Pure readers do not need any mutex on the fast path. It is an atomic CAS - 
which is faster than a mutex as it allows concurrent readers. On the slow path 
- fairness with a waiting or active writer - it degenerates in performance to a 
simple mutex. 

The issue with a mutex is that you need to acquire it whether reading or 
writing - this is slow…. (at least compared to an atomic cas)

> On Jan 30, 2023, at 2:24 PM, Ian Lance Taylor <i...@golang.org> wrote:
> 
> On Mon, Jan 30, 2023 at 11:26 AM Robert Engels <reng...@ix.netcom.com> wrote:
>> 
>> I don’t think that is true. A RW lock is always better when the reader 
>> activity is far greater than the writer - simply because in a good 
>> implementation the read lock can be acquired without blocking/scheduling 
>> activity.
> 
> The best read lock implementation is not going to be better than the
> best plain mutex implementation.  And with current technology any
> implementation is going to require atomic memory operations which
> require coordinating cache lines between CPUs.  If your reader
> activity is so large that you get significant contention on a plain
> mutex (recalling that we are assuming the case where the operations
> under the read lock are quick) then you are also going to get
> significant contention on a read lock.  The effect is that the read
> lock isn't going to be faster anyhow in practice, and your program
> should probably be using a different approach.
> 
> Ian
> 
>>>> On Jan 30, 2023, at 12:49 PM, Ian Lance Taylor <i...@golang.org> wrote:
>>> 
>>> On Sun, Jan 29, 2023 at 6:34 PM Diego Augusto Molina
>>> <diegoaugustomol...@gmail.com> wrote:
>>>> 
>>>> From times to times I write a scraper or some other tool that would 
>>>> authenticate to a service and then use the auth result to do stuff 
>>>> concurrently. But when auth expires, I need to synchronize all my 
>>>> goroutines and have a single one do the re-auth process, check the status, 
>>>> etc. and then arrange for all goroutines to go back to work using the new 
>>>> auth result.
>>>> 
>>>> To generalize the problem: multiple goroutines read a cached value that 
>>>> expires at some point. When it does, they all should block and some I/O 
>>>> operation has to be performed by a single goroutine to renew the cached 
>>>> value, then unblock all other goroutines and have them use the new value.
>>>> 
>>>> I solved this in the past in a number of ways: having a single goroutine 
>>>> that handles the cache by asking it for the value through a channel, using 
>>>> sync.Cond (which btw every time I decide to use I need to carefully 
>>>> re-read its docs and do lots of tests because I never get it right at 
>>>> first). But what I came to do lately is to implement an upgradable lock 
>>>> and have every goroutine do:
>>> 
>>> 
>>> We have historically rejected this kind of adjustable lock.  There is
>>> some previous discussion at https://go.dev/issue/4026,
>>> https://go.dev/issue/23513, https://go.dev/issue/38891,
>>> https://go.dev/issue/44049.
>>> 
>>> For a cache where checking that the cached value is valid (not stale)
>>> and fetching the cached value is quick, then in general you will be
>>> better off using a plain Mutex rather than RWMutex.  RWMutex is more
>>> complicated and therefore slower.  It's only useful to use an RWMutex
>>> when the read case is both contested and relatively slow.  If the read
>>> case is fast then the simpler Mutex will tend to be faster.  And then
>>> you don't have to worry about upgrading the lock.
>>> 
>>> Ian
>>> 
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