Oracle SQL optional primary key - sql

I'm having a problem in an oracle SQL project I'm working on:
I have a (weak) entity 'Ticket' that has as primary key: (Customer_id,packet_id,project_id,ticket_id). Customer_id, packet_id and project_id are also foreign keys.
But, a ticket can only be for a packet OR a project, and because they are both in the primary key, they can't be null, while one of them actually will always be null. But I need both because a ticket always belongs to a one of them.
I thought of a possible solution and I thought I could make 1 ID for all products, but then there is another problem, because if I want to implement this product_id as a foreign key, I don't know to which entity I should let it reference to.
Is there a way to make 'optional primary keys' or work with if-statements when creating tables? Or a way to make an optional reference? I've tried if-statements and a case but it didn't work.

A lot will depend on exactly what these entities represent. Since a ticket can be for either a packet or a project, that implies that there is some higher-level entity that combines both packets and projects. That could either be modeled as a new table that is the parent to both PACKET and PROJECT or it could be modeled by combining the PACKET and PROJECT table and adding a TYPE column that differentiates between packets and projects. The TICKET table would then reference either the new parent table or the combined table.
Taking a step back, though, if the TICKET entity has a TICKET_ID, it seems likely that the TICKET_ID alone should be the primary key. It seems unusual that you would have a composite primary key if you have a TICKET_ID column-- do you really want to allow multiple rows in the TICKET table with the same TICKET_ID that are related to different customers, packets, and projects? If TICKET_ID alone is the primary key, then both PACKET_ID and PROJECT_ID can be nullable foreign keys and you can create a CHECK constraint that ensures that exactly one of the two is non-NULL.

Related

SQL many-to-many

I need to build a simple forum (message board) as a school project. But I came across one problem. In the img above there are 2 tables: post and category, which have many-to-many relationship. I made a bridge table, which stores the postKey and categoryKey. Is it a bad practice to create a composite primary key from those 2 keys, or I need something like postCategoryKey? And what else should I improve?
On my opinion, there is no need for PostCategoryKey, due to it's only a relationship table and you won't accés it by postCategoryKey.
I would create the PK using the 2 others FK (postKey and categoryKey).
Hope it helps!
It depends, if you plan later on to add some extra metadata to postCategoryKey in a separate table, then it makes sense.
In your case - I'd go with a composite primary key and get rid of postCategoryKey
You will have to make postKey and categoryKey not null and create a unique constraint on them anyway. That makes them a key for the table, no matter whether you call this the "primary key" or not.
So, there are three options:
Leave this as described with NOT NULL and the unique constraint.
Declare the two columns the table's primary key.
Create an additional column postCategoryKey and make this the primary key.
The decision doesn't really matter. Some companies have a database style convention. In that case it's easy; just follow the company rules. Some people want every table to have a single-column primary key. If so, add that PK column. Some people want bridge tables to have a composite primary key to imediately show what identifies a row. My personal preference is the latter, but any method is as good as the other actually. Just stay consistent in your database.

