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Re: [PATCH 1/4] run-command: add pipe_output to run_processes_parallel

From
Junio C Hamano <gitster@pobox.com>
Date
Sep 23, 2022, 18:58 UTC
Message-ID
<xmqqy1u9uddc.fsf@gitster.g>
In-Reply-To
<20220922232947.631309-2-calvinwan@google.com>
Calvin Wan <calvinwan@google.com> writes:
Show 5 quoted lines
> run_processes_parallel periodically collects output from its child
> processes, prints it, and then resets the buffers for each child.
> Add run_processes_parallel_pipe_output variable so output can be
> collected and fed to task_finished. When set, the function referenced
> by task_finished should parse the output of each child process.
I am puzzled.
 * Why are we configuring an API behaviour via a global variable in
   21st century?
 * The name "task_finished" is mentioned, but it is unclear what it
   is.  Is it one of the parameters to run_process_parallel()?
 * Is the effect of the new feature that task_finished callback is
   called with the output, in addition to the normal output?  I am
   not sure why it is called "pipe".  The task_finished callback may
   be free to fork a child and send the received output from the
   task to that child over the pipe, but that is what a client code
   could do and is inappropriate to base the name of the mechanism,
   isn't it?
Show 20 quoted lines
> @@ -1770,10 +1771,12 @@ int run_processes_parallel(int n,
>  	int output_timeout = 100;
>  	int spawn_cap = 4;
>  	int ungroup = run_processes_parallel_ungroup;
> +	int pipe_output = run_processes_parallel_pipe_output;
>  	struct parallel_processes pp;
>  
>  	/* unset for the next API user */
>  	run_processes_parallel_ungroup = 0;
> +	run_processes_parallel_pipe_output = 0;
>  
>  	pp_init(&pp, n, get_next_task, start_failure, task_finished, pp_cb,
>  		ungroup);
> @@ -1800,7 +1803,8 @@ int run_processes_parallel(int n,
>  				pp.children[i].state = GIT_CP_WAIT_CLEANUP;
>  		} else {
>  			pp_buffer_stderr(&pp, output_timeout);
> -			pp_output(&pp);
> +			if (!pipe_output)
> +				pp_output(&pp);

So, we do not send the output from the child to the regular output channel when pipe_output is in effect. OK.

>  		}
>  		code = pp_collect_finished(&pp);
>  		if (code) {

And no other code changes? This is quite different from what I expected from reading the proposed log message.

Am I correct to say that under this new mode, we no longer flush any output while the child task is running (due to the change in the above hunk to omit calls to pp_output() during the run) and instead keep accumulating in the strbuf, until the child task finishes, at which time pp_collect_finished() will call task_finished callback.

Even though the callback usually consumes the last piece of the output since the last pp_output() call made during the normal execution of the run_processes_parallel() loop, because we omitted these calls, we have full output from the child task accumulated in the children[].err strbuf. We may still not output .err for real, as we may not be the output_owner, in which case we may only append to .buffered_output member.

I am puzzled simply because, if the above summary is correct, I do not see how a word "pipe" have a chance to come into the picture.

I can sort of see that in this mode, we would end up buffering the entire output from each child task into one strbuf each, and can avoid stalling the child tasks waiting for their turn to see their output pipes drained. But is this a reasonable thing to do? How do we control the memory consumption to avoid having to spool unbounded amount of output from child tasks in core, or do we have a good reason to believe that we do not have to bother?

Thanks.
Previous: Ævar Arnfjörð BjarmasonNext: Calvin Wan
Message 6 of 32 in “submodule: parallelize status”
  1. 0/4 submodule: parallelize statusCalvin Wan, Sep 22, 2022
  2. 1/4 run-command: add pipe_output to run_processes_parallelCalvin Wan, Sep 22, 2022
  3. Ævar Arnfjörð BjarmasonSep 23, 2022
  4. Calvin WanSep 26, 2022
  5. Ævar Arnfjörð BjarmasonSep 27, 2022
  6. Junio C HamanoSep 23, 2022
  7. Calvin WanSep 26, 2022
  8. Junio C HamanoSep 27, 2022
  9. Calvin WanSep 27, 2022
  10. Junio C HamanoSep 27, 2022
  11. Ævar Arnfjörð BjarmasonSep 27, 2022
  12. Calvin WanSep 27, 2022
  13. Ævar Arnfjörð BjarmasonSep 27, 2022
  14. Calvin WanSep 27, 2022
  15. Ævar Arnfjörð BjarmasonSep 28, 2022
  16. Calvin WanSep 29, 2022
  17. 2/4 submodule: move status parsing into functionCalvin Wan, Sep 22, 2022
  18. 3/4 diff-lib: refactor functionsCalvin Wan, Sep 22, 2022
  19. Junio C HamanoSep 23, 2022
  20. Calvin WanSep 26, 2022
  21. 4/4 diff-lib: parallelize run_diff_files for submodulesCalvin Wan, Sep 22, 2022
  22. Ævar Arnfjörð BjarmasonSep 23, 2022
  23. Junio C HamanoSep 24, 2022
  24. Calvin WanSep 26, 2022
  25. Junio C HamanoSep 23, 2022
  26. Calvin WanSep 26, 2022
  27. Phillip WoodSep 25, 2022
  28. Junio C HamanoSep 26, 2022
  29. Calvin WanSep 26, 2022
  30. Emily ShafferSep 27, 2022
  31. Junio C HamanoSep 23, 2022
  32. Calvin WanSep 26, 2022

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