JSON and RSS feeds - difference? - json

What are the differences between JSON and RSS feeds?
Apart from:
A JSON feed is in a format that a
JavaScript can easily use directly.
Browsers can consume large amount of
JSON much more efficiently than they
can consume large amount of XML and
the gap is widening because the latest
versions of the browsers are now
providing native, safe support for
encoding and decoding JSON.

If you are using JavaScript then you know what a hassle the DOM can be. I would suggest using JSON just because it is easier to program for. I also depends on where you are sending it, whether or not your clients support RSS or JSON.
Other things:
JSON is easier to debug visually
Lots of good libraries for JSON in server side languages
More compact than RSS
You can define your own api/protocol (RSS is a standard)

JSON's substantially easier to parse. In PHP, for example, it's just json_decode($json).

Related

JSON and HTML trying to understand

According to a post on Stackflow.com called “what’s is JSOn and why would I use it? “web services used XML as their primary data format for transmitting back data, but since JSON appeared, it is preferred method.” Why do must web services use JSON over XML, is because it’s a better method for interchanging?
XML was designed primarily for document formats, e.g. papers in scientific journals. It contains many features that aren't needed for simple data interchange, and these features can get in the way when you are processing XML because they can't be easily represented in Javascript. So the code for processing the XML ends up a lot more complicated than it could be. By contrasts, JSON has an exact match to the data structures Javascript can handle natively. Of course, that problem could in principle be solved by using a language with better XML support than JavaScript - XSLT, for example - but unfortunately XSLT in the browser has never had the same level of investment put into it.
Additionally, for reasons I have never understood, the browser security folks decided that reading JSON from alien web sites (i.e. from a different domain from your HTML page) is safe, but reading XML from alien sites isn't. So if you switch from XML to JSON, you get rid of a lot of cross-site-scripting hassle.
JSON is less verbose and it is sufficient for simple data transmission, i.e. if you do not need any transformations (XSLT).

Can/should I use YAML as payload in RESTful webservice?

As the header says.
In general I like YAML more than JSON these days. I implemented a RESTful WS PoC back in the day using JSON. I was wondering if I can instead use YAML or not.
E.g. are there enough tools/libraries/support for doing that? Or would I end up doing quite a bit of mundane/tedious coding which I would've avoided if I were using JSON instead?
Also as I understood from WWW: REST doesn't restrict one from using YAML as the payload, is that correct?
Thanks!
Yes, if it's a goal that the data be especially readable by humans. REST itself isn't focused on protocols/formats so much as patterns.
There's not a lot to gain here for webservices however, which typically represent app to app communication. Computers don't care, and JSON can be pretty-printed to improve legibility somewhat.
YAML is well supported by mainstream languages, though not always included in standard libraries as JSON typically is. So you'll probably be looking at an additional library dependency.
Also, if the client is a browser, parsing will be slower, as you'll have to use a non-native external lib such as described here using: JavaScript YAML Parser . Make sure it gets compressed in transit or the extra indentation spaces will expand the size of the data.
Also, YAML has a lot of esoteric and downright potentially dangerous features. Whenever I'm using it I use the "safe" parser, and deactivate many if not most of its features besides data structures.
I could imagine some utility as a debug parameter however, perhaps url.yaml or …?fmt=yaml to assist during development. But, otherwise not much gain for all the trouble.

Protocol Buffers vs XML/JSON for data entry outside of programming effort

I would love to use protocol buffers, but I am not sure if they fit my use case. Here it is:
I have a Quiz app. This requires a bunch of data, like categories, questions, a list of answers (and which ones are correct). I do not want to be responsible for entering this data - I would prefer to pass it off to a non-programmer to serialize all this data for me, in either XML or JSON. Then my app would just read in the data file.
Does Google's Protocol Buffers fit my use case? Or should I stick to a more traditional format like XML or JSON?
I think not: Protobuf is a binary format. So then you would need to support a text format like XML or JSON and Protobuf.
Also it does not seem you would benefit from Protobufs better berformance at all.

