Introducing S3 in SQL Server 2022 S3 compatible object storage integration is a new feature introduced in SQL Server 2022. There are two significant areas where SQL Server leverages this: backup and restore and data virtualization. This article will focus on getting started with using S3 compatible object storage for backups. Now let’s unpack that phrase ‘S3 compatible object storage’ a bit. AWS Simple Cloud Storage Service (S3) is a storage service AWS provides in their cloud.
Background If you’ve been using Availability Groups, you’re familiar with the replica seeding (sometimes called initializing, preparing or data sychronization) process. Seeding is a size of data operation, copying data from a primary replica to one or more secondary replicas. This is required before joining a database to an Availability Group. You can seed a replica with backup and restore or automatic seeding, each with its own challenges. Regardless of which method you use, the seeding operation can take a long amount of time.
This blog post shows you how NTFS stores data, what the NTFS Allocation Unit means, and how SQL Server performs IOs of variable size.
How NTFS Stores Data on Disk A Master File Table (MFT) is the data structure that describes files and directories on NTFS. In Figure 1, you can see an MTF record has several sections describing the metadata about the file and pointers to blocks that make up the file.
In this post, we’re going to walk through configuring Active Directory authentication for SQL Server on Linux. We will start by joining the Linux server to the domain, configuring SQL Server on Linux to communicate to the domain, and then use adutil to create our AD users and set up Kerberos for SQL Server login authentication.
Before getting started First, let’s get some environment requirements set. We’ll need an Active Directory domain, a Linux host to install SQL Server on, some DNS records for that host, and the DNS client on that host configured for our environment.
