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Trying different approaches, such as exposing tapes (#34)
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I have just updated it, @nojvek, thanks for letting me know!
See that even with that, I get:
apache_builds.json#simdjson x 4,463 ops/sec ±9.84% (68 runs sampled) => 0.224ms
apache_builds.json#JSON x 1,153 ops/sec ±34.30% (73 runs sampled) => 0.867ms
canada.json#simdjson x 149 ops/sec ±0.87% (76 runs sampled) => 6.715ms
canada.json#JSON x 40.26 ops/sec ±1.41% (51 runs sampled) => 24.836ms
citm_catalog.json#simdjson x 132 ops/sec ±0.50% (83 runs sampled) => 7.563ms
citm_catalog.json#JSON x 46.54 ops/sec ±11.28% (61 runs sampled) => 21.489ms
github_events.json#simdjson x 3,252 ops/sec ±0.57% (93 runs sampled) => 0.307ms
github_events.json#JSON x 1,362 ops/sec ±0.62% (92 runs sampled) => 0.734ms
gsoc_2018.json#simdjson x 156 ops/sec ±17.95% (57 runs sampled) => 6.404ms
gsoc_2018.json#JSON x 50.03 ops/sec ±7.30% (57 runs sampled) => 19.988ms
instruments.json#simdjson x 2,923 ops/sec ±1.56% (85 runs sampled) => 0.342ms
instruments.json#JSON x 901 ops/sec ±24.13% (78 runs sampled) => 1.109ms
marine_ik.json#simdjson x 103 ops/sec ±0.41% (75 runs sampled) => 9.674ms
marine_ik.json#JSON x 41.30 ops/sec ±1.16% (49 runs sampled) => 24.215ms
mesh_pretty.json#simdjson x 354 ops/sec ±1.57% (84 runs sampled) => 2.828ms
mesh_pretty.json#JSON x 135 ops/sec ±0.93% (81 runs sampled) => 7.430ms
mesh.json#simdjson x 520 ops/sec ±1.39% (78 runs sampled) => 1.925ms
mesh.json#JSON x 162 ops/sec ±20.42% (71 runs sampled) => 6.170ms
numbers.json#simdjson x 3,138 ops/sec ±0.63% (93 runs sampled) => 0.319ms
numbers.json#JSON x 884 ops/sec ±0.83% (90 runs sampled) => 1.131ms
random.json#simdjson x 374 ops/sec ±0.67% (83 runs sampled) => 2.671ms
random.json#JSON x 111 ops/sec ±2.27% (69 runs sampled) => 8.971ms
sf_citylots.json#simdjson x 1.13 ops/sec ±7.86% (7 runs sampled) => 884.743ms
sf_citylots.json#JSON x 0.44 ops/sec ±4.74% (6 runs sampled) => 2260.015ms
twitter.json#simdjson x 335 ops/sec ±1.05% (89 runs sampled) => 2.982ms
twitter.json#JSON x 99.33 ops/sec ±2.01% (73 runs sampled) => 10.067ms
twitterescaped.json#simdjson x 766 ops/sec ±7.44% (75 runs sampled) => 1.305ms
twitterescaped.json#JSON x 196 ops/sec ±35.87% (61 runs sampled) => 5.097ms
update_center.json#simdjson x 382 ops/sec ±0.82% (88 runs sampled) => 2.616ms
update_center.json#JSON x 115 ops/sec ±9.43% (69 runs sampled) => 8.692ms
Like I said,
External
seems to have a better performance