Jokes aside, nothing wrong with rewriting in Java. It is well-suited for this kind of thing.
Rewriting it in anything without fully understanding the original code (the fact they think 150yo are collecting benefits tells me they don’t) is the biggest mistake here. I own codebases much smaller than the SSA code and there are still things I don’t fully understand about it AND I’ve caused outages because of it.
No. Java is not suited for this. This code runs on mainframes not some x86 shitbox cluster of dell blades. They literally could not purchase the hardware needed to switch to java in the timeline given. I get what you’re trying to say but in this case Java is a hard no.
Uh, Java is specifically supported by IBM in the Power and Z ISA, and they have both their own distribution, and guides for writing Java programs for mainframes in particular.
This shouldn’t be a surprise, because after Cobol, Java is the most enterprise language that has ever enterprised.
Non programmer but skilled with computers type guy here: what makes Java well suited for this?
This is probably an incorrect prejudice of mine, but I always thought those old languages are simpler and thus faster. Didn’t people used to rip on Java for being inefficient and too abstracted?
Last language I had any experience with was C++ in high school programming class in the early 2000s, so I’m very ignorant of anything modern.
Java can be pretty damn efficient for long running processes because it optimizes at runtime. It also can use new hardware features (like cpu instructions) without having to compile for specific platforms so in practice it gets a boost there. Honestly, the worst thing about Java is the weird corporate ecosystem that produces factoryfactory and other overengineered esoteric weirdness. It can also do FFI with anything that can bind via c ABI so if some part of the program needed some hand optimized code like something from BLAS it could be done that way.
All that to say it doesn’t matter what language they use anyway, because rewriting from scratch with a short timeline is an insane thing to do that never works.
Why is there a need to rewrite it at all? Is it because COBOL is basically ancient hieroglyphics to modern programmers thus making it hard to maintain or update?
Yeah, Java can run maybe half as fast as equivalently complex C, while being far more maintainable. But to see that kind of performance, you’ll want to use POJOs (plain old Java objects), not that enterprise bullshit. And there are many other optimization techniques that your average Java coder wouldn’t see in their average coding job. I’ve been there, didn’t like it. If I’m going to be dropping down to C for the hot spots, I’d rather use Python.
All that to say it doesn’t matter what language they use anyway, because rewriting from scratch with a short timeline is an insane thing to do that never works.
Schedule-driven development by people with no domain knowledge, with poorly understood requirements and life-and-limb-critical outcomes, led by an unpredictable moron. What could go wrong?
The way Java is practically written, most of the overhead (read: inefficient slowdown) happens on load time, rather than in the middle of execution. The amount of speedup in hardware since the early 2000s has also definitely made programmers less worried about smaller inefficiencies.
Languages like Python or JavaScript have a lot more overhead while they’re running, and are less well-suited to running a server that needs to respond quickly, but certainly can do the job well enough, if a bit worse compared to something like Java/C++/Rust. I suspect this is basically what they meant by Java being well-suited.
Java can be fast at runtime, but optimization is most effective on frequently-run, repetitive sections of code.
The slow Java interpreter spin-up time was a big annoyance for use of Java in serverless cloud functions. Now the big cloud providers have ways to minimize that spin-up delay.
I am a programmer but I’m not sure why people think Java is suited for anything, especially a system so sensitive to bugs. It’s so hard to write high quality readable code in Java. Everything is way more clunky, and verbose than it needs to be.
Some major improvements were made with versions 17+ but still, it feels like walking through mud.
It’s a language from the 1990s for the 1990s.
Btw the performance is actually pretty good in Java, the old reputation for slowness is entirely undeserved today.
Anecdotally, Python is about three times as concise as Java. You have to write lots of boilerplate to do anything much more complex than Hello World in Java. And one of the oldest and most reproducible results in software engineering is that the defect rate is proportional to the number of lines of executable code. The more concise the language, the cheaper it is to maintain. This has been measured in hundreds of environments, with dozens of languages, over decades.
Python is slow, though, so there are some situations where it’s not a good choice. But those cases are probably less numerous than you might assume. There have been a few occasions where I was told Python would be too slow, I’ve then built a proof-of-concept, and it was more than fast enough. People suck at knowing where bottlenecks are in complex systems.
And now that the Python project has finally bitten the bullet and taken measures to allow removal of the GIL, things might improve considerably, though Python’s dynamic nature and some features of its type inference mean that some things it does will never be ultra-speedy.
Other than hardware issues, which someone else mentioned, it has a lot of enterprise-grade functionality that make it more secure and auditable than a lot of other languages. And despite, or maybe because of, its large memory footprint it’s actually faster than most languages.
I totally get any hate about writing Java though. It is a verbose language. Using Kotlin instead helps with that.
I always thought those old languages are simpler and thus faster
They’re neither necessarily simpler nor faster.
COBOL is simple, but outside its sweet spot, it can’t do much. That sweet spot is high volumes of relatively trivial calculations, coded by non-superstar coders. It’s moderately efficient because it doesn’t do all that much.
Of the oldest languages still in use, FORTRAN has gone through a few generations of incremental improvements, and for complex mathematical calculations, it can be faster than shit off a hot shovel. But again, it’s limited in scope, its data typing is lousy, its general-purpose programming capabilities are poor, and any integration you do with other systems is going to be a vision of hell. I still deal with a FORTRAN codebase on my job, there are some situations where it’s still one of the least-bad options.
Then, the last of the surviving languages of that vintage is Lisp. It can be insanely fast, but despite its simple syntax and semantics, nobody would call Lisp programming simple. Accounting-system coders would recoil in horror.