benchmarking

问题 I am using data grids as my primary "database". I noticed a drastic difference between Hazelcast and Ignite query performance. I optimized my data grid usage by the proper custom serialization and indexes, but the difference is still noticeable IMO. Since no one asked it here, I am going to answer my own question for all future references. This is not an abstract (learning) exercise, but a real-world benchmark, that models my data grid usage in large SaaS systems - primarily to display sorted

问题 I was interested in whether it would be faster to sort my classes using LINQ, or by implementing the IComparable interface and List.Sort. I was quite surprised when the LINQ code was faster. To do the test, I made a very simple class with the not-so-apt name of TestSort, implementing IComparable. class TestSort: IComparable<TestSort> { private int age; private string givenName; public int Age { get { return age; } set { age = value; } } public string GivenName { get { return givenName; } set

问题 We are trying to chose between technologies at my work. And I thought I'd run a benchmark using both libraries (aiohttp and requests). I want it to be as fair / unbiased as possible, and would love a look from the community into this. So this is my current code : import asyncio as aio import aiohttp import requests import time TEST_URL = "https://a-domain-i-can-use.tld" def requests_fetch_url(url): with requests.Session() as session: with session.get(url) as resp: html = resp.text async def

问题 Let's say I'm writing my own StringBuilder in a compiled language (e.g. C++). What is the best way to measure the performance of various implementations? Simply timing a few hundred thousand runs yields highly inconsistent results: the timings from one batch to the other can differ by as much as 15%, making it impossible to accurately assess potential performance improvements that yield performance gains smaller than that. I've done the following: Disable SpeedStep Use RDTSC for timing Run

问题 Hi have to query a website 10000 times I am looking for a real fast way to do it with R as a template url: url <- "http://mutationassessor.org/?cm=var&var=7,55178574,G,A" my code is: url <- mydata$mutationassessorurl[1] rawurl <- readHTMLTable(url) Mutator <- data.frame(rawurl[[10]]) for(i in 2:27566) { url <- mydata$mutationassessorurl[i] rawurl <- readHTMLTable(url) Mutator <- smartbind(Mutator, data.frame(rawurl[[10]])) print(i) } using microbenchmark I have 680 milliseconds for query. I

问题 My ultimate goal is to create a comprehensive set of benchmarks for several Java primitive collection libraries using the standard Java collections as a baseline. In the past I have used the looping method of writing these kinds of micro-benchmarks. I put the function I am benchmarking in a loop and iterate 1 million+ times so the jit has a chance to warmup. I take the total time of the loop and then divide by the number of iterations to get an estimate for the amount of time a single call to

问题 I'm coming from C and I wonder whether Rust's bounds checking affects performance. It probably needs some additional assembly instructions for every access, which could hurt when processing lots of data. On the other hand, the costly thing in processor performance is memory, so more arithmetic assembler instructions might not hurt, but then it might matter that after a cache line is loaded, sequential access should be very fast. Has somebody benchmarked this? 回答1: Unfortunately, the cost of a

问题 My goal is for our Redis server to hit about 80% CPU utilization in production. This will benefit our backend server design by ensuring we are not under-utilizing CPU while also leaving some headroom for growth and spikes. While using Redis' own benchmark tool redis-benchmark , it's very easy to reach about 100% CPU usage: $ redis-benchmark -h 192.168.1.6 -n 1000000 -c 50 On this benchmark, we assigned 50 clients to push 1,000,000 requests to our Redis server. But while using some other

问题 just looking at jmeter, from what I can I see it is a desktop application, so is it safe to say I can use it to benchmark a windows server running asp.net? any other recommended tools? 回答1: Yes, I successfully used JMeter with my ASP.NET (not MVC) website. These two tutorials were a godsend: http://blog.technicallyworks.com/2009/06/load-testing-aspnet-sites-with-jmeter.html http://blog.technicallyworks.com/2009/06/load-testing-aspnet-with-jmeter.html 回答2: I use JMeter to stress test our ASP

问题 I have to fetch one specific line out of a big file (1500000 lines) , multiple times in a loop over multiple files, I was asking my self what would be the best option (in terms of performance) . There are many ways to do this, i manly use these 2 cat ${file} | head -1 or cat ${file} | sed -n '1p' I could not find an answer to this do they both only fetch the first line or one of the two (or both) first open the whole file and then fetch the row 1? 回答1: Drop the useless use of cat and do: $