From 011d6de59b4679a99d31a14b454a24ac982b3b8f Mon Sep 17 00:00:00 2001 From: unadlib Date: Fri, 27 Sep 2024 02:02:56 +0800 Subject: [PATCH] docs(benchmark): update benchmark data --- README.md | 2 +- website/blog/releases/1.0/img/benchmark.jpg | Bin 46449 -> 46391 bytes website/blog/releases/1.0/index.md | 22 +++++++++--------- .../extra-topics/comparison-with-immer.md | 22 +++++++++--------- website/docs/extra-topics/img/benchmark.jpg | Bin 46449 -> 46391 bytes .../docs/getting-started/img/benchmark.jpg | Bin 46449 -> 46391 bytes website/docs/getting-started/performance.md | 22 +++++++++--------- 7 files changed, 34 insertions(+), 34 deletions(-) diff --git a/README.md b/README.md index e3b369d..e0c8783 100644 --- a/README.md +++ b/README.md @@ -110,7 +110,7 @@ Mutative is up to 6x faster than naive handcrafted reducer for updating immutabl > Mutative passed all of Immer's test cases. -Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). [Mutative v1.0.10 vs Immer v10.1.1] +Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). 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better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). [Mutative v1.0.10 vs Immer v10.1.1] +Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). [Mutative v1.0.11 vs Immer v10.1.1] ![Benchmark](img/benchmark.jpg) ``` -Naive handcrafted reducer - No Freeze x 4,486 ops/sec ±0.85% (98 runs sampled) -Mutative - No Freeze x 6,338 ops/sec ±1.14% (93 runs sampled) -Immer - No Freeze x 5.32 ops/sec ±0.43% (18 runs sampled) +Naive handcrafted reducer - No Freeze x 4,469 ops/sec ±0.82% (99 runs sampled) +Mutative - No Freeze x 6,015 ops/sec ±1.17% (94 runs sampled) +Immer - No Freeze x 5.36 ops/sec ±0.28% (18 runs sampled) -Mutative - Freeze x 969 ops/sec ±1.02% (98 runs sampled) -Immer - Freeze x 383 ops/sec ±0.44% (94 runs sampled) +Mutative - Freeze x 959 ops/sec ±0.90% (99 runs sampled) +Immer - Freeze x 382 ops/sec ±0.53% (94 runs sampled) -Mutative - Patches and No Freeze x 978 ops/sec ±0.22% (97 runs sampled) -Immer - Patches and No Freeze x 5.32 ops/sec ±0.54% (18 runs sampled) +Mutative - Patches and No Freeze x 970 ops/sec ±0.99% (96 runs sampled) +Immer - Patches and No Freeze x 5.22 ops/sec ±0.80% (18 runs sampled) -Mutative - Patches and Freeze x 507 ops/sec ±0.28% (97 runs sampled) -Immer - Patches and Freeze x 279 ops/sec ±0.76% (91 runs sampled) +Mutative - Patches and Freeze x 505 ops/sec ±0.85% (93 runs sampled) +Immer - Patches and Freeze x 275 ops/sec ±0.49% (89 runs sampled) The fastest method is Mutative - No Freeze ``` @@ -121,7 +121,7 @@ Run `yarn benchmark` to measure performance. Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x. -So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,338 ops/sec`) and Immer (`383 ops/sec`). +So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,015 ops/sec`) and Immer (`382 ops/sec`). Overall, Mutative has a huge performance lead over Immer in [more performance testing scenarios](https://github.com/unadlib/mutative/tree/main/test/performance). diff --git a/website/docs/extra-topics/comparison-with-immer.md b/website/docs/extra-topics/comparison-with-immer.md index 5ba7424..e19ae6b 100644 --- a/website/docs/extra-topics/comparison-with-immer.md +++ b/website/docs/extra-topics/comparison-with-immer.md @@ -25,23 +25,23 @@ Mutative has fewer bugs such as accidental draft escapes than Immer, [view detai > Mutative passed all of Immer's test cases. -Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). [Mutative v1.0.10 vs Immer v10.1.1] +Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). [Mutative v1.0.11 vs Immer v10.1.1] ![Benchmark](img/benchmark.jpg) ``` -Naive handcrafted reducer - No Freeze x 4,486 ops/sec ±0.85% (98 runs sampled) -Mutative - No Freeze x 6,338 ops/sec ±1.14% (93 runs sampled) -Immer - No Freeze x 5.32 ops/sec ±0.43% (18 runs sampled) +Naive handcrafted reducer - No Freeze x 4,469 ops/sec ±0.82% (99 runs sampled) +Mutative - No Freeze x 6,015 ops/sec ±1.17% (94 runs sampled) +Immer - No Freeze x 5.36 ops/sec ±0.28% (18 runs sampled) -Mutative - Freeze x 969 ops/sec ±1.02% (98 