9 Data Dictionary and Dynamic Performance Views

The central set of read-only reference tables and views of each Oracle database is known collectively as the data dictionary. The dynamic performance views are special views that are continuously updated while a database is open and in use.

Overview of the Data Dictionary

An important part of an Oracle database is its data dictionary, which is a read-only set of tables that provides administrative metadata about the database.

Purpose of the Data Dictionary

The data dictionary contains metadata describing the contents of the database.

For example, the data dictionary contains information such as the following:

  • The definitions of every schema object in the database, including default values for columns and integrity constraint information

  • The amount of space allocated for and currently used by the schema objects

  • The names of Oracle Database users, privileges and roles granted to users, and auditing information related to users

Data Management

The data dictionary is a central part of data management for every Oracle database.

For example, the database performs the following actions:

  • Accesses the data dictionary to find information about users, schema objects, and storage structures

  • Modifies the data dictionary every time that a DDL statement is issued

Because Oracle Database stores data dictionary data in tables, just like other data, users can query the data with SQL. For example, users can run SELECT statements to determine their privileges, which tables exist in their schema, which columns are in these tables, whether indexes are built on these columns, and so on.

Data Dictionary Separation in a CDB

In a CDB, the data dictionary metadata is split between the CDB root and the PDBs. From the user and application perspective, the data dictionary in each container in a CDB is separate.

In a newly created CDB that does not yet contain user data, the data dictionary in the CDB root contains only system metadata. For example, the TAB$ table contains rows that describe only Oracle-supplied tables, for example, TRIGGER$ and SERVICE$. The following graphic depicts three underlying data dictionary tables, with the red bars indicating rows describing the system.

Figure 9-1 Data Dictionary Metadata in the CDB Root

Description of Figure 9-1 follows
Description of "Figure 9-1 Data Dictionary Metadata in the CDB Root"

Assume that you create a PDB, and then create an hr schema containing the employees and departments tables in this PDB. The data dictionary in the PDB contains some rows that describe Oracle-supplied entities, and other rows that describe user-created entities. For example, the TAB$ table in the PDB dictionary has a row of metadata for the employees table and a row for the departments table.

Figure 9-2 Data Dictionary Architecture in a CDB

Description of Figure 9-2 follows
Description of "Figure 9-2 Data Dictionary Architecture in a CDB"

The preceding graphic shows that the data dictionary in the PDB contains pointers to the data dictionary in the CDB root. Internally, Oracle-supplied objects such as data dictionary table definitions and PL/SQL packages are represented only once in the CDB root. This architecture achieves two main goals within the CDB:

  • Reduction of duplication

    For example, instead of storing the source code for the DBMS_ADVISOR PL/SQL package in every PDB, the CDB stores the code only once in CDB$ROOT, which saves disk space.

  • Ease of database upgrade

    If the definition of a data dictionary table existed in every PDB, and if the definition were to change in a new release, then each PDB would need to be upgraded separately to capture the change. Storing the table definition only once in the CDB root eliminates this problem.

Data Dictionary Components

The data dictionary consists of base tables and views.

These objects are defined as follows:

  • Base tables

    These store information about the database. Only Oracle Database should write to and read these tables. Users rarely access the base tables directly because they are normalized and most data is stored in a cryptic format.

  • Views

    These decode the base table data into useful information, such as user or table names, using joins and WHERE clauses to simplify the information. The views contain the names and description of all objects in the data dictionary. Some views are accessible to all database users, whereas others are intended for administrators only.

Typically, data dictionary views are grouped in sets. In many cases, a set consists of three views containing similar information and distinguished from each other by their prefixes, as shown in the following table. By querying the appropriate views, you can access only the information relevant for you.

Table 9-1 Data Dictionary View Sets

Prefix User Access Contents Notes


Database administrators

All objects

Some DBA_ views have additional columns containing information useful to the administrator.


All users

Objects to which user has privileges

Includes objects owned by user. These views obey the current set of enabled roles.


