This is a benchmark repository for https://github.com/redis/rueidis
Rueidis has higher throughput than go-redis v9 across 1, 8, and 64 parallelism settings.
# prepare redis servers
▶ ./redis-server --save "" --appendonly no
▶ ./redis-server --port 7001 --save "" --appendonly no --cluster-enabled yes --cluster-config-file 7001.conf
▶ ./redis-server --port 7002 --save "" --appendonly no --cluster-enabled yes --cluster-config-file 7002.conf
▶ ./redis-server --port 7003 --save "" --appendonly no --cluster-enabled yes --cluster-config-file 7003.conf
▶ ./redis-cli --cluster create 127.0.0.1:7001 127.0.0.1:7002 127.0.0.1:7003 --cluster-yes
# run the benchmark
▶ ./bench.sh
# compare the results
▶ benchstat get*
▶ benchstat set*Comparing to the go-redis baseline, rueidis can achieve about 92%, 99% and 100% reduction on sec/op, B/op and allocs/op respectively.
▶ benchstat set*
goos: darwin
goarch: arm64
pkg: rueidis-benchmark
cpu: Apple M1 Pro
│ set-1-goredis.txt │ set-2-glide.txt │ set-3-rueidis.txt │
│ sec/op │ sec/op vs base │ sec/op vs base │
/OneNode/Set-parall(0)-key(16)-val(64)-10 21.54µ ± 0% 34.20µ ± 0% +58.77% (p=0.000 n=10) 20.69µ ± 1% -3.91% (p=0.000 n=10)
/OneNode/Set-parall(0)-key(16)-val(256)-10 22.37µ ± 1% 34.86µ ± 1% +55.89% (p=0.000 n=10) 20.96µ ± 0% -6.29% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(64)-10 9.965µ ± 1% 8.310µ ± 1% -16.61% (p=0.000 n=10) 5.165µ ± 0% -48.17% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(256)-10 10.098µ ± 0% 8.435µ ± 1% -16.46% (p=0.000 n=10) 5.324µ ± 0% -47.28% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(64)-10 7.335µ ± 2% 4.244µ ± 1% -42.14% (p=0.000 n=10) 1.257µ ± 0% -82.87% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(256)-10 7.504µ ± 2% 4.430µ ± 1% -40.96% (p=0.000 n=10) 1.292µ ± 1% -82.79% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(64)-10 7357.0n ± 2% 4271.0n ± 2% -41.95% (p=0.000 n=10) 492.2n ± 1% -93.31% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(256)-10 7529.5n ± 2% 4469.0n ± 2% -40.65% (p=0.000 n=10) 624.2n ± 18% -91.71% (p=0.000 n=10)
/Cluster/Set-parall(0)-key(16)-val(64)-10 22.49µ ± 1% 37.51µ ± 0% +66.77% (p=0.000 n=10) 20.64µ ± 1% -8.21% (p=0.000 n=10)
/Cluster/Set-parall(0)-key(16)-val(256)-10 22.33µ ± 0% 38.14µ ± 0% +70.80% (p=0.000 n=10) 21.10µ ± 2% -5.52% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(64)-10 10.036µ ± 1% 9.320µ ± 0% -7.13% (p=0.000 n=10) 5.262µ ± 1% -47.57% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(256)-10 10.149µ ± 1% 9.529µ ± 1% -6.11% (p=0.000 n=10) 5.410µ ± 1% -46.69% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(64)-10 7.479µ ± 3% 5.461µ ± 1% -26.98% (p=0.000 n=10) 1.300µ ± 1% -82.62% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(256)-10 7.712µ ± 2% 5.675µ ± 1% -26.41% (p=0.000 n=10) 1.331µ ± 1% -82.75% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(64)-10 7735.5n ± 2% 5087.5n ± 1% -34.23% (p=0.000 n=10) 536.4n ± 3% -93.07% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(256)-10 7604.5n ± 4% 5296.5n ± 1% -30.35% (p=0.000 n=10) 673.4n ± 1% -91.15% (p=0.000 n=10)
geomean 10.61µ 9.309µ -12.23% 3.013µ -71.60%
│ set-1-goredis.txt │ set-2-glide.txt │ set-3-rueidis.txt │
│ B/op │ B/op vs base │ B/op vs base │
/OneNode/Set-parall(0)-key(16)-val(64)-10 266.0 ± 0% 176.0 ± 0% -33.83% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(0)-key(16)-val(256)-10 266.0 ± 0% 176.0 ± 0% -33.83% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(64)-10 267.0 ± 0% 176.0 ± 0% -34.08% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(256)-10 267.0 ± 0% 176.0 ± 0% -34.08% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(64)-10 275.0 ± 0% 176.0 ± 0% -36.00% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(256)-10 275.0 ± 0% 176.0 ± 0% -36.00% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(64)-10 280.000 ± 0% 179.000 ± 1% -36.07% (p=0.000 n=10) 1.000 ± 0% -99.64% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(256)-10 280.000 ± 0% 179.000 ± 0% -36.07% (p=0.000 n=10) 1.000 ± 0% -99.64% (p=0.000 n=10)
