Re: [PATCH v3 3/3] index-pack: support multithreaded delta resolving
- From
Junio C Hamano <gitster@pobox.com>
- Date
- May 3, 2012, 22:10 UTC
- Message-ID
- <7v62ccex0x.fsf@alter.siamese.dyndns.org>
- In-Reply-To
- <1334123388-6083-4-git-send-email-pclouds@gmail.com>
Nguyễn Thái Ngọc Duy <pclouds@gmail.com> writes:
Show 31 quoted lines
> @@ -696,7 +796,31 @@ static void second_pass(struct object_entry *obj)
> base_obj->obj = obj;
> base_obj->data = NULL;
> find_unresolved_deltas(base_obj);
> - display_progress(progress, nr_resolved_deltas);
> +}
> +
> +static void *threaded_second_pass(void *arg)
> +{
> +#ifndef NO_PTHREADS
> + if (threads_active)
> + pthread_setspecific(key, arg);
> +#endif
> + for (;;) {
> + int i;
> + work_lock();
> + display_progress(progress, nr_resolved_deltas);
> + while (nr_processed < nr_objects &&
> + is_delta_type(objects[nr_processed].type))
> + nr_processed++;
> + if (nr_processed >= nr_objects) {
> + work_unlock();
> + break;
> + }
> + i = nr_processed++;
> + work_unlock();
> +
> + second_pass(&objects[i]);
> + }
> + return NULL;
> }It may be just the matter of naming, but the above is taking the abstraction backwards, I think. Shouldn't it be structured in such a way that the caller may call second_pass() and its implementation may turn out to be threaded (or not)?
The naming of "arg" made things worse. I wasted 5 minutes scratching my head thinking "arg" was a single specific object that was to be given to second_pass(), and wondered why it is made into thread-local data. Name it "thread_data" or something.
And I think the root cause of this confusion is the way "second_pass" was split out in the earlier patch. It is not the entire second-pass, but is merely a single step of it (the whole "for (i = 0; i < nr_objects; i++)" is the second-pass, in other words), and its implementation detail might change to either thread (i.e. instead of a single line of control iterating from 0 to nr_objects, each thread grab the next available task and work on it until everything is exhausted) or not.
By the way, if one object is very heavy and takes a lot of time until completion, could it be possible that objects[0] is still being processed for its base data but objects[1] has already completed and an available thread could work on objects[2]? How does it learn to process objects[2] in such a case, or does it wait until the thread working on objects[0] is done?