
- •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

ROWID and UROWID Datatypes
The RAW and LONG RAW datatypes are used for data that is not to be interpreted (not converted when moving data between different systems) by Oracle. These datatypes are intended for binary data or byte strings. For example, LONG RAW can be used to store graphics, sound, documents, or arrays of binary data. The interpretation depends on the use.
RAW is a variable-length datatype like the VARCHAR2 character datatype, except Oracle Net Services (which connects user sessions to the instance) and the Import and Export utilities do not perform character conversion when transmitting RAW or LONG RAW data. In contrast, Oracle Net Services and Import/Export automatically convert CHAR, VARCHAR2, and LONG data between the database character set and the user session character set (set by the NLS_LANGUAGE parameter of the ALTER SESSION statement), if the two character sets are different.
When Oracle automatically converts RAW or LONG RAW data to and from CHAR data, the binary data is represented in hexadecimal form with one hexadecimal character representing every four bits of RAW data. For example, one byte of RAW data with bits 11001011 is displayed and entered as ’CB.’
LONG RAW data cannot be indexed, but RAW data can be indexed.
See Also: Oracle9i Application Developer’s Guide - Fundamentals for information about other restrictions on the LONG RAW datatype
ROWID and UROWID Datatypes
Oracle uses a ROWID datatype to store the address (rowid) of every row in the database.
Physical rowids store the addresses of rows in ordinary tables (excluding index-organized tables), clustered tables, table partitions and subpartitions, indexes, and index partitions and subpartitions.
Logical rowids store the addresses of rows in index-organized tables.
A single datatype called the universal rowid, or UROWID, supports both logical and physical rowids, as well as rowids of foreign tables such as non-Oracle tables accessed through a gateway.
A column of the UROWID datatype can store all kinds of rowids. The value of the COMPATIBLE initialization parameter must be set to 8.1 or higher to use UROWID columns.
See Also: "Rowids in Non-Oracle Databases" on page 12-23
12-16 Oracle9i Database Concepts

ROWID and UROWID Datatypes
The ROWID Pseudocolumn
Each table in an Oracle database internally has a pseudocolumn named ROWID. This pseudocolumn is not evident when listing the structure of a table by executing a SELECT * FROM ... statement, or a DESCRIBE ... statement using SQL*Plus, nor does the pseudocolumn take up space in the table. However, each row’s address can be retrieved with a SQL query using the reserved word ROWID as a column name, for example:
SELECT ROWID, last_name FROM employees;
You cannot set the value of the pseudocolumn ROWID in INSERT or UPDATE statements, and you cannot delete a ROWID value. Oracle uses the ROWID values in the pseudocolumn ROWID internally for the construction of indexes.
You can reference rowids in the pseudocolumn ROWID like other table columns (used in SELECT lists and WHERE clauses), but rowids are not stored in the database, nor are they database data. However, you can create tables that contain columns having the ROWID datatype, although Oracle does not guarantee that the values of such columns are valid rowids. The user must ensure that the data stored in the ROWID column truly is a valid ROWID.
See Also: "How Rowids Are Used" on page 12-21
Physical Rowids
Physical rowids provide the fastest possible access to a row of a given table. They contain the physical address of a row (down to the specific block) and allow you to retrieve the row in a single block access. Oracle guarantees that as long as the row exists, its rowid does not change. These performance and stability qualities make rowids useful for applications that select a set of rows, perform some operations on them, and then access some of the selected rows again, perhaps with the purpose of updating them.
Every row in a nonclustered table is assigned a unique rowid that corresponds to the physical address of a row’s row piece (or the initial row piece if the row is chained among multiple row pieces). In the case of clustered tables, rows in different tables that are in the same data block can have the same rowid.
A row’s assigned rowid remains unchanged unless the row is exported and imported using the Import and Export utilities. When you delete a row from a table and then commit the encompassing transaction, the deleted row’s associated rowid can be assigned to a row inserted in a subsequent transaction.
A physical rowid datatype has one of two formats:
Native Datatypes 12-17

