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Lesson 10

SQL Server Overview - Conclusion

This module presented an overview of SQL Server and some of its most useful features and tools. Having completed it, you should now be able to:
  1. Define a relational database
  2. Identify and describe SQL Server 2022 services
  3. Describe SQL Server 2022 architecture
  4. Plan an effective SQL Server 2022 installation strategy
  5. Use the Enterprise Manager to administer SQL servers
  6. Use the Query Analyzer to execute queries and view their results
  7. Describe some of the most useful wizards available in Microsoft SQL Server 2022

๐Ÿ—๏ธ SQL Server 2022 Architecture Overview

The SQL Server 2022 Architecture is a layered and modular system designed to manage, store, retrieve, and secure data efficiently across hybrid environments. Below is a structured overview of its architecture, reflecting core components, processes, services, and integrations.
  1. Client Layer
    • Applications: .NET, Java, Python, web apps, reporting tools
    • Communication: TDS (Tabular Data Stream) protocol
    • Connection APIs: ADO.NET, JDBC, ODBC, OleDB
  2. Relational Engine (Query Processor)
    • Responsible for query parsing, optimization, and execution.
    • Component Description
      Parser Parses T-SQL into logical tree (query tree)
      Algebrizer Resolves names, validates types
      Optimizer Produces cost-based execution plan
      Query Executor Executes the plan using access methods
    • Uses cost-based optimization for execution plans
    • Supports intelligent query processing (IQP) enhancements in 2022
    • Can call into PolyBase or external sources

  • Storage Engine
    • Manages physical storage, indexes, and transaction logs.
    • Subsystem Description
      Buffer Manager Caches pages in memory (Buffer Pool)
      Transaction Manager Controls ACID properties
      Lock Manager Manages concurrency using locks/latches
      Access Methods Handles table/index access, scans, seeks
      File System Interface Reads/writes .mdf, .ndf, .ldf files
    • Supports Resumable Index Operations, Accelerated Database Recovery (ADR), and In-Memory OLTP.
  • SQL OS Layer
    • Abstracts hardware resources for threads, memory, and I/O.
    • Service Role
      Scheduler Manages worker threads (SQLOS Scheduler)
      Memory Manager Allocates memory across caches
      I/O Manager Manages asynchronous disk I/O
      Deadlock Detection Tracks transaction locks and detects deadlocks

  • Integration and Hybrid Services
    • SQL Server 2022 offers tight Azure integration and external data access features.
    • Feature Role
      Azure Synapse Link Sync data to Azure Synapse Analytics
      Azure Purview Integration Data cataloging and governance
      PolyBase Query external data (Oracle, Hadoop, S3) using T-SQL
      Linked Servers Connect to remote data sources
      Data Virtualization Query external data without importing
  • Security Layer
    • Provides authentication, authorization, and data protection.
    • Feature Description
      Authentication Windows, SQL logins, Azure AD
      Authorization Role-based access control (RBAC)
      Encryption TDE, Always Encrypted with secure enclaves
      Auditing and Row-Level Security Policy-driven data access and logging
  • High Availability and Disaster Recovery
    • Technology Description
      Always On Availability Groups Synchronous/Asynchronous replication
      Contained Availability Groups Simplified multi-database failover
      Failover Cluster Instances (FCI) Windows Server Failover Clustering
      Backup to URL / Azure Blob Cloud-integrated backup options
  • SQL Server 2022 enhances business continuity features.

    Diagram: SQL Server 2022 Architecture
    Diagram: SQL Server 2022 Architecture

    Glossary terms

    This module introduced you to the following terms:
    1. ad hoc
    2. API
    3. console
    4. context sensitive
    5. distributed transaction
    6. gigabytes
    7. referential integrity
    8. scheduling
    9. table
    10. terabyte
    In the next module, you will learn all about relational concepts. These concepts are important to understanding the rest of the course.

    Largest size that can be stored as a column in a Database Table

    In SQL Server 2022, the largest size that can be stored in a single column of a database table depends on the data type used. Below is a summary of the maximum sizes for various data types:
    ๐Ÿ”น String and Binary Data Types (Variable-length)
    Data Type Max Size Notes
    VARCHAR(n) Up to 8,000 bytes n max is 8000 unless using MAX
    NVARCHAR(n) Up to 4,000 characters Uses 2 bytes per character (up to 8000 bytes total)
    VARCHAR(MAX) Up to 2^31-1 bytes (2 GB) For large text data (approx 2 GB)
    NVARCHAR(MAX) Up to 2^30-1 characters (2 GB) Unicode text; ~1 GB limit in characters
    VARBINARY(MAX) Up to 2^31-1 bytes (2 GB) Used for large binary data like images or files
    ๐Ÿ”น Other Notable Maximums
    Data Type Max Size Notes
    TEXT, NTEXT, IMAGE ~2 GB Deprecated, use VARCHAR(MAX), NVARCHAR(MAX), or VARBINARY(MAX)
    XML Up to 2 GB Internally stored as a BLOB
    GEOMETRY, GEOGRAPHY 2 GB For spatial data types
    ROWVERSION / TIMESTAMP 8 bytes Not datetime-related; used for versioning

    โš ๏ธ Important Considerations
    • The maximum size per row in SQL Server is 8,060 bytes (excluding MAX columns).
    • Columns using MAX types are stored off-row if their content exceeds certain thresholds.
    • You can have multiple MAX columns, but practical limits depend on performance and storage.

    โœ… Summary The largest possible size for a single column is:
    > 2^31 - 1 bytes (2,147,483,647 bytes โ‰ˆ 2 GB)
    
    โ€ฆfor `VARCHAR(MAX)`, `NVARCHAR(MAX)`, or `VARBINARY(MAX)`.
    

    SQL Server Overview - Quiz

    Before moving on to the next module, click the Quiz link below on the left to check your knowledge of the information covered in this module.
    SQL Server Overview - Quiz

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