取得範例程式碼,使用 Azure 入口網站、Azure CLI、PowerShell 和 Transact-SQL 將現有的 Azure SQL Databases 移轉到超大規模資料庫,如將現有的資料庫移轉到超大規模資料庫中所述。 如果超大規模資料庫不符合其需求,反向移轉到一般用途服務層級可讓最近將 Azure SQL Database 中現有資料庫移轉到超大規模資料庫服務層級...
Answers to common questions customers ask about a database in SQL Database in the Hyperscale service tier - commonly called a Hyperscale database.
Azure is a cloud platform designed to simplify building powerful and economical modern applications. Azure SQL Database Hyperscale is a leading relational database service offering for cloud-born applications. In addition to a rock-solid relational database foundation, Hyp...
適用於:Azure SQL Database本文提供 Azure SQL 資料庫 中的超大規模彈性集區概觀。Azure SQL 資料庫 彈性集區可讓軟體即服務 (SaaS) 開發人員將指定預算內一組資料庫的價格效能比率優化,同時為每個資料庫提供效能彈性。 Azure SQL 資料庫 超大規模資料庫彈性集區引進超大規模資料庫共用資源模型。
This article describes the different types of secondary replicas available in the Hyperscale service tier.
Azure is a cloud platform designed to simplify building powerful and economical modern applications. Azure SQL Database Hyperscale is a leading relational...
Today we pre-announced the public preview of Azure SQL Database Hyperscale. SQL Database Hyperscale is a new SQL-based and highly scalable service tier for single databases that adapts on-demand to your workload’s needs. With SQL Database Hyperscale, databases can quickly auto-scale up to ...
Today we pre-announced the public preview of Azure SQL Database Hyperscale. SQL Database Hyperscale is a new SQL-based and highly scalable service tier for single databases that adapts on-demand to your workload’s needs. With SQL Database Hyperscale, databases can quickly auto-scale up to ...
Azure SQL Documentation Azure SQL Shared SQL DB & SQL MI docs 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...
technology. A Hyperscale database supports up to 100 TB of data and provides high throughput and performance, as well as rapid scaling to adapt to the workload requirements. Scaling is transparent to the application – connectivity, query processing, etc. work like any other...