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Recently I learned about GraphQL which claims to be superior to RESTful. However, I started wondering why don't we simply put SQL statements into an HTTP GET request.

For example, in GraphQL I would write

{

  Movie(id: "cixos5gtq0ogi0126tvekxo27") {

    id

    title

    actors {

      name

    }

  }

}

Which isn't much simpler than its SQL counterpart

SELECT id, title FROM movies WHERE id = cixos5gtq0ogi0126tvekxo27;

SELECT actors.name FROM actors, actors_movies WHERE actors.id == movies.actor_id AND movie.id == cixos5gtq0ogi0126tvekxo27;

Maybe we can URL-encode the query and send to the server

GET endpoint?q=SELECT%20id%2C%20title%20FROM%20movies%20WHERE%20id%20%3D%20cixos5gtq0ogi0126tvekxo27%3B%0ASELECT%20actors.name%20FROM%20actors%2C%20actors_movies%20WHERE%20actors.id%20%3D%3D%20movies.actor_id%20AND%20movie.id%20%3D%3D%20cixos5gtq0ogi0126tvekxo27%3B HTTP/1.1

Yes, the query URL can be too long, but you can put it into the body of a POST request if you don't care about REST compliance. (By the way, I think the HTTP RFC need be revised for REST to make sense: capping the length of query strings mixes implementation with specification at the very beginning)

Directly issuing SQL from the client also has the advantage of

1. No server-side code/library is required to parse GraphQL, reducing development time.


2. No server-side overhead is needed to parse GraphQL, reducing runtime.


3. SQL statements are much more flexible than GraphQL because (in most cases) the latter will reduce to SQL anyway.


4. Everyone knows SQL.

So, what the advantages GraphQL have over SQL?

Basically, abstraction.

SQL requires your clients to know your exact database structure, which is not good. On top of that, analysing the SQL in order to perform special operations based on the value sent as the input is a really difficult thing to do. There are entire softwares which are pretty much responsible only for that. Do you know what those are? If you have guessed the databases, you are right.

Thanks to not exposing the SQL directly, you are not limiting the consumer of the API to the internal representation of your database. You easily expose only what you want to expose.

And since clients of the API depend only on the abstraction, you are free to have as many layers as possible between the API input and the actual database (security, caching, loading data from multiple databases on a single request,...).

For public services, exposing a database directly is pretty much never the right approach. If you however have a few internal systems, sure, your approach might make sense but even then it might just be easier to connect to application A's database directly from Application B by giving the database credentials to the Application B, rather than trying to come up with a custom HTTP interface for the database SQL language.

Why can't I just compare the URL (or SQL query) against keys in Redis
before performing the actual query on the RDBMS?

Because it's not easy. Even if someone uses a very simple query, such as:

SELECT st.id, jt.name

FROM some_table st

INNER JOIN join_table jt ON jt.some_table_id = st.id

WHERE st.name = 'hello

world' AND st.type = 'STANDARD'

how do you make sure the result is properly cached? This query includes newlines, but someone could just as well write the query in the following way:

SELECT st.id, jt.name FROM some_table st INNER JOIN join_table jt ON jt.some_table_id = st.id WHERE st.name = 'hello

world' AND st.type = 'STANDARD'

and it's still supposed to be cached in the same way as the one above. I have specifically included a where in which a string search contains a new line, so simply finding line endings and replacing them with a space is not going to work here, parsing the request correctly would be much more complicated.

And even if you do fix that, another query could switch the order of conditions and the query would look like this:

SELECT st.id, jt.name

FROM some_table st

INNER JOIN join_table jt ON jt.some_table_id = st.id

WHERE st.type = 'STANDARD' AND st.name = 'hello

world'

and another request could contain a redundant WHERE argument, like this:

SELECT st.id, jt.name

FROM some_table st

INNER JOIN join_table jt ON jt.some_table_id = st.id

WHERE st.type = 'STANDARD' AND st.name = 'hello

world' AND st.stype = 'STANDARD'

All of those queries are still supposed to return the same result, should be cached in the same way. But handling all of the possible options is pretty much impossible. That's why you cannot simply compare the URL against keys in Redis.

In theory there is no reason you can't expose an SQL interface like this.

In practice SQL is far too powerful to be effectively limited to the security scope you want to expose.

Even if you allow only read access, a bad query can still hog resources.

Other languages such as graphQL are designed to be exposed. They are merely giving users a filter option on what they could already see.

The benefit of using these languages is that they have gone through all the things you would want to stop users doing in SQL and taken them off the table.

if you want expose SQL like GraphQL, you will could need something like GraphQL, because you will need hide the important information and select what you want to show in the API, this for security.

GraphQl and SQL are different things, SQL is the language to query DataBase and GraphQL is only to manage the data from API,in API you will need make yours schemas to show and querys to manage it, etc.

in any API you will need make those things for simply security, but if you want something that is free data access maybe it would work, you know so many alternatives in the software world

As others have mentioned, exposing SQL directly in the api is a very bad option. GraphQL, despite it's name, is not an abstraction for SQL, but for any data store or even other services.

If you are looking for an abstraction that is closer to SQL, you might want to have a look at odata (if you happen to work in .NET backends, though maybe other implementations exist).