dotty-cps-async
jsoniter-scala
dotty-cps-async | jsoniter-scala | |
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10 | 29 | |
170 | 707 | |
- | - | |
9.4 | 9.6 | |
13 days ago | 3 days ago | |
Scala | Scala | |
Apache License 2.0 | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dotty-cps-async
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Help a Kotlin convert back into Scala world
Now in scala we have direct mode transformers: dotty-cps-async [https://github.com/rssh/dotty-cps-async] with cps-async-connect [https://github.com/rssh/cps-async-connect ] supports all well-knowm monad stacks, for ZIO also exists ZIO-direct [https://github.com/zio/zio-direct ] , for IO - cats-effect-cps [https://github.com/typelevel/cats-effect-cps ], for kyo [https://github.com/fwbrasil/kyo ] - kyo-direct.
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dotty-cps-async 0.9.12 is out
dotty-cps-async: https://github.com/rssh/dotty-cps-async
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The case against Effect Systems (e.g., the IO data type)
Hmm, you can write direct-style code with monad: https://github.com/rssh/dotty-cps-async allows this, exists support libraries exist for near all well-known effect systems: https://github.com/rssh/cps-async-connect, so you can use async/await with IO/ZIO the same as with Future. Although in IO style, any operation that mutates state is async, it's hard to write code where you should place `await` near each line. And it looks like automatic coloring is a too radical change of concepts for most functional programmers. The option to allow using <- in the direct style may be more popular, but this requires changes to the scala core. Another question - are we need effective systems to be present in each program in industrial-style development? Here I agree that mostly no.
- dotty-cps-async 0.9.11 is out. (bugfixes and experimental loom support)
- dotty-cps-async 0.9.9
- New Scala 3 Codebases
- Also dotty-cps-async 0.9.8 with scala-native support
- dotty-cps-async 0.9.8 with scala-native support
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Dotty-cps-async 0.9.7 is released.
This is a generic async/await transformer for scala3 which allows using effectful monads in the direct style. URL: (https://github.com/rssh/dotty-cps-async )
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Language-assisted Flattening
dotty-cps-async [rssh/dotty-cps-async ] with automatic coloring do something very similar in two steps. Automatic coloring defines implicit conversion F[A] => A as x => await(x)(m). The compiler inserts those awaits inside async blocks and then eliminates them later via cps-transform. Exists some limitations which we need to add for effect monads like IO (we don't want run effect twice and don't want to screw semantics of effects by extra memoizing). So, if your language has a possibility to implement effect monads, then you need a possibility to restrict using Flattenable.
jsoniter-scala
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1BRC Merykitty's Magic SWAR: 8 Lines of Code Explained in 3k Words
What an amazing step by step explanation!
More than 2 years ago I found that byte array view var handles are quite suitable to cook efficient SWAR routines with Java/Scala.
See a lot of other examples of SWAR usage, like parsing Base16/64 string, java.time.* and number values directly from byte arrays:
https://github.com/plokhotnyuk/jsoniter-scala/blob/master/js...
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The Newest Java Json Benchmark Results just dropped
Afaik dsl-json came up with a lot of improvements and inspired a several other libraries like JsonIter and jsonIter-scala. Jsoniter-scala by u/plokhotnyuk is probably the most optimized JSON library on the JVM at this point, and seems to power most of the Scala ecosystem. Some implementations/optimizations eventually made their way back into Jackson and other libraries.
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Please try my JSON library
I was on your place more then 5 years ago, when cut the 1st release of jsoniter-scala.
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Post your problems with Scala 3/2.13 compiler performance!
I've just increased compiler performance in ~1.5x times by adding these JVM options for the code cache
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smithy-translate : a CLI tool to turn openapi specs and json-schema specs into smithy specs, written in Scala
We have our own open-source code-generator that produces Scala code from Smithy. The code module is entirely dependency-free, and the generated code is not biased towards any library, be that http or json. We do however have out-of-the-box integration with jsoniter and http4s.
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Why does Scala seem to be slow at benchmark results?
You can use jsoniter-scala. It is easy to use like upickle.
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Scala needs *highly* efficient libraries to survive in a multi-core age
BTW, jsoniter-scala uses it for faster parsing and serialization using SWAR techniques, like here.
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Using Circe with GADT
Probably you should have both codecs (for Foo and for its T) are implicitly available in the scope, like it is done in the following test for jsoniter-scala:
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Starting with scala
BEWARE: uJson is vulnerable under DoS attacks
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Is Scala a good choice for a data intensive web backend?
Please see sources (and GitHub history of development) of jsoniter-scala as an example in the domain of JSON parsing and serialization.
What are some alternatives?
scala3-example-project - An example sbt project that compiles using Dotty
circe - Yet another JSON library for Scala
cps-async-connect
json4s - JSON library
scala-3-migration-guide - The Scala 3 migration guide for everyone.
DSL-JSON - High performance JVM JSON library
Rx.NET - The Reactive Extensions for .NET
jackson-module-scala - Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes
scala-gopher - Implementation of CSP constructions (Communication Sequence Process, i.e. go-like channels) in scala
Play JSON - The Play JSON library
libretto - Declarative concurrency and stream processing library for Scala
spray-json - A lightweight, clean and simple JSON implementation in Scala