All users

Objects owned by user

Views with the prefix USER_ usually exclude the column OWNER. This column is implied in the USER_ views to be the user issuing the query.

Not all views sets have three members. For example, the data dictionary contains a DBA_LOCK view but no ALL_LOCK view.

The system-supplied DICTIONARY view contains the names and abbreviated descriptions of all data dictionary views. The following query of this view includes partial sample output:


TABLE_NAME                     COMMENTS
------------------------------ ----------------------------------------
ALL_ALL_TABLES                 Description of all object and relational
                               tables accessible to the user
ALL_APPLY                      Details about each apply process that
                               dequeues from the queue visible to the
                               current user

See Also:

Container Data Objects in a CDB

A container data object is a table or view containing data pertaining to multiple containers or the whole CDB.

Container data privileges support a general requirement in which multiple PDBs reside in a single CDB, but with different local administration requirements. For example, if application DBAs do not want to administer locally, then they can grant container data privileges on appropriate views to the common users. In this case, the CDB administrator can access the data for these PDBs. In contrast, PDB administrators who do not want the CDB administrator accessing their data do not grant container data privileges.

Examples of container data objects are Oracle-supplied views whose names begin with V$ and CDB_. All container data objects have a CON_ID column. The following table shows the meaning of the values for this column.

Table 9-2 Container ID Values

Container ID Rows pertain to


Whole CDB





All Other IDs

User-created PDBs, application roots, or application seeds

In a CDB, for every DBA_ view, a corresponding CDB_ view exists. The owner of a CDB_ view is the owner of the corresponding DBA_ view. The following graphic shows the relationship among the different categories of dictionary views:

Figure 9-3 Dictionary Views in a CDB

Description of Figure 9-3 follows
Description of "Figure 9-3 Dictionary Views in a CDB"

When the current container is a PDB, a user can view data dictionary information for the current PDB only. When the current container is the CDB root, however, a common user can query CDB_ views to see metadata for the CDB root and for PDBs for which this user is privileged.


When queried from the CDB root, CDB_ and V$ views implicitly convert data to the AL32UTF8 character set. If a character set needs more bytes to represent a character when converted to AL32UTF8, and if the view column width cannot accommodate data from a specific PDB, then data truncation is possible.

The following table describes queries of CDB_ views. Each row describes an action that occurs after the action in the preceding row.

Table 9-3 Querying CDB_ Views

Operation Description
Enter password: ********

The SYSTEM user, which is common to all containers in the CDB, connects to the CDB root (see "Common User Accounts").



SYSTEM queries CDB_USERS to obtain the number of common users in the CDB root. The output indicates that 38 common users exist in CDB root.


SYSTEM queries CDB_USERS to determine the number of distinct containers in the CDB.

Enter password: ********

The SYSTEM user now connects to the PDB named hrpdb.


SYSTEM queries CDB_USERS. The output indicates that 48 common and local users exist in the current container, which is hrpdb.


SYSTEM queries DBA_USERS. The output is the same as the previous query. Because SYSTEM is not connected to the CDB root, the DBA_USERS view shows the same output as CDB_USERS. Because DBA_USERS only shows the users in the current container, it shows 48.

Views with the Prefix DBA_

Views with the prefix DBA_ show all relevant information in the entire database. DBA_ views are intended only for administrators.

The following sample query shows information about all objects in the database:


See Also:

Oracle Database Administrator’s Guide for detailed information on administrative privileges

Views with the Prefix ALL_

Views with the prefix ALL_ refer to the user's overall perspective of the database.

These views return information about schema objects to which the user has access through public or explicit grants of privileges and roles, in addition to schema objects that the user owns.

For example, the following query returns information about all the objects to which you have access:


Because the ALL_ views obey the current set of enabled roles, query results depend on which roles are enabled, as shown in the following example:

Role set.
Role set.

Application developers should be cognizant of the effect of roles when using ALL_ views in a stored procedure, where roles are not enabled by default.

