.
My question is should I have one table like this:
CommentID
DocumentID
ProjectID
GroupID
ClientID
etc
Where only one of the ids will have data and the rest will be NULL or should I have a separate CommentType table and have my comments table like this:
CommentID
CommentTypeID
ResourceID (this being the id of the project/doc/client)
etc
My thoughts are that option 2 would be more efficient from an indexing point of view. Is this correct?
Option 2 is not a good solution for a relational database. It's called polymorphic associations (as mentioned by #Daniel Vassallo) and it breaks the fundamental definition of a relation.
For example, suppose you have a ResourceId of 1234 on two different rows. Do these represent the same resource? It depends on whether the CommentTypeId is the same on these two rows. This violates the concept of a type in a relation. See SQL and Relational Theory by C. J. Date for more details.
Another clue that it's a broken design is that you can't declare a foreign key constraint for ResourceId, because it could point to any of several tables. If you try to enforce referential integrity using triggers or something, you find yourself rewriting the trigger every time you add a new type of commentable resource.
I would solve this with the solution that #mdma briefly mentions (but then ignores):
CREATE TABLE Commentable (
ResourceId INT NOT NULL IDENTITY,
ResourceType INT NOT NULL,
PRIMARY KEY (ResourceId, ResourceType)
);
CREATE TABLE Documents (
ResourceId INT NOT NULL,
ResourceType INT NOT NULL CHECK (ResourceType = 1),
FOREIGN KEY (ResourceId, ResourceType) REFERENCES Commentable
);
CREATE TABLE Projects (
ResourceId INT NOT NULL,
ResourceType INT NOT NULL CHECK (ResourceType = 2),
FOREIGN KEY (ResourceId, ResourceType) REFERENCES Commentable
);
Now each resource type has its own table, but the serial primary key is allocated uniquely by Commentable. A given primary key value can be used only by one resource type.
CREATE TABLE Comments (
CommentId INT IDENTITY PRIMARY KEY,
ResourceId INT NOT NULL,
ResourceType INT NOT NULL,
FOREIGN KEY (ResourceId, ResourceType) REFERENCES Commentable
);
Now Comments reference Commentable resources, with referential integrity enforced. A given comment can reference only one resource type. There's no possibility of anomalies or conflicting resource ids.
I cover more about polymorphic associations in my presentation Practical Object-Oriented Models in SQL and my book SQL Antipatterns.
Read up on database normalization.
Nulls in the way you describe would be a big indication that the database isn't designed properly.
You need to split up all your tables so that the data held in them is fully normalized, this will save you a lot of time further down the line guaranteed, and it's a lot better practice to get into the habit of.
From a foreign key perspective, the first example is better because you can have multiple foreign key constraints on a column but the data has to exist in all those references. It's also more flexible if the business rules change.
To continue from #OMG Ponies' answer, what you describe in the second example is called a Polymorphic Association, where the foreign key ResourceID may reference rows in more than one table. However in SQL databases, a foreign key constraint can only reference exactly one table. The database cannot enforce the foreign key according to the value in CommentTypeID.
You may be interested in checking out the following Stack Overflow post for one solution to tackle this problem:
MySQL - Conditional Foreign Key Constraints
The first approach is not great, since it is quite denormalized. Each time you add a new entity type, you need to update the table. You may be better off making this an attribute of document - I.e. store the comment inline in the document table.
For the ResourceID approach to work with referential integrity, you will need to have a Resource table, and a ResourceID foreign key in all of your Document, Project etc.. entities (or use a mapping table.) Making "ResourceID" a jack-of-all-trades, that can be a documentID, projectID etc.. is not a good solution since it cannot be used for sensible indexing or foreign key constraint.
To normalize, you need to the comment table into one table per resource type.
Comment
-------
CommentID
CommentText
...etc
DocumentComment
---------------
DocumentID
CommentID
ProjectComment
--------------
ProjectID
CommentID
If only one comment is allowed, then you add a unique constraint on the foreign key for the entity (DocumentID, ProjectID etc.) This ensures that there can only be one row for the given item and so only one comment. You can also ensure that comments are not shared by using a unique constraint on CommentID.
EDIT: Interestingly, this is almost parallel to the normalized implementation of ResourceID - replace "Comment" in the table name, with "Resource" and change "CommentID" to "ResourceID" and you have the structure needed to associate a ResourceID with each resource. You can then use a single table "ResourceComment".