runs sampled) -Immer - Freeze x 383 ops/sec ±0.44% (94 runs sampled) +Mutative - Freeze x 959 ops/sec ±0.90% (99 runs sampled) +Immer - Freeze x 382 ops/sec ±0.53% (94 runs sampled) -Mutative - Patches and No Freeze x 978 ops/sec ±0.22% (97 runs sampled) -Immer - Patches and No Freeze x 5.32 ops/sec ±0.54% (18 runs sampled) +Mutative - Patches and No Freeze x 970 ops/sec ±0.99% (96 runs sampled) +Immer - Patches and No Freeze x 5.22 ops/sec ±0.80% (18 runs sampled) -Mutative - Patches and Freeze x 507 ops/sec ±0.28% (97 runs sampled) -Immer - Patches and Freeze x 279 ops/sec ±0.76% (91 runs sampled) +Mutative - Patches and Freeze x 505 ops/sec ±0.85% (93 runs sampled) +Immer - Patches and Freeze x 275 ops/sec ±0.49% (89 runs sampled) The fastest method is Mutative - No Freeze ``` @@ -52,7 +52,7 @@ Run `yarn benchmark` to measure performance. Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x. -So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,338 ops/sec`) and Immer (`383 ops/sec`). +So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,015 ops/sec`) and Immer (`382 ops/sec`). Overall, Mutative has a huge performance lead over Immer in [more performance testing scenarios](https://github.com/unadlib/mutative/tree/main/test/performance). 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a/website/docs/getting-started/performance.md b/website/docs/getting-started/performance.md index 3b1540d..c9a50bd 100644 --- a/website/docs/getting-started/performance.md +++ b/website/docs/getting-started/performance.md @@ -82,23 +82,23 @@ const state = create(baseState, (draft) => { > Mutative passed all of Immer's test cases. -Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). [Mutative v1.0.10 vs Immer v10.1.1] +Measure(ops/sec) to update 50K arrays and 1K objects, bigger is better([view source](https://github.com/unadlib/mutative/blob/main/test/performance/benchmark.ts)). [Mutative v1.0.11 vs Immer v10.1.1] ![Benchmark](img/benchmark.jpg) ``` -Naive handcrafted reducer - No Freeze x 4,486 ops/sec ±0.85% (98 runs sampled) -Mutative - No Freeze x 6,338 ops/sec ±1.14% (93 runs sampled) -Immer - No Freeze x 5.32 ops/sec ±0.43% (18 runs sampled) +Naive handcrafted reducer - No Freeze x 4,469 ops/sec ±0.82% (99 runs sampled) +Mutative - No Freeze x 6,015 ops/sec ±1.17% (94 runs sampled) +Immer - No Freeze x 5.36 ops/sec ±0.28% (18 runs sampled) -Mutative - Freeze x 969 ops/sec ±1.02% (98 runs sampled) -Immer - Freeze x 383 ops/sec ±0.44% (94 runs sampled) +Mutative - Freeze x 959 ops/sec ±0.90% (99 runs sampled) +Immer - Freeze x 382 ops/sec ±0.53% (94 runs sampled) -Mutative - Patches and No Freeze x 978 ops/sec ±0.22% (97 runs sampled) -Immer - Patches and No Freeze x 5.32 ops/sec ±0.54% (18 runs sampled) +Mutative - Patches and No Freeze x 970 ops/sec ±0.99% (96 runs sampled) +Immer - Patches and No Freeze x 5.22 ops/sec ±0.80% (18 runs sampled) -Mutative - Patches and Freeze x 507 ops/sec ±0.28% (97 runs sampled) -Immer - Patches and Freeze x 279 ops/sec ±0.76% (91 runs sampled) +Mutative - Patches and Freeze x 505 ops/sec ±0.85% (93 runs sampled) +Immer - Patches and Freeze x 275 ops/sec ±0.49% (89 runs sampled) The fastest method is Mutative - No Freeze ``` @@ -109,7 +109,7 @@ Run `yarn benchmark` to measure performance. Immer relies on auto-freeze to be enabled, if auto-freeze is disabled, Immer will have a huge performance drop and Mutative will have a huge performance lead, especially with large data structures it will have a performance lead of more than 50x. -So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,338 ops/sec`) and Immer (`383 ops/sec`). +So if you are using Immer, you will have to enable auto-freeze for performance. Mutative is disabled auto-freeze by default. With the default configuration of both, we can see the 16x performance gap between Mutative (`6,015 ops/sec`) and Immer (`382 ops/sec`). Overall, Mutative has a huge performance lead over Immer in [more performance testing scenarios](https://github.com/unadlib/mutative/tree/main/test/performance). Run `yarn performance` to get all the performance results locally.