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Performance regression in v8.10 and v9.0 for Maps with object keys #19769
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Node.js v8.9.4 has V8 6.1, while Node.js v8.10.0 and v9.0.0 have V8 6.2, so it may be V8 regression. |
cc @nodejs/v8 |
This is fixed in current V8. Using our canary builds, I can say the fix is between V8 versions 6.3.292 and 6.3.296 |
Are we planning to upgrade Node.js v8.x LTS to V8 6.3? |
@vsemozhetbyt There is no plan to do it. v9.x was never upgraded to this version. This is very likely fixed by this commit: v8/v8@a803fad |
So we can only advise upgrading to Node.js v10 after the release in a month in this situation, right? |
In my machine:
So after upgrading to Node.js v10, there may be a 3x performance gain comparing to v8.9.4. |
We can try to backport the fix. I'm doing that right now. |
Original commit message: [Runtime] Use platform specific value for JSReceiver::HashMask This allows us to remove the loop while calculating the hash value and just use the HashMask as the mask for ComputeIntegerHash. This previously overflowed on 32-bit systems failing the Smi::IsValid check. Bug: v8:6404 Change-Id: I84610a7592fa9d7ce4fa5cef7903bd50b8e8a4df Reviewed-on: https://chromium-review.googlesource.com/702675 Reviewed-by: Adam Klein <adamk@chromium.org> Commit-Queue: Sathya Gunasekaran <gsathya@chromium.org> Cr-Commit-Position: refs/heads/master@{#48319} Refs: v8/v8@a4bddba PR-URL: #19770 Fixes: #19769 Reviewed-By: Ali Ijaz Sheikh <ofrobots@google.com>
Original commit message: Sprinkle some DisallowHeapAllocation Cq-Include-Trybots: master.tryserver.chromium.linux:linux_chromium_rel_ng Change-Id: I7d34ccddeea08f5935e360e8c36791365f27f89e Reviewed-on: https://chromium-review.googlesource.com/647706 Reviewed-by: Michael Lippautz <mlippautz@chromium.org> Commit-Queue: Camillo Bruni <cbruni@chromium.org> Cr-Commit-Position: refs/heads/master@{#47804} Refs: v8/v8@7abdadc PR-URL: #19770 Fixes: #19769 Reviewed-By: Ali Ijaz Sheikh <ofrobots@google.com>
Original commit message: Make sure the identity hash is uniform (at least in the lower bits). In the current implementation of hash code for objects (identity hash), we do not bother to shift the hash when we retrieve it from the hash-length bitfield in a property array. (Even worse, we store shifted value even if we do not have property array or inside dictionaries.) That means that the hash-code for objects is always divisible by 1024. Since our hash table uses a simple masking with (2^logsize - 1) to obtain the bucket, we get terrible hash collisions - essentially, our hash table degenerates to a linked list for fewer than 1024 elements. This CL always shifts the hash code so that the value in the lowest 21 bits is uniformly distributed. This results in big improvements on medium to large hash tables. A program storing 1M elements into a WeakMap gets roughly 17x faster. A program retrieving 1M elements from a Map improves even more dramatically (>100x). const a = []; for (let i = 0; i < 1e6; i++) a[i] = {}; const m = new Map(); console.time("Map.set"); for (let i = 0; i < 1e6; i++) { m.set(a[i], i); } console.timeEnd("Map.set"); console.time("Map.get"); let s = 0; for (let i = 0; i < 1e6; i++) { s += m.get(a[i]); } console.timeEnd("Map.get"); const w = new WeakMap(); console.time("WeakMap.set"); for (let i = 0; i < 1e6; i++) { w.set(a[i], i); } console.timeEnd("WeakMap.set"); Before the fix: Map.set: 157.575000 Map.get: 28333.182000 WeakMap.set: 6923.826000 After the fix: Map.set: 178.382000 Map.get: 185.930000 WeakMap.set: 409.529000 Note that Map does not suffer from the hash collision on insertion because it uses chaining (insertion into linked list is fast regardless of size!), and we cleverly avoid lookup in the hash table on update if the key does not have identity hash yet. This is in contrast to the WeakMap, which uses open-addressing, and deals with collisions on insertion. Bug: v8:6916 Change-Id: Ic5497bd4501e3b767b3f4acb7efb4784cbb3a2e4 Reviewed-on: https://chromium-review.googlesource.com/713616 Reviewed-by: Benedikt Meurer <bmeurer@chromium.org> Commit-Queue: Benedikt Meurer <bmeurer@chromium.org> Cr-Commit-Position: refs/heads/master@{#48480} Refs: v8/v8@a803fad PR-URL: #19770 Fixes: #19769 Reviewed-By: Ali Ijaz Sheikh <ofrobots@google.com>
Fix landed on |
Original commit message: [Runtime] Use platform specific value for JSReceiver::HashMask This allows us to remove the loop while calculating the hash value and just use the HashMask as the mask for ComputeIntegerHash. This previously overflowed on 32-bit systems failing the Smi::IsValid check. Bug: v8:6404 Change-Id: I84610a7592fa9d7ce4fa5cef7903bd50b8e8a4df Reviewed-on: https://chromium-review.googlesource.com/702675 Reviewed-by: Adam Klein <adamk@chromium.org> Commit-Queue: Sathya Gunasekaran <gsathya@chromium.org> Cr-Commit-Position: refs/heads/master@{#48319} PR-URL: #19824 Refs: v8/v8@a4bddba Fixes: #19769 Reviewed-By: Yang Guo <yangguo@chromium.org> Reviewed-By: Gibson Fahnestock <gibfahn@gmail.com>
