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Each of these APIs are advancing to solve this, however GraphQL and ORDS don’t tell you scale and precision of data, whereas OData does. I think the benefits of HTTP caching are often exaggerated, especially for APIs and single page applications. poor interoperability Java/Scala). An additional benefit is that it can make thinks like halting and resuming downloads and similar easier. Too concise. What it was like to watch Godzilla vs. Kong in a movie theater 6 recurring thoughts I had while streaming Godzilla vs. Kong at home ‘Nobody’ has big John Wick vibes, but with a dad bod Imaging what that would look like with Orgs, Groups, and User permissions all existing on a single object, or even resource type, and how a single email (user) could have permissions at all of these levels on any object. Many APIs don't bound the number of error messages that are returned, so you can query for a huge number of fields that aren't in the schema, and then each of those will translate to an error message in the response. You can, of course, do the thing that JS requires you always do and put an ISO8601 date in a string. It's been a while since I worked on GRPC with Scala. Rate limiting and security are trivial these days, with an abundance of directive libs available, ready to use out of the box, and every major third party auth provider boasting ease of use with common GraphQL patterns. On the GraphQL side you can use gqless[0] (or the improved fork I helped sponsor, here[1]). I'd argue what you see as the biggest con is actually a strength now. It's a shame - the client generation would have been a nice feature to get for free. It's fine at medium and large scale, too, as long as the service doesn't change its API very much, and/or it doesn't have too many consumers. I credit HN for giving me a balanced insight on things and indirect feedback on what's important to learn in order to make myself marketable when I graduate. The problem with Timestamp is it should not have used variable-length integers for its fields. Depends on the implementation. Indeed having no API at all would further reduce the challenge! Come for the content, stay for the comments. When you couple that stack with fast-json-patch [4] on the client you just do a simple deep compare between a modified object and a cloned one to construct a patch doc . The overhead of GraphQL doesn't make it worth using at that scale. Under API versioning/maintenance, you would think a “No” is bad, but it’s actually good. For example, they place a high premium on minimizing breaking changes, which means that the Java edition, which has been around for a long time, continues to have a very Java 7 feel to it. JSON:API, for example, specifies how to request fields on related objects with a syntax like `/articles/1?include=author,comments.author`, which is comparable to the extensibility you get by default in GraphQL. I guess the big advantage is that when you write a manual query you can still pull down more data than you need by accident. Scala, Swift, Rust, C, etc. Also, there are a lot of OData clients that can help you get up and running with the OData service quickly and easily. I think for people who didnt try GRPC yet, this is for me the winner feature: Code generation and strong contracts are good (and C#/Java developers have been doing this forever with SOAP/XML), but they do place some serious restrictions on flexibility. > JSON objects are large and field names are repetitive. i think they are talking about how it is very standard for gRPC systems to generate server and client code that make it very easy to use. - Request prioritization andrewingram 1 hour ago. Running a small query on thousands of requests is slower, but you can display the first little one's result to the user faster than a big gql payload,. But they are not exactly mainstream out there. > unless you have Google's size microservices and infrastructure gRPC (with protocol buffers) is just tedious. 40% of Amazon. [2]: https://github.com/grpc/grpc-web, [1] https://github.com/PabloSzx/new_gqless. With REST you can just use a normal HTTP caching proxy for all the GETs under certain paths, off the shelf. When you're many devs, many APIs, many resources, it really pays to have a consistent, well-defined way to do this. Wholeheartedly agree. This post is just a brief summary of each protocol, I don't understand how it made it to the front page. the good old rest is admittedly not as flexible as rpc or graphql but does the job for simpler and smaller apis albeit I admit i see, anecdotally, it being used less and less. Maybe it’s because I’m in the .net world, but why is there never any love for odata? It even says so at the beginning of the spec: > Product‐centric: GraphQL is unapologetically driven by the requirements of views and the front‐end engineers that write them. Any changes to existing behaviors, removal of fields, or type changes required incrementing the API version, with support for current and previous major versions. Sometimes you really want to be explicit rather than implicit, even if being explicit is kind of boring.). Of course, if the argument is simply that it tends to be more challenging to manage performance of GraphQL APIs simply because GraphQL APIs tend to offer a lot more functionality than REST APIs, then of course I agree, but that's not a particularly useful observation. by Sumit Sarkar. No way! A counterpoint here is that if someone was seriously considering these three theyre likely choosing between HATEOAS, resource-oriented gRPC, and GraphQL. The biggest problem leading to this headache with REST APIs is that all of the fields are returned when you query an endpoint. Because the backend app servers were extremely fat (memory and disk intensive) and every request they served that could have been served from an upstream cache was a request that they weren't serving