mbassador | Powerful event-bus optimized | Reactive Programming library
kandi X-RAY | mbassador Summary
kandi X-RAY | mbassador Summary
MBassador is a light-weight, high-performance event bus implementing the [publish subscribe pattern] It is designed for ease of use and aims to be feature rich and extensible while preserving resource efficiency and performance. The core of MBassador is built around a custom data structure that provides non-blocking reads and minimized lock contention for writes such that performance degradation of concurrent read/write access is minimal. Benchmarks that illustrate the advantages of this design are available in this [github repository] The code is production ready: 86% instruction coverage, 82% branch coverage with randomized and concurrently run test sets, no major bug has been reported in the last 18 month. No modifications to the core will be made without thoroughly testing the code. [Usage] usage) | [Features] #features) | [Installation] #installation) | [Wiki] #wiki) | [Release Notes] ./changelog) | [Integrations] #integrations) | [Credits] #credits) | [Contribute] #contribute) | [License] #license). Using MBassador in your project is very easy. Create as many instances of MBassador as you like (usually a singleton will do) ` bus = new MBassador(), mark and configure your message handlers with `@Handler annotations and finally register the listeners at any MBassador instance bus.subscribe(aListener). Start sending messages to your listeners using one of MBassador’s publication methods bus.post(message).now() or bus.post(message).asynchronously(). As a first reference, consider this illustrative example. You might want to have a look at the collection of [examples] ./examples) to see its features on more detail.
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Top functions reviewed by kandi - BETA
- Demonstrates how to run a single listener
- Returns a message listener instance
- Registers a listener for the given listener
- Return all subscriptions for the given message type
- Evaluates the condition
- Evaluate EL expression
- Returns an iterator over the elements in this list
- Removes an element from the set
- Returns an iterator over this set
- Inserts all elements in the queue into this queue
- Compares two ConcurrentSet objects
- Invokes the message handler
- Executes the message
- Clears the queue
- Entry point to the bus
- Publish message publication
- Initialize the dispatcher threads
mbassador Key Features
mbassador Examples and Code Snippets
Community Discussions
Trending Discussions on Reactive Programming
QUESTION
How can we divide work of consumers over a limited set of resources in RXJS?
I have a Pool class here (simplified):
ANSWER
Answered 2022-Mar-31 at 12:55So the main thing is you need to share the actual part that does the work, not only the resources.
Here's a solution from me:
https://stackblitz.com/edit/rxjs-yyxjh2?devToolsHeight=100&file=index.ts
QUESTION
There are two observables: the first named activator emits booleans. The second named signaler emits void events. There's a function f() which must be called under the next conditions:
If the last event from activator is true, and event from signaler comes, call f(). Otherwise (the last activator's event is false, or activator has not yet emitted anything), "remember" that signaler sent the event. As soon as activator emits true, call f() and clear "remembered" flag.
Example:
...ANSWER
Answered 2022-Mar-23 at 18:10You need a state machine, but you can contain the state so you aren't leaving the monad... Something like this:
QUESTION
We are using spring webflux (project reactor), as part of the requirement we need to call one API from our server.
For the API call, we need to cache the response. So we are using Mono.cache operator.
It caches the response Mono and the next time the same API call happens, it will get it from the cache. Following is example implementation
ANSWER
Answered 2022-Mar-03 at 14:54You can initialize the Mono in the constructor (assuming it doesn't depend on any request time parameter). Using cache operator will prevent multiple subscriptions to the source.
QUESTION
I would like to combine two observables in such a way that
- I mirror at most 1 value from the source observable (same moment it arrives),
- Then ignore its subsequent values until the notifier observable emits;
- Then, I allow to mirror at most 1 more value from the source;
- After which I again ignore elements until the notifier observable emits
- etc.
Source:
...ANSWER
Answered 2022-Jan-20 at 13:05I believe this is a simple use case of the throttle() operator.
QUESTION
I need to copy date from one source (in parallel) to another with batches.
I did this:
...ANSWER
Answered 2021-Dec-04 at 19:50You need to do your heavy work in individual Publisher-s which will be materialized in flatMap() in parallel. Like this
QUESTION
Context
I started working on a new project and I've decided to move from RxJava to Kotlin Coroutines. I'm using an MVVM clean architecture, meaning that my ViewModels communicate to UseCases classes, and these UseCases classes use one or many Repositories to fetch data from network.
Let me give you an example. Let's say we have a screen that is supposed to show the user profile information. So we have the UserProfileViewModel:
ANSWER
Answered 2021-Dec-06 at 14:53The most obvious problem I see here is that you're using Flow for single values instead of suspend functions.
Coroutines makes the single-value use case much simpler by using suspend functions that return plain values or throw exceptions. You can of course also make them return Result-like classes to encapsulate errors instead of actually using exceptions, but the important part is that with suspend functions you are exposing a seemingly synchronous (thus convenient) API while still benefitting from asynchronous runtime.
In the provided examples you're not subscribing for updates anywhere, all flows actually just give a single element and complete, so there is no real reason to use flows and it complicates the code. It also makes it harder to read for people used to coroutines because it looks like multiple values are coming, and potentially collect being infinite, but it's not the case.
Each time you write flow { emit(x) } it should just be x.
Following the above, you're sometimes using flatMapMerge and in the lambda you create flows with a single element. Unless you're looking for parallelization of the computation, you should simply go for .map { ... } instead. So replace this:
QUESTION
I am trying to create a table (with DT, pls don't use rhandsontable) which has few existing columns, one selectinput column (where each row will have options to choose) and finally another column which will be populated based on what user select from selectinput dropdown for each row.
in my example here, 'Feedback' column is the user dropdown selection column. I am not able to update the 'Score' column which will be based on the selection from 'Feedback' column dropdown.
...ANSWER
Answered 2021-Sep-30 at 14:31I'd suggest using dataTableProxy along with replaceData to realize the desired behaviour. This is faster than re-rendering the datatable.
Furthermore, re-rendering the table seems to be messing around with the bindings of the selectInputs.
Also please note: for this to work I needed to switch to server = TRUE
QUESTION
I'm receiving a request through a rest controller method with an object that I'm then passing to a method in the service layer.
The object in this request contains a list as follows:
...ANSWER
Answered 2021-Oct-18 at 16:21The expected way to do that is to actually use the fromIterable method and provide your List:
QUESTION
The following code attempts to react to one Supply and then, based on the content of some message, change its mind and react to messages from a different Supply. It's an attempt to provide similar behavior to Supply.migrate but with a bit more control.
ANSWER
Answered 2021-Oct-07 at 10:20I tend to consider whenever as the reactive equivalent of for. (It even supports the LAST loop phaser for doing something when the tapped Supply is done, as well as supporting next, last, and redo like an ordinary for loop!) Consider this:
QUESTION
I'm trying to use Combine to do several millions concurrent request through the network. Here is a mock up of the naive approach I'n using:
...ANSWER
Answered 2021-Oct-05 at 15:18The issue appears to be a Combine bug, as pointed out here. Using Publishers.Sequence causes the following operator to accumulate every value sent downstream before proceeding.
A workaround is to type-erase the sequence publisher:
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