On Thu, Sep 4, 2014 at 3:25 PM, Bodo Kaiser wrote:
Am 04.09.2014 um 12:47 schrieb Dmitry Vyukov <dvyukov@google.com>:

On Thu, Sep 4, 2014 at 2:21 PM, Bodo Kaiser wrote:

Am 04.09.2014 um 12:11 schrieb Dmitry Vyukov <dvyukov@google.com>:

On Thu, Sep 4, 2014 at 1:57 PM, wrote:


I am wondering what the use cases of a sync.Pool could be in comparison to a
buffered channel?

The docs say that sync.Pool is used to "cache" output to stdio. I guess that
a sync.Pool may benefit here as it does not have a limit in size.

I still see two downsides on using sync.Pool over buffered channel:
1. Limiting the size via buffered channels may prevent memory problems

Pool can have arbitrary large size but at the same time do not cause
any memory problems. It is integrated with garbage collector.

2. Using select or for over a channel uses less resources then always
checking pool.Get() for non-nil values

I do not understand this.


for value := range channel {
// process value


for value := pool.Get(); value != nil; value = pool.Get() {
// Do something

This first will block until something is sent the latter always rechecks if
a resource is available.

Don't do this.


p := &sync.Pool{ New: func() *Foo { return new(Foo) } }

return p.Get().(*Foo)

But what is if New() requires some heavy computation which needs to be
executed in a go routine?

My current draft is: https://gist.github.com/bodokaiser/106a2a3019a78056b892
not sure if it works already but you get an idea.

I now don’t see any way how I could replace the in and out channels with
pools without doing:

+golang-nuts again

then don't use sync.Pool, use channels
sync.Pool is mostly for caching memory, e.g. when you need a 4K
scratch buffer for every operation

for value := pool.Get(); value != nil; value = pool.Get() {


To check for new input.

On the other side I am sure the Go devs would not have added sync.Pool if
there would be no reason. So what am I missing?

Pool is faster and more scalable.
Pool do no retain memory unnecessarily, it's flushed during garbage
Pool will autotune to required size. Consider that you have a
chan-based pool with capacity 10; if you have 20 goroutines; resources
will be constantly dropped and recreated. It won't happen with Pool.

The downside of Pool is that it can cache up to GOMAXPROCS more
objects than strictly necessary. If the objects are huge, it can be a

Do you recommend the use of sync.Pool inside a worker pool (e.g. which does
requests to a resource)?

It depends on lots of things.
The easiest way to get precise answer is to benchmark both options.
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postedSep 4, '14 at 9:58a
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