I'm working on the database (MySQL) - car dealership. Since the product (car) has a lot of features and unique values (gearbox, model, manufacturer...), I wonder, how to create a well designed database for it.
Should I use:
Table cars
columns -> id, name, manufacturer, model, gearbox...
Or:
Table cars
columns -> id, name, manufacturer_id, gearbox_id...
Table manufacturers
columns -> id, name
Table gearbox
columns -> id, name
There are a lot of unique values as I mentioned and I think it's not good to store them again and again, but if I create a lot of tables + link them with link table to product table (car), there will be a lot of joins when I make a query to get all of the values.
And these are only few of them, there are much more values I need to store for every product in the database.
You have 3 options here:
You could store each car as a separate table and then have a row corresponding to the gearbox, etc. This is awful, no one does it, don't do it.
You could serialize all the gearbox, etc. data as json strings and put them in your car cells. This is also awful, some people have stupidly done this, but not that often. Don't do it.
You could do things the normal, good way and implement separate tables for every class of object with foreign keys linking them. This is the way to go.
Related
I need to create a mySQL database that keeps information about vehicles. My instincts were to create one table with as many columns as I need, but then I read about the problems in doing so. After researching, I think I'm on the right track with the following structure:
Vehicles Database
Motorcycles Table
id|road|cruising|touring|
Cars Table
id|sedan|coupe|hatchback|
Colours Table
id|green|red|blue|black|silver|white|yellow|etc..
Make Table
id|ford|chevrolet|gm|toyota|bmw|etc..
Quadrant Table (1-4)
id|motorcycle|car|truck
So basically I have a table for the objects - cars, motorcycles, trucks - and then tables for the fields/properties - Colour, Make, etc. and then a table for the Quadrant the vehicle is seen in, with a value of 1-4 where each row is an instance of only one vehicle.
The problem I'm having is understanding where the primary and foreign keys need to be in order for me to be able to organize the data:
By each individual vehicle selected along with its fields
By quadrant, showing each vehicle and their respective fields
The user counting cars should be able to input the vehicle type, the field values and the quadrant it's seen in and the db gets populated - and then I need to call the data by quadrant to analyze the data.
I don't know if or how a JOIN statement will be used? How do I go about structuring this database to suit my needs?
FWIW, dba.stackexchange says basic SQL questions belong here, so I hope I'm in the right place.
Can you tell, what is your exact need for the database i.e what functionality you need.
I suggest tables like following:
1) Vehicle table:
id|type which might contain info like 1|Motorcycle, 2|Car
2) category table:
id(foreign key)|category|color which contain info like 1|touring|Black, 2|Car|Hatchback
3) Make table: (if you need to create another table)
id (foreign key to table 1)|Make
I have not understood the functionality of quadrant table but with these 3 table you can create views according to your needs and play around with it.
From my point of view:
I will create a table CarBrands, with columns Id, BrandName, Description, which will serve as a look up.
Then I will create another table Cars with Id, CarBrandId, ColorId (From Colors Table), Description, which is your table with user records.
Same with your other entities. I suggest you search about Entity Relationship Diagrams, a good way of helping you come up with a good design.
Also look at this old StackOverflow question, this will help you.
I had one single table that had lots of problems. I was saving data separated by commas in some fields, and afterwards I wasn't able to search them. Then, after search the web and find a lot of solutions, I decided to separate some tables.
That one table I had, became 5 tables.
First table is called agendamentos_diarios, this is the table that I'm gonna be storing the schedules.
Second Table is the table is called tecnicos, and I'm storing the technicians names. Two fields, id (primary key) and the name (varchar).
Third table is called agendamento_tecnico. This is the table (link) I'm goona store the id of the first and the second table. Thats because there are some schedules that are gonna be attended by one or more technicians.
Forth table is called veiculos (vehicles). The id and the name of the vehicle (two fields).
Fith table is the link between the first and the vehicles table. Same thing. I'm gonna store the schedule id and the vehicle id.
I had an image that can explain better than I'm trying to say.
Am I doing it correctly? Is there a better way of storing data to MySQL?
I agree with #Strawberry about the ids, but normally it is the Hibernate mapping type that do this. If you are not using Hibernate to design your tables you should take the ID out from agendamento_tecnico and agendamento_veiculos. That way you garantee the unicity. If you don't wanna do that create a unique key on the FK fields on thoose tables.
I notice that you separate the vehicles table from your technicians. On your model the same vehicle can be in two different schedules at the same time (which doesn't make sense). It will be better if the vehicle was linked on agendamento_tecnico table which will turn to be agendamento_tecnico_veiculo.
Looking to your table I note (i'm brazilian) that you have a column called "servico" which, means service. Your schedule table is designed to only one service. What about on the same schedule you have more than one service? To solve this you can create a table services and create a m-n relationship with schedule. It will be easier to create some reports and have the services well separated on your database.
There is also a nome_cliente field which means the client for that schedule. It would be better if you have a cliente (client) table and link the schedule with an FK.
