Composite range-range partitioning is useful for applications that store time-dependent data on multiple time dimensions. Often these applications do not use one particular time dimension to access the data, but rather another time dimension, or sometimes both at the same time. For example, a web retailer wants to analyze its sales data based on when orders were placed, and when orders were shipped (handed over to the shipping company).
Other business cases for composite range-range partitioning include ILM scenarios, and applications that store historical data and want to categorize its data by range on another dimension.
Example 3-10 shows a range-range partitioned table
account_balance_history. A bank may use access to individual subpartitions to contact its customers for low-balance reminders or specific promotions relevant to a certain category of customers.
This example shows the use of interval partitioning. You can use interval partitioning in addition to range partitioning so that interval partitions are created automatically as data is inserted into the table. In this case 7-day (weekly) intervals are created, starting Monday, January 1, 2007.
Example 3-10 Creating a table with composite range-range partitioning
CREATE TABLE account_balance_history ( id NUMBER NOT NULL , account_number NUMBER NOT NULL , customer_id NUMBER NOT NULL , transaction_date DATE NOT NULL , amount_credited NUMBER , amount_debited NUMBER , end_of_day_balance NUMBER NOT NULL ) PARTITION BY RANGE(transaction_date) INTERVAL (NUMTODSINTERVAL(7,'DAY')) SUBPARTITION BY RANGE(end_of_day_balance) SUBPARTITION TEMPLATE ( SUBPARTITION unacceptable VALUES LESS THAN (-1000) , SUBPARTITION credit VALUES LESS THAN (0) , SUBPARTITION low VALUES LESS THAN (500) , SUBPARTITION normal VALUES LESS THAN (5000) , SUBPARTITION high VALUES LESS THAN (20000) , SUBPARTITION extraordinary VALUES LESS THAN (MAXVALUE) ) (PARTITION p0 VALUES LESS THAN (TO_DATE('01-JAN-2007','dd-MON-yyyy')));