Understanding the system tables and views in Netezza is crucial for database administrators, developers, and data analysts working with this powerful data warehouse platform. In this article, we will explore various system tables and views available in Netezza.
The PUBLIC table is the default schema that contains all user-defined objects, including tables, views, and stored procedures.
The SYSIBMADM schema contains system tables used for administration tasks such as creating users, managing authorizations, managing jobs, and more.
The SYSIBMADM schema contains system tables related to database administration and management tasks like catalog management, system statistics, and error handling.
The SYSIBMDIAG schema contains diagnostic tables used for troubleshooting and monitoring the performance of the Netezza system.
The DBADM\_DATABASE view provides information about all databases in the Netezza system, including their names, owners, and creation dates.
The SYSCAT.TABLES view lists all tables in the current schema, providing information such as table name, owner, and attributes like primary keys, foreign keys, and constraints.
The SYSIBM.SYSTABLES view provides an overview of all system tables in the Netezza database, including those found in the PUBLIC, SYSIBMADM, SYSIBMADM, and SYSIBMDIAG schemas.
The DBADM\_TABLESPACE view displays information about all table spaces in the Netezza system, including their names, sizes, and usage statistics.
The SYSIBM.SYSSTATS view displays various performance-related statistics for the Netezza system, such as memory usage, disk usage, I/O statistics, and more.
-- Example query to list all tables in the current schema
SELECT * FROM SYSCAT.TABLES WHERE TABLE_SCHEMA = 'your_schema_name';
-- Example query to list all databases in the Netezza system
SELECT DISTINCT SCHEMA_NAME as Database_Name, OWNER from DBADM_DATABASE;
Familiarizing yourself with the various system tables and views in Netezza is essential for effectively managing and optimizing your data warehouse. These system objects provide valuable insights into database structures, performance metrics, and system configurations.