assets/Cluster-data-partitioning.html-c77ff6e2.js

import{_ as e,o as t,c as a,a as i,f as n}from"./app-5cdcb249.js";const o={},s=n('<h1 id="data-partitioning-load-balancing" tabindex="-1"><a class="header-anchor" href="#data-partitioning-load-balancing" aria-hidden="true">#</a> Data Partitioning &amp; Load Balancing</h1><p>IoTDB manages metadata and data based on data partitions (DataRegion), dividing the data from both the sequence and time dimensions.</p><img style="width:100%;max-width:800px;max-height:600px;margin-left:auto;margin-right:auto;display:block;" src="https://alioss.timecho.com/docs/img/分区槽与数据分区.png?raw=true"><h2 id="partition-slots" tabindex="-1"><a class="header-anchor" href="#partition-slots" aria-hidden="true">#</a> Partition Slots</h2><p>A sequence partition slot combined with a time partition slot can generate a data partition (when the sequence slot has corresponding data under that time slot).</p><img style="width:100%;max-width:800px;max-height:600px;margin-left:auto;margin-right:auto;display:block;" src="https://alioss.timecho.com/docs/img/SeriesPartitionSlot.png?raw=true"><h3 id="sequence-partition-slots" tabindex="-1"><a class="header-anchor" href="#sequence-partition-slots" aria-hidden="true">#</a> Sequence Partition Slots</h3><p>Each database holds a fixed number of sequence partition slots, with the default set to 1000. Every time series managed by the database is allocated to a unique sequence partition slot using a partitioning algorithm (usually some hash method).</p><h3 id="time-partition-slots" tabindex="-1"><a class="header-anchor" href="#time-partition-slots" aria-hidden="true">#</a> Time Partition Slots</h3><p>Every time series will continuously produce data. If all the data from a time series is stored on one node continuously, the newly added DataNode in the cluster might not be effectively utilized.</p><p>Time partition slots slice the time-series data from the time dimension (typically, one time partition per day), making the time-series data storage in the cluster easy to manage.</p><h2 id="metadata-partitioning" tabindex="-1"><a class="header-anchor" href="#metadata-partitioning" aria-hidden="true">#</a> Metadata Partitioning</h2><p>The metadata partition management of a single database, following a specific load balancing strategy, assigns all sequence slots to the corresponding SchemaRegionGroup, further horizontally scaling within the cluster.</p><img style="width:100%;max-width:800px;max-height:600px;margin-left:auto;margin-right:auto;display:block;" src="https://alioss.timecho.com/docs/img/SchemaRegion.png?raw=true"><h2 id="data-partitioning" tabindex="-1"><a class="header-anchor" href="#data-partitioning" aria-hidden="true">#</a> Data Partitioning</h2><p>It follows a certain load balancing strategy, dividing time and sequence partition slots, and allocating them to the relevant DataRegionGroup, further allowing horizontal scaling in the cluster.</p><img style="width:100%;max-width:800px;max-height:600px;margin-left:auto;margin-right:auto;display:block;" src="https://alioss.timecho.com/docs/img/DataRegion.png?raw=true"><h2 id="load-balancing" tabindex="-1"><a class="header-anchor" href="#load-balancing" aria-hidden="true">#</a> Load Balancing</h2><p>When the cluster&#39;s capacity remains unchanged, data will be evenly distributed across all nodes to utilize storage and computational resources effectively.</p><p>Also, during cluster expansion, the system automatically increases the number of regions to fully exploit the computational resources of all nodes without manual intervention. Such dynamic expansion enhances the cluster&#39;s performance and scalability, making the system more flexible and efficient.</p>',20);function r(l,d){return t(),a("div",null,[i(`

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