assets/Performance.html-3rBRehCW.js

import{_ as e,o as n,c as a,a as r,f as o}from"./app-wIgiOADQ.js";const t={},i=o('<h1 id="performance" tabindex="-1"><a class="header-anchor" href="#performance" aria-hidden="true">#</a> Performance</h1><p>This chapter introduces the performance characteristics of IoTDB from the perspectives of database connection, database read and write performance, and storage performance.<br> The test tool uses IoTDBBenchmark, an open source time series database benchmark tool.</p><h2 id="database-connection" tabindex="-1"><a class="header-anchor" href="#database-connection" aria-hidden="true">#</a> Database connection</h2><ul><li>Support high concurrent connections, a single server can support tens of thousands of concurrent connections per second.</li></ul><h2 id="read-and-write-performance" tabindex="-1"><a class="header-anchor" href="#read-and-write-performance" aria-hidden="true">#</a> Read and write performance</h2><ul><li>It has the characteristics of high write throughput, a single core can handle more than tens of thousands of write requests per second, and the write performance of a single server can reach tens of millions of points per second; the cluster can be linearly scaled, and the write performance of the cluster can reach hundreds of millions points/second.</li><li>It has the characteristics of high query throughput and low query latency, a single server supports tens of millions of points/second query throughput, and can aggregate tens of billions of data points in milliseconds.</li><li></li></ul><h2 id="storage-performance" tabindex="-1"><a class="header-anchor" href="#storage-performance" aria-hidden="true">#</a> Storage performance</h2><ul><li>Supports the storage of massive data, with the storage and processing capabilities of PB-level data.</li><li>Support high compression ratio, lossless compression can reach 20 times compression ratio, lossy compression can reach 100 times compression ratio.</li></ul>',8);function s(c,h){return n(),a("div",null,[r(`
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