Writing (.net) a simple app that logs whether a user has access to a program or not. Cannot figure out the best way to structure the DB/tables.
Interface will have two listboxes with buttons in between to add/remove items. What is the best way to layout the tables for easy querying?
Thanks (not a DB guy obviously!)
I recommend reading up on basic database design principles if you plan to continue working in this area.
https://en.wikipedia.org/wiki/Database_design
http://www.tomjewett.com/dbdesign/dbdesign.php?page=manymany.php
https://msdn.microsoft.com/en-us/library/office/aa200276(v=office.11).aspx
If I understand your question then a table of programs, a table of users, and a "many to many" table where each row contains an id from the user table and an id from the programs table if the user has access should suffice.
Related
Good example will be shopify. Where you have N number of users (in this case each user assume site). And each user will have it's own records in DB. But db schema will be the same (same tables for each user, products, customers, orders etc.).
So question is what will be the best way to organize this kind of solution?
Store everything in one DB but in a different tables, or run separate DB for each user (but then will be question with maintaining, scalability and automatization)
possible solution:
We can use one DB with common tables like products, customers, orders etc. And we will have table users where we store records about each site.
In tables products, customers we will group all records by user_id.
This is one of possible solutions. But if we will have 1000 users (sites), each will have ~2k products, and ~100k customers, we can end up with tables which has millions of records, so questions will be:
how it will perform compare to each user (site) would have it's own DB?
how reliable this approach? bigger data, harder maintain, backup/restore
safety, if something wrong with one source thousands will be affected
Any links etc. will be much appreciated, thanks!
Create a mysql user for each tenant
Add a tenant_id column to each table
Add a view for each table that filters based on tenant_id = mysql_user
Use a trigger to automatically populate the tenant_id column on INSERT
Restrict the tenant mysql users to only access the views, not the raw tables
I wrote up a blog post on how I was able to convert a large single-tenant mysql application to a multi-tenant application in a weekend using this technique.
https://opensource.io/it/mysql-multi-tenant/
I recommend reviewing databases by well-supported open source solutions. With this in mind, here's a pretty simple schema I found real quick that'd explain a good working solution for this with scale-ability in mind.
http://www.zentut.com/sql-tutorial/sql-sample-database/
I have this file Generate_multiTanentMysql.php i do all steps with PHP script
https://github.com/ziedtuihri/SaaS_Application
Solution Design Pattern :
Creating a database user for each tenant
Renaming every table to a different and unique name (e.g. using a prefix ‘someprefix_’)
Adding a text column called ‘id_tenant’ to every table to store the name of the tenant the row belongs to
Creating a trigger for each table to automatically store the current database username to the id_tenant column before inserting a new row
Creating a view for each table with the original table name with all the columns except id_tenant. The view will only return rows where (id_tenant = current_database_username)
Only grant permission to the views (not tables) to each tenant’s database user Then, the only part of the application that needs to change is the database connection logic. When someone connects to the SaaS, the application would need to:
Connect to the database as that tenant-specific username
I am making a web application where users get and manage data from multiple tables as well as create other users to access said data. currently I have it set up for one group of users.
My question is would it be better to have multiple databases in which each database has its own user which is stored in a master table("I don't like the sound of this one") or have a column in each table defining the user group that has access to it? Are either of these a good idea or is something else more appropriate?
You should have a column in each table. In my opinion, its the correct thing to do, and also you have only one database to do mantainance.
Just imagine the time it would take to add a column to a table in the future, and you should do it in multiple databases.
I am a developer and have never worked on DB before (designing a DB). I am designing a database for an employee management system which is a Node.js + Express application using MySQL as its DB.
I already have the required tables, columns sorted out but there are still few unknowns I am dealing with. This is my plan so far and I need your input on it.
The end users using this application will be small - mid size companies. The companies won't be sharing the tables in the database. So if there is a table named EmployeeCases I plan to create a new EmployeeCases table for each existing company or a new one who signs up for this application. I am planning to name the table as EmployeeCases_989809890 , where "989809890" will be the company id (or customer id). So if we have 3-4 companies who signed up for us, then all the tables (at least the ones which a company uses) will be recreated and named as TableName_CompanyId. My questions, is this a good way to go? Is there a better way?