If there are going to be other entities that are associated with any type of resource (e.g. audit details, access rights, etc..), then using the resource mapping tables is the way to go, since it will allow you to add normalized comments and any other resource related entities.
I wouldn't go with either of those solutions. Depending on some of the specifics of your requirements you could go with a super-type table:
CREATE TABLE Commentable_Items (
commentable_item_id INT NOT NULL,
CONSTRAINT PK_Commentable_Items PRIMARY KEY CLUSTERED (commentable_item_id))
GO
CREATE TABLE Projects (
commentable_item_id INT NOT NULL,
... (other project columns)
CONSTRAINT PK_Projects PRIMARY KEY CLUSTERED (commentable_item_id))
GO
CREATE TABLE Documents (
commentable_item_id INT NOT NULL,
... (other document columns)
CONSTRAINT PK_Documents PRIMARY KEY CLUSTERED (commentable_item_id))
GO
If the each item can only have one comment and comments are not shared (i.e. a comment can only belong to one entity) then you could just put the comments in the Commentable_Items table. Otherwise you could link the comments off of that table with a foreign key.
I don't like this approach very much in your specific case though, because "having comments" isn't enough to put items together like that in my mind.
I would probably go with separate Comments tables (assuming that you can have multiple comments per item - otherwise just put them in your base tables). If a comment can be shared between multiple entity types (i.e., a document and a project can share the same comment) then have a central Comments table and multiple entity-comment relationship tables:
CREATE TABLE Comments (
comment_id INT NOT NULL,
comment_text NVARCHAR(MAX) NOT NULL,
CONSTRAINT PK_Comments PRIMARY KEY CLUSTERED (comment_id))
GO
CREATE TABLE Document_Comments (
document_id INT NOT NULL,
comment_id INT NOT NULL,
CONSTRAINT PK_Document_Comments PRIMARY KEY CLUSTERED (document_id, comment_id))
GO
CREATE TABLE Project_Comments (
project_id INT NOT NULL,
comment_id INT NOT NULL,
CONSTRAINT PK_Project_Comments PRIMARY KEY CLUSTERED (project_id, comment_id))
GO
If you want to constrain comments to a single document (for example) then you could add a unique index (or change the primary key) on the comment_id within that linking table.
It's all of these "little" decisions that will affect the specific PKs and FKs. I like this approach because each table is clear on what it is. In databases that's usually better then having "generic" tables/solutions.
Of the options you give, I would go for number 2.
Option 2 is a good way to go. The issue that I see with that is you are putting the resouce key on that table. Each of the IDs from the different resources could be duplicated. When you join resources to the comments you will more than likely come up with comments that do not belong to that particular resouce. This would be considered a many to many join. I would think a better option would be to have your resource tables, the comments table, and then tables that cross reference the resource type and the comments table.
If you carry the same sort of data about all comments regardless of what they are comments about, I'd vote against creating multiple comment tables. Maybe a comment is just "thing it's about" and text, but if you don't have other data now, it's likely you will: date the comment was entered, user id of person who made it, etc. With multiple tables, you have to repeat all these column definitions for each table.
As noted, using a single reference field means that you could not put a foreign key constraint on it. This is too bad, but it doesn't break anything, it just means you have to do the validation with a trigger or in code. More seriously, joins get difficult. You can just say "from comment join document using (documentid)". You need a complex join based on the value of the type field.
So while the multiple pointer fields is ugly, I tend to think that's the right way to go. I know some db people say there should never be a null field in a table, that you should always break it off into another table to prevent that from happening, but I fail to see any real advantage to following this rule.
Personally I'd be open to hearing further discussion on pros and cons.
Pawnshop Application:
I have separate tables for Loan, Purchase, Inventory & Sales transactions.
Each tables rows are joined to their respective customer rows by:
customer.pk [serial] = loan.fk [integer];
= purchase.fk [integer];
= inventory.fk [integer];
= sale.fk [integer];
I have consolidated the four tables into one table called "transaction", where a column:
transaction.trx_type char(1) {L=Loan, P=Purchase, I=Inventory, S=Sale}
Scenario:
A customer initially pawns merchandise, makes a couple of interest payments, then decides he wants to sell the merchandise to the pawnshop, who then places merchandise in Inventory and eventually sells it to another customer.
I designed a generic transaction table where for example:
transaction.main_amount DECIMAL(7,2)
in a loan transaction holds the pawn amount,
in a purchase holds the purchase price,
in inventory and sale holds sale price.
