- SQL Server 2017 Administrator's Guide
- Marek Chmel Vladimír Mu?n?
- 269字
- 2021-07-02 21:51:32
Planning memory
Every edition of SQL Server has its limit of maximum consumable memory. It's needed to give SQL Server correctly because SQL Server consumes as much memory as possible. Every request to SQL Server needs memory. When preparing the server for SQL Server installation, we must consider two main memory usages:
- Interpreted queries: This is the traditional approach where SQL Server processes user requests. Data is stored on disk and, when some portion of data is needed by any query, it's cached to a memory area called buffer cache. Buffer cache with many other memory areas like procedure cache, user connections ,and others is a matter of memory limit given by the edition of SQL Server.
- In memory OLTP: In memory OLTP is relatively new SQL Server DE technology that was introduced with SQL Server 2014 Enterprise edition. Later in SQL Server 2016 SP 1, in memory OLTP has ceased to be an enterprise feature and now its memory capacity depends on memory limit determined by certain editions. For example, SQL Server standard edition has maximum memory set to 128 GB and in memory capacity is set to 1/4 of maximum SQL Server memory, which means 32 GB of memory up to the regular limit. In memory area is used for in memory tables--tabular structures for extremely fast access, especially in conjunction with native compiled stored procedures. If any application supposes to use in memory technology, be aware of this extra memory need.
When planning the amount of memory, we must keep in mind any concurrent service or application that will be present on the same server.
推薦閱讀
- 高性能混合信號ARM:ADuC7xxx原理與應(yīng)用開發(fā)
- Photoshop CS4經(jīng)典380例
- 計算機網(wǎng)絡(luò)技術(shù)基礎(chǔ)
- 數(shù)據(jù)庫系統(tǒng)原理及應(yīng)用教程(第5版)
- Linux:Powerful Server Administration
- 空間站多臂機器人運動控制研究
- 氣動系統(tǒng)裝調(diào)與PLC控制
- Azure PowerShell Quick Start Guide
- Extending Ansible
- 基于企業(yè)網(wǎng)站的顧客感知服務(wù)質(zhì)量評價理論模型與實證研究
- 教育機器人的風(fēng)口:全球發(fā)展現(xiàn)狀及趨勢
- R Data Analysis Projects
- Unity Multiplayer Games
- 水晶石影視動畫精粹:After Effects & Nuke 影視后期合成
- Spark大數(shù)據(jù)商業(yè)實戰(zhàn)三部曲:內(nèi)核解密|商業(yè)案例|性能調(diào)優(yōu)