jsoniter-scala
ryu
| jsoniter-scala | ryu | |
|---|---|---|
| 29 | 5 | |
| 707 | 1,484 | |
| - | 0.3% | |
| 9.6 | 0.0 | |
| 3 days ago | 11 days ago | |
| Scala | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
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.
ryu
- Ryu Controller Citation
- Ryu Controller
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RYU Controller SDN
You can report the problems at https://github.com/faucetsdn/ryu/issues
What are some alternatives?
circe - Yet another JSON library for Scala
dragonbox - Reference implementation of Dragonbox in C++
json4s - JSON library
eventlet - Concurrent networking library for Python
DSL-JSON - High performance JVM JSON library
Adminer - Database management in a single PHP file
jackson-module-scala - Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes
oss-fuzz - OSS-Fuzz - continuous fuzzing for open source software.
Play JSON - The Play JSON library
spray-json - A lightweight, clean and simple JSON implementation in Scala
None Is Not Null - JSON typeclasses that know the difference between null and absent fields
sbt-json - sbt plugin that generates Scala case classes for easy, statically typed and implicit access of JSON data e.g. from API responses