rishabhdaim commented on PR #2898:
URL: https://github.com/apache/jackrabbit-oak/pull/2898#issuecomment-4443924615
Result is :
`SegmentCachePolicyBenchmark` cacheCapacity~=1000 pool=10000 zipf=1.0
- Scenario A: Zipfian steady-state (AbstractTest timed run) ---
> CAFFEINE miss%= 26.0 hits=2,068,329 misses= 727,671 evictions=
726,671 evict%= 26.0
> LIRS miss%= 27.1 hits=2,038,869 misses= 757,131
evictions=1,511,455 evict%= 54.1
> GUAVA miss%= 32.5 hits=1,888,396 misses= 907,604 evictions=
906,604 evict%= 32.4
- Scenario B: scan (50,000 segs) then Zipfian (warmup=20,000
measure=200,000 ops) ---
> CAFFEINE miss%= 26.7 hits= 146,553 misses= 53,447 evictions=
53,447 evict%= 26.7
> LIRS miss%= 27.0 hits= 146,063 misses= 53,937 evictions=
107,873 evict%= 53.9
> GUAVA miss%= 32.4 hits= 135,119 misses= 64,881 evictions=
64,881 evict%= 32.4
- Scenario C: cold-start regression (scan=9,000 working-set=3,000
measure=100,000 ops) ---
scan fills TinyLFU sketch at freq=1; working-set entries start at freq=0
> CAFFEINE miss%= 66.9 hits= 33,060 misses= 66,940 evictions=
66,940 evict%= 66.9
> LIRS miss%= 67.8 hits= 32,187 misses= 67,813 evictions=
135,918 evict%=135.9
> GUAVA miss%= 67.1 hits= 32,947 misses= 67,053 evictions=
67,053 evict%= 67.1
--- Scenario D: uniform random / cache thrash (pool=25,000 = ~25x cache
measure=200,000 ops) ---
no hot data — uniform access over pool 25x cache; expected miss ~95%%
> CAFFEINE miss%= 96.0 hits= 8,043 misses= 191,957 evictions=
191,957 evict%= 96.0
> LIRS miss%= 96.1 hits= 7,866 misses= 192,134 evictions=
384,291 evict%=192.1
> GUAVA miss%= 96.0 hits= 7,972 misses= 192,028 evictions=
192,028 evict%= 96.0
So caffeine is efficient than Guava/CacheLIRS is all scenarios.
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