Tutorials SQL Server Tutorial

SQL Server 2022 Features — Complete Guide

SQL Server 2022 Features — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of SQL Server Tutorial on Toolliyo Academy.

8 min read Updated 8/19/2026

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SQL Server Tutorial · Lesson 81 of 100

SQL Server 2022 Features

SQL basics ✓ → Queries ✓ → Advanced

Advanced · 3 — Procedures · ~10 min · SQL — 2022 & Cloud

What is this?

SQL Server 2022 adds features like Ledger, PSPO, Azure Synapse Link enhancements, and more intelligent query processing improvements.

Why should you care?

Knowing what your version unlocks avoids reinventing features that already exist.

See it live — copy this example

Run in SQL Server Management Studio (SSMS) or Azure Data Studio.

SELECT
    SERVERPROPERTY('ProductVersion') AS ProductVersion,
    SERVERPROPERTY('ProductLevel') AS ProductLevel,
    SERVERPROPERTY('Edition') AS Edition;
-- If 16.x → SQL Server 2022 family
SELECT name, compatibility_level FROM sys.databases WHERE name = N'DataVerse';

What happened?

ProductVersion 16.x indicates 2022.
Compatibility level controls dialect/optimizer behaviors per database — raise thoughtfully after testing.

Practice next

Check your version and edition.
Note your database compatibility_level.
Skim Microsoft’s 2022 what's new list for Ledger/PSPO.
Compare features you need vs edition matrix.
Enable Query Store if not already on.

Remember

Version gates features. Compatibility level is per database. Adopt new features with tests.

Upgrade path to 2022

DataVerse moves from 2019 to 2022 for PSPO and ledger pilots.

Outcome: Staging validates plans before cutover.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Mid PDF Detailed

Short answer: SQL Server Agent: Use SQL Server Agent to schedule backup jobs. Example code Create a backup job in SQL Server Management Studio (SSMS) to run daily, weekly, or at specific intervals. Script for automated b…

Mid PDF Detailed

Vertical Scaling (Scaling Up): ○ Vertical scaling means upgrading the resources (CPU, RAM, disk space) of a single database server. ○ Advantages: Simple to implement since you only need to upgrade the existing server. ○ Disadvantages: There is a physical limit to how much you can scale up. It

Short answer: lso increases the risk of downtime during upgrades. Real-world example (ShopNest) ShopNest’s SQL Server database stores customers, products, and orders. Good indexes and clear foreign keys keep checkout que…

Mid PDF Detailed

Server Metrics:?

Short answer: Monitor CPU, memory usage, disk I/O, and network latency using tools like Prometheus, Grafana, or cloud-specific monitoring tools like AWS CloudWatch or Azure Monitor. Real-world example (ShopNest) ShopNest…

Mid PDF Detailed

Transaction Log Backup (for databases that support it, like SQL Server):?

Short answer: A transaction log backup records all the changes made to the database since the last transaction log backup. Explain a bit more It allows point-in-time recovery. Advantages: Enables recovery of the database…

Mid PDF Detailed

What are the differences between SQL and NoSQL databases?

Short answer: SQL Databases (Relational Databases): These are structured databases that use Structured Query Language (SQL) for defining and manipulating data. Explain a bit more They store data in tables with rows and c…

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