IDL for JSON REST/RPC interface

We are designing a fairly complex REST API, in which most of the I/O are JSON encoded objects with a specific structure. One challenge we have found is to document the API in such a way that makes it easier for clients to post correct input and process output. Because the data of both the input and output requires fairly complex JSON objects, client developers often introduce bugs related to the structure of the I/O objects.
With all of the JSON web API's these days, I would have hoped for a general solution, but I am having a hard time finding one. I looked into json-schema which is a json-validation schema but both the IETF draft and implementations seem to be fairly immature (even though they have been around for a while, which is not a good sign).
A slightly different approach is offered by Protocol Buffers and Apache Avro, where the schema is not used for validation, but actually required for the encoding/decoding of the message. Of these 2, Avro seems to have rather limited documentation and implementations. ProtoBuf seems better, but I am not sure if this is really suitable to use in the browser to call a JSON api?
Now I am starting to doubt if I am looking at this from the right angle. Are there other methods available to make my API a bit more strong-typed'ish? Or is a formal description of a JSON REST/RPC API something that defeats the purpose of using JSON?
Edit: 6 months after this topic we found mongoose, which is very close to what we were lookin for.
Below a reply I received by email from Douglas Crockford.
I am not a believer in schemas as an alternative to input validation.
There are properties that cannot be verified from the syntax. I think
that was one of the ways that XML went wrong.
If your formats are too complex, then I would look at simplifying
them.
Such systems exist and I'm the author of one of them. It is called Piqi-RPC and it does IDL-based validation of the input and output parameters for RPC-style APIs over HTTP.
It supports JSON, XML and Google Protocol Buffers as data representation formats for input and output of HTTP POST requests. Clients can choose to use any of the three formats and specify their choice using the standard Accept and Content-Type HTTP headers.
So, yes, in theory, you are looking in the right direction. However, at the moment, Piqi-RPC supports writing servers only in Erlang and it wouldn't be very useful for you if you use a different stack. I heard that Apache Thrift also supports JSON over HTTP transport, but I haven't checked. Another kind of similar system I know of (also for Erlang) is called UBF. I have heard of libraries for Java that can parse and validate JSON based on Protocol Buffers specification (e.g. http://code.google.com/p/protostuff/).
The idea itself is far from being new, but there aren't many systems that approach it in practice. It is a challenging problem.
Historically, IDLs were used for interface definition and binary data serialization and not so much for validating dynamic data interchange formats (e.g. XML and JSON) which emerged later. Sun-RPC IDL and CORBA IDL fall in the first category. WSDL would be one of few examples covering both areas, but it is a terrible piece of technology and it would be a bad choice for most modern systems. In addition, there are many schema languages (also known as DDLs -- data definition languages), most of which are highly specialized and work with only one representation format, e.g. XML or JSON schemas. Few of those have stable implementations.
The Piqi project and Piqi-RPC, which is based on it, are build around several fairly simple realizations:
DLL doesn't have to be explicitly tied to any particular data representation format or built around it. Instead, such language can be fairly universal and cover wide range of practical use-cases (e.g. cross-language data serialization and data validation) and data formats (e.g. JSON, XML, Protocol Buffers).
IDL for RPC-style communication can be implemented as a thin, mostly syntactic layer on top of the universal DDL.
Such IDL and interface specifications can be transport agnostic.
Speaking of REST-style APIs over HTTP compared to RPC-style APIs over HTTP.
With RPC-style APIs, service developer or an automated system have to validate three things: function name (according to some service naming scheme), input and, if you choose so, output.
In case of REST-style APIs, people get themselves in trouble for no good reason. Now, they have a lot more stuff to validate: arbitrarily complex URL syntax, including dynamic parameters encoded in URL segments (for all HTTP methods) and URL query string (only for HTTP GET method), HTTP method correspondence (whether it should be GET, POST, PUT, DELETE, etc.), HTTP body when some parameters go there (sometimes they do it manually twice for parameters represented in JSON and XML), custom HTTP headers, and separately -- service documentation. Imagine an IDL supporting all that!
XML is better for RESTful services in many ways. It has native linking (<link href=, for all those HATEOAS fans), native language support (lang="en") and a great ecosystem.
It is also better for future proofing and future API refactorings. Converting this:
<profile>
<username>alganet</username>
</profile>
To support more usernames:
<profile>
<username>alganet</username>
<username>alexandre</username>
</profile>
Is much more simpler to do without breaking existing clients using XML. JSON is hard on that.
If you really need JSON, JSON-Schema is the way to go. It's immature, but I don't know anything better on that case. Maybe your consumers could choose between XML and JSON, so they can choose between a small payload (JSON) or RESTful candies (XML) using Content Negotiation.
I'd say the answer to your last question is yes. If you need a way to constrain and document the JSON "schema", why didn't you go with XML in the first place? It is not that much harder to parse, and being able to enforce a schema for it is a great advantage.

What is the most efficient way to send OData payloads over the wire? "Dense JSON?"

I'm designing a distributed application that will consist of a variety of REST services. Lately I've been going back and forth about whether to implement my REST services using the ASP.NET MVC 4 Web API or OData. Web API seems like it will some day be what I need but right now it's only half baked. Specifically, it only has a partial implementation of OData-style URI querying and doesn't do hypermedia out-of-the-box.
So this forces me to take another long hard look at OData. I really like the URI querying capability and structural hypermedia for lazy loading; I think I will use these features a lot in my application. However, the Atom Pub specification appears to be grossly inefficient.
I recently read a post about an efficient format for OData which mentions "dense JSON" but such a thing does not appear to actually exist. Is this true? And even if there's no such thing as dense JSON, regular JSON is still much more efficient than Atom Pub, correct?
Is there any situation where I would want to use Atom Pub over JSON?
There should be very little difference between ATOM and JSON on the semantic level with OData. Also most OData servers (WCF Data Services for sure) support both, so it's a choice of the client which one to use. As the blog post from Pablo mentions, to get the best payload size you should enable HTTP compression. It works great on both ATOM and JSON.
Reading JSON tends to be faster (XML parsing is kind of expensive), but that's if you're concerned with CPU consumption on the client. If I remember correctly, last time I saw the numbers, the compressed payload size for ATOM and JSON is not that different.
ATOM PUB is usually easier to consume in client which has available good XML or ATOM libraries and not JSON. And vice versa. But other than that, there should not be much of a difference.