
- •Contents
- •Send Us Your Comments
- •Preface
- •Audience
- •Organization
- •Related Documentation
- •Conventions
- •Documentation Accessibility
- •1 Introduction to the Oracle Server
- •Database Structure and Space Management Overview
- •Logical Database Structures
- •Physical Database Structures
- •Data Dictionary Overview
- •Data Access Overview
- •SQL Overview
- •Objects Overview
- •PL/SQL Overview
- •Java Overview
- •XML Overview
- •Transactions Overview
- •Data Integrity Overview
- •SQL*Plus Overview
- •Memory Structure and Processes Overview
- •An Oracle Instance
- •Memory Structures
- •Process Architecture
- •The Program Interface Mechanism
- •An Example of How Oracle Works
- •Application Architecture Overview
- •Client/Server Architecture
- •Multitier Architecture: Application Servers
- •Distributed Databases Overview
- •Replication Overview
- •Streams Overview
- •Advanced Queuing Overview
- •Heterogeneous Services Overview
- •Data Concurrency and Consistency Overview
- •Concurrency
- •Read Consistency
- •Locking Mechanisms
- •Quiesce Database
- •Database Security Overview
- •Security Mechanisms
- •Database Administration Overview
- •Enterprise Manager Overview
- •Database Backup and Recovery Overview
- •Data Warehousing Overview
- •Differences Between Data Warehouse and OLTP Systems
- •Data Warehouse Architecture
- •Materialized Views
- •OLAP Overview
- •Change Data Capture Overview
- •High Availability Overview
- •Transparent Application Failover
- •Online Reorganization Architecture
- •Data Guard Overview
- •LogMiner Overview
- •Real Application Clusters
- •Real Application Clusters Guard
- •Content Management Overview
- •Oracle Internet File System Overview
- •2 Data Blocks, Extents, and Segments
- •Introduction to Data Blocks, Extents, and Segments
- •Data Blocks Overview
- •Data Block Format
- •Free Space Management
- •Extents Overview
- •When Extents Are Allocated
- •Determine the Number and Size of Extents
- •How Extents Are Allocated
- •When Extents Are Deallocated
- •Segments Overview
- •Introduction to Data Segments
- •Introduction to Index Segments
- •Introduction to Temporary Segments
- •Automatic Undo Management
- •3 Tablespaces, Datafiles, and Control Files
- •Introduction to Tablespaces, Datafiles, and Control Files
- •Oracle-Managed Files
- •Allocate More Space for a Database
- •Tablespaces Overview
- •The SYSTEM Tablespace
- •Undo Tablespaces
- •Default Temporary Tablespace
- •Using Multiple Tablespaces
- •Managing Space in Tablespaces
- •Multiple Block Sizes
- •Online and Offline Tablespaces
- •Read-Only Tablespaces
- •Temporary Tablespaces for Sort Operations
- •Transport of Tablespaces Between Databases
- •Datafiles Overview
- •Datafile Contents
- •Size of Datafiles
- •Offline Datafiles
- •Temporary Datafiles
- •Control Files Overview
- •Control File Contents
- •Multiplexed Control Files
- •4 The Data Dictionary
- •Introduction to the Data Dictionary
- •Structure of the Data Dictionary
- •SYS, Owner of the Data Dictionary
- •How the Data Dictionary Is Used
- •How Oracle Uses the Data Dictionary
- •How to Use the Data Dictionary
- •Dynamic Performance Tables
- •Database Object Metadata
- •Introduction to an Oracle Instance
- •The Instance and the Database
- •Connection with Administrator Privileges
- •Initialization Parameter Files
- •Instance and Database Startup
- •How an Instance Is Started
- •How a Database Is Mounted
- •What Happens When You Open a Database
- •Database and Instance Shutdown
- •Close a Database
- •Unmount a Database
- •Shut Down an Instance
- •6 Application Architecture
- •Client/Server Architecture
