I´ve been checking the Rest API and I cannot find an API to delete a particular document, or all documents of one particular view. Just the delete of the bucket or view.
Anyone know if is that possible?
generally speaking the (official, supported) REST API will deal with the cluster and buckets, whereas key/value operations are handled through the memcached binary protocol, and the SDKs are here to give you a facade over all this (including k/v) in your language of choice, idiomatically.
tl:dr no at least not in a supported stable way, you should use one of the SDKs
I can't find it either. Of course you could easily roll your own front-end wrapping a Couchbase client. Here's an example in ruby this.
Related
I am currently in the process of implementing pagination, sort and search functionalities in the project files/plans/sheets views of BIM 360 Docs integration.
Since I couldn't find any best practices regarding to these features, I thought I would reach out so that I don't keep stuck reinventing the wheel.
Background:
Most of the implementation uses https://github.com/Autodesk-Forge/forge-api-dotnet-client/ SDK.
Based on what I saw it looks like there is no built-in results sorting in the Forge/BIM 360 APIs. BIM 360 Docs looks as if it sorted results on the client.
One has to cache all the results as structured data on the client in order to provide the sorting functionality. That also does not play well with any pagination approach.
Question:
Is there a way to sort results using the API, so that they come back in a predefined order, also while paginating?
According to our engineering team, the "sort" feature isn't currently supported by Forge Data Management API. Apologizing for the inconvenience caused.
I have logged a request FDM-1813[Support sorting in APIs of BIM360 integration] in our internal system to our engineering team to allocate time to evaluate the possibility. As it required some time to complete this task, please remember this request id for the future reference. You're welcome to track updates or provide additional information by quoting this request id via forge.help#autodesk.com.
However, a workaround is to fetch all data from the API, then sorting on the client side via Javascript.
Cheers,
Could anybody explain advantage of using json-rpc over json-api and vice-versa? First and second format are JSON-based, but where I should use one, and where is another?
Note: I may come across a little biased. I am the author of the Json-RPC.net server library.
Json-RPC is a remote procedure call specification. There are multiple libraries you can use to communicate using that protocol. It is not REST based, and is transport agnostic. You can run it over HTTP as is very common, you can also use it over a socket, or any other transport you find appropriate. So it is quite flexible in that regard. You can also do server to client along with client to server requests with it by hosting the RPC server on either the client or the server.
Json-API is a specification for building REST APIs. There are multiple libraries you can use to get started with it. In contrast to Json-Rpc it requires you to host it on an HTTP server. You cannot invoke functions on the client with it. You cannot run it over a non-http transport protocol. Being REST based, it excels at providing information about Resources. If you want an API that is based around the idea of Create, Read, Update, Delete on some collections of resources, then this may be a good choice.
Json-API is going to be better if your API is resource-based, and you want your API to be browsable by a human without setting up documentation for it. Though that human would likely need to be in the software engineering field to make any sense of it.
Json-RPC is going to be better if your API is function based, or you want the flexibility it provides. Json-RPC can still be used to manipulate Resources by creating Create, Read, Update, and Delete functions for your resources, but you don't get the browsability with it not being REST based. It can still be explored (not browsed) by a human by generating documentation based off of the functions you expose.
A popular example of something that uses Json-Rpc is BitCoin.
There are a lot of popular REST-based API's and Json-API is a spec with a bunch of tools to help you do REST right.
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Note: Neither of those (Json-RPC, or Json-API) are good when you consider for developer time, performance, or efficiently using network resources.
If you care about performance, efficiency, or developer time then take a look at Google's gRPC which is fantastic in those regards, and can still reduce developer time more than using a REST API as client and server code can be generated from a protocol definition file.
I want to use Couchbase but I want to implement change tracking in a few areas similar to the way RethinkDB does it.
There appears to be a hand full of ways to have changes pushed to me from a Couchbase server.
DCP
TAP
XDCR
Which one is the correct choice, or is there a better method?
UPDATE
Thanks #Kirk!
Thanks! it looks like DCP does not have a 100% production ready API today (5/19/2015). Your blog ref helped me decide to use XDCR today and migrate to DCP as soon as an official API is ready.
