I started building a database to manage things like vehicles, finances, bills, work history, residence history....etc.
I'm mostly doing this as a learning exercise to teach myself different methods of schema design and ground up development. I've been a database developer for 4 years, but I've only ever worked on the same system/schema. Even my ground up development of new features still have to abide by the existing Schema.
Anyways, I have tables for things like Vehicle Registration, Vehicle Loans/Purchases, Bills, etc. But rather than storing their billing info (payment amount, occurrence, etc), I thought maybe I could put a GUID column on every table, and then store the billing info by the GUID, and then have some sort of view or function that lets me look up the object_id (table) for a particular GUID.
Is this design method a good way to do things?
How would I go about designing the function/view to return the objectid / tablename for specific GUID's?
EDIT: I guess this is a poor explanation, so here's a quick example:
Table: VehicleRegistration
This table would have information like license plate, when the registration is good for, etc.
Table: VehicleLoan
This table would have loan information about each vehicle (amount financed, term, apr, date of purchase, etc).
Both of those tables would also have information like Billing Date, Occurence, Estimated Amount, etc. But instead of storing that data in the two tables, I would store it in another table called BillingInfo or something like that. Obviously I could add a FK on the two tables that point to the PK on the BillingInfo table. But that would mean every table that requires billing information would require that FK on it. Rather than creating that FK on every table...what if instead, every row in VehicleRegistration and VehicleLoan had a unique ID. And I would store the billing info by unique ID instead.
And since it's unque across tables, I would have a function or view to tell me which table that GUID is in. (keep in mind, this is a very small personal database, so for now, speed and optimization is not a concern).
If I applied this method to all common info, like billing information, then I could avoid having to put a FK on every table that needs it. I could just create the table and use the Unique ID's instead?
Related
I'm creating a rather large APEX application which allows managers to go in and record statistics for associates in the company. Currently we have a database in oracle with data from AD which hold all the associates information. Name, Manager, Employee ID, etc.
Now I'm responsible for creating and modeling a table that will house all their stats for each employee. The table I have created has over 90+ columns in it. Some contain data such as:
Documents Processed
Calls Received
Amount of Doc 1 Processed
Amount of Doc 2 Processed
and the list goes on for well over 90 attributes. So here is my question:
When creating this table in my application with so many different columns how would I go about choosing a primary key that's appropriate? Should I link it to our employee table using the employees identification which is unique (each have a associate number)?
Secondly, how can I create these tables (and possibly form) to allow me to associate the statistic I am entering for an individual to the actual individual?
I have ordered two books from amazon on data modeling since I am new to APEX and DBA design. Not a fresh chicken, but new enough to need some guidance. An additional problem I am running into is that each form can have only 60 fields to it. So I had thought about creating tables for different functions out of my 90+ I have.
Thanks
4.2 allows for 200 items per page.
oracle apex component limits
A couple of questions come to mind:
Are you sure that the employee Ids are not recyclable? If these ids are unique and not recycled.. you've found yourself a good primary key.
What do you plan on doing when you decide to add a new metric? Seems like you might have to add a new column to your rather large and likely not normalized table.
I'd recommend a vertical table for your metrics.. you can use oracle's pivot function to make your data appear more like a horizontal table.
If you went this route you would store your employee Id in one column, your metric key in another, and value...
I'd recommend that you create a metric table consisting of a primary key, a metric label, an active indicator, creation timestamp, creation user id, modified timestamp, modified user id.
This metric table will allow you to add new metrics, change the name of the metric, deactivate a metric, and determine who changed what and when.
This would be a much more flexible approach in my opinion. You may also want to think about audit logs.
I've run into a bit of a pickle during my development of a web application. I've boiled down the complexity of the application for sake of simplicity in this question.
The purpose of this web application is to sell insurance. Insurance can be purchased through an agent (Agency) or over the phone directly (Customer). Insurance policies can be paid through the agency or the customer can pay for the policy directly. So money is owed (invoiced) and received (payments) from multiple sources (Agencies/Customers).
Billing Options:
Agency (Agency collects from customer outside of app)
Customer
Here's where it gets complicated. Agencies are stored in a separate database table than customers (for obvious reasons). However, both agencies and customers need to be able to make payments and have invoices assigned to them. I'm having difficulty figuring out how to create the proper database schema to allow for both types of database records to be connected to their invoices and payments.