- •Multitier Architecture
- •Clients
- •Application Servers
- •Database Servers
- •Oracle Net Services
- •How Oracle Net Services Works
- •The Listener
- •7 Memory Architecture
- •Introduction to Oracle Memory Structures
- •System Global Area (SGA) Overview
- •Dynamic SGA
- •Database Buffer Cache
- •Redo Log Buffer
- •Shared Pool
- •Large Pool
- •Control of the SGA’s Use of Memory
- •Other SGA Initialization Parameters
- •Program Global Areas (PGA) Overview
- •Content of the PGA
- •SQL Work Areas
- •PGA Memory Management for Dedicated Mode
- •Dedicated and Shared Servers
- •Software Code Areas
- •8 Process Architecture
- •Introduction to Processes
- •Multiple-Process Oracle Systems
- •Types of Processes
- •User Processes Overview
- •Connections and Sessions
- •Oracle Processes Overview
- •Server Processes
- •Background Processes
- •Trace Files and the Alert Log
- •Shared Server Architecture
- •Scalability
- •Dispatcher Request and Response Queues
- •Shared Server Processes (Snnn)
- •Restricted Operations of the Shared Server
- •Dedicated Server Configuration
- •The Program Interface
- •Program Interface Structure
- •Program Interface Drivers
- •Communications Software for the Operating System
- •9 Database Resource Management
- •Introduction to the Database Resource Manager
- •Database Resource Manager Overview
- •Example of a Simple Resource Plan
- •How the Database Resource Manager Works
- •Resource Control
- •Database Integration
- •Performance Overhead
- •Resource Plans and Resource Consumer Groups
- •Activation of a Resource Plan
- •Groups of Resource Plans
- •Resource Allocation Methods and Resource Plan Directives
- •Resource Plan Directives
- •CPU Resource Allocation
- •Interaction with Operating-System Resource Control
- •Dynamic Reconfiguration
- •10 Schema Objects
- •Introduction to Schema Objects
- •Tables
- •How Table Data Is Stored
- •Nulls Indicate Absence of Value
- •Default Values for Columns
- •Partitioned Tables
- •Nested Tables
- •Temporary Tables
- •External Tables
- •Views
- •How Views are Stored
- •How Views Are Used
- •Mechanics of Views
- •Dependencies and Views
- •Updatable Join Views
- •Object Views
- •Inline Views
- •Materialized Views
- •Define Constraints on Views
- •Refresh Materialized Views
- •Materialized View Logs
- •Dimensions
- •The Sequence Generator
- •Synonyms
- •Indexes
- •Unique and Nonunique Indexes
- •Composite Indexes
- •Indexes and Keys
- •Indexes and Nulls
- •Function-Based Indexes
- •How Indexes Are Stored
- •How Indexes Are Searched
- •Key Compression
- •Reverse Key Indexes
- •Bitmap Indexes
- •Bitmap Join Indexes
- •Index-Organized Tables
- •Benefits of Index-Organized Tables
- •Index-Organized Tables with Row Overflow Area
- •Secondary Indexes on Index-Organized Tables
- •Bitmap Indexes on Index-Organized Tables
- •Partitioned Index-Organized Tables
- •Index-Organized Table Applications
- •Application Domain Indexes
- •Clusters
- •Hash Clusters
- •Introduction to Partitioning
- •Partition Key
- •Partitioned Tables
- •Partitioned Index-Organized Tables
- •Partitioning Methods
- •Range Partitioning
- •List Partitioning
- •Hash Partitioning
- •Composite Partitioning
- •When to Partition a Table
- •Partitioned Indexes
- •Local Partitioned Indexes
- •Global Partitioned Indexes
- •Global Nonpartitioned Indexes
- •Partitioned Index Examples
- •Miscellaneous Information about Creating Indexes on Partitioned Tables
- •Using Partitioned Indexes in OLTP Applications
- •Using Partitioned Indexes in Data Warehousing and DSS Applications
- •Partitioned Indexes on Composite Partitions
- •Partitioning to Improve Performance