that actually required all of their resources to serve. Technically the spec is part of GraphQL itself now, but an optional recommendation, not something you’re obliged to do. It's likely the language you tried it with has a poor type system. GitHub REST API client for JavaScript GitHub GraphQL API client for browsers and Node You can use this CURL command to see the JSON returned by the V3 REST API for your repos: Edit: this is not true see below). In this case you can decide to not put them in the GraphQl response but instead put a REST uri of them there and then have a endpoint like `/blobs/` or `/blobs/pictures/` or similar. You don't get much more human readable than GraphQL syntax. Not REST as in resource modelling but simply sending a request serialized as a JSON object and getting a response back as a JSON object. You have to limit not just number of calls, but quantity of data fetched. Even if a process re-serializes a message, unknown fields will be preserved, if using the official protobuf libraries proto2 or 3.5 and later. It's almost self-documenting in v3, and looks about the same in v2, although I've used v2 less so can't be sure. [0] https://jsonapi.org/format/#fetching-includes. Have you seen OpenAPI ? The browser supports built in caching without requiring a specific library; additionally the infrastructure of the web provides this as well. Does grpc-web work well? Big missing con for GraphQL here — optimization. For us this was hidden by our build systems. But you still have the issue of your application being tightly coupled to your implementation. - Overload protection and flow control Only in 3.0 did they drop unknown fields, which was complete lunacy. - Authorization support As soon as you start implementing field/resource customizability in a REST API you have roughly the same problems guaranteeing performance. On the upside, it means that things tend to behave very consistently, and all the official code generators meet a very high standard for maturity. You have to understand the context of the incoming queries in each resolver, and then make auth decisions about it. Sorry, they were addressing the two points from the comment above. Some target platforms even have multiple code generators representing different people's vision for what the code should look like. The focus is on achieving interoperability across APIs for analytics, integration and data management. edges and node come from Relay, not from the core GraphQL spec. As far as the description features go, they're something, but the lack of ability to stick extra information just anywhere in the file for the JSON format severely hampers the story for high-level documentation. A naive GraphQL implementation makes it trivial to fetch giant swaths of your database. I'll point out that if you are a Go library, you should not assume the code you're calling is thread-safe... but they did the opposite. For my part, I came away with the impression that, at least if you're already using Envoy, anyway, gRPC + gRPC-web may be the least-fuss and most maintainable way to get a REST-y (no HATEOAS) API, too. Jeff Leinbach, senior software engineer at Progress, and Saikrishna Teja Bobba, developer evangelist at Progress, conducted this research to help you decide which standard API to consider adopting in your application or analytics/data management tool. That seems to rub most people (including me) the wrong way nowadays. There’s a minimum level of behaviors that you must have to be OData compliant. > usually worked around by jamming anything ambiguous like floats, dates, times, et c into strings. I'm a huge fan of GraphQL, and work full-time on a security scanner for GraphQL APIs, but denial of service is a huge (but easily mitigated) risk of GraphQL APIs, simply because of the lack of education and resources surrounding the topic. There are a variety of tricks to solve the over/under-fetching problems of REST. That endpoint would need to have been discovered by navigating the resource tree, starting from the root resource. The graphql and grpc systems are “good” because theyre schema driven so that makes automated tooling easier. - Standard logging OData is more flexible in that queries can be easily written to return all fields. Facebook developed GraphQL as a response to the less flexible REST convention. API 101: SOAP vs. REST; Introduction to GraphQL; Comparing API Architectural Styles: SOAP vs REST vs GraphQL vs RPC; Even though GraphQL is on the rise and is being adopted by bigger and bigger companies, including GitHub and Shopify, the truth is that the majority of public APIs are still REST APIs. OData had its momentum but since a couple of years at least, there is no maintained JS odata library that is not buggy and fully usable in modern environments. - Tracing - Load balancing Because embedded apps appear directly inside the Shopify admin, we encourage developers to use Polaris, Shopify’s open-source design system, for a more consistent user experience. So while GraphQL gives you the ability to determine from the metadata what fields and functions are available, you still don’t know what they mean semantically. Of course it isn’t inherent in the specification, but I don’t think it’s something that an implementer should have to think about either (beyond, ‘have I enabled DOS mitigation ‘ anyway). gRPC has good support for mixing and matching the two, and making an intentional decision about how you do or do not want to mix them is again probably a much bigger deal in the long run than the simple fact of using protocol buffers over HTTP/2. This reduces response size and processing in an application. Since you also have two field tags, Timestamp requires 11-12 bytes to represent the current time, and it's expensive to decode because it takes the slowest-possible path through the varint decoder. (...) Instead, allow servers to instruct clients on how to construct appropriate