Azure SQL Database, Azure SQL Managed Instance, and SQL Server share the same implementation of in-memory technologies.Note For a detailed step-by-step tutorial to demonstrate the performance advantages of In-Memory OLTP technology, using the AdventureWorksLT sample database and ostress.exe, see ...
In-Memory OLTP can provide great performance gains, for the right workloads. One of our customers, Quorum Business Solutions, managed todouble a database’s workload while lowering DTU by 70%. In Azure SQL Database, DTU is a measure of the amount of resources that can be utilized by a ...
リリース:in-memory-oltp-demo-v1.0 ソース コード:in-memory-oltp-demo-source-code 1.インメモリ OLTP のサンプルをインストールする Azure Portal で数回クリックするだけで、Azure portalのAdventureWorksLTサンプル データベースを作成できます。 このセクションの手順では、インメモリ OL...
“Quest’s customers rely on Spotlight to tell them in a timely manner about issues in their SQL Server environments. Quest relies on In-Memory OLTP in Azure SQL Database to provide a robust base on which to build Spotlight features quickly and deliver them to customers. With In-Memory OLTP...
Explore a MySQL database and fully managed database service for app developers. Azure is a managed service provider that can meet all your database needs.
Estimate and monitor XTP in-memory storage usage and capacity in Azure SQL Database; resolve capacity error 41823.
如果在业务关键或高级服务层级的数据库中创建了任何In-Memory OLTP对象,则必须对还原的数据库使用业务关键或高级服务层级。 有关详细信息,请参阅还原具有 In-Memory OLTP 对象的数据库。 数据库替换 若要用还原的数据库替换原始数据库,则应指定原始数据库的计算大小和服务层级。 然后,可以使用 T-SQL 中的ALTER D...
6. Azure Cache for Redis:Azure Cache for Redis is a fully managed, open-source, in-memory data store. It's often used to speed up applications by caching data and reducing the need to fetch information from slower, disk-based databases. ...
何谓时间点还原( Point in Time Restore ) ? Azure SQL Database服务中的所有数据库,皆会受到自动备份系统( automated backup system )保护。备份的保留期限会随着订阅的Azure SQL Database 层级而有所不同,Premium 版为 35 天、Standard 版为 14天、Basic 版为 7 天。
Azure SQL Database (SQL DB) Documentation Overview Quickstarts Tutorials Concepts Single databases Elastic pools Logical servers Serverless T-SQL differences from SQL Server In-memory technologies in Azure SQL Database Hyperscale Purchasing models