As said before, there is no right answer. You have to think about your problem and on the possible growing of it. Model a database properly will avoid lot of headache later.
Better is subjective, there's no right answer.
My natural instinct would be to break that schedule table up even more.
Looks like data about the technician and the client is duplicated.
There again you might have made a decisions to de-normalise for perfectly valid reasons.
Doubt you'll find anyone on here who disagrees with you not having comma separated fields though.
Where you call a halt to the changes is dependant on your circumstances now. Comma separated fields caused you an issue, you got rid of them. So what bit of where you are is causing you an issue now?
looks ok, especially if a first try
one comment: I would name PK/FK (ids) the same in all tables and not using 'id' as name (additionaly we use '#' or '_' as end char of primary / foreighn keys: example technicos.technico_ and agendamento_tecnico has fields agend_tech_ and technico_. But this is not common sense. It makes queries a bit more coplex (because you must fully qualify the fields), but make the databse schema mor readable (you know in the moment wich PK belong to wich FK)
other comment: the two assotiative (i never wrote that word before!) tables, joining technos and agendamento_tecnico have an own ID field, but they do not need that, because the two (primary/unique) keys of the two tables they join, are unique them selfes, so you can use them as PK for this tables like:
CREATE TABLE agendamento_tecnico (
technico_ int not null,
agend_tech_ int not null,
primary key(technico_,agend_tech_)
)
I am beginner in SQL, I have a simple MySQL database which contains two tables:
Players (id, name)
Tournaments (id, name, participants)
I want to save information about participants of every tournament. The first idea that I have is that participants should contain a large number of id fields from the players table but that doesn't seem good.
How should I design this in the correct way?
Make another table called Participants with two fields. Player_ID and Tournament_ID. This table can hold as many lines as it needs to to correlate who played when, and you can cross reference it as needed.
Remove "participants" from the second table and add a third table: TournamentPlayers (playerid, tournamentid).
You should avoid storing multiple values in one field. That would break the first normal form of database design (1NF), which states that only atomic values can be stored in one field. Relational database systems are not well-suited to cope with non-normalized data, and you will have a hard time writing queries for non-1NF tables.
I would guess this is a semi-common question but I can't find it in the list of past questions. I have a set of tables for products which need to share a primary key index. Assume something like the following:
product1_table:
id,
name,
category,
...other fields
product2_table:
id,
name,
category,
...other fields
product_to_category_table:
product_id,
category_id
Clearly it would be useful to have a shared index between the two product tables. Note, the idea of keeping them separate is because they have largely different sets of fields beyond the basics, however they share a common categorization.
UPDATE:
A lot of people have suggested table inheritance (or gen-spec). This is an option I'm aware of but given in other database systems I could share a sequence between tables I was hoping MySQL had a similar solution. I shall assume it doesn't based on the responses. I guess I'll have to go with table inheritance... Thank you all.
It's not really common, no. There is no native way to share a primary key. What I might do in your situation is this:
product_table
id
name
category
general_fields...
product_type1_table:
id
product_id
product_type1_fields...
product_type2_table:
id
product_id
product_type2_fields...
product_to_category_table:
product_id
category_id
That is, there is one master product table that has entries for all products and has the fields that generalize between the types, and type-specified tables with foreign keys into the master product table, which have the type-specific data.
A better design is to put the common columns in one products table, and the special columns in two separate tables. Use the product_id as the primary key in all three tables, but in the two special tables it is, in addition, a foreign key back to the main products table.
This simplifies the basic product search for ids and names by category.
Note, also that your design allows each product to be in one category at most.
It seems you are looking for table inheritance.
You could use a common table product with attributes common to both product1 and product2, plus a type attribute which could be either "product2" or "product1"
Then tables product1 and product2 would have all their specific attributes and a reference to the parent table product.
product:
id,
name,
category,
type
product1_table:
id,
#product_id,
product1_specific_fields
product2_table:
id,
#product_id,
product2_specific_fields
First let me state that I agree with everything that Chaos, Larry and Phil have said.
But if you insist on another way...
There are two reasons for your shared PK. One uniqueness across the two tables and two to complete referential integrity.
I'm not sure exactly what "sequence" features the Auto_increment columns support. It seem like there is a system setting to define the increment by value, but nothing per column.
What I would do in Oracle is just share the same sequence between the two tables. Another technique would be to set a STEP value of 2 in the auto_increment and start one at 1 and the other at 2. Either way, you're generating unique values between them.
You could create a third table that has nothing but the PK Column. This column could also provide the Autonumbering if there's no way of creating a skipping autonumber within one server. Then on each of your data tables you'd add CRUD triggers. An insert into either data table would first initiate an insert into the pseudo index table (and return the ID for use in the local table). Likewise a delete from the local table would initiate a delete from the pseudo index table. Any children tables which need to point to a parent point to this pseudo index table.
Note this will need to be a per row trigger and will slow down crud on these tables. But tables like "product" tend NOT to have a very high rate of DML in the first place. Anyone who complains about the "performance impact" is not considering scale.
Please note, this is provided as a functioning alternative and not my recommendation as the best way
You can't "share" a primary key.
