rosie-jetty
Disruptor
rosie-jetty | Disruptor | |
---|---|---|
1 | 30 | |
0 | 17,037 | |
- | 0.5% | |
4.6 | 5.4 | |
10 months ago | 4 months ago | |
Java | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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rosie-jetty
Disruptor
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Gnet is the fastest networking framework in Go
https://lmax-exchange.github.io/disruptor/#_what_is_the_disr.... Unfortunately IIUC writing this in Go still prevents the spin-locked acceptor thread from achieving the kind of performance you could get in a non-GC language, unless you chose to disable GC, so I'd guess Envoy is still faster.
https://gnet.host/docs/quickstart/ it's nice that you can use this simply though. Envoy is kind of tricky to setup with custom filters, so most of the time it's just a standalone binary.
[0] https://blog.envoyproxy.io/envoy-threading-model-a8d44b92231...
[1] https://lmax-exchange.github.io/disruptor/#_what_is_the_disr...
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A lock-free ring-buffer with contiguous reservations (2019)
See also the Java LMAX Disruptor https://github.com/LMAX-Exchange/disruptor
I've built a similar lock-free ring buffer in C++11 https://github.com/posterior/loom/blob/master/doc/adapting.m...
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JEP Draft: Deprecate Memory-Access Methods in Sun.misc.Unsafe for Removal
"Why we chose Java for our High-Frequency Trading application"
https://medium.com/@jadsarmo/why-we-chose-java-for-our-high-...
LMAX Disruptor customers
https://lmax-exchange.github.io/disruptor/
Among many other examples.
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LMAX Disruptor – High Performance Inter-Thread Messaging Library
Current documentation
https://lmax-exchange.github.io/disruptor/
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Progress on No-GIL CPython
LMAX Disruptor has on their wiki that average latency to send a message from one thread to another at 53 nanoseconds. For comparison a mutex is like 25 nanoseconds and more if Contended but a mutex is point to point synchronization.
The great thing about it is that multiple threads can receive the same message without much more effort.
https://github.com/LMAX-Exchange/disruptor/wiki/Performance-...
https://gist.github.com/rmacy/2879257
I am dreaming of language that is similar to Smalltalk that stays single threaded until it makes sense to parallise.
I am looking for problems to parallelism that are not big data. Parallelism is like adding more cars to the road rather than increasing the speed of the car. But what does a desktop or mobile user need to do locally that could take advantage of the mathematical power of a computer? I'm still searching.
- Disruptor 4.0.0 Released
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Anything can be a message queue if you use it wrongly enough
Database config should be two connection strings, 1 for the admin user that creates the tables and anther for the queue user. Everything else should be stored in the database itself. Each queue should be in its own set of tables. Large blobs may or may not be referenced to an external file.
Shouldn't a message send be worst case a CAS. It really seems like all the work around garbage collection would have some use for in-memory high speed queues.
Are you familiar with the LMAX Disruptor? Is is a Java based cross thread messaging library used for day trading applications.
https://lmax-exchange.github.io/disruptor/
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
Disruptor for inter-thread messaging
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Measuring how much Rust's bounds checking actually costs
I have never worked in any industries where a perf margin was that small. It is funny, in HFT there are folks using Lmax (Java) and then you have folks writing their own TCP/IP stacks on FPGAs to do trading.