A line can then be drawn between these two points with the slope characterizing scalability. Well-scaling test implementations would be expected to have a positive, steep slope for test types 1, 2, 4 and 6 whereas for test types 3 and 5 the slope is expected to be negative. TechEmpower Web Framework Benchmarks is a collaborative, open web framework benchmarking project that I blogged about last year . Since the last write-up a new benchmark round has been run with lots of new test implementations.
I fiddled with it for one day, and then, out of frustration, decided to give openresty a try. I’ve never written much Lua in my life, but after only a couple of hours, I had it working, and it was far, far faster than the Spray implementation. I did some research there, and it seems that the database stuff took a whole lot longer in Scala/Spray than in Lua. Now, of course, I loose type safety, so there may be hidden issues in there, but since I’m really just doing simple data transformations, I think I’m fine with lua / openresty. Implementing the actual test permutation turned out to be interesting, but surprisingly laborious, as well. I started seeing strange error responses occasionally when benchmarking my test implementation with ab and wrk, especially with higher loads.
If I had to do this over again I would look more into using boost or another language. Not exactly a framework but a good place to start. Have done absolutely no web development with c++, would be nice if someone answered this. It isn’t a must, I want to do a side project and C++ is my favorite language. And what if we went to 32G or 64G, but still needed more? The hardware needed to host a 128G system (or multiple 16/32G systems) isn’t cheap.
Single database query test
This article try to determine in the most objective and rational way the best web framework depending on your needs. To reach this goal, I will provide a decision tool in the result section. There are still practical limits, and sometimes you have to work within those.
Enable test implementation logging during preview runs . I found it very difficult to troubleshoot infrastructure deployment automation related bugs during the preview runs. Allowing server side logging for preview runs could be a huge help for test implementers troubleshooting their code. In this test there’s also been about 10 % performance degradation for the top 5 implementations. I did some non-scientific analysis of TFB round 10 results and here’re a few observations on the Peak environment, “best” concurrency level results. According to the documentation round 10 and 9 Peak hosting hardware specifications are the same, so the results should be directly comparable.
Just copy a .cppsp file into your , and it is instantly accessible. This project started as a student project in 2014 and was presented in 2017. Every aspect of the internet, we believe, ought to be free. As a consequence, this utility was developed for free document downloads from the internet. Our service is completely free; advertising is the only way we can keep operating.
Among others, round 10 benchmark run includes support for the Cassandra NoSQL database, as well as a new Java-based test implementation leveraging Servlet 3 asynchronous processing. Many frameworks are at their best with concurrency level of 256, except CPPSP which peaks at 1024. Only 12 test implementations are able to exceed 1 M requests per second.
The JSON structure has been modified a bit for easier parsing . And I am quite happy it confirms my current choice. I tried to be the most objective and factual as possible. But one thing I saw from experience is the more powerful the type system the safest your application is.
This is a very simple test and it’s a bit of a surprise to see such large variation in results. In their commentary TechEmpower attributes some of the differences to how well frameworks work on a NUMA-based system architecture. Provide resource consumption statistics for preview runs.
[Solved]-Is cpoll_cppsp framework type-safe as Ur/Web?-C++
Those workarounds not only hurt the performances of your application, but more importantly, they’re making your program harder to reason about. When implementing the API, I didn’t focus much on performances. My primary objectives were correctness, compositionality, and typesafety. Actually some design choices, like making every validator lazily evaluated, have a negative impact on performances. The unified validation API is an effort to provide the core primitives needed to validate any data structure.
Perhaps all the middleware software versions could be logged during test execution and the full test run logs could be made available. The benchmarking project source code doesn’t seem to be tagged. Tagging would be essential for making benchmarks repeatable. It was interesting to note that the top six test implementations use a relational database with the first NoSQL based implementation taking 7th place. This test runs DB read statements by ID, which NoSQL databases should be very good at. The JSON serialization test aims to measure framework overhead.
The thing that makes it ugly is what makes it fast. I wonder how facebook’s hhvm engine would stack up, as it is a jit’ing php engine and supposedly an order of magnitude faster. I decided to drop JAX-RS in this case, however, to eliminate any non-essential abstraction layers that might have a negative impact on performance. HHVM wins this test with 3 Node.js based frameworks coming next. Similar to the Single database query test the top 13 implementations work with relational MySQL DB, before NoSQL implementations. This test exercises simple read and write data access by ID which, again, should be one of NoSQL database strong points.
- Performance related data gathering could even be taken further by running test implementations using a profiling tool during preview runs.
- Only test implementations based on relational databases made it to top 10, leaving out MongoDB and Cassandra.
- Please note the actual ability to take a rational decision is pretty bad for now.
- There are a lot of biases, for example in the choice of the parameters.
- HHVM wins this test with 3 Node.js based frameworks coming next.
- All of this is based as most as I could on objective data.
The only performance metric a test implementer currently gets is the throughput figures per test and concurrency level. This gives the implementer very little to go by, in terms of optimization feedback. CPPSP (C++ Server Pages) is a web application framework similar to ASP and ASP .Net. CPPSP pages have a very similar syntax to ASP and ASP .NET, where all code is considered HTML by default, and server-side active code can be embedded using “”. That’s because php is a really thin wrapper around the underlying C libraries.
Equally, connecting from East Coast USA to East Coast USA will be a higher bandwidth connection than East Coast USA to Europe; ignoring terrible last mile connectivity and wifi packet dropping, for the same reason. Interestingly West US to East US is about the same as East US to Europe. While our game servers are built more like HFT Quant trading servers, we also need to dynamically scale and repartition space on the fly based on demand.
Kestrel is the web server that’s included and enabled by default in ASP.NET Core project templates. Kestrel supports HTTPS, HTTP/2 , Opaque upgrade used to enable WebSockets, Unix sockets for high performance behind Nginx…. The D series are my preferred option; D1-D14 have 60% faster CPU than A series; more memory and local SSDs; with D14 being 16 cores 112 GB and 800 GB SSD. I think the point of this post is rather obvious.
So far, we believe this more than validates that we are not compromising performance by running in Azure, using Windows or managed C# to get both the best performance and also the most developer productivity. It comes in at 412k requests per second css Match all elements having class name starting with a specific string ; which again looking at the chart is some exceptional performance. At this point, I think we’ve concluded that Windows and C# can be very good in the high performance networking role… and possibly out-perform the best C++ on linux so far?
Our dynamic scaling needs are a good fit for the cloud where we only pay for what we use and always have more capacity ready for when we need it – whether burst or sustained. You can learn more about the unified API by reading this post or by checking out the source code. The Scala API is significantly faster than the Java API. Having invalid fields will greatly affect performances in the Java API, while it has little impact on the Scala side.Continue Reading...