Microsoft SQL Server Performance Tuning To get started with tuning Microsoft SQL Server, here’s a breakdown of some of the essential components. Performance Monitor Performance monitoring is a crucial step when troubleshooting performance issues with queries. It enables you to identify which queries ar...
Object storage integration SQL Server 2022 (16.x) introduces new object storage integration to the data platform, enabling you to integrate SQL Server with S3-compatible object storage, in addition to Azure Storage. The first is backup to URL and the second is Data Lake Virtualization.Data Lake...
SQL Server Operating System (SQLOS) is the foundational component of SQL Server. It is responsible for managing the allocation and management of all resources required by SQL Server, including memory, processors, and storage. SQLOS provides a number of services to SQL Server that are critical to...
Sitting beneath Database Engine is SQL Server Operating System (SQLOS). SQLOS handles lower-level functions, such asmemory, input/output (I/O) management, job scheduling and locking of data to avoid conflicting updates. A network interface layer sits above Database Engine and uses Microsoft's ...
Virtual log file growth In previous versions of SQL Server, if the next growth is more than 1/8 of the current log size, and the growth is less than 64 MB, four VLFs were created. In SQL Server 2022 (16.x), this behavior is slightly different. Only one VLF is created if the grow...
Find out what's new for SQL Server 2017, which brings the power of SQL Server to Linux and Linux-based containers, as well as Windows.
Virtual log file growthIn previous versions of SQL Server, if the next growth is more than 1/8 of the current log size, and the growth is less than 64 MB, four VLFs were created. In SQL Server 2022 (16.x), this behavior is slightly different. Only one VLF is created if the growth...
To better understand encoding, see Performance Tuning of Tabular Models in SQL Server 2012 Analysis Services whitepaper to better understand encoding. Value encoding provides better query performance for columns that are typically only used for aggregations. Hash encoding is preferred for group-by ...
To better understand encoding, see Performance Tuning of Tabular Models in SQL Server 2012 Analysis Services whitepaper to better understand encoding. Value encoding provides better query performance for columns that are typically only used for aggregations. Hash encoding is preferred for group-by ...
To better understand encoding, see Performance Tuning of Tabular Models in SQL Server 2012 Analysis Services whitepaper to better understand encoding. Value encoding provides better query performance for columns that are typically only used for aggregations. Hash encoding is preferred for group-by ...