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187 points chhum | 1 comments | | HN request time: 0.001s | source
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exabrial ◴[] No.44006194[source]
Java performance isn't the fastest, that's ok, a close 3rd place behind C/CPP ain't bad. And you're still ahead of Go, and 10x or more ahead of Python and Ruby.

Java syntax isn't perfect, but it is consistent, and predictable. And hey, if you're using an Idea or Eclipse (and not notepad, atom, etc), it's just pressing control-space all day and you're fine.

Java memory management seems weird from a Unix Philosophy POV, till you understand whats happening. Again, not perfect, but a good tradeoff.

What do you get for all of these tradeoffs? Speed, memory safety. But with that you still still have dynamic invocation capabilities (making things like interception possible) and hotswap/live redefinition (things that C/CPP cannot do).

Perfect? No, but very practical for the real world use case.

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hintymad ◴[] No.44009121[source]
> And hey, if you're using an Idea or Eclipse (and not notepad, atom, etc),

Java's tools are really top notch. Using IntelliJ for Java feels a whole new different world from using IDEs for other languages.

Speaking of Go, does anyone know why Go community is not hot on developing containers for concurrent data structures? I see Mutex this and lock that scattering in Go code, while in Java community the #1 advice on writing concurrency code is to use Java's amazing containers. Sometimes, I do miss the java.util.concurrent and JCTools.

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zwnow ◴[] No.44009525{3}[source]
Just implement concurrency with actors and u save up on some locks and mutexes...

The patterns are available, its up to the community to apply proper concurrency patterns.

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1. PaulDavisThe1st ◴[] No.44009956{4}[source]
The only replacement for locks/mutexes is a lock free data structure. Locks are not what make concurrency possible, they are what makes it data-safe.

You can use platform threads, user-space threads, language-provided "green" threads, goroutines, continuations or whatever you wish for concurrency management, but that's almost orthogonal to data safety.