Module 2: Architecture Overview

Schema and Data Structure (Objects) Storage Architecture Data Blocks, Extents, and Segments Storage Allocation Managing Extents and Pages Tablespaces and Datafiles SQL Server Data Files Mapping of Tablespaces and Filegroups Logging Model Schema and Data Structures (Objects)

Schema – a collection of objects owned by a database user Schemas in SQL Server provide logical separation of objects, similar to Oracle’s schema Comparison of Core Schema and Data Structures (Objects) Oracle SQL Server Table Index Index View View Synonym Synonym Sequence Sequence Procedure Function Function Package N/A Queue in Streams Advanced Queuing Service Broker Queue Object Type Type XML DB XML Schema Collection & data type Storage Architecture

Database storage architecture includes physical and logical structures Physical structures are data files, log files, and operating system blocks Logical structures are subdivisions of data files used to manage storage space

Data File Data File Data File Data File Data File Data File

Temporary Tablespace Groups

Tablespace Tablespace Filegroup Filegroup

Segment Segment Heap/Index Heap/Index Extent Extent Extent Extent Extent Extent Extent

Blocks Blocks Blocks Blocks Pages Pages Pages Data Blocks, Extents, and Segments

Structure Oracle SQL Server 2012

Smallest unit of Block Page logical storage

Block size Variable 8 KB fixed

Performed in multiple Performed in multiple Storage allocation blocks; are ‘extents’ pages; are ‘extents’

Extent size Variable 64 KB fixed

Any logical structure Segment that is allocated Allocation unit storage Storage Allocation

2K 2K 2K 2K 8K 8K 8K 2K block block block 6 x 2bKlo =c k12K block block block block 2K 2K 2K EXT2EKNT 8K 8K 8K 8 x 8K2 K= 64K block block block block 12K + 16K = 28K block block block EXbTloEcNkT 2K 2K 2K 2K SEGMENT 8K 8K 8K 2K 64K + 64K = block block block block (Table/Index) block block block block 128K HEAP/INDEX 2K 2K 2K 2K 8K 8K 8K 2K block block block block block block block block 2K 2K 2K 2K 8K 8K 8K 2K block block block block block block block block 2K 2K 8 x 2K2K = 16K 2K 8K 8K 8K 8 x 8K2 K= 64K block block EXbTloEcNk T block block block block EXbTloEcNkT 2K 2K 2K 2K 8K 8K 8K 2K block block block block block block block block 2K 2K 2K 2K 8K 8K 8K 2K block block block block block block block block

Oracle SQL Server Fundamental difference in storage allocation between Oracle and SQL Server Managing Extents and Pages

In Oracle, each extent is dedicated to an allocated object. In SQL Server, the equivalent is a uniform extent. SQL Server uses mixed extents: pages are allocated to objects with less than 8 blocks of data Similar to the Oracle bitmap functionality used to manage free space and extent allocation, SQL Server uses the Global Allocation Map (GAM) and Shared Global Allocation Map (SGAM) Oracle keeps track of extents using extent allocation maps Managing Extents and Pages (Continued)

File Header Extent

Extents in SQL Server

GAM Bit SGAM Bit Current Use of Extent Setting Setting Free, not being used 1 0 Uniform extent, or full mixed GAMs and SGAMs 0 0 extent Mixed extent with free pages 0 1 Tablespaces and Datafiles

Oracle and SQL Server store data in datafiles The largest logical storage structure in Oracle is a tablespace The largest logical storage structure in SQL Server is a filegroup Tablespaces/filegroups are used to group application objects Tablespaces/filegroups optimize administration of datafiles SQL Server Data Files

Three file types supported by SQL Server: Primary Data Files Secondary Data Files Log Data Files

Demonstration: Working with Filegroups and Data Structures

Demonstration: Working with Filegroups and Data Structures Mapping of Tablespaces and Filegroups

System Tablespace Data file Data file Data file Log file Master DB

Resource DB SysAux Tablespace Data file Data file Data file Log file

Tablespace Group Temporary Tablespace Data file Log file TempDB Data file Data file

Data file Log file Model DB

Data file Data file

Data file Log file MSDB BigFile Tablespace Data file

User Data Tablespace Data file Data file User Database User DB User Index Tablespace Data file Data file Data file Data file Data FG

Undo Tablespace Data file Data file Data file Data file Index FG

Redo Log Files Redo Log Log file Log File(s) Redo Log Redo Log

Oracle Database Instance SQL Server Instance Demonstration: Viewing an Instance’s System

Demonstration: Viewing an Instance’s System Databases Logging Model

Oracle uses online redo logs to record changes made to the database by transactions and undo segments to capture the ‘before image’ of data SQL Server implements both of these functions using transaction logs. Each transaction record contains the undo and redo image of the transaction. Data Dictionary

In Oracle the data dictionary is stored under the SYS schema in the SYSTEM tablespace In SQL Server the data dictionary consists of:  Catalog View—the best way to access system metadata  Backward Compatibility Views—All system tables from previous releases are provided as backward compatibility views  Dynamic Management Views—to the current state of the SQL Server system. Provide real-time snapshots of internal memory structures indicating the server state.  INFORMATION_SCHEMA views—SQL-99 method to view system metadata SQL Server’s Resource database contains the metadata for system stored procedures Demonstration: View the Data Dictionary

Demonstration: View the Data Dictionary Review

Defined schema and identified core schema objects Examined the storage architecture and its physical (datafiles, logfiles, and so on) and logical structures (blocks, extents, segments, and tablespaces) Defined the hierarchy in the logical structures Compared Oracle and SQL Server in terms of schema vs. databases, and tablespaces vs. filegroups Examined the structures used in the implementation of the logging model (redo logs and rollback segments in Oracle vs. transaction logs in SQL Server) Brief look at the location and composition of the data dictionary/system catalog