- •Partition Pruning
- •Partition-wise Joins
- •Parallel DML
- •Introduction to Oracle Datatypes
- •Character Datatypes
- •CHAR Datatype
- •VARCHAR2 and VARCHAR Datatypes
- •Length Semantics for Character Datatypes
- •NCHAR and NVARCHAR2 Datatypes
- •Use of Unicode Data in an Oracle Database
- •LOB Character Datatypes
- •LONG Datatype
- •NUMBER Datatype
- •Internal Numeric Format
- •DATE Datatype
- •Use of Julian Dates
- •Date Arithmetic
- •Centuries and the Year 2000
- •Daylight Savings Support
- •Time Zones
- •LOB Datatypes
- •BLOB Datatype
- •CLOB and NCLOB Datatypes
- •BFILE Datatype
- •RAW and LONG RAW Datatypes
- •ROWID and UROWID Datatypes
- •The ROWID Pseudocolumn
- •Physical Rowids
- •Logical Rowids
- •Rowids in Non-Oracle Databases
- •ANSI, DB2, and SQL/DS Datatypes
- •XML Datatypes
- •XMLType Datatype
- •URI Datatypes
- •Data Conversion
- •13 Object Datatypes and Object Views
- •Introduction to Object Datatypes
- •Complex Data Models
- •Multimedia Datatypes
- •Object Datatype Categories
- •Object Types
- •Collection Types
- •Type Inheritance
- •FINAL and NOT FINAL Types
- •NOT INSTANTIABLE Types and Methods
- •User-Defined Aggregate Functions
- •Why Have User-Defined Aggregate Functions?
- •Creation and Use of UDAGs
- •How Do Aggregate Functions Work?
- •Application Interfaces
- •JPublisher
- •JDBC
- •SQLJ
- •Datatype Evolution
- •Introduction to Object Views
- •Advantages of Object Views
- •How Object Views Are Defined
- •Use of Object Views
- •Updates of Object Views
- •Updates of Nested Table Columns in Views
- •View Hierarchies
- •14 SQL, PL/SQL, and Java
- •SQL Overview
- •SQL Statements
- •Identification of Nonstandard SQL
- •Recursive SQL
- •Cursors
- •Shared SQL
- •Parsing
- •SQL Processing
- •The Optimizer Overview
- •PL/SQL Overview
- •How PL/SQL Runs
- •Language Constructs for PL/SQL
- •PL/SQL Program Units
- •PL/SQL Collections and Records
- •PL/SQL Server Pages
- •Java Overview
- •Java and Object-Oriented Programming Terminology
- •Class Hierarchy
- •Interfaces
- •Polymorphism
- •The Java Virtual Machine (JVM)
- •Why Use Java in Oracle?
- •Oracle’s Java Application Strategy
- •15 Dependencies Among Schema Objects
- •Introduction to Dependency Issues
- •Resolution of Schema Object Dependencies
- •Compilation of Views and PL/SQL Program Units
- •Function-Based Index Dependencies
- •Object Name Resolution
- •Shared SQL Dependency Management
- •Local and Remote Dependency Management
- •Management of Local Dependencies
- •Management of Remote Dependencies
- •16 Transaction Management
- •Introduction to Transactions
- •Statement Execution and Transaction Control
- •Statement-Level Rollback
- •Resumable Space Allocation
- •Transaction Management Overview
- •Commit Transactions
- •Rollback of Transactions
- •Savepoints In Transactions
- •Transaction Naming
- •The Two-Phase Commit Mechanism
- •Discrete Transaction Management
- •Autonomous Transactions
- •Autonomous PL/SQL Blocks
- •Transaction Control Statements in Autonomous Blocks
- •17 Triggers
- •Introduction to Triggers
- •How Triggers Are Used
- •Parts of a Trigger
- •The Triggering Event or Statement
- •Trigger Restriction
- •Trigger Action
- •Types of Triggers
- •Row Triggers and Statement Triggers
- •BEFORE and AFTER Triggers
- •INSTEAD OF Triggers
- •Triggers on System Events and User Events
- •Trigger Execution
- •The Execution Model for Triggers and Integrity Constraint Checking
- •Data Access for Triggers
- •Storage of PL/SQL Triggers
- •Execution of Triggers
- •Dependency Maintenance for Triggers
- •18 Parallel Execution of SQL Statements
- •Introduction to Parallel Execution
