I am trying to work out the best database model for the current setup:
An administrator can create "customer products". This means services/products which customer can attach/subscribe to. The simple cases where the product simply costs a price, or the product subscription should send an e-mail is easy to model in the database.
But how about very specific backend code for a customer product? For example, one product might have very specific code implemented for checking a customer status on a different database. How can I map this relationship in the database so I can turn on/turn off some code based on the product settings.
My intuitive way of handling it would be to have a string column on the CustomerProducts table where a pre-defined set of strings could be set, e.g. "MyCustomCodeHandler", and then the code would check for the existence of this string in order to execute it. But for me it doesn't really feel like a real relationship between the database and code.
Data is data, whereas code is code. I would not recommend storing code in the database.
If you need to allow customers to create product types (in the object-oriented sense of "types") with associated code, I'd choose to deploy that code in the same way you deploy other code.
The custom code may also reference custom data stored in the database. I'd choose to create a dependent table per product subtype, and put the type-specific columns in there. The relationship between this subtype table and the generic product table is one-to-one. That is, the primary key in the subtype table is also a foreign key to the generic product table.
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'm very new to FileMaker currently working on a Mac. I've been assigned a new simple system to work towards completing and I have bumped into some issues with database relationships. I've got experience with PHP/MySQL databases connections etc. but FileMaker seems to require a somewhat different mindset and approach.
I'll try to explain this as simply as I can.
Here's the table relationships in my database
What I'm trying to do is a list of "to-do" notes, an interactive menu where the user can add things that needs to be done. I've done this with a portal on a layout based on the table "site". The portal is based on the table "todo_notes", which is connected to site through the "site_id".
Here's what it looks like in browse mode
What I'm having problems with is adding a relationship between the todo_notes and contacts. The contacts are two separate tables called "county_contacts" and "property_owner_contacts". What I want to accomplish is the possibility for the user to, from a dropdown-list, add a single contact from these two tables. Preferably I'd like to sort of merge these two tables into the same dropdown-list.
Let me know if you need any other information or a better explanation of my issue. Any help is very welcome!
If you have a single contacts table with foreign keys for both county and property owner tables, that would let you have a single list for all contacts. From there you could also build a value list based on a relationship, for example to filter only contacts that belong to either county or property owners.
If you then need to further normalize the tables, fields that pertain to either relationship exclusively could be moved to another table from there, as a one to one relationship, if that is a concern.
The Short Answer
You need to create a Contacts table. Filemaker has no way of dynamically generating value lists. Instead, you can base a value list on any field, therefore, the only way of generating a list of the contact names would be if they were all in the same table.
The Long Answer
Because Filemaker only allows us to use ONE field for a value list, we must create a new table for the contact. I would recommend that you replace the two contact tables with a single contact table,(seeing as the fields look the same between the two tables) and then add a toggle on the contact for Owner or County. However, you could also create a single contact table for all of the fields that overlap that has foreign keys to the owner and county tables.
You would then use the fullname field from the contact and be good to go.
That is, assuming that you did not want to filter the contacts at all or only show contacts associated with this site.
To start with, I highly recommend using the Anchor-buoy method for organizing the relationship graph. Here's an explanation of the anchor-buoy method: http://sixfriedrice.com/wp/six-fried-rice-methodology-part-2-anchor-buoy-and-data-structures/ . It's just a convention, but will help you with the idea of context in FileMaker. It's widely accepted among the FileMaker community as the "right" way to organize a relationship graph. I will continue my explanation using this method.
Each Table Occurrence (the boxes in the graphs, or TO) represents a unique context from which you can view and edit information. In the anchor buoy method, each Table only has one "anchor" TO. I would recommend only using anchor TO's for the context of your layouts. Then, your portal, and any other corresponding information, will be on your buoy TO's. Here is what your new portal relationship would look like. You would select fields from your buoy TO's to use in the portal.
The easiest way to filter your value list by only contacts associated with this site would be to create a foreign key from the contact table to the site, and then add a TO to the graph, for the contact table. You would then click "Include only related values starting from" radio button, and specify your new TO.
I've been thinking about creating a database that, instead of having a table per object I want to represent, would have a series of generic tables that would allow me to represent anything I want and even modifying (that's actually my main interest) the data associated with any kind of object I represent.
As an example, let's say I'm creating a web application that would let people make appointments with hairdressers. What I would usually do is having the following tables in my database :
clients
hairdressers: FK: id of the company the hairdresser works for
companies
appointments: FK: id of the client and the hairdresser for that appointment
But what happens if we deal with scientific hairdressers that want to associate more data to an appointment (e.g. quantity of shampoo used, grams of hair cut, number of scissor's strokes,...) ?
