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GraphQL Introduction

facebook.github.io

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Re: GraphQL Introduction

#51

Earlier quoted context omitted.

To prevent the over/under fetching you're describing you could partition your endpoints and make multiple requests. Although, thats definitely a code-maintenance win for GraphQL. It seems like if you were co-executing the client on the server you could trivially achieve perfect fetching. GraphQL may actually over fetch in many situations. Here's an example: the client fetches a list of objects, filters it, and then f…

Yes, that's a tricky problem. Generally GraphQL solves it by filtering on the server. You'd request something like `friends(age: 25, order: dob, first: 10) { name, profilePicture }` and pass that straight through to the UI. There are some situations where this doesn't work to well. For search suggestions, for example, you might not want to request `searchSuggestion(query: "Tom Smi") { }` on every keystroke because se…

I assume Relay performs the diff-outward-query/patch-inward-data thing. Frankly, that's fucking brilliant. I hope the people at Facebook are extremely pleased with themselves. If I understand correctly then once the number of items shown was less than the initial range of requested items, further refinements wouldn't need to make a second request. Relay could detect from the ids of the first request that it had all the data it needed.

HTTP/2 optimizations could just be layered on top of GraphQL post hoc. GraphQL/Relay is likely better for that purpose than a bag of endpoints. You get all the benefits you've mentioned and extremely bearable unoptimized performance. I guess I just needed to tease the two problems apart in my head.

Re: GraphQL Introduction

#52

Earlier quoted context omitted.

Yes, that's a tricky problem. Generally GraphQL solves it by filtering on the server. You'd request something like `friends(age: 25, order: dob, first: 10) { name, profilePicture }` and pass that straight through to the UI. There are some situations where this doesn't work to well. For search suggestions, for example, you might not want to request `searchSuggestion(query: "Tom Smi") { }` on every keystroke because se…

I assume Relay performs the diff-outward-query/patch-inward-data thing. Frankly, that's fucking brilliant. I hope the people at Facebook are extremely pleased with themselves. If I understand correctly then once the number of items shown was less than the initial range of requested items, further refinements wouldn't need to make a second request. Relay could detect from the ids of the first request that it had all t…

Yup, and the same optimization can apply to two different queries requesting different fields on a single object, not just ranges.

GraphQL endpoints don't have to return a single JSON object either, you could hypothetically stream back objects as they become available (Netflix's Falcor seems to be heading in this direction too).

Re: GraphQL Introduction

#53

Earlier quoted context omitted.

I assume Relay performs the diff-outward-query/patch-inward-data thing. Frankly, that's fucking brilliant. I hope the people at Facebook are extremely pleased with themselves. If I understand correctly then once the number of items shown was less than the initial range of requested items, further refinements wouldn't need to make a second request. Relay could detect from the ids of the first request that it had all t…

Yup, and the same optimization can apply to two different queries requesting different fields on a single object, not just ranges. GraphQL endpoints don't have to return a single JSON object either, you could hypothetically stream back objects as they become available (Netflix's Falcor seems to be heading in this direction too).

Ah, so it goes the other way too. Sort of like a request inliner/outliner that can perform dynamic optimizations. The client can inline requests using view-state unknown to the server. Then the server can outline them in whatever desirable way to provide an immediate and eventually complete response. That's clever.
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