- •When to Implement Parallel Execution
- •When Not to Implement Parallel Execution
- •How Parallel Execution Works
- •Parallelized SQL Statements
- •Degree of Parallelism
- •SQL Operations That Can Be Parallelized
- •Parallel Query
- •Parallel DDL
- •Parallel DML
- •SQL*Loader
- •How to Make a Statement Run in Parallel
- •19 Direct-Path INSERT
- •Introduction to Direct-Path INSERT
- •Advantages of Direct-Path INSERT
- •Serial and Parallel Direct-Path INSERT
- •Direct-Path INSERT Into Partitioned and Nonpartitioned Tables
- •Serial Direct-Path INSERT into Partitioned and Nonpartitioned Tables
- •Parallel Direct-Path INSERT into Partitioned Tables
- •Parallel Direct-Path INSERT into Nonpartitioned Tables
- •Direct-Path INSERT and Logging Mode
- •Direct-Path INSERT with Logging
- •Direct-Path INSERT without Logging
- •Additional Considerations for Direct-Path INSERT
- •Index Maintenance with Direct-Path INSERT
- •Space Considerations with Direct-Path INSERT
- •Locking Considerations with Direct-Path INSERT
- •20 Data Concurrency and Consistency
- •Introduction to Data Concurrency and Consistency in a Multiuser Environment
- •Preventable Phenomena and Transaction Isolation Levels
- •Overview of Locking Mechanisms
- •How Oracle Manages Data Concurrency and Consistency
- •Multiversion Concurrency Control
- •Statement-Level Read Consistency
- •Transaction-Level Read Consistency
- •Read Consistency with Real Application Clusters
- •Oracle Isolation Levels
- •Comparison of Read Committed and Serializable Isolation
- •Choice of Isolation Level
- •How Oracle Locks Data
- •Transactions and Data Concurrency
- •Deadlocks
- •Types of Locks
- •DML Locks
- •DDL Locks
- •Latches and Internal Locks
- •Explicit (Manual) Data Locking
- •Oracle Lock Management Services
- •Flashback Query
- •Flashback Query Benefits
- •Some Uses of Flashback Query
- •21 Data Integrity
- •Introduction to Data Integrity
- •Types of Data Integrity
- •How Oracle Enforces Data Integrity
- •Introduction to Integrity Constraints
- •Advantages of Integrity Constraints
- •The Performance Cost of Integrity Constraints
- •Types of Integrity Constraints
- •NOT NULL Integrity Constraints
- •UNIQUE Key Integrity Constraints
- •PRIMARY KEY Integrity Constraints
- •Referential Integrity Constraints
- •CHECK Integrity Constraints
- •The Mechanisms of Constraint Checking
- •Default Column Values and Integrity Constraint Checking
- •Deferred Constraint Checking
- •Constraint Attributes
- •SET CONSTRAINTS Mode
- •Unique Constraints and Indexes
- •Constraint States
- •Constraint State Modification
- •22 Controlling Database Access
- •Introduction to Database Security
- •Schemas, Database Users, and Security Domains
- •User Authentication
- •Authentication by the Operating System
- •Authentication by the Network
- •Authentication by the Oracle Database
- •Multitier Authentication and Authorization
- •Authentication by the Secure Socket Layer Protocol
- •Authentication of Database Administrators
- •Oracle Internet Directory
- •User Tablespace Settings and Quotas
- •Default Tablespace Option
- •Temporary Tablespace Option
- •Tablespace Access and Quotas
- •The User Group PUBLIC
- •User Resource Limits and Profiles
- •Types of System Resources and Limits
- •Profiles
- •23 Privileges, Roles, and Security Policies
- •Introduction to Privileges
- •System Privileges
- •Schema Object Privileges
- •Table Security
- •View Security
- •Procedure Security
- •Type Security
- •Introduction to Roles
- •Common Uses for Roles
- •The Mechanisms of Roles
- •Grant and Revoke Roles
- •Who Can Grant or Revoke Roles?
