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How Can I Retrieve a Complete List of Tables in an Oracle Database?

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How Can I Retrieve a Complete List of Tables in an Oracle Database?

Accessing a Complete Inventory of Oracle Database Tables

Database administrators and analysts frequently need a complete list of tables within an Oracle database. This guide outlines several methods to achieve this, detailing the SQL queries and necessary permissions.

DBA_TABLES View: Comprehensive Database View

Users with DBA privileges can leverage the DBA_TABLES data dictionary view for a detailed list of all database tables. The following query returns the table owner and name:

<code class="language-sql">SELECT owner, table_name
FROM dba_tables;</code>

Note that non-DBA users will require appropriate permissions. The DBA can grant explicit access to DBA_TABLES, or assign the SELECT ANY DICTIONARY privilege or the SELECT_CATALOG_ROLE role to enable access.

ALL_TABLES View: User-Specific Access

For users lacking DBA privileges, the ALL_TABLES view offers an alternative. This view shows tables accessible to the user's account:

<code class="language-sql">SELECT owner, table_name
FROM all_tables;</code>

This provides a more restricted list, focusing only on tables within the user's accessible schemas.

USER_TABLES View: Tables Owned by the User

If a user only requires a list of tables they personally own, the USER_TABLES view is sufficient:

<code class="language-sql">SELECT table_name
FROM user_tables;</code>

This view limits results to tables owned by the current user, excluding those in other schemas.

Older Data Dictionary Views: Avoiding Legacy Methods

Oracle includes older data dictionary views (e.g., TAB, DICT). While functional in some cases, these are generally discouraged due to potential compatibility issues and limitations compared to the more modern views.

In summary, DBA_TABLES provides the most complete view for privileged users. ALL_TABLES and USER_TABLES offer appropriate alternatives based on user permissions and requirements. It's recommended to avoid the older data dictionary views for optimal compatibility and reliability.

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