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Add BatchPreload to decode slabs in parallel and cache #404
Add BatchPreload to decode slabs in parallel and cache #404
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The intended use for BatchPreload is to speedup migrations. BatchPreload decodes slabs in parallel and stores decoded slabs in cache for later retrieval. This is useful for migration program when most or all slabs are expected to be migrated. │ before.txt │ after.txt │ │ sec/op │ sec/op vs base │ StorageRetrieve/10-12 36.23µ ± 3% 35.33µ ± 4% ~ (p=0.075 n=10) StorageRetrieve/100-12 469.6µ ± 8% 124.3µ ± 0% -73.52% (p=0.000 n=10) StorageRetrieve/1000-12 6.678m ± 7% 2.303m ± 20% -65.51% (p=0.000 n=10) StorageRetrieve/10000-12 29.81m ± 2% 12.26m ± 5% -58.86% (p=0.000 n=10) StorageRetrieve/100000-12 303.33m ± 1% 88.40m ± 1% -70.86% (p=0.000 n=10) StorageRetrieve/1000000-12 3.442 ± 1% 1.137 ± 3% -66.96% (p=0.000 n=10) geomean 12.34m 4.816m -60.98% │ before.txt │ after.txt │ │ B/op │ B/op vs base │ StorageRetrieve/10-12 21.59Ki ± 0% 21.59Ki ± 0% ~ (p=1.000 n=10) StorageRetrieve/100-12 219.8Ki ± 0% 224.7Ki ± 0% +2.24% (p=0.000 n=10) StorageRetrieve/1000-12 2.266Mi ± 0% 2.272Mi ± 0% +0.27% (p=0.000 n=10) StorageRetrieve/10000-12 21.94Mi ± 0% 22.14Mi ± 0% +0.91% (p=0.000 n=10) StorageRetrieve/100000-12 215.3Mi ± 0% 218.5Mi ± 0% +1.50% (p=0.000 n=10) StorageRetrieve/1000000-12 2.211Gi ± 0% 2.212Gi ± 0% +0.05% (p=0.000 n=10) geomean 6.919Mi 6.976Mi +0.82% │ before.txt │ after.txt │ │ allocs/op │ allocs/op vs base │ StorageRetrieve/10-12 76.00 ± 0% 76.00 ± 0% ~ (p=1.000 n=10) ¹ StorageRetrieve/100-12 745.0 ± 0% 759.0 ± 0% +1.88% (p=0.000 n=10) StorageRetrieve/1000-12 7.161k ± 0% 7.153k ± 0% -0.11% (p=0.000 n=10) StorageRetrieve/10000-12 70.77k ± 0% 70.58k ± 0% -0.27% (p=0.000 n=10) StorageRetrieve/100000-12 711.9k ± 0% 709.7k ± 0% -0.31% (p=0.000 n=10) StorageRetrieve/1000000-12 7.115M ± 0% 7.077M ± 0% -0.54% (p=0.000 n=10) geomean 22.93k 22.95k +0.11%
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Looks like validation and storage health checks passed tonight with this PR added to atree migration program at:
Need to take another look at logs to confirm. |
@ramtinms @turbolent PTAL 🙏 |
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Looks good to me, only consideration is maybe just add some comments or warning about when to use this method.
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Great idea and nice work! 👏
@fxamacker Does this also have to get ported to the 1.0 branch? |
@turbolent I will port it for completeness, but it is only needed if we use the optimization for Cadence 1.0 migration without atree inlining. |
Updates #394
This PR adds
BatchPreload
which decodes slabs in parallel and stores decoded slabs in cache for later retrieval.Migration benchmark (not available yet) will use https://github.com/onflow/flow-go/tree/feature/atree-inlining-cadence-v0.42
Casual microbenchmark (on my busy desktop):
main
branchFiles changed
in the Github PR explorer