URIs, such as is done in HTML forms and URI templates, by defining those instructions within media types and link relations. its already conflating transport & serialization. It doesn't have to be confined to JSON. Rust has tonic, which I've used to good effect as both as a client and server. Saving bytes on the wire is such a weird optimization at early to mid stages that - unless latency is your. The point is to get free of resource modelling paradigm, the meaning of various http methods, and potential caching. It most cases, it's sufficient, and in all cases it keeps builds simple and dependencies few. For starters, REST and "JSON over HTTP/1.1" are not necessarily synonyms. by Duncan Uszkay; Dec 18, 2020; Development; Simplify, Batch, and Cache: How We Optimized Server-side Storefront … OData provides similar functionality by providing a select list to limit the number of fields returned to those needed by an application. I had the pleasure of reading the generated code and noticing the goroutine-per-slice-element design when our code wrapped the entire request in a database transaction. It’s easier to use a web cache with REST vs. GraphQL. We do all the heavy lifting with OData, so you don’t have to worry about adhering to the standard. And this behavior can be different on an implementation by implementation basis. Highly recommend taking a look at the JSONAPI spec -. Or how complex things get when you want to implement auth for multi-tenant SaaS. I think a combination of new technology w/o standardized best practices and startups being resource constrained proliferates poor security with graphql. GRPC is close as well, except the serialisation format isn't JSON, it's something more optimised. I can't say I reached any conclusions -- I can only offer that the handful of people that have offered feedback found if feature rich and easy to use. In my opinion, it makes very little sense to compare GraphQL to REST from a client perspective - if you are only going to be hitting a single API endpoint, use REST (or gRPC I guess). like if I wanted to grab a relationship that hasn't been implemented with its own resource endpoint. The Shopify GraphQL Integrated Development Environment (IDE) Anyway, I'm going to go back to this Shopify Admin API GraphiQL Explorer and I'm going to install it on a store that I already have set up. And the second makes API evolution more awkward, and renders the code generation all but useless for adding an API to an existing application. Apollo support link: https://www.apollographql.com/docs/apollo-server/performance... That being said some of those advanced use cases may be off by default in Apollo. But if you can further point out that GraphQL has more functionality than is required, then you can basically make a YAGNI-style argument against GraphQL. Being not JSON means you can include comments, which opens up the possibility of using .proto files as a one stop shop for completely documenting your protocols. On top of this you get something else that is way better: Relatively fast server that's configured & interfaces with the same way in every programming language. You can use your own encoding (milliseconds since epoch, RFC3339 string, etc), but using Timestamp gets you some auto-generated encoding / decoding functions in the supported languages. However, you can leverage our hybrid technology to produce a standard REST API (OData). Let our experts teach you how to use Sitefinity's best-in-class features to deliver compelling digital experiences. I am totally expecting the next fad in web development to be just exposing a raw SQL interface to the front-end... Simplify things? I married it to mongoose [2] and added an extension called json-patch-rules to whitelist/blacklist operations [3] and my API life became a very happy place. On top of that, we had all kinds of weird networking issues that we just weren't ready to tackle the same way we could with good ol' HTTP. So there's a certain art to making sure you don't accidentally DOS attack yourself. This way you can extend without breaking. gRPC spits out a library that you import, and it's a single library for both clients and servers. You have the right to request deletion of your Personal Information at any time. These were basic principles I put in place at a previous company that had a number of API-only customers. Repeatedly faced with this `either-or`, I set out to build a generic app that would auto provision all 3 (specifically for data-access). Speaking of editor support, using its own language means that the IDEs I tried (vscode and intellij) offer much better editor assistance for .proto files than they do for OpenAPI specs. Hasura makes that pretty easy as can be seen here: That's an end user experience on a platform. Pretty cool! To visually illustrate the differences in working with these APIs, the following two code examples show how to do an “Order By” in GraphQL and OData. If I'm going to neuter HTTP like that, I at least do RPC over websockets for realtime feel. I like edges and node, it gives you a place to encode information about the relationship between the two objects, if you want to. Which is quite a bit more powerful than any custom solution. RESTful implementations make use of standards such as HTTP, URI, JSON and XML. You need to jump through an additional hoop to store timezone or offset. Slovakia Toptal Member Since May 10, 2017. It directly addresses the cons mentioned in the article while retaining all the pros. There’s a laundry list of applications that are already OData-capable, as well as OData client libraries that can help you if you’re developing a new application. This is what I see as a huge misconception of GraphQL, and unfortunately proliferates due to lots of simple "Just expose your whole DB as a GraphQL API!" I used to write protocol buffer stuff for this reason. HTML Templates: This provides developers with elements like