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OceanBase

A unified distributed database ready for your transactional, analytical, and AI workloads.

Product Overview
DEPLOY YOUR WAY

OceanBase Cloud

The best way to deploy and scale OceanBase

OceanBase Enterprise

Run and manage OceanBase on your infra

TRY OPEN SOURCE

OceanBase Community Edition

The free, open-source distributed database

OceanBase seekdb

Open source AI native search database

Customer Stories

Real-world success stories from enterprises across diverse industries.

View All
BY USE CASES

Mission-Critical Transactions

Global & Multicloud Application

Elastic Scaling for Peak Traffic

Real-time Analytics

Active Geo-redundancy

Database Consolidation

Comprehensive knowledge hub for OceanBase.

Blog

Live Demos

Training & Certification

Documentation

Official technical guides, tutorials, API references, and manuals for all OceanBase products.

View All
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OceanBase Database

SQL - V4.3.3

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    SQL - V 4.3.3
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    Overview

    Last Updated:2024-11-11 07:37:15  Updated
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    The storage engine of OceanBase Database uses the log-structured merge-tree (LSM tree) architecture. In this architecture, data is stored in a MemTable and an SSTable. When the memory occupied by the MemTable exceeds the specified threshold, data in the MemTable is flushed to the SSTable to release the memory space. This process is called a minor compaction. A minor compaction generates a new SSTable. When the number of minor compactions exceeds the specified threshold, or during off-peak hours, the system merges the baseline SSTable with the incremental SSTables generated by minor compactions into one SSTable. This process is called a major compaction.

    • For more information about minor compactions, see Minor compactions.

    • For more information about major compactions, see Major compactions.

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