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(1)-key(16)-val(64)-10 10.993µ ± 1% 8.639µ ± 0% -21.41% (p=0.000 n=10) 5.585µ ± 1% -49.20% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(256)-10 11.208µ ± 1% 8.835µ ± 3% -21.18% (p=0.000 n=10) 5.741µ ± 1% -48.78% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(64)-10 8.071µ ± 1% 4.717µ ± 1% -41.55% (p=0.000 n=10) 1.362µ ± 1% -83.12% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(256)-10 8.236µ ± 1% 4.944µ ± 1% -39.97% (p=0.000 n=10) 1.399µ ± 1% -83.01% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(64)-10 7964.0n ± 1% 4751.5n ± 1% -40.34% (p=0.000 n=10) 562.4n ± 3% -92.94% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(256)-10 8103.0n ± 3% 5020.5n ± 1% -38.04% (p=0.000 n=10) 624.3n ± 1% -92.30% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(64)-10 11.052µ ± 1% 9.932µ ± 0% -10.14% (p=0.000 n=10) 5.693µ ± 1% -48.49% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(256)-10 11.165µ ± 0% 10.134µ ± 0% -9.23% (p=0.000 n=10) 5.829µ ± 1% -47.79% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(64)-10 8.486µ ± 1% 6.314µ ± 1% -25.60% (p=0.000 n=10) 1.410µ ± 2% -83.38% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(256)-10 8.674µ ± 1% 6.655µ ± 1% -23.28% (p=0.000 n=10) 1.432µ ± 1% -83.50% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(64)-10 8493.5n ± 1% 6156.5n ± 2% -27.52% (p=0.000 n=10) 592.4n ± 3% -93.03% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(256)-10 8662.5n ± 1% 6495.5n ± 2% -25.02% (p=0.000 n=10) 674.4n ± 3% -92.21% (p=0.000 n=10)
geomean 9.169µ 6.627µ -27.72% 1.698µ -81.48%
│ 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(1)-key(16)-val(64)-10 273.0 ± 0% 156.0 ± 0% -42.86% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(256)-10 273.0 ± 0% 156.0 ± 0% -42.86% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(64)-10 281.0 ± 0% 156.0 ± 0% -44.48% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(256)-10 281.0 ± 0% 156.0 ± 0% -44.48% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(64)-10 286.000 ± 0% 157.000 ± 0% -45.10% (p=0.000 n=10) 1.000 ± 0% -99.65% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(256)-10 286.000 ± 0% 157.000 ± 0% -45.10% (p=0.000 n=10) 1.000 ± 0% -99.65% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(64)-10 273.0 ± 0% 156.0 ± 0% -42.86% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(256)-10 273.0 ± 0% 156.0 ± 0% -42.86% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(64)-10 278.000 ± 0% 156.000 ± 0% -43.88% (p=0.000 n=10) 7.000 ± ? -97.48% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(256)-10 278.0 ± 0% 156.0 ± 0% -43.88% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(64)-10 280.000 ± 0% 157.000 ± 0% -43.93% (p=0.000 n=10) 1.000 ± 0% -99.64% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(256)-10 280.000 ± 0% 157.000 ± 0% -43.93% (p=0.000 n=10) 1.000 ± 0% -99.64% (p=0.000 n=10)
geomean 278.5 156.3 -43.86% ? 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(1)-key(16)-val(64)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(1)-key(16)-val(256)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(64)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(8)-key(16)-val(256)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(64)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Set-parall(64)-key(16)-val(256)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(64)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(1)-key(16)-val(256)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(64)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(8)-key(16)-val(256)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(64)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Set-parall(64)-key(16)-val(256)-10 9.000 ± 0% 6.000 ± 0% -33.33% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