This is clearly a denormalized design, but has made programming alot easier and improved performance. Any type of transaction can now be performed from within one screen, without the need to change to different tables.

SQL Server 2008 - Table - Clarifications

I am new to SQL Server 2008 database development.
Here I have a master table named ‘Student’ and a child table named ‘Address’. The common column between these tables is ‘Student ID’.
My doubts are:
Do we need to put ‘Address Id’ in the ‘Address’ table and make it primary key? Is it mandatory? ( I won’t be using this ‘Address Id’ in any of my reports )
Is Primary key column a must in any table?
Would you please help me on these.
Would you please also refer best links/tutorials for SQL Server 2008 database design practices (If you are aware of) which includes naming conventions, best practices, SQL optimizations etc. etc.
1) Yes, having an ADDRESS_ID column as the primary key of the ADDRESS table is a good idea.
But having the STUDENT_ID as a foreign key in the ADDRESS table is not a good idea. This means that an address record can only be associated to one student. Students can have roommates, so they'd have identical addresses. Which comes back to why it's a good idea to have the ADDRESS_ID column as a primary key, as it will indicate a unique address record.
Rather than have the STUDENT_ID column in the ADDRESS table, I'd have a corrollary/xref/lookup table between the STUDENT and ADDRESS tables:
STUDENT_ADDRESSES_XREF
STUDENT_ID, pk, fk to STUDENTS table
ADDRESS_ID, pk, fk to ADDRESS table
EFFECTIVE_DATE, date, not null
EXPIRY_DATE, date, not null
This uses a composite primary key, so that only one combination of the student & address exist. I added the dates in case there was a need to know when exactly, because someone could move back home/etc after all.
Most importantly, this works off the ADDRESS_ID column to allow for a single address to be associated to multiple people.
2) Yes, defining a primary key is frankly a must for any table.
In most databases, the act also creates an index - making searching more efficient. That's on top of the usual things like making sure a record is a unique entry...
Every table should have a way to uniquely and unambiguously identify a record. Make AddressID the primary key for the address table.
Without a primary key, the database will allow duplicate records; possibly creating join problems or trigger problems (if you implement them) down the road.

implementing UNIQUE across linked tables in MySQL

a USER is a PERSON and a PERSON has a COMPANY - user -> person is one-to-one, person -> company is many-to-one.
person_id is FK in USER table.
company_id is FK in PERSON table.
A PERSON may not be a USER, but a USER is always a PERSON.
If company_id was in user table, I could create a unique key based on username and company_id, but it isn't, and would be a duplication of data if it was.
Currently, I'm implementing the unique username/company ID rule in the RoseDB manager wrapper code, but it feels wrong. I'd like to define the unique rule at the DB level if I can, but I'm not sure excactly how to approach it. I tried something like this:
alter table user add unique(used_id,person.company_id);
but that doesn't work.
By reading through the documentation, I can't find an example that does anything even remotely similar. Am I trying to add functionality that doesn't exist, or am I missing something here?
Well, there's nothing simple that does what you want. You can probably enforce the constraint you need using BEFORE INSERT and BEFORE UPDATE triggers, though. See this SO question about raising MySQL errors for how to handle making the triggers fail.
Are there more attributes to your PERSON table? Reason I ask is that what you want to implement is a typical corollary table:
USERS table:
user_id (pk)
USER_COMPANY_XREF (nee PERSON) table:
user_id (pk, fk)
company_id (pk, fk)
EFFECTIVE_DATE (not null)
EXPIRY_DATE (not null)
COMPANIES table:
company_id (pk)
The primary key of the USER_COMPANY_XREF table being a composite key of USERS.user_id and COMPANIES.company_id would allow you to associate a user with more than one company while not duplicating data in the USERS table, and provide referencial integrity.
You could define the UNIQUE constraint in the Person table:
CREATE TABLE Company (
company_id SERIAL PRIMARY KEY
) ENGINE=InnoDB;
CREATE TABLE Person (
person_id SERIAL PRIMARY KEY,
company_id BIGINT UNSIGNED,
UNIQUE KEY (person_id, company_id),
FOREIGN KEY (company_id) REFERENCES Company (company_id)
) ENGINE=InnoDB;
CREATE TABLE User (
person_id BIGINT UNSIGNED PRIMARY KEY,
FOREIGN KEY (person_id) REFERENCES Person (person_id)
) ENGINE=InnoDB;
But actually you don't need the unique constraint even in the Person table, because person_id is already unique on its own. There's no way a given person_id could reference two companies.