Without knowing all the details, my best advice is to combine the tables into a single product table. Having optional fields that are populated for some products and not others is not necessarily a bad design.
Another option is to have a sort of inheritence model, where you have a single product table, and then two product "subtype" tables, which reference the main product table and have their own specialized set of fields. Querying this model is more painful than a single table IMHO, which is why I see it as the less-desirable option.
Your explanation is a little vague but, from my basic understanding I would be tempted to do this
The product table contains common fields
product
-------
product_id
name
...
the product_extra1 table and the product_extra2 table contain different fields
these tables habe a one to one relationship enforced between product.product_id and
product_extra1.product_id etc. Enforce the one to one relationship by setting the product_id in the Foreign key tables (product_extra1, etc) to be unique using a unique constraint.
you will need to decided on the business rules as to how this data is populated
product_extra1
---------------
product_id
extra_field1
extra_field2
....
product_extra2
---------------
product_id
different_extra_field1
different_extra_field2
....
Based on what you have above the product_category table is an intersecting table (1 to many - many to 1) which would imply that each product can be related to many categories
This can now stay the same.
This is yet another case of gen-spec.
See previous discussion
Say I have a store that sells products that fall under various categories... and each category has associated properties... like a drill bit might have coating, diameter, helix angle, or whatever. The issue is that I'd like the user to be able to edit these properties. If I wasn't interested in having the user change the properties, and I was building the store for a certain set of categories, I'd have one table for drill bits, etc. Alternatively, I could just modify the schema online but that doesn't seem to be done very often (unless we're talking phpmyadmin or something), and plus that doesn't fit in well at all with the way models are coupled to tables.
In general, I'm interested in implementing a multi-table database structure with various datatypes (because diameter might be a decimal, coating would be a string/index into a table, etc), within mysql. Any idea how this might be done?
If I understand correctly what you're asking, an, admittedly hacky, solution would be to have a products table that has to related tables, product_properties and product_properties_lookup (or some better name) where product_properties_lookup has an entry for every possible property a product can have and where product_properties contains the value of a property as a string with the ID of the property and the ID of the product. You could then coerce the property value into whatever type you wanted. Not ideal, but I'm not sure what else to do short of adding individual columns to the DB for property types.
Just use the database. It does all of this already. For free. And fast. How is having a table of products point to a table of properties with data types any different from a table with columns? It's not. Save if you use the DBs tables you get to use SQL to query it in all sorts of neat, and efficient ways compared to your own (crosstabs suck in SQL dbs).
Get a new product, make a new table. No big deal. Get a new property, alter the table. If you have 1M products in that table, yea, it may be a slow update (depends on the DB). Do you have 1M products? I don't think WalMart has 1M products.
Building Databases on top of Databases is a silly thing. Just use the one that's there. It is putty in your hands. Mold it to your whim.
Create a Property table first. This will contain all properties. It should have (at minimum) a Name column and a Type column ('string', 'boolean', 'decimal', etc.). Note: Primary keys are implied for all these tables.
Next, create a CategoryProperty table. Here you will be able to assign properties to a category. It should have these columns: CategoryID, PropertyID. Both foreign keys.
Then, create a Category table. This describes the categories. It should have a Name column and possibly some other columns like Description.
Then, create a ProductCategory table. Here, you will assign the categories for each product. It should have these columns: CategoryID, ProductID. Both foreign keys.
Next, create a PropertyValue table. Here, you will "instantiate" the properties and give them values. Columns include ProductID, PropertyID, and PropertyValue. The primary key can consist of ProductID and PropertyID.
Finally, create a Product table that just describes each product with columns like Name, Price, etc.
Note how for each relationship there is a separate table. If you only want one category for each product, you can do away with the ProductCategory table and just put a CategoryID field in the Product table. Similarly, if you want each property to belong to only one category, you can put a PropertyID column in the Category table and get rid of the CategoryProperty table.
Lastly, you will not be able to verify the data type for each property since each property has a different type (and they are rows, not columns). So just make the PropertyValue column a string and then perform your validation either as a trigger, or in your application, by checking the Type column of the Property table for that property.
If you're using a recentish version of mysql (5.1.5 or greater) you can store your data as XML in the database. You can then query that data using thigns like this.
Suppose I have a table that contains some items and I have a widgetpack that contains numerous
widgets. I can get my total number of widgets:
SELECT SUM( EXTRACTVALUE( infoxml, '/info/widget_count/text()' ) ) as widget_count
WHERE product_type="widgetpack"
assuming the table has an infoxml column and each widgetpacks infxml column contain XML that looks like this
<info>
<widget_count>10</widget_count>
<!-- Any other unstructured info can go in here too -->
</info>
DB purists will cringe at this, and it is kinda hacky. But often its easier to keep all your unstructured data in one place.
Have a look at this database schema on DatabaseAnswers.org:
http://www.databaseanswers.org/data_models/products_and_generic_characteristics/index.htm
Maybe consider an Entity-Attribute-Value (EAV) approach (not for the whole model of course!).
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