Original commit message: Sprinkle some DisallowHeapAllocation Cq-Include-Trybots: master.tryserver.chromium.linux:linux_chromium_rel_ng Change-Id: I7d34ccddeea08f5935e360e8c36791365f27f89e Reviewed-on: https://chromium-review.googlesource.com/647706 Reviewed-by: Michael Lippautz <mlippautz@chromium.org> Commit-Queue: Camillo Bruni <cbruni@chromium.org> Cr-Commit-Position: refs/heads/master@{#47804} PR-URL: #19824 Refs: v8/v8@7abdadc Fixes: #19769 Reviewed-By: Yang Guo <yangguo@chromium.org> Reviewed-By: Gibson Fahnestock <gibfahn@gmail.com>
Original commit message: Make sure the identity hash is uniform (at least in the lower bits). In the current implementation of hash code for objects (identity hash), we do not bother to shift the hash when we retrieve it from the hash-length bitfield in a property array. (Even worse, we store shifted value even if we do not have property array or inside dictionaries.) That means that the hash-code for objects is always divisible by 1024. Since our hash table uses a simple masking with (2^logsize - 1) to obtain the bucket, we get terrible hash collisions - essentially, our hash table degenerates to a linked list for fewer than 1024 elements. This CL always shifts the hash code so that the value in the lowest 21 bits is uniformly distributed. This results in big improvements on medium to large hash tables. A program storing 1M elements into a WeakMap gets roughly 17x faster. A program retrieving 1M elements from a Map improves even more dramatically (>100x). const a = []; for (let i = 0; i < 1e6; i++) a[i] = {}; const m = new Map(); console.time("Map.set"); for (let i = 0; i < 1e6; i++) { m.set(a[i], i); } console.timeEnd("Map.set"); console.time("Map.get"); let s = 0; for (let i = 0; i < 1e6; i++) { s += m.get(a[i]); } console.timeEnd("Map.get"); const w = new WeakMap(); console.time("WeakMap.set"); for (let i = 0; i < 1e6; i++) { w.set(a[i], i); } console.timeEnd("WeakMap.set"); Before the fix: Map.set: 157.575000 Map.get: 28333.182000 WeakMap.set: 6923.826000 After the fix: Map.set: 178.382000 Map.get: 185.930000 WeakMap.set: 409.529000 Note that Map does not suffer from the hash collision on insertion because it uses chaining (insertion into linked list is fast regardless of size!), and we cleverly avoid lookup in the hash table on update if the key does not have identity hash yet. This is in contrast to the WeakMap, which uses open-addressing, and deals with collisions on insertion. Bug: v8:6916 Change-Id: Ic5497bd4501e3b767b3f4acb7efb4784cbb3a2e4 Reviewed-on: https://chromium-review.googlesource.com/713616 Reviewed-by: Benedikt Meurer <bmeurer@chromium.org> Commit-Queue: Benedikt Meurer <bmeurer@chromium.org> Cr-Commit-Position: refs/heads/master@{#48480} PR-URL: #19824 Refs: v8/v8@a803fad Fixes: #19769 Reviewed-By: Yang Guo <yangguo@chromium.org> Reviewed-By: Gibson Fahnestock <gibfahn@gmail.com>
Fix landed and will be available in the next release |
Hi @targos thank you for the update - do you have an ETA on the next release? Is there a place I can track this? I work on TensorFlow.js and our platform uses WeakMap for internal references to tensor data. We have a node.js binding that we plan on shipping soon, but we'd like to have the node release handy (long training loops are affected w/ this bug): https://github.com/tensorflow/tfjs-node |
Thanks for the great work @targos ! Going from the the past half year or so I presume a new release is coming between now and the coming two months or so but if anyone has a better guess I'd greatly welcome it. Good to know it'll be any 8.x release higher than 8.11.1. As described in this medium article it also affects Webpack 4 users as Webpack 4 relies on SortableSet internally. In that example switching back to Node.js 8.9.4 improved build times from 6s to 4.5s. I would imagine this changing wildly depending on your configuration but should affect all Webpack 4 users noticeably. |
According to #20478, the release will be on 2018-05-18. |
@targos Thanks, not too far off then. |
Perf regression in node 8.10.0 - see nodejs/node#19769
Upgrades to node@8.15.1 and yarn@1.13.0 to be consistent with rest of sentry Perf regression in node 8.10.0 - see nodejs/node#19769 See getsentry/sentry#12408
…1) (#12408) Perf regression in node 8.10.0 - see nodejs/node#19769
…1) (#453) Upgrades to node@8.15.1 and yarn@1.13.0 to be consistent with rest of sentry Perf regression in node 8.10.0 - see nodejs/node#19769 See getsentry/sentry#12408
Ubuntu 14.04.5 LTS (GNU/Linux 3.13.0-129-generic x86_64)
andmacOS 10.13.3 (17D102) Darwin 17.4.0
)Compared to v8.9.4 there's a major performance regression in v8.10.0 and v9.0.0 for
Map
instances that use objects as keys. The issue is making our application unacceptably slow, forcing us to downgrade.To be more specific, the
get
,set
, andhas
methods ofMap
instances with several hundred (or more) keys have become very slow when those keys are objects (and exist in the map). The performance for string and number keys (the two primitive types that I've tested) seems to be fine.Comparing run time of the script below between Node.js v8.9.4 and v8.10.0 demonstrates the problem.
The performance difference becomes more pronounced as the size of the map (
keyCount
) increases. My system produced these figures for the supplied parameters:This issue could perhaps be the cause of #19444.
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