/Cluster/Set-parall(0)-key(16)-val(64)-10 266.0 ± 0% 176.0 ± 0% -33.83% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(0)-key(16)-val(256)-10 266.0 ± 0% 176.0 ± 0% -33.83% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(64)-10 267.0 ± 0% 176.0 ± 0% -34.08% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(256)-10 267.0 ± 0% 176.0 ± 0% -34.08% (p=0.000 n=10) 0.0 ± ? -100.00% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(64)-10 272.0 ± 0% 176.0 ± 0% -35.29% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(256)-10 272.0 ± 0% 176.0 ± 0% -35.29% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(64)-10 274.000 ± 0% 179.000 ± 1% -34.67% (p=0.000 n=10) 1.000 ± 1400% -99.64% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(256)-10 274.000 ± 0% 179.000 ± 1% -34.67% (p=0.000 n=10) 1.000 ± 0% -99.64% (p=0.000 n=10)
geomean 270.8 176.7 -34.74% ? ¹ ²
¹ summaries must be >0 to compute geomean
² ratios must be >0 to compute geomean
│ set-1-goredis.txt │ set-2-glide.txt │ set-3-rueidis.txt │
│ allocs/op │ allocs/op vs base │ allocs/op vs base │
/OneNode/Set-parall(0)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(0)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(0)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(0)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(64)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(256)-10 8.000 ± 0% 5.000 ± 0% -37.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
geomean 8.000 5.000 -37.50% ? ¹ ²
¹ summaries must be >0 to compute geomean
² ratios must be >0 to compute geomean
Comparing to the go-redis baseline, rueidis can achieve about 92%, 77% and 87% reduction on sec/op, B/op and allocs/op respectively.
With the client-side caching, rueidis can achieve about 98%, 100% and 100% reduction on sec/op, B/op and allocs/op respectively in cache hit scenario.
▶ benchstat get*
goos: darwin
goarch: arm64
pkg: rueidis-benchmark
cpu: Apple M1 Pro
│ get-1-goredis.txt │ get-2-glide.txt │ get-3-rueidis.txt │ get-4-rueidiscsc.txt │
│ sec/op │ sec/op vs base │ sec/op vs base │ sec/op vs base │
/OneNode/Get-parall(0)-key(16)-val(64)-10 21176.0n ± 1% 33966.5n ± 1% +60.40% (p=0.000 n=10) 19783.0n ± 2% -6.58% (p=0.000 n=10) 170.4n ± 33% -99.20% (p=0.000 n=10)
/OneNode/Get-parall(0)-key(16)-val(256)-10 21366.0n ± 0% 34195.5n ± 0% +60.05% (p=0.000 n=10) 20071.5n ± 2% -6.06% (p=0.000 n=10) 168.7n ± 1% -99.21% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(64)-10 9889.5n ± 1% 8314.5n ± 0% -15.93% (p=0.000 n=10) 5018.5n ± 0% -49.25% (p=0.000 n=10) 151.1n ± 8% -98.47% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(256)-10 9889.5n ± 0% 8431.0n ± 0% -14.75% (p=0.000 n=10) 5091.0n ± 0% -48.52% (p=0.000 n=10) 152.8n ± 3% -98.46% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(64)-10 7130.5n ± 1% 4323.0n ± 0% -39.37% (p=0.000 n=10) 1170.5n ± 1% -83.58% (p=0.000 n=10) 151.2n ± 2% -97.88% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(256)-10 7344.5n ± 1% 4394.5n ± 0% -40.17% (p=0.000 n=10) 1210.5n ± 1% -83.52% (p=0.000 n=10) 143.4n ± 14% -98.05% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(64)-10 7209.5n ± 3% 4375.5n ± 3% -39.31% (p=0.000 n=10) 506.3n ± 2% -92.98% (p=0.000 n=10) 143.7n ± 14% -98.01% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(256)-10 7381.0n ± 2% 4522.5n ± 2% -38.73% (p=0.000 n=10) 561.9n ± 1% -92.39% (p=0.000 n=10) 149.2n ± 7% -97.98% (p=0.000 n=10)
/Cluster/Get-parall(0)-key(16)-val(64)-10 21808.5n ± 0% 37371.5n ± 0% +71.36% (p=0.000 n=10) 20367.5n ± 2% -6.61% (p=0.000 n=10) 178.1n ± 1% -99.18% (p=0.000 n=10)
