151–160 of 259 posts
JavaScript can be fast too, it's just the ecosystem and decisions devs make that slow it down. Same for Java, I have yet to in my entire career see enterprise Java be performant and not memory intensive. At the end of the day, if you care about performance at the app layer, you will use a language better suited to that.
Understanding algorithmic complexity (in particular, avoiding rework in loops), is useful in any language, and is sage advice. In practice though, for most enterprise web services, a lot of real world performance comes down to how efficiently you are calling external services (including the database). Just converting a loop of queries into bulk ones can help loads (and then tweaking the query to make good use of inde…
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Normally in 100% cases, with parseInt/parseDouble etc. Getting NumberFormatException so frequently on a hot path that it impacts performance means, that you aren’t solving the parsing number problem, you are solving a guessing type problem, which is out of scope for standard library and requires custom parser.
Okay, but this contradicts your original statement that "Java doesn't steer anyone to use these [footguns]". Every language has a way to parse integers, and most developers do not need a custom parser. Only in Java does that suddenly become a performance footgun.
Understanding algorithmic complexity (in particular, avoiding rework in loops), is useful in any language, and is sage advice. In practice though, for most enterprise web services, a lot of real world performance comes down to how efficiently you are calling external services (including the database). Just converting a loop of queries into bulk ones can help loads (and then tweaking the query to make good use of inde…
> a lot of real world performance comes down to how efficiently you are calling external services (including the database) Apart from that my experience over the last 20 years was that a lot of performance is lost because of memory allocation (in GCed languages like Java or JavaScript). Removing allocation in hot loops really goes a long way and leads to 10 or 100 fold runtime improvements.
The code: public int parseOrDefault(String value, int defaultValue) { if (value == null || value.isBlank()) return defaultValue; for (int i = 0; i Is probably worse than Integer.parseInt alone, since it can still throw NumberFormatExceptions for values that overflow (which is no longer handled!). Would maybe fix that. Unfortunately this is a major flaw in the Java standard library; parsing numbers shouldn't throw exp…
I'm a bit surprised to see those examples, because there's nothing really new here. These are typical beginner pitfalls and have been there for at least a decade or more. Or maybe it's because I learned java in the late 90s and later used it for J2ME, and then using things like StringBuilder (StringBuffer in the old days) were almost mandatory, and you would be very careful trying to avoid unnecessary object allocati…
I remember writing Java for our introductory programming course at university around 2010. I was already familiar with object oriented programming in PHP at the time, so I just wrote the Java code like I would write PHP. I was absolutely astounded at the poor performance of the Java app. I asked one of our tutors and I can still remember him looking at the code and saying something along the lines of ”oh, you’re inst…
When you're using a programming language that naturally steers you to write slow code you can't only blame the programmer. I was listening to someone say they write fast code in Java by avoiding allocations with a PoolAllocator that would "cache" small objects with poolAllocator.alloc(), poolAllocator.release(). So just manual memory management with extra steps. At that point why not use a better language for the tas…
Even JavaScript is much better for this, much, much better.
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I'm a fan of Rust too. But there are millions of Java applications running in production right now, and some of them are running these anti-patterns today. Not everyone has the option to rewrite in a different language. For those teams, knowing what to look for in a profiler can make a real difference without changing a single dependency.
I think that right now it is easier than ever to rewrite your app in Rust, due to LLMs. Unfortunately there are still people out there who dismiss this idea, and continue having their back-end written in much inferior languages, like JavaScript or Python. If your back-end is written in Java, you aren't even in the worst spot.
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Because every single database vendor will try to lock down their users to their DBMS. Oracle is a prime example of this. Stored procedures are the place to put all business logic according to Oracle documentation. This caused backslash from escaping developers who then declared business logic should never be inside the database. To avoid vendor lock-in. There's no ideal solution, just tradeoffs.
> Because every single database vendor will try to lock down their users to their DBMS. I mean, that already happens. It's quite rare to see someone migrate from one database to another. Even if they stuck to pure SQL for everything, it's still a pretty daunting process as Postgres SQL and MSSQL won't be the same thing.
I'm not discounting the level of effort involved, but I think the reason you don't see this often is because it is rare that simply changing DBMS systems is beneficial in and of itself.
And even if it was frictionless (ie: if we had discovered ORM Samarkanda), the real choices are so limited that even if you did it regularly, you would soon run out of DBMSs to try.
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The question is why we don’t have database management systems that integrate tightly with the progmming language. Instead we have to communicate between two different paradigms using a textual language, which is itself inefficient.
The answer is simple: model optimized for storage and model designed for processing are two different things. The languages used to describe and query them have to be different.
Absolutely not.
That which is asserted without evidence can be dismissed without evidence.