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CHAPTER 9 RETRIEVAL: SOME ADVANCED FEATURES
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14 rows selected. SQL>
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Analytical Functions
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For analytical functions, you can use all of the regular group functions, such as SUM, MAX, MIN, AVG, and COUNT (see Section 8.6 of 8). On top of that, Oracle SQL offers an impressive list of additional analytical functions that can be used only for window queries. Two of these are LAG and LEAD, which are demonstrated in Listing 9-23. Listing 9-23. LAG and LEAD Analytical Functions SQL> break on empno SQL> 2 3 4 5 6 7 8 9 10 11 select empno, begindate, msal , LAG(msal) over ( partition by empno order by empno, begindate ) as prev_sal , LEAD(msal) over ( partition by empno order by empno, begindate ) as next_sal from history order by empno, begindate;
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EMPNO BEGINDATE MSAL PREV_SAL NEXT_SAL -------- ----------- -------- -------- -------7369 01-JAN-2000 950 800 01-FEB-2000 800 950 7499 01-JUN-1988 1000 1300 01-JUL-1989 1300 1000 1500 01-DEC-1993 1500 1300 1700 01-OCT-1995 1700 1500 1600 01-NOV-1999 1600 1700
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CHAPTER 9 RETRIEVAL: SOME ADVANCED FEATURES
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... 7902 01-SEP-1998 01-OCT-1998 15-MAR-1999 01-JAN-2000 01-AUG-2000 7934 01-FEB-1998 01-MAY-1998 01-FEB-1999 01-JAN-2000 79 rows selected. SQL> Applying these analytical functions to the HISTORY table, we get an historic overview per employee/begin date period, showing the monthly salary, the previous monthly salary, and the next monthly salary. If a previous or next value for the salary is inapplicable or unavailable, you get a null value instead. See Oracle SQL Reference for more details and examples of analytical functions. To begin with, along with LAG and LEAD, check out RANK and DENSE_RANK. 1400 1650 2500 3000 3000 1275 1280 1290 1300 1400 1650 2500 3000 1275 1280 1290 1650 2500 3000 3000 1280 1290 1300
9.7 Flashback Features
This section covers some Oracle-specific extensions of the SQL language. Although they might appear slightly off topic, the flashback features are simply too valuable to remain uncovered in this book. In 6, we talked about the concept of read consistency. Read consistency means that your SQL statements always get a consistent view of the data, regardless of what other database users or applications do with the same data at the same time. The Oracle DBMS provides a snapshot of the data at the point in time when the statement execution started. In the same chapter, you also saw that you can change your session to be READ ONLY, so that your query results depend on the data as it was at the beginning of your session. The Oracle DBMS has its methods to achieve this, without using any locking techniques affecting other database users or applications. How this is done is irrelevant for this book. This section shows some interesting ways to use the same technique, by stating explicitly in your queries that you want to go back in time.
Note The flashback query feature may need some configuration efforts before you can use it. This is the
task of a database administrator. Therefore, it is not covered in this book. See the Oracle documentation for more details.
Before we start our flashback query experiments, we first create a temporary copy of the EMPLOYEES table, as shown in Listing 9-24. This allows us to perform various experiments without
CHAPTER 9 RETRIEVAL: SOME ADVANCED FEATURES
destroying the contents of the real EMPLOYEES table. We also change the NLS_TIMESTAMP_FORMAT parameter with the ALTER SESSION command, to influence how timestamp values are displayed on the screen. Listing 9-24. Preparing for the Flashback Examples SQL> create table e as select * from employees; Table created. SQL> alter session set nls_timestamp_format='DD-MON-YYYY HH24:MI:SS.FF3'; Session altered. SQL> select localtimestamp as table_created from dual; TABLE_CREATED -----------------------------------------------------01-OCT-2004 10:53:42.746 SQL> update e set msal = msal + 10; 14 rows updated. SQL> commit; Commit complete. SQL> select localtimestamp as after_update_1 from dual; AFTER_UPDATE_1 ------------------------------------------------------01-OCT-2004 10:54:26.138 SQL> update e set msal = msal - 20 where 3 rows updated. SQL> commit; Commit complete. deptno = 10;
SQL> select localtimestamp as after_update_2 from dual; AFTER_UPDATE_2 ------------------------------------------------------01-OCT-2004 10:54:42.602 SQL> delete from e where 8 rows deleted. SQL> commit; Commit complete. deptno <= 20;
SQL> select localtimestamp as now from dual; NOW ------------------------------------------------------01-OCT-2004 10:55:25.623 SQL>
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