- •Role Names
- •Security Domains of Roles and Users
- •PL/SQL Blocks and Roles
- •Data Definition Language Statements and Roles
- •Predefined Roles
- •The Operating System and Roles
- •Roles in a Distributed Environment
- •Fine-Grained Access Control
- •Dynamic Predicates
- •Application Context
- •Secure Application Roles
- •Creation of Secure Application Roles
- •24 Auditing
- •Introduction to Auditing
- •Features of Auditing
- •Mechanisms for Auditing
- •Statement Auditing
- •Privilege Auditing
- •Schema Object Auditing
- •Schema Object Audit Options for Views and Procedures
- •Fine-Grained Auditing
- •Focus Statement, Privilege, and Schema Object Auditing
- •Successful and Unsuccessful Statement Executions Auditing
- •BY SESSION and BY ACCESS Clauses of Audit Statement
- •Audit By User
- •Audit in a Multitier Environment
- •Allocating Extents in Dictionary Managed Tablespaces
- •Introduction to Rollback Segments
- •PCTFREE, PCTUSED, and Row Chaining
- •Glossary
- •Index

System Global Area (SGA) Overview
See Also:
Oracle9i Database Performance Tuning Guide and Reference for more information about multiple buffer pools
Oracle9i SQL Reference for the syntax of the BUFFER_POOL clause of the STORAGE clause
Redo Log Buffer
The redo log buffer is a circular buffer in the SGA that holds information about changes made to the database. This information is stored in redo entries. Redo entries contain the information necessary to reconstruct, or redo, changes made to the database by INSERT, UPDATE, DELETE, CREATE, ALTER, or DROP operations. Redo entries are used for database recovery, if necessary.
Redo entries are copied by Oracle server processes from the user’s memory space to the redo log buffer in the SGA. The redo entries take up continuous, sequential space in the buffer. The background process LGWR writes the redo log buffer to the active online redo log file (or group of files) on disk.
See Also:
"Log Writer Process (LGWR)" on page 8-9 for more information about how the redo log buffer is written to disk
Oracle9i Backup and Recovery Concepts for information about online redo log files and groups
The initialization parameter LOG_BUFFER determines the size (in bytes) of the redo log buffer. In general, larger values reduce log file I/O, particularly if transactions are long or numerous. The default setting is either 512 kilobytes (KB) or 128 KB times the setting of the CPU_COUNT parameter, whichever is greater.
Shared Pool
The shared pool portion of the SGA contains three major areas: library cache, dictionary cache, buffers for parallel execution messages, and control structures.
Note: If the initialization parameter PARALLEL_AUTOMATIC_ TUNING is set to true, these buffers are allocated from the large pool.
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The total size of the shared pool is determined by the initialization parameter SHARED_POOL_SIZE. The default value of this parameter is 8MB on 32-bit platforms and 64MB on 64-bit platforms. Increasing the value of this parameter increases the amount of memory reserved for the shared pool.
Library Cache
The library cache includes the shared SQL areas, private SQL areas (in the case of a multiple transaction server), PL/SQL procedures and packages, and control structures such as locks and library cache handles.
Shared SQL areas are accessible to all users, so the library cache is contained in the shared pool within the SGA.
Shared SQL Areas and Private SQL Areas
Oracle represents each SQL statement it runs with a shared SQL area and a private SQL area. Oracle recognizes when two users are executing the same SQL statement and reuses the shared SQL area for those users. However, each user must have a separate copy of the statement’s private SQL area.
Shared SQL Areas A shared SQL area contains the parse tree and execution plan for a given SQL statement. Oracle saves memory by using one shared SQL area for SQL statements run multiple times, which often happens when many users run the same application.