geomean 9.000 6.000 -33.33% ? 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(1)-key(16)-val(64)-10 11041.0n ± 1% 8612.0n ± 0% -22.00% (p=0.000 n=10) 5465.5n ± 1% -50.50% (p=0.000 n=10) 156.9n ± 4% -98.58% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(256)-10 11066.5n ± 1% 8753.5n ± 1% -20.90% (p=0.000 n=10) 5532.0n ± 1% -50.01% (p=0.000 n=10) 154.4n ± 3% -98.60% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(64)-10 8043.5n ± 1% 4692.5n ± 2% -41.66% (p=0.000 n=10) 1307.0n ± 2% -83.75% (p=0.000 n=10) 156.3n ± 2% -98.06% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(256)-10 8211.0n ± 1% 4747.5n ± 2% -42.18% (p=0.000 n=10) 1337.0n ± 1% -83.72% (p=0.000 n=10) 155.1n ± 3% -98.11% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(64)-10 7153.0n ± 2% 4792.5n ± 1% -33.00% (p=0.000 n=10) 585.9n ± 2% -91.81% (p=0.000 n=10) 158.0n ± 3% -97.79% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(256)-10 7294.5n ± 1% 4905.0n ± 1% -32.76% (p=0.000 n=10) 643.8n ± 2% -91.17% (p=0.000 n=10) 158.1n ± 6% -97.83% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(64)-10 9683.0n ± 0% 9895.0n ± 1% +2.19% (p=0.000 n=10) 5578.0n ± 1% -42.39% (p=0.000 n=10) 175.4n ± 3% -98.19% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(256)-10 9826.0n ± 4% 10022.5n ± 1% ~ (p=0.143 n=10) 5639.0n ± 1% -42.61% (p=0.000 n=10) 173.0n ± 3% -98.24% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(64)-10 8068.0n ± 2% 6334.5n ± 3% -21.49% (p=0.000 n=10) 1324.5n ± 3% -83.58% (p=0.000 n=10) 169.1n ± 2% -97.90% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(256)-10 8262.5n ± 4% 6373.0n ± 1% -22.87% (p=0.000 n=10) 1362.5n ± 2% -83.51% (p=0.000 n=10) 167.6n ± 2% -97.97% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(64)-10 8532.0n ± 1% 5962.5n ± 1% -30.12% (p=0.000 n=10) 587.3n ± 2% -93.12% (p=0.000 n=10) 169.5n ± 2% -98.01% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(256)-10 8725.0n ± 2% 5614.0n ± 2% -35.66% (p=0.000 n=10) 627.9n ± 1% -92.80% (p=0.000 n=10) 174.7n ± 2% -98.00% (p=0.000 n=10)
geomean 8.740µ 6.461µ -26.08% 1.653µ -81.08% 163.8n -98.13%
│ 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(1)-key(16)-val(64)-10 285.00 ± 0% 264.00 ± 0% -7.37% (p=0.000 n=10) 64.00 ± 0% -77.54% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(256)-10 493.0 ± 0% 648.0 ± 0% +31.44% (p=0.000 n=10) 256.0 ± 0% -48.07% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(64)-10 293.00 ± 0% 264.00 ± 0% -9.90% (p=0.000 n=10) 64.00 ± 0% -78.16% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(256)-10 501.0 ± 0% 648.0 ± 0% +29.34% (p=0.000 n=10) 256.0 ± 0% -48.90% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(64)-10 298.00 ± 0% 266.00 ± 0% -10.74% (p=0.000 n=10) 65.00 ± 0% -78.19% (p=0.000 n=10) 0.00 ± ? -100.00% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(256)-10 506.0 ± 0% 651.0 ± 0% +28.66% (p=0.000 n=10) 257.0 ± 0% -49.21% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(64)-10 285.00 ± 0% 264.00 ± 0% -7.37% (p=0.000 n=10) 64.00 ± 0% -77.54% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(256)-10 493.0 ± 0% 648.0 ± 0% +31.44% (p=0.000 n=10) 256.0 ± 0% -48.07% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(64)-10 290.00 ± 0% 264.00 ± 0% -8.97% (p=0.000 n=10) 64.00 ± 0% -77.93% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(256)-10 499.0 ± 0% 648.0 ± 0% +29.86% (p=0.000 n=10) 256.0 ± 0% -48.70% (p=0.000 n=10) 0.0 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(64)-10 292.00 ± 0% 265.00 ± 0% -9.25% (p=0.000 n=10) 65.00 ± 0% -77.74% (p=0.000 n=10) 0.00 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(256)-10 501.0 ± 0% 650.0 ± 0% +29.74% (p=0.000 n=10) 257.0 ± 0% -48.70% (p=0.000 n=10) 0.0 ± ? -100.00% (p=0.000 n=10)
geomean 380.6 414.3 +8.83% 128.4 -66.26% ? 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(1)-key(16)-val(64)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(1)-key(16)-val(256)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(64)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(8)-key(16)-val(256)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(64)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/OneNode/Get-parall(64)-key(16)-val(256)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(64)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(1)-key(16)-val(256)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(64)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(8)-key(16)-val(256)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(64)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
/Cluster/Get-parall(64)-key(16)-val(256)-10 8.000 ± 0% 6.000 ± 0% -25.00% (p=0.000 n=10) 1.000 ± 0% -87.50% (p=0.000 n=10) 0.000 ± 0% -100.00% (p=0.000 n=10)
geomean 8.000 6.000 -25.00% 1.000 -87.50% ? ¹ ²
¹ summaries must be >0 to compute geomean
² ratios must be >0 to compute geomean