My point is that SQL works with and returns data as a flat table, which is ill fitting for most websites, which involve many parent-child object relationships. It requires extra queries to fetch one-to-many relationships and postprocessing of the result set to match the parents to the children.
I’m just sad that in the decades that SQL has been around, there hasn’t been anything else to replace it. Most NoSQL databases throw out the good (ACID, transactions, indexes) with the bad.
I really don’t see the issue there, you’re only outputting highly specific data to a website, not dumping half the database.
Do you mean your typical CRUD structure? Like having a User object (AuthId, email, name, phone, …), the user has a Location (Country, zip, street, house number, …), possibly Roles or Permissions, related data and so on?
SQL handles those like a breeze and doesn’t care at all about having to resolve the User object to half a dozen other tables (it’s just a 1…1 relation, on 1…n, but with a foreign key on the user id it’s all indexed anyway). You also don’t just grab all this data, join it and throw it to the website (or rather the enduser API), you map the data to objects again (JSON in the end).
What does it matter there if you fetched the data from a NoSQL document or from a relational database?
The only thing SQL is not good at is if you have constantly changing fields. Then JSON in SQL or NoSQL makes more sense as you work with documents. For example if you offer the option to create user forms and save form entries. The rigid structure of SQL wouldn’t work for a dynamic use-case like that.
My point is that SQL works with and returns data as a flat table, which is ill fitting for most websites, which involve many parent-child object relationships. It requires extra queries to fetch one-to-many relationships and postprocessing of the result set to match the parents to the children.
I’m just sad that in the decades that SQL has been around, there hasn’t been anything else to replace it. Most NoSQL databases throw out the good (ACID, transactions, indexes) with the bad.
I really don’t see the issue there, you’re only outputting highly specific data to a website, not dumping half the database.
Do you mean your typical CRUD structure? Like having a User object (AuthId, email, name, phone, …), the user has a Location (Country, zip, street, house number, …), possibly Roles or Permissions, related data and so on?
SQL handles those like a breeze and doesn’t care at all about having to resolve the User object to half a dozen other tables (it’s just a 1…1 relation, on 1…n, but with a foreign key on the user id it’s all indexed anyway). You also don’t just grab all this data, join it and throw it to the website (or rather the enduser API), you map the data to objects again (JSON in the end).
What does it matter there if you fetched the data from a NoSQL document or from a relational database?
The only thing SQL is not good at is if you have constantly changing fields. Then JSON in SQL or NoSQL makes more sense as you work with documents. For example if you offer the option to create user forms and save form entries. The rigid structure of SQL wouldn’t work for a dynamic use-case like that.