I have three tables: Resumes, Orgs, and Resume2Org. Basically, Resume2Org is my many-to-many relationship table linking Resumes.resume_id to Orgs.org_id (so it only has those two keys in that table).
My question is, is it okay to use that many-to-many relationship table to store other data? My use case: the database is part of a system to sift through incoming resumes. But I've been asked to implement a "marked as read" feature so we can easily get the list of resumes we haven't looked at yet. But since a resume can belong to many different orgs, we only want to mark a resume as read for the org the user/viewer belongs to. I thought, hey, having that flag in Resume2Org would be perfect. Is this a smart approach, or should I create a new table specifically for "marked as read"? All the examples I've seen about many-to-many relationship tables is that those tables are used just for that... linking two tables.
Yes it is okey to have additional fields in a many-to-many table. I think it is the right way to do in your case as you don't need to join additional tables and you save spaces.
I was in a very similar situation last week and I added additional field for that.
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I was studying about relationships in RDBMS.I have understood the basic concept behind mapping relation ship,but I am not able to spot them.
The three possibilities :
one to many(Most common) requires a PK - FK relationsip.Two tables involved
many to many(less common) requires a junction table.Three tables Involved
one to one(very rare). One table involved.
When I begin a project,I am not able to separate the first two conditions and I am not clear in my head.
Examples when I study help for a brief moment,but not when I need to put these principles in to practice.
This is the place where most begineers falter.
How can I spot these relationships.Is there a simpler way?
Don't look at relationships from a technical perspective. Use analogies and real-life examples when trying to envision relationships in your head.
For example, let's say we have a library database.
A library must have books.
M:M
Each Book may have been written by multiple Authors and each Author may have written multiple Books. Thus it is a many-to-many relationship which will reflect into 3 tables in the database.
1:M
Each Book must also have a Publisher, but a Book may only have one Publisher and a Publisher can publish many Books. Thus it is a one-to-many relationship and it reflects with the PublisherId being referenced in the Books table.
A simple analogy like this one explains relationships to their core. When you try to look at them through a technical lens you're only making it harder on yourself. What's actually difficult is applying real world data scenarios when constructing your database.
I think the reason you are not getting the answers that you need is because of the way you are framing the question. Instead of asking “How do I spot the correct type of relationship between entities”, think about “How do my functional needs dictate what relationship to implement”. Database design doesn’t drive the function; it’s the functional needs that drive the relationships you need to implement.
When designing a database structure, you need to identify all the entities. Entities are all the facts that you want to store: lists of things like book titles, invoices, countries, dog species, etc. Then to identify your relationships, you have to consider the types of questions you will want to ask your database. It takes a bit of forward thinking sometimes… just because nobody is asking the question now doesn’t mean that it might not ever be asked. So you can’t ask the universe “what is the relationship between these lists of facts?” because there is no definitive answer. You define the universe… I only want to know answers to these types of questions; therefore I need to use this type of relationship.
Let’s examine an example relation between two common entities: a table of customers and a table of store locations. There is no “correct” way to relate these entities without first defining what you need to know about them. Let’s say you work for a retailer and you want to give a customer a default store designation so they can see products on the website that their local store has in stock. This only requires a one-to-many relationship between a store and the customer. Designing the relationship this way ensures that one store can have many customers as their default and each customer can only have one default store. To implement this relationship is as easy as adding a DefaultStore field to your Customer table as a foreign key that links to the primary key of the Store table.
The same two entities above might have alternate requirements for the relationship definition in a different context. Let’s say that I need to be able to give the customer the opportunity to select a list of favorite stores so that they can query about in stock information about all of them at once. This requires a many-to-many relationship because you want one customer to be able to relate to many stores and each store can also relate to many customers. To implement a many-to-many relationship requires a little more overhead because you will have to create a separate table to define the relationship links, but you get this additional functionality. You might call your relationship table something like CustomerStoreFavorites and would have as its primary key as the combined primary keys from each of the entities: (CustomerID, StoreID). You could also add attributes to the relationship, like possibly a LastOrderDate field to specify the last date that the customer ordered something from a particular store.
You could technically define both types of relationships for the same two entities. As an example: maybe you need to give the customer the option to select a default store, but you also need to be able to record the last date that a customer ordered something from a particular store. You could implement the DefaultStore field on the Customer table with the foreign key to the Store table and also create a relationship table to track all the stores that a customer has ordered from.
If you had some weird situation where every customer had their own store, then you wouldn’t even need to create two tables for your entities because you can fit all the attributes for both the customer and the store into one table.
In short, the way you determine which type of relationship to implement is to ask yourself what questions you will need to ask the database. The way you design it will restrict the relational data you can collect as well as the queries you can ask. If I design a one-to-many relationship from the store to the customer, I won’t be able to ask questions about all the stores that each customer has ordered from unless I can get to that information though other relationships. For example, I could create an entity called "purchases" which has a one-to-many relationship to the customer and store. If each purchase is defined to relate to one customer and one store, now I can query “what stores has this customer ordered from?” In fact with this structure I am able to capture and report on a much richer source of information about all of the customer's purchases at any store. So you also need to consider the context of all the other relationships in your database to decide which relationship to implement between two particular entities.