ROWID and UROWID Datatypes
The extended rowid format supports tablespace-relative data block addresses and efficiently identifies rows in partitioned tables and indexes as well as nonpartitioned tables and indexes. Tables and indexes created by an Oracle8i (or higher) server always have extended rowids.
A restricted rowid format is also available for backward compatibility with applications developed with Oracle7 or earlier releases.
Extended Rowids
Extended rowids use a base 64 encoding of the physical address for each row selected. The encoding characters are A-Z, a-z, 0-9, +, and /. For example, the following query:
SELECT ROWID, last_name FROM employees WHERE department_id = 20;
can return the following row information:
ROWID LAST_NAME
------------------ ----------
AAAAaoAATAAABrXAAA BORTINS AAAAaoAATAAABrXAAE RUGGLES AAAAaoAATAAABrXAAG CHEN AAAAaoAATAAABrXAAN BLUMBERG
An extended rowid has a four-piece format, OOOOOOFFFBBBBBBRRR:
OOOOOO: The data object number that identifies the database segment (AAAAao in the example). Schema objects in the same segment, such as a cluster of tables, have the same data object number.
FFF: The tablespace-relative datafile number of the datafile that contains the
row (file AAT in the example).
BBBBBB: The data block that contains the row (block AAABrX in the example). Block numbers are relative to their datafile, not tablespace. Therefore, two rows with identical block numbers could reside in two different datafiles of the same tablespace.
RRR: The row in the block.
You can retrieve the data object number from data dictionary views USER_ OBJECTS, DBA_OBJECTS, and ALL_OBJECTS. For example, the following query returns the data object number for the employees table in the SCOTT schema:
SELECT DATA_OBJECT_ID FROM DBA_OBJECTS
WHERE OWNER = ’SCOTT’ AND OBJECT_NAME = ’EMPLOYEES’;
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ROWID and UROWID Datatypes
You can also use the DBMS_ROWID package to extract information from an extended rowid or to convert a rowid from extended format to restricted format (or vice versa).
See Also: Oracle9i Application Developer’s Guide - Fundamentals for information about the DBMS_ROWID package
Restricted Rowids
Restricted rowids use a binary representation of the physical address for each row selected. When queried using SQL*Plus, the binary representation is converted to a VARCHAR2/hexadecimal representation. The following query:
SELECT ROWID, last_name FROM employees
WHERE department_id = 30;
can return the following row information:
ROWID ENAME
------------------ ----------
00000DD5.0000.0001 KRISHNAN 00000DD5.0001.0001 ARBUCKLE 00000DD5.0002.0001 NGUYEN
As shown, a restricted rowid’s VARCHAR2/hexadecimal representation is in a three-piece format, block.row.file:
The data block that contains the row (block DD5 in the example). Block numbers are relative to their datafile, not tablespace. Therefore, two rows with identical block numbers could reside in two different datafiles of the same tablespace.
The row in the block that contains the row (rows 0, 1, 2 in the example). Row numbers of a given block always start with 0.
The datafile that contains the row (file 1 in the example). The first datafile of every database is always 1, and file numbers are unique within a database.
Examples of Rowid Use
You can use the function SUBSTR to break the data in a rowid into its components. For example, you can use SUBSTR to break an extended rowid into its four components (database object, file, block, and row):
SELECT ROWID,
Native Datatypes 12-19

ROWID and UROWID Datatypes
SUBSTR(ROWID,1,6) "OBJECT",
SUBSTR(ROWID,7,3) "FIL",
SUBSTR(ROWID,10,6) "BLOCK",
SUBSTR(ROWID,16,3) "ROW"
FROM products;
ROWID |
OBJECT |
FIL |
BLOCK |
ROW |
------------------ |
------ |
--- |
------ |
---- |
AAAA8mAALAAAAQkAAA |
AAAA8m |
AAL |
AAAAQk |
AAA |
AAAA8mAALAAAAQkAAF |
AAAA8m |
AAL |
AAAAQk |
AAF |
AAAA8mAALAAAAQkAAI |
AAAA8m |
AAL |
AAAAQk |
AAI |
Or you can use SUBSTR to break a restricted rowid into its three components (block, row, and file):
SELECT ROWID, SUBSTR(ROWID,15,4) "FILE",
SUBSTR(ROWID,1,8) "BLOCK",
SUBSTR(ROWID,10,4) "ROW"
FROM products;
ROWID |
FILE |
BLOCK |
ROW |
------------------ |
---- |
-------- |
---- |
00000DD5.0000.0001 |
0001 |
00000DD5 |
0000 |
00000DD5.0001.0001 |
0001 |
00000DD5 |
0001 |
00000DD5.0002.0001 |
0001 |
00000DD5 |
0002 |
Rowids can be useful for revealing information about the physical storage of a table’s data. For example, if you are interested in the physical location of a table’s rows (such as for table striping), the following query of an extended rowid tells how many datafiles contain rows of a given table:
SELECT COUNT(DISTINCT(SUBSTR(ROWID,7,3))) "FILES" FROM tablename;
FILES
--------
2
See Also:
Oracle9i SQL Reference
PL/SQL User’s Guide and Reference
Oracle9i Database Performance Tuning Guide and Reference
for more examples using rowids
12-20 Oracle9i Database Concepts