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failsafe | Fault tolerance and resilience patterns for the JVM | Functional Programming library

 by   failsafe-lib Java Version: Current License: Apache-2.0

 by   failsafe-lib Java Version: Current License: Apache-2.0

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kandi X-RAY | failsafe Summary

failsafe is a Java library typically used in Programming Style, Functional Programming applications. failsafe has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
Failsafe is a lightweight, zero-dependency library for handling failures in Java 8+, with a concise API for handling everyday use cases and the flexibility to handle everything else. It works by wrapping executable logic with one or more resilience policies, which can be combined and composed as needed. Current policies include Retry, CircuitBreaker, RateLimiter, Timeout, Bulkhead, and Fallback.
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • failsafe has a medium active ecosystem.
  • It has 3656 star(s) with 280 fork(s). There are 100 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 39 open issues and 226 have been closed. On average issues are closed in 296 days. There are 3 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of failsafe is current.
failsafe Support
Best in #Functional Programming
Average in #Functional Programming
failsafe Support
Best in #Functional Programming
Average in #Functional Programming

quality kandi Quality

  • failsafe has no bugs reported.
failsafe Quality
Best in #Functional Programming
Average in #Functional Programming
failsafe Quality
Best in #Functional Programming
Average in #Functional Programming

securitySecurity

  • failsafe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
failsafe Security
Best in #Functional Programming
Average in #Functional Programming
failsafe Security
Best in #Functional Programming
Average in #Functional Programming

license License

  • failsafe is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
failsafe License
Best in #Functional Programming
Average in #Functional Programming
failsafe License
Best in #Functional Programming
Average in #Functional Programming

buildReuse

  • failsafe releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
failsafe Reuse
Best in #Functional Programming
Average in #Functional Programming
failsafe Reuse
Best in #Functional Programming
Average in #Functional Programming
Top functions reviewed by kandi - BETA

kandi has reviewed failsafe and discovered the below as its top functions. This is intended to give you an instant insight into failsafe implemented functionality, and help decide if they suit your requirements.

  • Executes the given AsyncExecutor asynchronously .
  • Creates a CompletableFuture that will execute asynchronously .
  • Transforms an AsyncExecution internal into a CompletableFuture .
  • Transitions this circuit to a new state .
  • Creates a new bootstrap .
  • Gets the current bucket .
  • Executes the inner function .
  • Sets the value to the next bit .
  • The main method .
  • Execute the asynchronous call

failsafe Key Features

Fault tolerance and resilience patterns for the JVM

Community Discussions

Trending Discussions on Functional Programming
  • How do purely functional languages handle index-based algorithms?
  • Haskell comparing two lists' lengths but one of them is infinite?
  • Why is `forever` in Haskell implemented this way?
  • Memoize multi-dimensional recursive solutions in haskell
  • Why is my Haskell function argument required to be of type Bool?
  • Vector of functions in APL
  • What's the theoretical loophole that allows F# (or any functional language) to apply a function mulitple times on the same input
  • Is Control.Monad.Reader.withReader actually Data.Functor.Contravariant.contramap?
  • Confused about evaluation of lazy sequences
  • What is the relation between syntax sugar, laziness and list elements accessed by index in Haskell?
Trending Discussions on Functional Programming

QUESTION

How do purely functional languages handle index-based algorithms?

Asked 2022-Apr-05 at 12:51

I have been trying to learn about functional programming, but I still struggle with thinking like a functional programmer. One such hangup is how one would implement index-heavy operations which rely strongly on loops/order-of-execution.

For example, consider the following Java code:

public class Main {
    public static void main(String[] args) {
        List<Integer> nums = Arrays.asList(1,2,3,4,5,6,7,8,9);
        System.out.println("Nums:\t"+ nums);
        System.out.println("Prefix:\t"+prefixList(nums));
    }
  
    private static List<Integer> prefixList(List<Integer> nums){
      List<Integer> prefix = new ArrayList<>(nums);
      for(int i = 1; i < prefix.size(); ++i)
        prefix.set(i, prefix.get(i) + prefix.get(i-1));
      return prefix;
    }
}
/*
System.out: 
Nums:   [1, 2, 3, 4, 5, 6, 7, 8, 9]
Prefix: [1, 3, 6, 10, 15, 21, 28, 36, 45]
*/

Here, in the prefixList function, the nums list is first cloned, but then there is the iterative operation performed on it, where the value on index i relies on index i-1 (i.e. order of execution is required). Then this value is returned.

What would this look like in a functional language (Haskell, Lisp, etc.)? I have been learning about monads and think they may be relevant here, but my understanding is still not great.

ANSWER

Answered 2022-Mar-07 at 21:17

This is not an index-heavy operation, in fact you can do this with a one-liner with scanl1 :: (a -> a -> a) -> [a] -> [a]:

prefixList = scanl1 (+)

indeed, for the list of Nums, we get:

Prelude> prefixList [1 .. 9]
[1,3,6,10,15,21,28,36,45]

scanl1 takes the first item of the original list as initial value for the accumulator, and yields that. Then each time it takes the accumulator and the next item of the given list, and sums these up as new accumulator, and yields the new accumulator value.

Often one does not need indexing, but enumerating over the list is sufficient. Imperative programming languages often work with for loops with indexes, but in many cases these can be replaced by foreach loops that thus do not take the index into account. In Haskell this also often helps to make algorithms more lazy.

If you really need random access lookups, you can work with data structures such as defined in the array and vector packages.

Source https://stackoverflow.com/questions/71387267

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install failsafe

You can download it from GitHub.
You can use failsafe like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the failsafe component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

Check out the contributing guidelines.

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