No primary key vs Composite primary Key

My scenario is to have a table for logging and reporting some important settings that users can change in a set of sites we maintain (each site has its own DB). When I was designing the table (going to be deployed on each DB), I was confused if I require a Primary Key or not. I have a column named SiteID and each row in the logging table will have SiteId, newVal of Setting, oldVal of setting, Change date. I will be using this to see the history of changes on a Site, filter changes by date etc. So in this scenario, obviously SiteId alone cannot be a PK, but do I really have to add a new column like LogId to make a composite PK ? Am I missing anything in here ?
You need to focus on your use case.
If you can avoid data duplication (e.g. from the application side) and you know your data, and know what type of index etc. you need, you can easily avoid that; mainly if you talking about massive scans for reporting and when data duplication is not issue.
In many MPP databases (databases that target reporting, e.g. Vertica) a primary key is optional.
So if you know your data and use cases, you can avoid primary keys.
A table without duplicate rows always has at least one candidate key. We can pick one to declare via PRIMARY KEY; any others are via UNIQUE NOT NULL. (UNIQUE NOT NULL is the constraint that you get from a PRIMARY KEY declaration.) If you don't tell the DBMS about your candidate keys then it can't help you by, say, reducing errors by preventing duplicates or improving performance by implicitly defining an index on its columns.
It's not clear from your question how you record what setting given new & old values are for. If your columns are siteId, setting, newValue, oldValue & changeDate then your table has one candidate key, (siteID, setting, changeDate). As the only candidate key, it is the primary key. If setting values identify the settings so that your columns are siteId, newValue, oldValue & changeDate then you have two candidate keys, (siteID, newValue, changeDate) and (siteID, oldValue, changeDate). Each should get a UNIQUE NOT NULL constraint. One could be via a PRIMARY KEY declaration.
If you add another column of unique/surrogate/id values then the table has another candidate key. As before constrain all of them via a UNIQUE NOT NULL constraint, one of which can be expressed via PRIMARY KEY. There are reasons for adding such a unique/surrogate/id column, but it's not because there's no primary key unless the table would otherwise have duplicates rows.
All entity tables should have a PK, not all tables. History/log tables typically do not have a PK because they represent events, not entities. (Rather, they don't need a PK. I've seen them defined with one (generally auto generated) but I have yet to see the value used in a query. As far as I've been able to tell, they are completely superfluous.)
What history and log tables do have is a timestamp field and a field representing what event took place. The rest of the record will have some kind of entity information, including the entity PK, and other data concerning the event -- like before and after values such as the OP specified.
The timestamp column will be indexed, along with the entity ID (so one may examine all events that took place on a specified entity over a time period) and/or the event ID (so one may examine all the entities on which a specified event took place over a time period). This all depends on the type of information needed from the table.
I would make the schema like this
{SiteId,version,Setting,Change date}
As, old setting you can find in previous version so keep the value on each version is fine.
Of course, you can also use change date to be a PK like below:
{SiteId,Change date,Setting,}
If the date is include time and your scenario is allow this, using date and siteID is better.

Creating a many-to-many join table where FK's might be duplicated, but payload information will always ensure uniqueness

Consider the following Many-to-Many join table with relevant payload information:
| (Key) FK_File_ID | (Key) FK_Status_ID | DateTime |
My problem is that a given file may be put into a specific status multiple times. throughout its lifetime. However, it could never be in that same status at the same time; Datetime will always ensure that the two entries are unique.
My problem is that I can't set DateTime as a key, because I need to be able to update it if a user made a mistake on the time that file was put into that status. (Currently, the client program, which I don't have control of, has the user select the time that a file was placed into that status). I'm using Entity Framework, which would not let me update that date column if it were marked as a key.
In this case, should I give the join table it's own ID column? I don't know if there are ramifications for doing it like that. If it has it's own ID column, I suppose that means that the Primary key no longer needs to be composite, and can simply use the ID column as it's primary key now?
What is the best way to tackle this problem?
As soon as you need to add another attribute to a join table then it is no longer just a join table, and you need an entity.
In this example the natural key is a composite of all 3 columns. But creating foreign keys to a composite key is more difficult, especially if you have to update the primary key as you do here.
I would add an ID field as the primary key and add a unique index on the natural key.