So I'm not sure what problem you're trying to solve.
Re your comment:
That doesn't solve the issue of allowing the same username to exist in different companies.
So you want a given username to be unique within one company, but usable in different companies? That was not clear to me from your original question.
So if you don't have many other attributes specific to users, I'd combine User with Person and add an "is_user" column. Or just rely on it being implicitly true that a Person with a non-null cryptpass is by definition a User.
Then your problem with cross-table UNIQUE constraints goes away.

Database Design

I am making a webapp right now and I am trying to get my head around the database design.
I have a user model(username (which is primary key), password, email, website)
I have a entry model(id, title, content, comments, commentCount)
A user can only comment on an entry once. What is the best and most efficient way to go about doing this?
At the moment, I am thinking of another table that has username (from user model) and entry id (from entry model)
**username id**
Sonic 4
Sonic 5
Knuckles 2
Sonic 6
Amy 15
Sonic 20
Knuckles 5
Amy 4
So then to list comments for entry 4 it searches for id=4.
On a side note:
Instead of storing a commentCount, would it be better to calculate the comment count from the database each time when needed?
Your design is basically sound. Your third table should be named something like UsersEntriesComments, with fields UserName, EntryID and Comment. In this table, you would have a compound primary key consisting of the UserName and EntryID fields; this would enforce the rule that each user can comment on each entry only once. The table would also have foreign key constraints such that UserName must be in the Users table, and EntryID must be in the Entries table (the ID field, specifically).
You could add an ID field to the Users table, but many programmers (myself included) advocate the use of "natural" keys where possible. Since UserNames must be unique in your system, this is a perfectly valid (and easily readable) primary key.
Update: just read your question again. You don't need the Comments or the CommentsCount fields in your Entries table. Comments would properly be stored in the UsersEntriesComments table, and the counts would be calculated dynamically in your queries (saving you the trouble of updating this value yourself).
Update 2: James Black makes a good point in favor of not using UserName as the primary key, and instead adding an artificial primary key to the table (UserID or some such). If you use UserName as the primary key, allowing a user to change their user name is more difficult, as you have to change the username in all the related tables as well.
What exactly do you mean by
entry model(id, title, content, **comments**, commentCount)
(emphasis mine)? Since it looks like you have multiple comments per entity, they should be stored in a separate table:
comments(id, entry_id, content, user_id)
entry_id and user_id are foreign keys to respective tables. Now you just need to create a unique index on (entry_id, user_id) to ensure user can only add one comment per entity.
Also, you may want to create a surrogate (numeric, generated via sequence / identity) primary key for your users table instead of making user name your PK.
Here's my recommendation for your data model:
USERS table
USER_ID (pk, int)
USER_NAME
PASSWORD
EMAIL
WEBSITE
ENTRY table
ENTRY_ID (pk, int)
ENTRY_TITLE
CONTENT
ENTRY_COMMENTS table
ENTRY_ID (pk, fk)
USER_ID (pk, fk)
COMMENT
This setup allows an ENTRY to have 0+ comments. When a comment is added, the primary key being a composite key of ENTRY_ID and USER_ID means that the pair can only exist once in the table (IE: 1, 1 won't allow 1, 1 to be added again).
Do not store counts in a table - use a VIEW for that so the number can be generated based on existing data at the time of execution.
I wouldn't use the username as a primary ID. I would make a numeric id with autoincrement
I would use that new id in the relations table with a unique key on the 2 fields
Even though it isn't in the question, you may want to have a userid that is the primary key, otherwise it will be difficult if the user is allowed to change their username, or make certain people know you cannot change your username.
Make the joined table have a unique constraint on the userid and entryid. That way the database forces that there is only one comment/entry/user.
It would help if you specified a database, btw.
It sounds like you want to guarantee that the set of comments is unique with respect to username X post_id. You can do this by using a unique constraint, or if your database system doesn't support that explicitly, with an index that does the same. Here's some SQL expressing that:
CREATE TABLE users (
username VARCHAR(10) PRIMARY KEY,
-- any other data ...
);
CREATE TABLE posts (
post_id INTEGER PRIMARY KEY,
-- any other data ...
);
CREATE TABLE comments (
username VARCHAR(10) REFERENCES users(username),
post_id INTEGER REFERENCES posts(post_id),
-- any other data ...
UNIQUE (username, post_id) -- Here's the important bit!
);