grpc_bench
jsoniter-scala
grpc_bench | jsoniter-scala | |
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58 | 29 | |
850 | 707 | |
- | - | |
8.4 | 9.6 | |
4 days ago | 3 days ago | |
Dockerfile | Scala | |
MIT License | MIT License |
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.
grpc_bench
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Poor gRPC performance on test - help needed
SayHello, GetUser, and Sum differ only by payload size. Sum is the simplest one - (int, int) -> int, GetUser is (long) -> User (medium payload), and SayHello uses exactly the same payload as this test: https://github.com/LesnyRumcajs/grpc_bench/tree/master/dotnet_grpc_bench
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2023-06-25 gRPC benchmark results
This is correct. The problem is not with the benchmark itself but with the implementation. If you look at the result, you can see that even with 6 "allowed" CPUs, the vertx server utilizes less than 100%. Apparently, the current vertx implementation (the one implemented in https://github.com/LesnyRumcajs/grpc_bench/tree/master/java_vertx_grpc_bench) is single-threaded or has some other limitation.
Another iteration of grpc_bench!
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Why does C#/.NET is in demand in Philippines especially in BGC? How about PHP?
Because it's fast and runs on Windows, Linux, and MacOS
- .NET Core performance on Linux
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Another two cents about the current situation with the Scala user base and economics.
In general though, akka/pekko-streams are known to be one of the fastest implementations out there. Their grpc client for example even beats languages like Rust (see https://www.lightbend.com/blog/akka-grpc-update-delivers-1200-percent-performance-improvement and https://github.com/LesnyRumcajs/grpc_bench/wiki/2022-03-15-bench-results).
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What is the current status of Akka in your organisation?
The whole point I was making is at least up until 8 months ago (at best, I can't commend on the stability/maturity/performance of shardcake) Akka was the only mature library/ecosystem solving this problem with also a very strong focus on performance (for example still to this day, akka/pekko-grpc is generally one of the fastest grpc implementations I am aware of, its even beating rust if you have at least 2 cores (see https://github.com/LesnyRumcajs/grpc_bench/wiki/2022-03-15-bench-results)
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QuickBuffers 1.1 released
It would be interesting to create a new java benchmark with your implementation.
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Ask HN: Examples of Top C# Code?
Also worth checking out the gRPC benchmarks: https://github.com/LesnyRumcajs/grpc_bench/discussions/284
dotnet is up there with Rust.
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?
eCAL - Please visit the new repository: https://github.com/eclipse-ecal/ecal
circe - Yet another JSON library for Scala
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
json4s - JSON library
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
DSL-JSON - High performance JVM JSON library
gRPC - The Java gRPC implementation. HTTP/2 based RPC
jackson-module-scala - Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes
greeter-bpf - implementing gRPC GreeterServer in eBPF just for fun.
Play JSON - The Play JSON library
ghz - Simple gRPC benchmarking and load testing tool
spray-json - A lightweight, clean and simple JSON implementation in Scala