All the employee's data is held by the Employee table, including their login and password. Now each Employee table in DB will be named as Employee_CompanyId (as per my plan above). My question is, when an employee logs in, how will I know which Employee table to query to? Or should I remove the login from the Employee table and create a universal Users table where all the employees will be stored? The Users table will also have the CompanyId as one of its column and I will read the CompanyId from there which will be used to query other tables.
Any reference, website or blogs on this type of design will be appreciated.
Thanks.
I don't recommend this approach, I think you should either:
A) Put all the information in the same tables and have a companyId column to sort them out
OR
B) Have separate databases for each company and use the appropriate database using the code.
The thing is, with your approach, you'll have a hard time maintaining your application if you have multiple copies of the same table with different names. If you decide to add a column to one of the tables, for instance, you will have to write as many SQL scripts as you have table instances. You'll also have a bad time with all of your unique identifiers.
Here are some advantages/disadvantages of each design:
A) Put all the information in the same tables and have a compagnyId column to sort them out
Advantages:
Simplest
Allow usage of foreign key / constraints
Great for cross / client data extraction
Disadvantages:
Not portable (a client can't just leave with his/her data)
Can be perceived as less secure (I guess you can make the case both ways)
More likely to have huge tables
Does not scale very well
B) Have separate databases for each company and use the appropriate database using the code.
Advantages:
Portable
Can be perceived as more secure
Disadvantages:
Needs more discipline to keep track of all the databases
Needs a good segregation of what's part of your HUB (Your application that tracks which client access which database) and that's part of your client's database.
You need a login page by company (or have your clients specify the company in a field)
An example of an application that uses this "two-step login" is Slack, when you sign-in you first enter your team domain THEN your user credentials.
I think Google Apps for Work as the same approach. Also, I think most CRM I worked with has a separate database for their clients.
Lastly, I'd like to direct you to this other question on stackoverflow that links to an interesting example.
You shouldn't split your tables just because companies won't share their information. Instead, you should have a companyId column in each table and access to the relevant data for each query. This should be implemented in your backend
As a general question which would really help me "connect the dots" with my studies.
I am currently doing exercises working with DAO and Learning how to add tables automatically. Although i have been working with databases for many years, i question, what type of scenerarios would it be vantagious to use this function. When is it necessary to add tables to a database in an automatic way? Up until now, in all my experiences the tables i need have Always been defined from the beginning and I cant think of a situation where I could of benefited from using this function. For example, i use frequently delete queries to help me clear tables and re-populate them, but when would it be necessary to actually "create" a new table"?
Yes, I have seen a scenario where new tables were created 'on the fly' (either via SQL create, or just DAO). With a shared database on a server, the application called for importing Excel data that a particular user was responsible for, so a table was created on the fly. Multiple users, changes in staff, need to keep data independent, etc. we could create their own table (name based on userid) that they had interfaces to do whatever they wanted with their own data. Not a typical scenario, but worked well for this application.
I need to create an ERD for our DB system. As it happens, there are lots and lots of tables, and no one really understands much of it. What's more, the same DB has tables for different applications, so not all tables are relevant to my application. I need an ERD for only my application's tables.
I tried creating ERD from MySQL workbench. It allows me to select a subset of the tables to put on an ERD, but that's the problem: I don't know which tables to select ( One of the reasons to build the diagram in the first place :-) ).
What I do know are some of the 'main' tables involved. What I'm looking for is this: I tell the tool some 5-10 of these main tables I'm interested in, and the tool automatically picks up all the tables that are linked to these tables, and creates the ERD for them.
Any pointers?
Otherwise, I'll have to live with building my list of tables manaully, one by one...
http://www.fabforce.net/ has a nice tool called DBDesigner, I have used this in the past for some reverse engineering on a datamodel.