Views with the Prefix USER_

The views most likely to be of interest to typical database users are those with the prefix USER_.

These views:

  • Refer to the user's private environment in the database, including metadata about schema objects created by the user, grants made by the user, and so on

  • Display only rows pertinent to the user, returning a subset of the information in the ALL_ views

  • Has columns identical to the other views, except that the column OWNER is implied

  • Can have abbreviated PUBLIC synonyms for convenience

For example, the following query returns all the objects contained in your schema:

The DUAL Table

DUAL is a small table in the data dictionary that Oracle Database and user-written programs can reference to guarantee a known result.

The dual table is useful when a value must be returned only once, for example, the current date and time. All database users have access to DUAL.

The DUAL table has one column called DUMMY and one row containing the value X. The following example queries DUAL to perform an arithmetical operation:

SQL> SELECT ((3*4)+5)/3 FROM DUAL;

See Also:

Oracle Database SQL Language Reference for more information about the DUAL table

How the Data Dictionary Works

The Oracle Database user account SYS owns all base tables and user-accessible views of the data dictionary.

During database operation, Oracle Database reads the data dictionary to ascertain that schema objects exist and that users have proper access to them. Oracle Database updates the data dictionary continuously to reflect changes in database structures, auditing, grants, and data.

For example, if user hr creates a table named interns, then the database adds new rows to the data dictionary that reflect the new table, columns, segment, extents, and the privileges that hr has on the table. This new information is visible the next time the dictionary views are queried.

Data in the base tables of the data dictionary is necessary for Oracle Database to function. Only Oracle Database should write or change data dictionary information. No Oracle Database user should ever alter rows or schema objects contained in the SYS schema because such activity can compromise data integrity. The security administrator must keep strict control of this central account.


Altering or manipulating the data in data dictionary tables can permanently and detrimentally affect database operation.

Metadata and Data Links

The CDB uses an internal linking mechanism to separate data dictionary information.

Specifically, Oracle Database uses the following automatically managed pointers:

  • Metadata links

    Oracle Database stores metadata about dictionary objects only in the CDB root. For example, the column definitions for the OBJ$ dictionary table, which underlies the DBA_OBJECTS data dictionary view, exist only in the CDB root. As depicted in Figure 9-2, the OBJ$ table in each PDB uses an internal mechanism called a metadata link to point to the definition of OBJ$ stored in the CDB root.

    The data corresponding to a metadata link resides in its PDB, not in the CDB root. For example, if you create table mytable in hrpdb and add rows to it, then the rows are stored in the PDB data files, not in the CDB root data files.

    The data dictionary views in the PDB and in the CDB root contain different rows. For example, a new row describing mytable exists in the OBJ$ table in hrpdb, but not in the OBJ$ table in the CDB root. Thus, a query of DBA_OBJECTS in the CDB root and DBA_OBJECTS in hrdpb shows different results.

  • Data links


    Data links were called object links in Oracle Database 12c Release 1 (

    In some cases, Oracle Database stores the data (not only metadata) for an object only once in the application root of an application container. Consider an e-commerce company that has different PDBs for different regions. The application root might store a table named postal_codes, which lists all U.S. zip codes. Every application PDB in this container requires access to the common postal_codes table.

    An application PDB uses an internal mechanism called a data link to refer to the object in the application root. The application PDB in which the data link was created also stores the data link description. A data link inherits the data type of the object to which it refers.

  • Extended data link

    An extended data link is a hybrid of a data link and a metadata link. Like a data link, an extended data link refers to an object in an application root. However, the extended data link also refers to a corresponding object in the application PDB. For example, an application PDB might have an extended data link table that stores both U.S. zip codes and Canadian postal codes. Like a metadata link, the object in the application PDB inherits metadata from the corresponding object in the application root.

    When queried in the application root, an extended data-linked table fetches rows only from the application root, for example, just U.S. zip codes. However, when queried in an application PDB, an extended data-linked table fetches rows from both the application root and application PDB, for example, U.S. zip codes and Canadian postal codes.

