There are different types of tables in Siebel. Conventional Siebel tables contain data entered by end users or feeds from external systems. All Siebel tables include the following system columns:
Standard SQL may be used to determine historical growth rates:
SQL> select count(*), trunc(created, 'MM') from siebel.s_contact group by trunc(created, 'MM');
Some tables are internal tables used by server components. The following tables are volatile tables containing records that are queued for processing by a server component:
If the number of records in these tables is unusually high or continuously increasing, it may indicate a backlog or an underlying performance issue.