Valkey : बेंचमार्क का प्रयोग करें2024/12/05 |
Valkey पैकेज में शामिल टूल के साथ बेंचमार्क परीक्षण चलाना संभव है। |
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[1] | valkey-benchmark टूल का उपयोग इस प्रकार करें। दूसरों के लिए, अनुरोधों की संख्या आदि निर्दिष्ट करने के लिए कुछ विकल्प हैं, [valkey-benchmark --help] देखें। |
root@dlp:~# valkey-benchmark -h 10.0.0.30 -p 6379 -a password ====== PING_INLINE ====== 100000 requests completed in 0.68 seconds 50 parallel clients 3 bytes payload keep alive: 1 host configuration "save": 3600 1 300 100 60 10000 host configuration "appendonly": no multi-thread: no Latency by percentile distribution: 0.000% <= 0.055 milliseconds (cumulative count 1) 50.000% <= 0.175 milliseconds (cumulative count 76413) 87.500% <= 0.183 milliseconds (cumulative count 89227) 93.750% <= 0.231 milliseconds (cumulative count 96822) 96.875% <= 0.239 milliseconds (cumulative count 98650) 99.219% <= 0.255 milliseconds (cumulative count 99524) 99.609% <= 0.263 milliseconds (cumulative count 99651) 99.805% <= 0.311 milliseconds (cumulative count 99813) 99.902% <= 0.943 milliseconds (cumulative count 99904) 99.951% <= 1.255 milliseconds (cumulative count 99954) 99.976% <= 1.367 milliseconds (cumulative count 99984) 99.988% <= 1.375 milliseconds (cumulative count 99997) 99.998% <= 1.383 milliseconds (cumulative count 100000) 100.000% <= 1.383 milliseconds (cumulative count 100000) Cumulative distribution of latencies: 0.012% <= 0.103 milliseconds (cumulative count 12) 91.483% <= 0.207 milliseconds (cumulative count 91483) 99.804% <= 0.303 milliseconds (cumulative count 99804) 99.893% <= 0.407 milliseconds (cumulative count 99893) 99.895% <= 0.903 milliseconds (cumulative count 99895) 99.921% <= 1.007 milliseconds (cumulative count 99921) 99.943% <= 1.103 milliseconds (cumulative count 99943) 99.972% <= 1.303 milliseconds (cumulative count 99972) 100.000% <= 1.407 milliseconds (cumulative count 100000) Summary: throughput summary: 147058.83 requests per second latency summary (msec): avg min p50 p95 p99 max 0.176 0.048 0.175 0.231 0.247 1.383 ====== PING_MBULK ====== 100000 requests completed in 0.69 seconds 50 parallel clients 3 bytes payload keep alive: 1 host configuration "save": 3600 1 300 100 60 10000 host configuration "appendonly": no multi-thread: no ..... ..... Cumulative distribution of latencies: 0.000% <= 0.103 milliseconds (cumulative count 0) 28.313% <= 0.207 milliseconds (cumulative count 28313) 79.195% <= 0.303 milliseconds (cumulative count 79195) 99.061% <= 0.407 milliseconds (cumulative count 99061) 99.825% <= 0.503 milliseconds (cumulative count 99825) 99.878% <= 0.607 milliseconds (cumulative count 99878) 99.883% <= 0.703 milliseconds (cumulative count 99883) 99.884% <= 0.903 milliseconds (cumulative count 99884) 99.905% <= 1.007 milliseconds (cumulative count 99905) 99.914% <= 1.103 milliseconds (cumulative count 99914) 99.958% <= 1.303 milliseconds (cumulative count 99958) 99.978% <= 1.407 milliseconds (cumulative count 99978) 99.997% <= 1.503 milliseconds (cumulative count 99997) 100.000% <= 1.607 milliseconds (cumulative count 100000) Summary: throughput summary: 119617.22 requests per second latency summary (msec): avg min p50 p95 p99 max 0.252 0.112 0.247 0.359 0.407 1.527 |
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