/Cluster/Get-parall(0)-key(16)-val(256)-10 22117.5n ± 0% 37584.5n ± 0% +69.93% (p=0.000 n=10) 20628.0n ± 0% -6.73% (p=0.000 n=10) 178.6n ± 1% -99.19% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(64)-10 9945.0n ± 1% 9331.0n ± 0% -6.17% (p=0.000 n=10) 5142.0n ± 0% -48.30% (p=0.000 n=10) 170.2n ± 2% -98.29% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(256)-10 9960.5n ± 0% 9418.5n ± 0% -5.44% (p=0.000 n=10) 5202.0n ± 0% -47.77% (p=0.000 n=10) 166.1n ± 2% -98.33% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(64)-10 7430.5n ± 1% 5545.0n ± 1% -25.38% (p=0.000 n=10) 1213.5n ± 1% -83.67% (p=0.000 n=10) 163.2n ± 2% -97.80% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(256)-10 7561.5n ± 2% 5598.0n ± 0% -25.97% (p=0.000 n=10) 1240.0n ± 1% -83.60% (p=0.000 n=10) 163.2n ± 3% -97.84% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(64)-10 7444.0n ± 2% 5202.0n ± 2% -30.12% (p=0.000 n=10) 530.9n ± 3% -92.87% (p=0.000 n=10) 164.4n ± 2% -97.79% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(256)-10 7631.5n ± 2% 5239.0n ± 1% -31.35% (p=0.000 n=10) 557.6n ± 2% -92.69% (p=0.000 n=10) 163.2n ± 1% -97.86% (p=0.000 n=10)
geomean 10.40µ 9.312µ -10.48% 2.864µ -72.47% 160.7n -98.46%
│ get-1-goredis.txt │ get-2-glide.txt │ get-3-rueidis.txt │ get-4-rueidiscsc.txt │
│ B/op │ B/op vs base │ B/op vs base │ B/op vs base │
/OneNode/Get-parall(0)-key(16)-val(64)-10 280.00 ± 0% 288.00 ± 0% +2.86% (p=0.000 n=10) 64.00 ± 0% -77.14% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(0)-key(16)-val(256)-10 488.0 ± 0% 672.0 ± 0% +37.70% (p=0.000 n=10) 256.0 ± 0% -47.54% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(64)-10 281.00 ± 0% 288.00 ± 0% +2.49% (p=0.000 n=10) 64.00 ± 0% -77.22% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(256)-10 489.0 ± 0% 672.0 ± 0% +37.42% (p=0.000 n=10) 256.0 ± 0% -47.65% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(64)-10 289.00 ± 0% 288.00 ± 0% -0.35% (p=0.000 n=10) 64.00 ± 0% -77.85% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(256)-10 497.0 ± 0% 673.0 ± 0% +35.41% (p=0.000 n=10) 256.0 ± 0% -48.49% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(64)-10 294.0000 ± 0% 291.0000 ± 0% -1.02% (p=0.000 n=10) 65.0000 ± 0% -77.89% (p=0.000 n=10) 0.5000 ± ? -99.83% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(256)-10 502.0 ± 0% 676.0 ± 0% +34.66% (p=0.000 n=10) 257.0 ± 0% -48.80% (p=0.000 n=10) 0.0 ± ? -100.00% (p=0.000 n=10)
/Cluster/Get-parall(0)-key(16)-val(64)-10 280.00 ± 0% 288.00 ± 0% +2.86% (p=0.000 n=10) 64.00 ± 0% -77.14% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(0)-key(16)-val(256)-10 488.0 ± 0% 672.0 ± 0% +37.70% (p=0.000 n=10) 256.0 ± 0% -47.54% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(64)-10 281.00 ± 0% 288.00 ± 0% +2.49% (p=0.000 n=10) 64.00 ± 0% -77.22% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(256)-10 489.0 ± 0% 672.0 ± 0% +37.42% (p=0.000 n=10) 256.0 ± 0% -47.65% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(64)-10 286.00 ± 0% 288.00 ± 0% +0.70% (p=0.000 n=10) 64.00 ± 0% -77.62% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(256)-10 495.0 ± 0% 672.0 ± 0% +35.76% (p=0.000 n=10) 256.0 ± 0% -48.28% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(64)-10 288.00 ± 0% 290.50 ± 0% +0.87% (p=0.000 n=10) 65.00 ± 0% -77.43% (p=0.000 n=10) 0.00 ± ? -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(256)-10 497.0 ± 0% 675.0 ± 0% +35.81% (p=0.000 n=10) 257.0 ± 0% -48.29% (p=0.000 n=10) 0.0 ± ? -100.00% (p=0.000 n=10)
geomean 374.8 440.8 +17.61% 128.3 -65.76% ? ¹ ²
¹ summaries must be >0 to compute geomean
² ratios must be >0 to compute geomean
│ get-1-goredis.txt │ get-2-glide.txt │ get-3-rueidis.txt │ get-4-rueidiscsc.txt │
│ allocs/op │ allocs/op vs base │ allocs/op vs base │ allocs/op vs base │
/OneNode/Get-parall(0)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(0)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(0)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(0)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(64)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(256)-10 7.000 ± 0% 7.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% -85.71% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
geomean 7.000 7.000 +0.00% 1.000 -85.71% ? ² ³
¹ all samples are equal
² summaries must be >0 to compute geomean
³ ratios must be >0 to compute geomean