For XDCR this GitHub Repo has been helpful.
Right now the only fully supported way is XDCR as Kirk mentioned already. If you want to save time implementing it, you might want to base your code on this: https://github.com/couchbaselabs/couchbase-capi-server - it implements server side of the XDCR protocol (v1). The ElasticSearch plugin is based on this CAPI server, for example. XDCR is a good choice if your application is a server/service that can wait for incoming connections, so Couchbase (or the administrator) controls how and when Couchbase replicates data to your service.
Depending on what you want to accomplish, DCP might end up being a better choice later, because it's conceptually different from XDCR. Any DCP-based solution would be pull-based (from your code's side), so you have more fine-grained, programmatical, control over how and when to connect to a Couchbase bucket, and how to distribute your connections across different processes if necessary. For a more in-depth example of using DCP, take a look at the Couchbase-Kafka connector here: https://github.com/couchbase/couchbase-kafka-connector
DCP is the proper choice for this if how it works fits your use case and you can write an application to consume the stream as there is no official API...yet. Here is a blog post about doing this in java by one of the Couchbase Solutions Engineers, http://nosqlgeek.blogspot.de/2015/05/dcp-magic.html
TAP is basically deprecated at this point. It is still in the product, but DCP is far superior to it in most every fashion.
XDCR could be used, as it uses DCP, but you'd have to write a plug-in for XDCR. So you'd just be better off to write one directly to consume the DCP stream.
I'm trying to build my first Sproutcore App and I struggle to connect it to a MySQL-Database or any datasource other than fixture. I can't seem to find ANY tutorial except this one from 2009 which is marked as deprecated: http://wiki.sproutcore.com/w/page/12413058/Todos%2007-Hooking%20Up%20to%20the%20Backend .
Do people usually not connect SC-Apps to a Database? If they do so, how do they find out how to? Or does the above mentioned tutorial still work? A lot of gem-commands in the introduction seems to already differ from the official Sproutcore getting-started-guide.
SproutCore apps, as client-side "in-browser" apps, cannot connect directly to a MySQL or any other non-browser database. The application itself runs only within the user's browser (it's just HTML, CSS & JavaScript once built and deployed) and typically accesses any external data via XHR requests to an API or APIs. Therefore, you will need to create a service wrapper around your MySQL database in order for your client-side app to be able to load and update data.
There are two things worth mentioning. The first is that since the SproutCore app contains all of your user interface and a great deal of business logic, your API can be quite simple and should only return raw data (such as JSON). The second is that, I should mention that the client-server design, while more tedious to implement, is absolutely necessary in practice, because you can never trust the client side code, which is in the hands of a possibly nefarious user. Therefore, your API should also act as the final gatekeeper to validate all requests from the client.
This tutorial I found helped me a lot. Its very brief and demonstrates how to implement a very simple login-app, how to send post-requests (triggered by the login-button-action) to the backend-server and how to asynchronously process the response inside the Sproutcore-App:
http://hawkins.io/2011/04/sproutcore_login_tutorial/
I have few questions regarding HornetQ:
What are differences between HornetQ core API and the JMS API ?
is there any advantage or disadvantage on using one of these ?
Is it true to say if I use the core API and then I decide to
change my Messaging Bus (let's say to ActiveMQ) then I have to
change all my codes ?
HornetQ Core API is a proprietary API from HornetQ, while the JMS API is a standard API defined by the Java Community Process.
There are a few features that are not supported on JMS API, that are available through core-api:
It's not possible to have multiple consumers on a single topic subscription (say if you wanted to have multiple consumers to scale it better)
It's more generic on how you create the subscription. You just create a queue within an address. Very simple.
We have a nice API for asynchronous confirmations. No need to block ever if you use this feature.
The advantage on the JMS is portability. Your code stays the same if you decide to move between providers.
The disadvantage on JMS is that it lacks some features and it's a bit verbose, what's under works on JMS 2 JSR right now.
Yes, because as I have said here, Hornetq-core api is a proprietary API, hence it will only work on HornetQ. The same way as some message systems will have a proprietary API.
If you encapsulate your Messaging access you can minimize that a lot though where you could just replace a single class on your system using standard OO techniques.