My initial plan was to set up separate relationship (joining) tables that link the agencies and customers to invoices/payments.
However, now that I've been thinking about the problem more, I think it might be beneficial to merge both agencies and customers into a single "Payee" table which would then be associated with payments/invoices. The payee table would only store a primary key. It would not contain actual names or info for the payee - instead I would pull that data via a JOIN with either the agencies or customers tables.
Regardless of whatever solution I choose I am still faced with the problem when creating a new payment record is that I need to scan both the agencies and customers table for possible payees. I'm wondering if there's a proper way to approach this from a database schema standpoint (or from an accounting/e-commerce standpoint).
What is the correct way to handle this type of situation? All ideas and possible solutions are most welcome!
Update 01:
After a few helpful suggestions (see below) I've come up with a possible solution that may solve this issue while keeping the data normalized.
The one thing about this method that rubs me the wrong way is that I will have to make multiple table selects to get a list of all the people who can potentially make payments and/or have invoices assigned to them.
Perhaps this is unavoidable though in this situation since indeed there are different "types" of people that can be associated with payments and invoices. I'm stuck with a situation where I have two different types of records that need to be associated to the same thing. In the above approach I'm using the FKs to link each table (Agencies/Customers) to a Payee record (the table that unifies both Agencies/Customers) and then ultimately links them to Payments and Invoices.
Is this the proper solution? Or is there something I've overlooked?
There are several options:
You might put this like you'd do it with OOP programming and inheritance.
There is one table Person which holds an uniqueID and a type (Agency, Customer, more in Future). Additionally you might add columns with meta-data like who inserted/when/why and columns for status/soft-delete/???
There are two tables Agency and Customer, both holding a PersonID as FK.
Your Payee is the Person
You might use a schema-bound VIEW with a UNION ALL to return both tables of your modell in one result. A unique index on this view should ensure, that you'll have a unique key, at least as combination of the table-source and the ID there.
You might use a middle table with the table-source and the ID there as unique Key and use this two-column-id in you payment process
For sure there are several more...
My best friend was the first option...
My suggestion would be: instead of Payees table - to have two linking tables:
PayeeInvoices {
Id, --PK
PayeeId,
PayeeType,
InvoiceId --FK to Invoices tabse
}
and
PayeePayments {
Id, --PK
PayeeId,
PayeeType,
PaymentId --FK to Payments table.
}.
PayeeType is an option of two: Customer or Agency. When creating a new payment record you can query PayeeInvoices by InvoiceId to get PayeeType and corresponding PayeeId, and then lookup the rest of the data in corresponding tables.
EDIT:
Having second thoughts now. Instead of two extra tables PayeeInvoices and PayeePayments, you can just have PayeeId and PayeeType columns right in Invocies and Payments tables, assuming that Invoice or Payment belongs only to one Payee (Customer or Agency). Both my solutions are not really normalized, though.
I'm creating this little Access DB, for the HR department to store all data related to all the training sessions that the company organizes for all the employees.
So, I have a Training Session table with information like date, subject, place, observations, trainer, etc, and the unique ID number.
Then there's the Personnel table, with employer ID (which is also the unique table number), names and working department.
So, after that I need another table that keeps a record of all the attendants of each training session. And here's the question, should I use a table for that in the first place? Does it have to be one table for each training session to store the attendants?
I've used excel for quite some time now, but I'm very new to Access and databases (even small ones like this). Any information will be highly appreciated.
Thanks in advance!
It should be one table for persons, one table for trainings, and one for participation/attendance, to minimize (or best: avoid) repetition. Your tables should use primary and foreign keys, so that there are one-to-many relationships between trainings and attendances as well as people and attendances (the attendances table would then have a column referring to the person who attended, and another column referring to the training session).
Google "database normalization" for more detail and variations of that principle (https://en.wikipedia.org/wiki/Database_normalization).
I would like to establish a many-to-many relationship with a constraint that only one or no entity from each side of the relationship can be linked at any one time.
A good analogy to the problem is cars and parking garage spaces. There are many cars and many spaces. A space can contain one car or be empty; a car can only be in one space at a time, or no space (not parked).
We have a Cars table and a Spaces table (and possibly a linking table). Each row in the cars table represents a unique instance of a car (with license, owner, model, etc.) and each row in the Spaces table represents a unique parking space (with address of garage floor level, row and number). What is the best way to link these tables in the database and enforce the constraint describe above?