Oracle Database automatically creates and manages metadata and data links to CDB$ROOT. Users cannot add, modify, or remove these links.

See Also:

Public Synonyms for Data Dictionary Views

Oracle Database creates public synonyms for many data dictionary views so users can access them conveniently.

The security administrator can also create additional public synonyms for schema objects that are used systemwide. Oracle recommends against using the same name for a private schema object and a public synonym.

Data Dictionary Cache

Much of the data dictionary information is in the data dictionary cache because the database constantly requires the information to validate user access and verify the state of schema objects.

The caches typically contain the parsing information. The COMMENTS columns describing the tables and their columns are not cached in the dictionary cache, but may be cached in the database buffer cache.

Other Programs and the Data Dictionary

Other Oracle Database products can reference existing views and create additional data dictionary tables or views of their own.

Oracle recommends that application developers who write programs referring to the data dictionary use the public synonyms rather than the underlying tables. Synonyms are less likely to change between releases.

Data Dictionary Storage

The data dictionary that stores the metadata for the CDB as a whole is stored only in the system tablespaces.

The data dictionary that stores the metadata for a specific PDB is stored in the self-contained tablespaces dedicated to this PDB. The PDB tablespaces contain both the data and metadata for an application back end. Thus, each set of data dictionary tables is stored in its own dedicated set of tablespaces.

See Also:

"The SYSTEM Tablespace" for more information about the SYSTEM tablespace

Overview of the Dynamic Performance Views

Throughout its operation, Oracle Database maintains a set of virtual tables that record current database activity.

These views are dynamic because they are continuously updated while a database is open and in use. The views are sometimes called V$ views because their names begin with V$.

Dynamic performance views contain information such as the following:

  • System and session parameters

  • Memory usage and allocation

  • File states (including RMAN backup files)

  • Progress of jobs and tasks

  • SQL execution

  • Statistics and metrics

The dynamic performance views have the following primary uses:

  • Oracle Enterprise Manager uses the views to obtain information about the database.

  • Administrators can use the views for performance monitoring and debugging.

See Also:

Oracle Database Reference for a complete list of the dynamic performance views

Contents of the Dynamic Performance Views

Dynamic performance views are called fixed views because they cannot be altered or removed by a database administrator. However, database administrators can query and create views on the tables and grant access to these views to other users.

SYS owns the dynamic performance tables, whose names begin with V_$. Views are created on these tables, and then public synonyms prefixed with V$. For example, the V$DATAFILE view contains information about data files. The V$FIXED_TABLE view contains information about all of the dynamic performance tables and views.

For almost every V$ view, a corresponding GV$ view exists. In Oracle Real Application Clusters (Oracle RAC), querying a GV$ view retrieves the V$ view information from all qualified database instances.

When you use the Database Configuration Assistant (DBCA) to create a database, Oracle automatically creates the data dictionary. Oracle Database automatically runs the catalog.sql script, which contains definitions of the views and public synonyms for the dynamic performance views. You must run catalog.sql to create these views and synonyms.

See Also:

Storage of the Dynamic Performance Views

Dynamic performance views are based on virtual tables built from database memory structures.

The views are not conventional tables stored in the database. Read consistency is not guaranteed for the views because the data is updated dynamically.

Because the dynamic performance views are not true tables, the data depends on the state of the database and database instance. For example, you can query V$INSTANCE and V$BGPROCESS when the database is started but not mounted. However, you cannot query V$DATAFILE until the database has been mounted.

Database Object Metadata

The DBMS_METADATA package provides interfaces for extracting complete definitions of database objects.

The definitions can be expressed either as XML or as SQL DDL. Oracle Database provides two styles of interface: a flexible, sophisticated interface for programmatic control, and a simplified interface for ad hoc querying.

See Also:

Oracle Database PL/SQL Packages and Types Reference for more information about DBMS_METADATA