I was thinking instead of that, I could use the following tables:
entity: represents anything I want. PK(entity_id)
group: is an entity (when I create a group, I first create an entity which
id is then referred to by the FK of the group). PK(group_id), FK(entity_id)
entity_group: each group can contain multiple entity (thus also other groups): PK(entity_id, group_id).
role: e.g. Administrator, Client, HairDresser, Company. PK(role_id)
entity_role: each entity can have multiple roles: PK(entity_id, role_id)
metadata: contains the name and type of the metadata aswell as the associated role and a flag that describes if its mandatory or not. PK(metadata_id), FK(metadata_type_id, role_id)
metadata_type: contains information about available metadata types. PK(metadata_type_id)
metadata_value: PK(metadata_value_id), FK(metadata_id)
metadata_: different tables for the different types e.g. char, text, integer, double, datetime, date. PK(metadata__id), FK(metadata_value_id) which contain the actual value of a metadata associated with an entity.
entity_metadata: contains data associated with an entity e.g. name of a client, address of a company,... PK(entity_id, metadata_value_id). Using the type of the metadata, its possible to select the actual value of a metadata for this entity in the corresponding table.
This would allow me to have a completely flexible data structure but has a few drawbacks:
Selecting the metadatas associated with an entity returns multiple rows that I have to process in my code to create the representation of the entity in my code.
Selecting metadatas of multiple entities requires to loop over the same process as above.
Selecting metadatas will also require me to do a select for each one of the metadata_* table that I have.
On the other hand, it has some advantages. For example, instead of having a client table with a lot of fields that will almost never be filled, I just use the exact number of rows that I need.
Is this a good idea at all?
I hope that I've expressed clearly what I'm trying to achieve. I guess that I'm not the first one who wonders how to achieve that but I was not able to find the right keywords to find an answer to that question :/
Thanks!
Consider we have a database that has a table, which is a record of a sale. You sell both products and services, so you also have a product and service table.
Each sale can either be a product or a service, which leaves the options for designing the database to be something like the following:
Add columns for each type, ie. add Service_id and Product_id to Invoice_Row, both columns of which are nullable. If they're both null, it's an ad-hoc charge not relating to anything, but if one of them is satisfied then it is a row relating to that type.
Add a weird string/id based system, for instance: Type_table, Type_id. This would be a string/varchar and integer respectively, the former would contain for example 'Service', and the latter the id within the Service table. This is obviously loose coupling and horrible, but is a way of solving it so long as you're only accessing the DB from code, as such.
Abstract out the concept of "something that is chargeable" for with new tables, of which Product and Service now are an abstraction of, and on the Invoice_Row table you would link to something like ChargeableEntity_id. However, the ChargeableEntity table here would essentially be redundant as it too would need some way to link to an abstract "backend" table, which brings us all the way back around to the same problem.
Which way would you choose, or what are the other alternatives to solving this problem?
What you are essentially asking is how to achieve polymorphism in a relational database. There are many approaches (as you yourself demonstrate) to this problem. One solution is to use "table per class" inheritance. In this setup, there will be a parent table (akin to your "chargeable item") that contains a unique identifier and the fields that are common to both products and services. There will be two child tables, products and goods: Each will contain the unique identifier for that entity and the fields specific to it.
One benefit to this approach over others is you don't end up with one table with many nullable columns that essentially becomes a dumping ground to describe anything ("schema-less").
One downside is as your inheritance hierarchy grows, the number of joins needed to grab all the data for an entity also grows.
I believe it depends on use case(s).
You could put the common columns in one table and put product and service specific columns in its own tables.Here the deal is that you need to join stuff.
Else if you maintain two separate tables, one for Product and another for Sale. You use application logic to determine which table to insert into. And getting all sales will essentially mean , union of getting all products and getting all sale.
I would go for approach 2 personally to avoid joins and inserting into two tables whenever a sale is made.
I asked about Choosing a method to store user profiles the other day and received an interesting response from David Thomas Garcia suggesting I use the Table Module design pattern. It looks like this is probably the direction I want to take. Everything I've turned up with Google seems to be fairly high level discussion, so if anyone could point me in the direction of some examples or give me a better idea of the nuts and bolts involved that would be awesome.
The best reference is "Patterns of Enterprise Application Architecture" by Martin Fowler:
Here's an excerpt from the section on Table Module:
A Table Module organizes domain
logic with one class per table in the
database, and a single instance of a
class contains the various procedures
that will act on the data. The
primary distinction with Domain
Model is that, if you have many
orders, a Domain Model will have one
order object per order while a Table
Module will have one object to handle
all orders.
Table Module would be particularly useful in the flexible database architecture you have described for your user profile data, basically the Entity-Attribute-Value design.
Typically, if you use Domain Model, each row in the underlying table becomes one object instance. Since you are storing user profile information in multiple rows, then you end up having to create many Domain Model objects, whereas what you really want is one object that encapsulates all the user properties.
Instead, the Table Module makes it easier for you to code logic that applies to multiple rows in the underlying database table. If you create a profile for a given user, you'd specify all those properties, and the Table Module class would have the code to translate that into a series of INSERT statements, one row per property.
$table->setUserProfile( $userid, array('firstname'=>'Kevin', 'lastname'=>'Loney') );
Likewise, querying a given user's profile would use the Table Module to map the multiple rows of the query result set to object members.
$hashArray = $table->getUserProfile( $userid );