(I am using C#, NHibernate and Oracle.)
If you're not worried about history - ie only worried about "now", do this:
create table parking (
car_id references car,
space_id references space,
unique car_id,
unique space_id
);
By making both car and space references unique, you restrict each side to a maximum of one link - ie a car can be parked in at most one space, and a space can has at most one car parked in it.
in any relational database, many to many relationships must have a join table to represent the combinations. As provided in the answer (but without much of the theoretical background), you cannot represent a many to many relationship without having a table in the middle to store all the combinations.
It was also mentioned in the solution that it only solves your problem if you don't need history. Trust me when I tell you that real world applications almost always need to represent historical data. There are many ways to do this, but a simple method might be to create what's called a ternary relationship with an additional table. You could, in theory, create a "time" table that also links its primary key (say a distinct timestamp) with the inherited keys of the other two source tables. this would enable you to prevent errors where two cars are located in the same parking spot during the same time. using a time table can allow you the ability to re-use the same time data for multiple parking spots using a simple integer id.
So, your data tables might look like so
table car
car_id (integers/numbers are fastest to index)
...
table parking-space
space_id
location
table timeslot
time_id integer
begin_datetime (don't use seconds unless you must!)
end_time (don't use seconds unless you must!)
now, here's where it gets fun. You add the middle table with a composite primary key that is made up of car.car_id + parking_space.space_id + time_id. There are other things you could add to optimize here, but you get the idea, I hope.
table reservation
car_id PK
parking_space_id PK
time_id PK (it's an integer - just try to keep it as highly granular as possible - 30 minute increments or something - if you allow this to include seconds / milliseconds /etc the advantages are cancelled out because you can't re-use the same value from the time table)
(this would also be the place to store variable rates, discounts, etc distinct to this particular account, reservation, etc).
now, you can reduce the amount of data because you aren't replicating the timestamp in the join table (reservation). By using an integer, you can re-use that timeslot for multiple parking spaces, but you could also apply a constraint preventing two cars from renting that given spot for the same "timeslot" for a given day / timeframe. This would also make it easier to store some history about the customers - who knows, you might want to see reports on customers who rent more often and offer them discounts or something.
By using the ternary relationship model, you are making each spot unique to a given timeslot (perhaps with some added validation rules), so the system can only store one car in one parking spot for one given time period.
By using integers as keys instead of timestamps, you are assured that the database won't need to do any heavy lifting to index the keys and sort / query against. This is a common practice in data warehousing / OLAP reporting when you have massive datasets and you need efficiency. I think it applies here as well.
create a third table.
parking
--------
car_id
space_id
start_dt
end_dt
for the constraint, i guess the problem with your situation is that you need to check a complex rule against the intersection table itself. if you try this in a trigger, it will report a mutation.
one way to avoid this would be to replicate the table, and query against this replication for the constraint.
I'm trying to work out a sensible approach for designing a database where I need to store a wide range of continuously changing information about pets. The categories of data can be broken down into, for example, behaviour, illness etc. Data will be submitted on a regular basis relating to these categories, so i need to find a good way to design the db to efficiently accommodate this. A simple approach would just to store multiple records for each pet within each relevant table - e.g the behaviour table would store the behaviour data and would simply have a timestamp for each record along with the identifier for that pet. When querying the db, it would be straightforward to query the one table with the pet id, using the timestamps to output the correct history of submissions. Is there a more sensible way around this or does that make sense?
I would use a combination of lookup tables with a strong use of foreign keys. I think what you are suggesting is very common. For example, get me all the reported illnesses for a particluar pet during this data range would look something like:
Select *
from table_illness
where table_illness.pet_id = <value>
and date between table_illness.start_date and table_illness.finish_date
You could do that for any of the tables. The lookup tables will be a link between, for example, table_illness.illness_type and illness_types.illness_type. The illness_types table is where you would store the details on the types of illnesses.
When designing a database you should build your tables to mimic real-life objects or concepts. So in that sense the design you suggest makes sense. Each pet should have its own record in a pet table which doesn't change. Changing information should then be placed into the appropriate table which has the pet's id. The time stamp method you suggest is probably what I would do -- unless of course this is for a vet or something. Then I'd create an appointment table with the date and connect the illness or behavior to the appointment as well.