There is no magic formula, so it just takes practice, experience, and a little creativity. ER Diagrams are a great way to get your design out of your head and onto paper so that you can analyze your design and ensure that you can get the right types of questions answered. There are also a lot of books and resources to learn about database architecture. One good book I learned a lot from was “Database System Concepts” by Abraham Silberschatz and Henry Korth.
Say you have two tables A and B. Consider an entry from A and think of how many entries from B it could possibly be related with at most: only one, or more? Then consider an entry from B and think of how many entries in A it could be related with.
Some examples:
Table A: Mothers, Table B: Children. Each child has only one mother but a mother may have one or more children. Mothers and Children have a one-to-many relationship.
Table A: Doctors, Table B: Patients. Each patient may be visiting one or more doctors and each doctor treats one or more patients. So they have a many-to-many relationship.
An example of one to one:
LicencePlate to Vehicle. One licence plate belongs to one vehicle and one vehicle has one licence plate.
I am designing a database for student information. I wish to implement the best practices regarding separate tables and use of Primary and Foreign Keys.
Let's say I have the following tables (High Level):
Users
Student Information
Student Transcripts
Student Records
There will be different users with different levels. Also, the information in Student Info/Transcripts/Records will all have a Foreign Key with the ID that's in Users.
SO, it would be dumb to just clump all the tables into one big table, wouldn't it? Is it a good idea to keep all this information separate and just use Primary/Foreign keys to link things together, as well as maybe Joins? I just personally think a big table would be quite messy and through this way, it allows one to keep similar data together with its own kind.
Thanks for all input on the matter!
I want to know in what situations we create many to many relation. What is the need of doing such?
A quick search goes a long way. Though the following is for MS Access, the concept is the same for any relational database.
Via: office.microsoft.com - Create a many-to-many relationship:
You have a many-to-many relationship when a single record in one table
can relate to many records in another, and a single record in that
second table can also relate to many records in the first. For
example, say your company has several types of computers and several
technicians, with each technician certified to work on some, but not
all, of the computers. Each technician can be related to more than one
computer, and in turn, each computer can be related to more than one
technician.
To track who can work on a given machine, you create a many-to-many
relationship by adding the primary keys from both sides of the
relationship to a third table, called a junction or link table. In
other words, a many-to-many relationship is really just a pair of
one-to-many relationships.
I have the following tables created:
Animes(id,title,date), Comics(id,title,date), TVSeries(id,title,season,episode,date)
Some of them have already foreign keys (for one-to-many or many-to-many relations) of directors, genres, articles and so on.
Now i would like to create two more tables Reviews(id,rating,date) and Posts(id,thumbid,articleid,reviewid).
A review is about one Anime and/or Comic TVSerie and vise-versa but properties of a review may be in more than one table. Its the same about a posts.
Is this a typical example of one-to-one relation in separate table or is it more efficient to add more properties to the existing tables?
So more tables and relations or less tables more columns?
Thank you and i hope my question isnt that stupid but im a bit confused.
In my view, It is better to avoid foreign key relationship for one-to-one relationship. It is best suitable for one - many relationships.
I'm not exactly sure what your requirements are, but the choices are as follows:
Have Reviews have 2 columns, either being a foreign key to the applicable table, can be NULL. This is really for when a single review can be about both.
Have a ReviewsComics and ReviewsAnime table. You'd then have all the fields from Reviews in each table (and no Reviews table).
An alternative (2) is to use them in conjunction with a Reviews table, then those 2 tables only has 2 fields which are foreign keys to Reviews and Comics/Anime respectively (thus no direct link between Reviews and Comics/Anime).
Have a base table to which Anime and Comics are linked to 1-to-1 and have reviews link to that table instead.
(Edit) If all the fields are all going to be the same (or similar) for Anime/Comics, you can merge them into a single table and add a type field, indicating Anime/Comics, then the problem goes away. This is similar to the base table option.
EDIT: The 2 reviews tables will probably give the best performance (unless you want to select all reviews for either, often), but with proper indices the performance shouldn't be an issue with any of the above.
I am constructing a database System using Mysql, this will be an application of about 20 tables. The system contains information on farmers, we work with organic certification and need to record a lot of info for that.
In my system, there are related parent-child tables for farmers, producing years and fields/areas - it's a simple representation of the real world in which farmers farm crops on their fields.
I now need to add several status flags for each one of these levels: a farmer can be certified, or his field can be, or the specific year can be; each of these flags has several states and can occur a number of times.
The obvious solution to this would be to add a child table to every one of these tables, and define the states there.
What I wonder if there is an easier way to do this to avoid getting to many tables? Where/how would be best practise to keep that data?
What about an indicator on every table that contains data that may or may not be certified? It's easier than adding new tables.
Or, if "certification" is actually a combination of several pieces/fields of data, then have a single "certification" table, and the other tables can reference it through a foreign key (something like "certification_id", which is the key of the "certification" table).