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We briefly saw INTERVAL type used in the previous section. It is a way to represent a duration of time or an interval of time. We ll discuss two INTERVAL types in this section: the YEAR TO MONTH type, which is capable of storing a duration of time specified in years and months, and the DATE TO SECOND type, which is capable of storing a duration of time in days, hours, minutes, and seconds (including fractional seconds). Before we get into the specifics of the two INTERVAL types, I d like to look at the EXTRACT built-in function, which can be very useful when working with this type. The EXTRACT built-in function works on TIMESTAMPs and INTERVALs, and returns various bits of information from them, such as the time zone from a TIMESTAMP or the hours/days/minutes from an INTERVAL. Using the previous example, where we got the INTERVAL of 380 days, 10 hours, 20 minutes, and 29.878 seconds ops$tkyte@ORA10G> select dt2-dt1 2 from (select to_timestamp('29-feb-2000 3 'dd-mon-yyyy 4 to_timestamp('15-mar-2001 5 'dd-mon-yyyy 6 from dual ) 7 / 01:02:03.122000', hh24:mi:ss.ff') dt1, 11:22:33.000000', hh24:mi:ss.ff') dt2

SQL> SELECT * FROM sales_data; STORE_NAME SALES_2001 ------------------------- ---------shoe city trinkets galore 1400000 modern tools 1000000 toys and toys SQL>

So, when we insert 01-JAN-4712BC, the century byte is 53 and 53 100 = 47, the century we inserted. Because it is negative, we know that it is a BC date. This storage format also allows the dates to be naturally sortable in a binary sense. Since 4712 BC is less than 4710 BC, we d like a binary representation that supports that. By dumping those two dates, we can see that 01-JAN-4710BC is larger than the same day in 4712 BC, so they will sort and compare nicely: ops$tkyte@ORA11GR2> insert into t (x) values 2 ( to_date( '01-jan-4710bc', 3 'dd-mon-yyyybc hh24:mi:ss' ) ); 1 row created. ops$tkyte@ORA11GR2> select x, dump(x,10) d from t; X D --------- -----------------------------------

SALES_2002 --------------------------------500000 1500000 1200000 800000

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DT2-DT1 --------------------------------------------------------------------------+000000380 10:20:29.878000000 we can use EXTRACT to see how easy it is to pull out each bit of information: ops$tkyte@ORA10G> select extract( day from dt2-dt1 ) day, 2 extract( hour from dt2-dt1 ) hour, 3 extract( minute from dt2-dt1 ) minute, 4 extract( second from dt2-dt1 ) second 5 from (select to_timestamp('29-feb-2000 01:02:03.122000', 6 'dd-mon-yyyy hh24:mi:ss.ff') dt1, 7 to_timestamp('15-mar-2001 11:22:33.000000', 8 'dd-mon-yyyy hh24:mi:ss.ff') dt2

Your goal is to extract data from this table to a target table with a different format. The new table is named yearly_store_sales, and it lists the company sales figures differently each company s sales figure is listed by year. For example, in the original table, the store modern tools showed two yearly sales numbers in the same row: 1000000 and 1200000. In the new transformed table, these numbers should appear in different rows that is, the data should show the store/sales year combinations. To do this, the company name may appear more than once in this table: SQL> CREATE TABLE yearly_store_sales 2 (store_name VARCHAR2(25), 3 sales_year NUMBER, 4* total_sales NUMBER); Table created. SQL> Because table functions return sets of records, you need to create some special object structures to use table functions to transform data. The first object you need to create is an object type called yearly_store_sales_row, which reflects the records. Note that the structure of this type is the same as your target table, yearly_store_sales. SQL> 2 3 4 5* Type SQL> CREATE TYPE yearly_store_sales_row AS OBJECT( store_name varchar2(25), sales_year number, total_sales number); created.

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