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153 points michaelanckaert | 1 comments | | HN request time: 0s | source
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WhatIsDukkha ◴[] No.23485847[source]
I don't understand the attraction to Graphql. (I do understand it if maybe you actually want the things that gRPC or Thrift etc gives you)

It seems like exactly the ORM solution/problem but even more abstract and less under control since it pushes the orm out to browser clients and the frontend devs.

ORM suffer from being at beyond arms length from the query analyzer in the database server.

https://en.wikipedia.org/wiki/Query_optimization

A query optimizer that's been tuned over decades by pretty serious people.

Bad queries, overfetching, sudden performance cliffs everywhere.

Graphql actually adds another query language on top of the normal orm problem. (Maybe the answer is that graphql is so simple by design that it has no dark corners but that seems like a matter of mathematical proof that I haven't seen alluded to).

Why is graphql not going to have exactly this problem as we see people actually start to work seriously with it?

Four or five implementations in javascript, haskell and now go. From what I could see none of them were mentioning query optimization as an aspiration.

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kevan ◴[] No.23485918[source]
Seems like you're looking at this through the lens of a single system that could submit a query to a single database and get all the data it needs. From that perspective GraphQL is definitely an extra layer that probably doesn't make sense. But even then there's still some value in letting the client specify the shape of the the data it needs and having client SDKs (there's definitely non-GraphQL ways to achieve these too).

My impression is GraphQL starts to shine when you have multiple backend systems, probably separated based on your org chart, and the frontend team needs to stitch them together for cohesive UX. The benchmark isn't absolute performance here, it's whether it performs better than the poor mobile app making a dozen separate API calls to different backends to stitch together a view.

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kabes ◴[] No.23485996[source]
That's indeed one of its selling points. But most products I see that adopt graphql are exactly 1 database.
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square_usual ◴[] No.23486897[source]
As GP said:

> But even then there's still some value in letting the client specify the shape of the the data it needs and having client SDKs

It may not exactly "shine" in those cases, but it reduces round trips and makes it easy for fronted engineers to make views that revolve around use cases instead of the resources in the database.

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GordonS ◴[] No.23487839[source]
> it reduces round trips

Is that really a big deal with HTTP2 and pipelining?

I can also imagine situations where it results in a better UX to make multiple small calls, rather than one big one, as you'll have something to render faster.

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lukevp ◴[] No.23488212[source]
If you are round tripping because of data, you’re having to traverse the network to the origin and likely composing your queries with dependent data, so http2 is little benefit. For example, if you are loading a book detail page, and want to also show the author name, but you need to retrieve the detail record to get the author ID first so you can call the author detail endpoint. Graphql solves for this by being able to fetch the book detail and the joined author name with one round trip.
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GordonS ◴[] No.23488293[source]
Sure, I didn't mean multiple requests would always be a net benefit, only that I often come across cases where there is a need to load independent data simultaneously, in which case multiple requests can sometimes provide a better UX.

> Graphql solves for this by being able to fetch the book detail and the joined author name with one round trip

I don't see why we need GraphQL to solve this though - a REST backend could have an endpoint that returns the exact same data.

I can see how GraphQL might be somewhat nice for front end developers when the data to be displayed hasn't been nailed down yet - maybe we decide to show the book's ISBN number, and we can do that without changing the backend. Maybe this justifies the extra complexity for some teams, but I'd personally much prefer the simplicity of a REST API, to which you can always add OData on top if you really want.

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1. virtue3 ◴[] No.23489813[source]
The real benefit of this, is that you can have all this data available, and now the mobile team and the web team can share a query, maybe the webteam wants everything, ithe ISBN the Author, etc. The mobile team only wants the author and title (and will show the rest when you click in, doing the same query or slightly different but with all the fields).

It's the power of the frontend teams to create a rest endpoint out of a schema.

When you combine it with typescript/JVM/Swift, you get AUTO typing for the graphql queries, you know exactly the data model you get back based on your query. It's quite lovely.

The other aspect is that on the apollo/graphql server you can utilize dataloader and streamline a nested request into as few calls to each service as possible.

And the last benefit over a rest service. If you had to make multiple calls, you're doing round trips from the CLIENT to the backend services. The graphql server is _already_ in your backend service network, so all the data combining is on the orders of <10ms versus <100ms (or much worse for mobile).

GraphQL has a major advantage over rest in that you can't just change the schema without the clients breaking, so you know that your API isn't going to magically just screw you. (Most places use versioning for this, but not always). You can get some of this with RPCs but it's not as robust as the graphql schema.