Database "key/ID" design ideas, Surrogate Key, Primary Key, etc

So I've seen several mentions of a surrogate key lately, and I'm not really sure what it is and how it differs from a primary key.
I always assumed that ID was my primary key in a table like this:
Users
ID, Guid
FirstName, Text
LastName, Text
SSN, Int
however, wikipedia defines a surrogate key as "A surrogate key in a database is a unique identifier for either an entity in the modeled world or an object in the database. The surrogate key is not derived from application data."
According to Wikipedia, it looks like ID is my surrogate key, and my primary key might be SSN+ID? Is this right? Is that a bad table design?
Assuming that table design is sound, would something like this be bad, for a table where the data didn't have anything unique about it?
LogEntry
ID, Guid
LogEntryID, Int [sql identity field +1 every time]
LogType, Int
Message, Text
No, your ID can be both a surrogate key (which just means it's not "derived from application data", e.g. an artificial key), and it should be your primary key, too.
The primary key is used to uniquely and safely identify any row in your table. It has to be stable, unique, and NOT NULL - an "artificial" ID usually has those properties.
I would normally recommend against using "natural" or real data for primary keys - are not REALLY 150% sure it's NEVER going to change?? The Swiss equivalent of the SSN for instance changes each time a woman marries (or gets divorced) - hardly an ideal candidate. And it's not guaranteed to be unique, either......
To spare yourself all that grief, just use a surrogate (artificial) ID that is system-defined, unique, and never changes and never has any application meaning (other than being your unique ID).
Scott Ambler has a pretty good article here which has a "glossary" of all the various keys and what they mean - you'll find natural, surrogate, primary key and a few more.
First, a Surrogate key is a key that is artificially generated within the database, as a unique value for each row in a table, and which has no dependency whatsoever on any other attribute in the table.
Now, the phrase Primary Key is a red herring. Whether a key is primary or an alternate doesn't mean anything. What matters is what the key is used for. Keys can serve two functions which are fundementally inconsistent with one another.
They are first and foremost there to ensure the integrity and consistency of your data! Each row in a table represents an instance of whatever entity that table is defined to hold data for. No Surrogate Key, by definition, can ever perform this function. Only a properly designed natural Key can do this. (If all you have is a surrogate key, you can always add another row with every other attributes exactly identical to an existing row, as long as you give it a different surrogate key value)
Secondly they are there to serve as references (pointers) for the foreign Keys in other tables which are children entities of an entity in the table with the Primary Key. A Natural Key, (especially if it is a composite of multiple attributes) is not a good choice for this function because it would mean tha that A) the foreign keys in all the child tables would also have to be composite keys, making them very wide, and thereby decreasing performance of all constraint operations and of SQL Joins. and B) If the value of the key changed in the main table, you would be required to do cascading updates on every table where the value was represented as a FK.
So the answer is simple... Always (wherever you care about data integrity/consistency) use a natural key and, where necessary, use both! When the natural key is a composite, or long, or not stable enough, add an alternate Surrogate key (as auto-incrementing integer for example) for use as targets of FKs in child tables. But at the risk of losing data consistency of your table, DO NOT remove the natural key from the main table.
To make this crystal clear let's make an example.
Say you have a table with Bank accounts in it... A natural Key might be the Bank Routing Number and the Account Number at the bank. To avoid using this twin composite key in every transaction record in the transactions table you might decide to put an artificially generated surrogate key on the BankAccount table which is just an integer. But you better keep the natural Key! If you didn't, if you did not also have the composite natural key, you could quite easily end up with two rows in the table as follows
id BankRoutingNumber BankAccountNumber BankBalance
1 12345678932154 9876543210123 $123.12
2 12345678932154 9876543210123 ($3,291.62)
Now, which one is right?
To marc from comments below, What good does it do you to be able to "identify the row"?? No good at all, it seems to me, because what we need to be able to identify is which bank account the row represents! Identifying the row is only important for internal database technical functions, like joins in queries, or for FK constraint operations, which, if/when they are necessary, should be using a surrogate key anyway, not the natural key.
You are right in that a poor choice of a natural key, or sometimes even the best available choice of a natural key, may not be truly unique, or guaranteed to prevent duplicates. But any choice is better than no choice, as it will at least prevent duplicate rows for the same values in the attributes chosen as the natural key. These issues can be kept to a minimum by the appropriate choice of key attributes, but sometimees they are unavoidable and must be dealt with. But it is still better to do so than to allow incorrect inaccurate or redundant data into the database.
