go:linkname _initdone net/http.initdone "testing" _ "unsafe" // must import unsafe to use go:linkname _ "net/http" // must import net/http, so that net/http.init actually ends up in the executable
#Go http benchmark code
For each package, it generates code like: Here’s how the compiler implements package initialization, at least as of Go 1.12. (I tried using macOS’s instruments for profiling the go tool’s startup and found that-in addition to being generally useless-it added 300x overhead per run!) Also, because initialization is generally fast, you need to do a bunch of runs to gather data, and the exec and profiler tool overhead can be considerable. kandi ratings - Medium support, No Bugs, No Vulnerabilities. This works on Linux, although it’d be nicer to have an option that uses standard Go tooling. Implement go-http-routing-benchmark with how-to, Q&A, fixes, code snippets. This is because the compiler can make fewer assumptions (although as always there are ways to improve).Īnother idea is to hack your code to return immediately from main and then use benchcmd to benchmark and perf to profile. It also fails for a more subtle reason: The compiler generates different (slower) code for variable initialization when it occurs inside a function instead of at the top level. This is tedious and (like most tedious things) error-prone. One obvious idea is to copy your global variables and init functions into a regular Go benchmark. This works because memory profiling is on by default. If you are interested in memory allocation, Brad Fitzpatrick has a simple solution. So: How do you benchmark and profile program initialization? There has also been recent interest in optimizing the startup impact of the standard library. This is particularly true if the program is a low level tool that is executed repeatedly by other programs. Usually, the startup time for a Go program is negligible,Īnd irrelevant compared to its steady state performance.įor short-lived programs, though, startup performance can matter a lot. Then, package by package, the program initializes global variables and runs init functions. Go program execution doesn’t start at func main. Don't Panic Home RSS Benchmarking package initialization.Package main import ( "reflect" "testing" ) var nilslice int var empty = int func BenchmarkConcatBytesBufferLooped ( b * testing. This example function requires two slices of integers. In addition to the HTTP protocol, Jmeter also supports SOAP/REST web services, FTP, TCP, SMTP, and Java Objects. Jmeter is written in Java but supports HTTP(S) protocol for other tech stacks like Node.js, PHP, and ASP.NET. It is an open source application for load testing and performance measurement.
#Go http benchmark software
The less state being passed around the easier it is to quickly write a large base of non brittle unit tests to isolate exactly where the logic goes wrong when doing "the simplest thing" and of course to communicate to others/callers how they might use your function or how it handles failure modes. Apache Jmeter is also one of the most popular tools for load testing. Benchmark ESG provides ESG data management software & operational solutions that enable organizations to easily collect, use and report investment-grade. (Which is how tests help discover this MEGA-OBJECT anti-pattern, because even MEGA-OBJECT mocks are difficult).Ī second reason to not pass a MEGA-OBJECT is that those are usually "pass by reference" for performance reasons and if modifying/side-effects are allowed then the function may accidentally invalidate other values (or intentionally corrupt data or override permissions). If instead the function asks for the integer primitive that is the value of the MEGA-OBJECT's this should be very easy to fulfill. And if the function didn't really need the MEGA-OBJECT then the function will extract the one value it actually needs and throw all that work away. If the function asks for a MEGA-OBJECT then somehow the caller has to find or create a MEGA-OBJECT (which sounds very expensive).
What I mean is that the function caller wants to understand what they have to provide and what they'll get back. Two tensions to balance are the needs of the caller versus the needs of the function. One of the things that TDD helps focus on is modularity and requirements. Less lines of very-readable-code is usually an ok approximation for complexity, and less complexity means your program is easier to reason about (and easier to validate with tests!). (completely made up but believable fact). Small functions are easier to read and code is read 1000 times more often than it is written. Taking an earlier example I gave of MergeSort let's examine how TestDrivenDevelopment (or Design) was used to implement it. Go makes it very easy to unit test with the packagename_test.go file right next to the package source code file(s).Īs a pragmatic language designed for developers who ship to production the amount of built in tooling (testing, benchmarks, etc.) is impressive.
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