Oracle allocates memory from the shared pool when a new SQL statement is parsed, to store in the shared SQL area. The size of this memory depends on the complexity of the statement. If the entire shared pool has already been allocated, Oracle can deallocate items from the pool using a modified LRU (least recently used) algorithm until there is enough free space for the new statement’s shared SQL area. If Oracle deallocates a shared SQL area, the associated SQL statement must be reparsed and reassigned to another shared SQL area at its next execution.
See Also:
"Private SQL Area" on page 7-17
Oracle9i Database Performance Tuning Guide and Reference
PL/SQL Program Units and the Shared Pool
Oracle processes PL/SQL program units (procedures, functions, packages, anonymous blocks, and database triggers) much the same way it processes individual SQL statements. Oracle allocates a shared area to hold the parsed,
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System Global Area (SGA) Overview
compiled form of a program unit. Oracle allocates a private area to hold values specific to the session that runs the program unit, including local, global, and package variables (also known as package instantiation) and buffers for executing SQL. If more than one user runs the same program unit, then a single, shared area is used by all users, while each user maintains a separate copy of his or her private SQL area, holding values specific to his or her session.
Individual SQL statements contained within a PL/SQL program unit are processed as described in the previous sections. Despite their origins within a PL/SQL program unit, these SQL statements use a shared area to hold their parsed representations and a private area for each session that runs the statement.
Dictionary Cache
The data dictionary is a collection of database tables and views containing reference information about the database, its structures, and its users. Oracle accesses the data dictionary frequently during SQL statement parsing. This access is essential to the continuing operation of Oracle.
The data dictionary is accessed so often by Oracle that two special locations in memory are designated to hold dictionary data. One area is called the data dictionary cache, also known as the row cache because it holds data as rows instead of buffers (which hold entire blocks of data). The other area in memory to hold dictionary data is the library cache. All Oracle user processes share these two caches for access to data dictionary information.
See Also:
Chapter 4, "The Data Dictionary"
"Library Cache" on page 7-12
Allocation and Reuse of Memory in the Shared Pool
In general, any item (shared SQL area or dictionary row) in the shared pool remains until it is flushed according to a modified LRU algorithm. The memory for items that are not being used regularly is freed if space is required for new items that must be allocated some space in the shared pool. A modified LRU algorithm allows shared pool items that are used by many sessions to remain in memory as long as they are useful, even if the process that originally created the item terminates. As a result, the overhead and processing of SQL statements associated with a multiuser Oracle system is minimized.
When a SQL statement is submitted to Oracle for execution, Oracle automatically performs the following memory allocation steps:
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1.Oracle checks the shared pool to see if a shared SQL area already exists for an identical statement. If so, that shared SQL area is used for the execution of the subsequent new instances of the statement. Alternatively, if there is no shared SQL area for a statement, Oracle allocates a new shared SQL area in the shared pool. In either case, the user’s private SQL area is associated with the shared SQL area that contains the statement.
Note: A shared SQL area can be flushed from the shared pool, even if the shared SQL area corresponds to an open cursor that has not been used for some time. If the open cursor is subsequently used to run its statement, Oracle reparses the statement, and a new shared SQL area is allocated in the shared pool.
2.Oracle allocates a private SQL area on behalf of the session. The location of the private SQL area depends on the type of connection established for the session.
Oracle also flushes a shared SQL area from the shared pool in these circumstances:
When the ANALYZE statement is used to update or delete the statistics of a table, cluster, or index, all shared SQL areas that contain statements referencing the analyzed schema object are flushed from the shared pool. The next time a flushed statement is run, the statement is parsed in a new shared SQL area to reflect the new statistics for the schema object.
If a schema object is referenced in a SQL statement and that object is later modified in any way, the shared SQL area is invalidated (marked invalid), and the statement must be reparsed the next time it is run.
If you change a database’s global database name, all information is flushed from the shared pool.
The administrator can manually flush all information in the shared pool to assess the performance (with respect to the shared pool, not the data buffer cache) that can be expected after instance startup without shutting down the current instance. The statement ALTER SYSTEM FLUSH SHARED_POOL is used to do this.
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