As to "ease of use" If all you are using the natural key for is to constrain the insertion of duplicate rows, and you are using another, surrogate, key as the target for FK constraints, I do not see any ease of use issues of concern.
Wow, you opened a can of worms with this question. Database purists will tell you never to use surrogate keys (like you have above). On the other hand, surrogate keys can have some tremendous benefits. I use them all the time.
In SQL Server, a surrogate key is typically an auto-increment Identity value that SQL Server generates for you. It has NO relationship to the actual data stored in the table. The opposite of this is a Natural key. An example might be Social Security number. This does have a relationship to the data stored in the table. There are benefits to natural keys, but, IMO, the benefits to using surrogate keys outweigh natural keys.
I noticed in your example, you have a GUID for a primary key. You generally want to stay away from GUIDS as primary keys. The are big, bulky and can often be inserted into your database in a random way, causing major fragmentation.
Randy
The reason that database purists get all up in arms about surrogate keys is because, if used improperly, they can allow data duplication, which is one of the evils that good database design is meant to banish.
For instance, suppose that I had a table of email addresses for a mailing list. I would want them to be unique, right? There's no point in having 2, 3, or n entries of the same email address. If I use email_address as my primary key ( which is a natural key -- it exists as data independently of the database structure you've created ), this will guarantee that I will never have a duplicate email address in my mailing list.
However, if I have a field called id as a surrogate key, then I can have any number of duplicate email addresses. This becomes bad if there are then 10 rows of the same email address, all with conflicting subscription information in other columns. Which one is correct, if any? There's no way to tell! After that point, your data integrity is borked. There's no way to fix the data but to go through the records one by one, asking people what subscription information is really correct, etc.
The reason why non-purists want it is because it makes it easy to use standardized code, because you can rely on refering to a single database row with an integer value. If you had a natural key of, say, the set ( client_id, email, category_id ), the programmer is going to hate coding around this instance! It kind of breaks the encapsulation of class-based coding, because it requires the programmer to have deep knowledge of table structure, and a delete method may have different code for each table. Yuck!
So obviously this example is over-simplified, but it illustrates the point.
Users Table
Using a Guid as a primary key for your Users table is perfect.
LogEntry table
Unless you plan to expose your LogEntry data to an external system or merge it with another database, I would simply use an incrementing int rather than a Guid as the primary key. It's easier to work with and will use slightly less space, which could be significant in a huge log stretching several years.
The primary key is whatever you make it. Whatever you define as the primary key is the primary key. Usually its an integer ID field.
The surrogate key is also this ID field. Its a surrogate for the natural key, which defines uniqueness in terms of your application data.
The idea behind having an integer ID as the primary key (even it doesnt really mean anything) is for indexing purposes. You would then probably define a natural key as a unique constraint on your table. This way you get the best of both worlds. Fast indexing with your ID field and each row still maintains its natural uniqueness.
That said, some people swear by just using a natural key.
There are actually three kinds of keys to talk about. The primary key is what is used to uniquely identify every row in a table. The surrogate key is an artificial key that is created with that property. A natural key is a primary key which is derived from the actual real life data.
In some cases the natural key may be unwieldy so a surrogate key may be created to be used as a foreign key, etc. For example, in a log or diary the PK might be the date, time, and the full text of the entry (if it is possible to add two entries at the exact same time). Obviously it would be a bad idea to use all of that every time that you wanted to identify a row, so you might make a "log id". It might be a sequential number (the most common) or it might be the date plus a sequential number (like 20091222001) or it might be something else. Some natural keys may work well as a primary key though, such as vehicle VIN numbers, student ID numbers (if they are not reused), or in the case of joining tables the PKs of the two tables being joined.
This is just an overview of table key selection. There's a lot to consider, although in most shops you'll find that they go with, "add an identity column to every table and that's our primary key". You then get all of the problems that go with that.
In your case I think that a LogEntryID for your log items seems reasonable. Is the ID an FK to the Users table? If not then I might question having both the ID and the LogEntryID in the same table as they are redundant. If it is, then I would change the name to user_id or something similar.

