Commit 91611df
committed
Optimize Context implementation with chunked array storage
Replace map-based and separate array-based Context storage with a
single chunked array implementation that provides significant
performance improvements over the map-based implementation across all
operations while maintaining memory efficiency through lazy allocation.
Because we're already around 50 context keys just in the main repo, the
array-based storage is essentially a dead-end and we need to be smarter
about allocations for contexts.
Chunked storage vs map storage:
- 3.1x faster context copying
- 2.5x faster random access
- 1.5x faster on all put/get operations
- Eliminates potentially megamorphic call sites by using single storage
implementation
- Scales efficiently from 1 to 1000+ keys with 32-element chunks
Benchmarks were added to compare an approximate map-based impl. vs
the chunked impl. Results as follows:
```
Benchmark Mode Cnt Score Error Units
ContextBenchmark.copyContext avgt 5 40.730 ± 2.675 ns/op
ContextBenchmark.createEmptyContext avgt 5 3.658 ± 0.045 ns/op
ContextBenchmark.getFirstKey avgt 5 1.242 ± 0.072 ns/op
ContextBenchmark.getLastKey avgt 5 1.232 ± 0.028 ns/op
ContextBenchmark.getMissingKey avgt 5 1.286 ± 0.107 ns/op
ContextBenchmark.getRandomKey avgt 5 2.483 ± 0.076 ns/op
ContextBenchmark.putMultipleKeys avgt 5 21.193 ± 0.577 ns/op
ContextBenchmark.putRandomKey avgt 5 9.911 ± 0.268 ns/op
MapBench.copyContext avgt 5 127.043 ± 0.684 ns/op
MapBench.createEmptyContext avgt 5 3.205 ± 0.120 ns/op
MapBench.getFirstKey avgt 5 1.912 ± 0.206 ns/op
MapBench.getLastKey avgt 5 3.246 ± 0.131 ns/op
MapBench.getMissingKey avgt 5 1.510 ± 0.114 ns/op
MapBench.getRandomKey avgt 5 6.334 ± 0.199 ns/op
MapBench.putMultipleKeys avgt 5 32.575 ± 0.334 ns/op
MapBench.putRandomKey avgt 5 14.882 ± 0.100 ns/op
```1 parent 487255b commit 91611df
10 files changed
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File tree
- context
- src
- jmh/java/software/amazon/smithy/java/context
- main/java/software/amazon/smithy/java/context
- test/java/software/amazon/smithy/java/context
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