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In this chapter, we will discuss data loading and unloading in other words, how to get data into and out of an Oracle database. The main focus of the chapter is on the following bulk data loading tools: SQL*Loader (pronounced sequel loader ): This is still a predominant method for loading data. External tables: This is a feature with Oracle9i and above that permits access to operating system files as if they were database tables and, in Oracle 10g and above, even allows for the creation of operating system files as extracts of tables.

You can also use the PURGE TABLESPACE command to remove all objects from the Recycle Bin that are part of that tablespace, as shown here: SQL> PURGE TABLESPACE users; The following command will remove all objects of a single user, scott (along with any dependent objects that live in other tablespaces), from the tablespace named users: SQL> PURGE TABLESPACE users USER scott;

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INSERT INTO DEPT ( DEPTNO, DNAME, LOC, LAST_UPDATED, ENTIRE_LINE ) VALUES ( :DEPTNO, :DNAME, :LOC, :LAST_UPDATED, :ENTIRE_LINE ); It would then parse the input stream, assigning the values to its bind variables, and then execute the statement. When you begin to use functions, SQLLDR incorporates them into its INSERT statement. In the preceding example, the INSERT statement SQLLDR builds will look like this: INSERT INTO T (DEPTNO, DNAME, LOC, LAST_UPDATED, ENTIRE_LINE) VALUES ( :DEPTNO, upper(:dname), upper(:loc), :last_updated, :deptno||:dname||:loc||:last_updated ); It then prepares and binds the inputs to this statement, and executes it. So, pretty much anything you can think of doing in SQL, you can incorporate into your SQLLDR scripts. With the addition of the CASE statement in SQL, doing this can be extremely powerful and easy. For example, say your input file could have dates in the following formats: HH24:MI:SS: Just a time; the date should default to SYSDATE. DD/MM/YYYY: Just a date; the time should default to midnight. HH24:MI:SS DD/MM/YYYY: The date and time are both explicitly supplied. You could use a control file like this: LOAD DATA INFILE * INTO TABLE DEPT REPLACE FIELDS TERMINATED BY ',' TRAILING NULLCOLS (DEPTNO, DNAME "upper(:dname)", LOC "upper(:loc)", LAST_UPDATED "case when length(:last_updated) > 9 then to_date(:last_updated,'hh24:mi:ss dd/mm/yyyy') when instr(:last_updated,':') > 0 then to_date(:last_updated,'hh24:mi:ss') else to_date(:last_updated,'dd/mm/yyyy') end" ) BEGINDATA 10,Sales,Virginia,12:03:03 17/10/2005 20,Accounting,Virginia,02:23:54 30,Consulting,Virginia,01:24:00 21/10/2005 40,Finance,Virginia,17/8/2005

To permanently remove all objects from a tablespace, without them moving to the Recycle Bin, you can use the DROP TABLESPACE . . . INCLUDING CONTENTS command. In addition, any objects belonging to the tablespace that are currently in the Recycle Bin are immediately purged. The DROP TABLESPACE command by itself, without the INCLUDING CONTENTS clause, will fail unless the tablespace is empty. If you wish to permanently remove all of your objects currently in the Recycle Bin, you can use the PURGE RECYCLEBIN command (or PURGE USER_RECYCLEBIN). These will simply remove any objects belonging to the user issuing the command. In order to empty the entire Recycle Bin of all objects, regardless of ownership, you can use PURGE DBA_RECYCLEBIN. However, for obvious reasons, you need the SYSDBA privilege to issue this command.

In the area of data unloading, we ll look at two techniques: Flat file unload: The flat file unloads will be custom developed implementations, but provide you with a result that is portable to other types of systems (even a spreadsheet). Data Pump unload: Data Pump is a binary format proprietary to Oracle and accessible via the Data Pump tool and external tables.

The DROP USER . . . CASCADE command will instruct Oracle to drop the user and all objects owned by the user from the database and will automatically purge any objects in the Recycle Bin that belong to that user.

When lock escalation occurs, the system is decreasing the granularity of your locks. An example would be the database system turning your 100 row-level locks against a table into a single table-level lock. You are now using one lock to lock everything and, typically, you are also locking a whole lot more data than you were before. Lock escalation is used frequently in databases that consider a lock to be a scarce resource and overhead to be avoided.

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