Do link tables need a meaningless primary key field?

I am working on a couple of link tables and I got to thinking (Danger Will Robinson, Danger) what are the possible structures of a link table and what are their pro's and con's.
I came up with a few possible strictures for the link table:
Traditional 3 column model
id - auto-numbered PRIMARY
table1fk - foreign key
table2fk - foreign key
It's a classic, in most of the books, 'nuff said.
Indexed 3 column model
id - auto-numbered PRIMARY
table1fk - foreign key INDEX ('table1fk')
table2fk - foreign key INDEX ('table2fk')
In my own experience, the fields that you are querying against are not indexed in the traditional model. I have found that indexing the foreign key fields does improve performance as would be expected. Not a major change but a nice optimizing tweak.
Composite key 2 columns ADD PRIMARY KEY ('table1fk' , 'table2fk')
table1fk - foreign key
table2fk - foreign key
With this I use a composite key so that a record from table1 can only be linked to a record on table2 once. Because the key is composite I can add records (1,1), (1,2), (2,2) without any duplication errors.
Any potential problems with the composite key 2 columns option? Is there an indexing issue that this might cause? A performance hit? Anything that would disqualify this as a possible option?
I would use composite key, and no extra meaningless key.
I would not use a ORM system that enforces such rules on my db structure.
For true link tables, they typically do not exist as object entities in my object models. Thus the surrogate key is not ever used. The removable of an item from a collection results in a removal of an item from a link relationship where both foreign keys are known (Person.Siblings.Remove(Sibling) or Person.RemoveSibling(Sibling) which is appropriately translated at the data access layer as usp_Person_RemoveSibling(PersonID, SiblingID)).
As Mike mentioned, if it does become an actual entity in your object model, then it may merit an ID. However, even with addition of temporal factors like effective start and end dates of the relationship and things like that, it's not always clear. For instance, the collection may have an effective date associated at the aggregate level, so the relationship itself may still not become an entity with any exposed properties.
I'd like to add that you might very well need the table indexed both ways on the two foreign key columns.
If this is a true many-to-many join table, then dump unecessary id column (unless your ORM requires one. in that case you've got to decide whether your intellect is going to trump your practicality).
But I find that true join tables are pretty rare. It usually isn't long before I start wanting to put some other data in that table. Because of that I almost always model these join tables as entities from the beginning and stick an id in there.
Having a single column pk can help out alot in disaster recovery situation. So though while correct in theory that you only need the 2 foreign keys. In practice when the shit hits the fan you may want the single column key. I have never been in a situation where i was screwed because I had a single column identifier but I have been in ones where I was screwed because I didn't.
Composite PK and turn off clustering.
I have used composite key to prevent duplicate entry and let the database handle the exception. With a single key, you are rely on the front-end application to check the database for duplicate before adding a new record.
There is something called identifying and non-identifying relationship. With identifying relationships the FK is a part of the PK in the many-to-many table. For example, say we have tables Person, Company and a many-to-many table Employment. In an identifying relationship both fk PersonID and CompanyID are part of the pk, so we can not repeat PersonID, CompanyID combination.
TABLE Employment(PersonID int (PK,FK), CompanyID int (PK,FK))
Now, suppose we want to capture history of employment, so a person can leave a company, work somewhere else and return to the same company later. The relationship is non-identifying here, combination of PersonID, CompanyID can now repeat, so the table would look something like:
TABLE Employment(EmploymentID int (PK), PersonID int (FK), CompanyID int (FK),
FromDate datetime, ToDate datetime)
If you are using an ORM to get to/alter the data, some of them require a single-column primary key (Thank you Tom H for pointing this out) in order to function correctly (I believe Subsonic 2.x was this way, not sure about 3.x).
In my mind, having the primary key doesn't impact performance to any measurable degree, so I usually use it.
If you need to traverse the join table 'in both directions', that is starting with a table1fk or a table2fk key only, you might consider adding a second, reversed, composite index.
ADD KEY ('table2fk', 'table1fk')
The correct answer is:
Primary key is ('table1fk' , 'table2fk')
Another index on ('table2fk' , 'table1fk')
Because:
You don't need an index on table1fk or table2fk alone: the optimiser will use the PK
You'll most likely use the table "both" ways
Adding a surrogate key is only needed because of braindead ORMs
i've used both, the only benefit of using the first model (with uid) is that you can transport the identifier around as a number, whereas in some cases you would have to do some string concatenation with the composite key to transport it around.
i agree that not indexing the foreign keys is a bad idea whichever way you go.
I (almost) always use the additional single-column primary key. This generally makes it easier to build user interfaces, because when a user selects that particular linking entity I can identify with a single integer value rather than having to create and then parse compound identifiers.