Hi Ludo, > Nice, though the slowdown on Unix-domain sockets is annoying given that > it’s the primary transport. Are the 10% significant and stable over > multiple runs? I don’t want to blind your eyes with meaningless statistics here, but let’s do this properly then. So for `guix environment guix -- true` with 10 trials these are the results: ---snip--- $ ministat -A -c 99 before_ssh after_ssh x before_ssh + after_ssh N Min Max Median Avg Stddev x 10 7.63 10.635 10.1585 9.9382 0.85517585 + 10 5.986 6.424 6.1755 6.1917 0.15398416 Difference at 99.0% confidence -3.7465 +/- 0.790815 -37.698% +/- 5.0788% (Student's t, pooled s = 0.614425) $ ministat -A -c 99 before_unix after_unix x before_unix + after_unix N Min Max Median Avg Stddev x 10 1.528 1.624 1.5445 1.5636 0.035842867 + 10 1.576 1.701 1.6145 1.6229 0.037869513 Difference at 99.0% confidence 0.0593 +/- 0.0474548 3.79253% +/- 3.08989% (Student's t, pooled s = 0.0368701) ---snap--- And the same for `guix environment --ad-hoc r-learnr`: ---snip--- $ ministat -A -c 99 before_ssh after_ssh x before_ssh + after_ssh N Min Max Median Avg Stddev x 10 20.104 21.629 21.082 21.0115 0.45142472 + 10 16.082 16.713 16.292 16.3416 0.25018224 Difference at 99.0% confidence -4.6699 +/- 0.469719 -22.2254% +/- 1.86734% (Student's t, pooled s = 0.364949) $ ministat -A -c 99 before_unix after_unix x before_unix + after_unix N Min Max Median Avg Stddev x 10 11.322 11.529 11.401 11.4127 0.062467858 + 10 11.249 11.469 11.3515 11.368 0.078689262 No difference proven at 99.0% confidence ---snap--- > Otherwise the patch LGTM as long as it doesn’t introduce any test suite > regressions. Yes, it passes the test suite. Lars