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Go Style

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Re: Go Style

#11
post #8

I found this "best practice" curious to read: > The standard net/http server violates this advice and recovers panics from request handlers. Consensus among experienced Go engineers is that this was a historical mistake. If you sample server logs from application servers in other languages, it is common to find large stacktraces that are left unhandled. Avoid this pitfall in your servers. I don't think I've ever seen…

If your program fails in testing, and no-one reads the logs, does it ever get fixed?

There is one advantage to not having a top-level catch: if it fails in testing, it's very obvious immediately.

Though I do agree with you - and this can be done with a feature flag for dev/prod servers.

Re: Go Style

#12
post #8

I found this "best practice" curious to read: > The standard net/http server violates this advice and recovers panics from request handlers. Consensus among experienced Go engineers is that this was a historical mistake. If you sample server logs from application servers in other languages, it is common to find large stacktraces that are left unhandled. Avoid this pitfall in your servers. I don't think I've ever seen…

The Echo web framework is an interesting example of this [0]. By default it doesn't handle panics, but there is a configurable `Recover` middleware which does so. I agree though it's unusual, and this stuck out to me as an exception that proves the rule.

[0] https://echo.labstack.com/middleware/recover/

Re: Go Style

#13
post #8

I found this "best practice" curious to read: > The standard net/http server violates this advice and recovers panics from request handlers. Consensus among experienced Go engineers is that this was a historical mistake. If you sample server logs from application servers in other languages, it is common to find large stacktraces that are left unhandled. Avoid this pitfall in your servers. I don't think I've ever seen…

I believe the idea is that 'panic' is considered something fatal. If it happens, the application should die unless you have a strong reason for it not to. If you can recover e.g. by returning HTTP 500 for a single request, it should be handled by returning errors up throughout the call stack, i.e., by error handling instead of panicking.

It's definitely an opinionated approach though.

Re: Go Style

#14
post #8

I found this "best practice" curious to read: > The standard net/http server violates this advice and recovers panics from request handlers. Consensus among experienced Go engineers is that this was a historical mistake. If you sample server logs from application servers in other languages, it is common to find large stacktraces that are left unhandled. Avoid this pitfall in your servers. I don't think I've ever seen…

I believe the idea is that 'panic' is considered something fatal. If it happens, the application should die unless you have a strong reason for it not to. If you can recover e.g. by returning HTTP 500 for a single request, it should be handled by returning errors up throughout the call stack, i.e., by error handling instead of panicking. It's definitely an opinionated approach though.

> I believe the idea is that 'panic' is considered something fatal.

I think opinions in 3rd party Go code on what “fatal” means vary, that’s the issue. Sure it was intended to mean “this error is so bad the entire program needs to die right now” but in practice there’s cases where it’s treated more like an unchecked exception in Java, i.e., “I can’t recover from this so _I’m_ going to give up but _you_ can keep going.” Or put another way, what a library might consider fatal the caller doesn’t. It can be argued whether or not that’s the right thing to do, but the fact is it happens in the wild, so for something like a server you probably should trap it.

Re: Go Style

#15
post #8

I found this "best practice" curious to read: > The standard net/http server violates this advice and recovers panics from request handlers. Consensus among experienced Go engineers is that this was a historical mistake. If you sample server logs from application servers in other languages, it is common to find large stacktraces that are left unhandled. Avoid this pitfall in your servers. I don't think I've ever seen…

The question: what is the state of your server after a handler panics? The answer: you have no idea. It is not wise to continue serving requests when you may have serious issues in the state of your server. Maybe some central data structure is now corrupt. You have no way of knowing. Fail fast and fail hard.

OTOH, maybe your priorities are different and you would prefer to be more available than correct. In that case by all means add a recover to the top level of your request handlers. But it was a mistake to have made this decision for all users of net/http ahead of time.

Re: Go Style

#16
post #14

Earlier quoted context omitted.

I believe the idea is that 'panic' is considered something fatal. If it happens, the application should die unless you have a strong reason for it not to. If you can recover e.g. by returning HTTP 500 for a single request, it should be handled by returning errors up throughout the call stack, i.e., by error handling instead of panicking. It's definitely an opinionated approach though.

> I believe the idea is that 'panic' is considered something fatal. I think opinions in 3rd party Go code on what “fatal” means vary, that’s the issue. Sure it was intended to mean “this error is so bad the entire program needs to die right now” but in practice there’s cases where it’s treated more like an unchecked exception in Java, i.e., “I can’t recover from this so _I’m_ going to give up but _you_ can keep going…

> but in practice there’s cases where it’s treated more like an unchecked exception in Java, i.e., “I can’t recover from this so _I’m_ going to give up but _you_ can keep going.”

Java has a supertype for unrecoverable problems like out-of-memory-errors. It's called "Error", a subtype from Throwable. Exceptions are also Throwables, but they are NOT errors.

Re: Go Style

#17
post #15
post #8

I found this "best practice" curious to read: > The standard net/http server violates this advice and recovers panics from request handlers. Consensus among experienced Go engineers is that this was a historical mistake. If you sample server logs from application servers in other languages, it is common to find large stacktraces that are left unhandled. Avoid this pitfall in your servers. I don't think I've ever seen…

The question: what is the state of your server after a handler panics? The answer: you have no idea. It is not wise to continue serving requests when you may have serious issues in the state of your server. Maybe some central data structure is now corrupt. You have no way of knowing. Fail fast and fail hard. OTOH, maybe your priorities are different and you would prefer to be more available than correct. In that case…

In my experience, the panic is most likely because someone accessed a nil field when adapting some data. Nothing is corrupt, we just threw an exception in a mundane way.

The reality is this is far more common than something truly fatal. Mistake for someone or not, it probably is correct for most use cases

Re: Go Style

#19
post #8

I found this "best practice" curious to read: > The standard net/http server violates this advice and recovers panics from request handlers. Consensus among experienced Go engineers is that this was a historical mistake. If you sample server logs from application servers in other languages, it is common to find large stacktraces that are left unhandled. Avoid this pitfall in your servers. I don't think I've ever seen…

I believe the idea is that 'panic' is considered something fatal. If it happens, the application should die unless you have a strong reason for it not to. If you can recover e.g. by returning HTTP 500 for a single request, it should be handled by returning errors up throughout the call stack, i.e., by error handling instead of panicking. It's definitely an opinionated approach though.

Nil pointer panics happen. When a DB column that was supposed to be non-null is null and the code unexpectedly accesses it. Oh schema won't help because legacy. There are rare though and we fix such issues as they are discovered, but just pointing out a benign case when crashing the whole server on panic may be a wrong approach. Our approach is to always recover from panics so the server keeps chugging, but raise an alarm so someone is paged and fixes the issue right away.

Re: Go Style

#20
golang driving me nuts these days. enjoying the performance, but time.Parse put me into a ragequit mode last night and I really wish it was possible to return a thing OR nil
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