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The first type we will look at is a range partitioned table. The following CREATE TABLE statement creates a range partitioned table using the column RANGE_KEY_COLUMN. All data with a RANGE_ KEY_COLUMN strictly less than 01-JAN-2005 will be placed into the partition PART_1, and all data with a value strictly less than 01-JAN-2006 will go into partition PART_2. Any data not satisfying either of those conditions (e.g., a row with a RANGE_KEY_COLUMN value of 01-JAN-2007) will fail upon insertion, as it cannot be mapped to a partition: ops$tkyte@ORA10GR1> CREATE TABLE range_example 2 ( range_key_column date , 3 data varchar2(20) 4 ) 5 PARTITION BY RANGE (range_key_column)

Although you can use as many columns as you wish as part of the key, it is easier to handle small keys that are (ideally) based on just one or two attributes..

Using the NETWORK_LINK parameter, you can perform an import across the network without using dump files. The NETWORK_LINK parameter enables the Data Pump Import utility to connect directly to the source database and transfer data to the target database. Here s an example:

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Increased availability derives from the independence of each partition. The availability (or lack thereof) of a single partition in an object does not mean the object itself is unavailable. The optimizer is aware of the partitioning scheme that is in place and will remove unreferenced partitions from the query plan accordingly. If a single partition is unavailable in a large object, and your query can eliminate this partition from consideration, then Oracle will successfully process the query. To demonstrate this increased availability, we ll set up a hash partitioned table with two partitions, each in a separate tablespace. We ll create an EMP table that specifies a partition key on the EMPNO column; EMPNO will be our partition key. In this case, this structure means that for each row inserted into this table, the value of the EMPNO column is hashed to determine the partition (and hence the tablespace) into which the row will be placed: ops$tkyte@ORA11GR2> CREATE TABLE emp 2 ( empno int, 3 ename varchar2(20) 4 ) 5 PARTITION BY HASH (empno) 6 ( partition part_1 tablespace p1, 7 partition part_2 tablespace p2 8 ) 9 / Table created. Next, we insert some data into the EMP table and then, using the partition-extended table name, inspect the contents of each partition:

6 ( PARTITION part_1 VALUES LESS THAN 7 (to_date('01/01/2005','dd/mm/yyyy')), 8 PARTITION part_2 VALUES LESS THAN 9 (to_date('01/01/2006','dd/mm/yyyy')) 10 ) 11 / Table created.

$ impdp hr/hr TABLES=employees DIRECTORY=dpump_dir1 SCHEMAS=SCOTT \ EXCLUDE=CONSTRAINT NETWORK_LINK=finance In this example, finance is the network link It is a valid database link, created by you beforehand using the CREATE DATABASE LINK command Thus, the database shown in the database link is your source for the import job Data Pump will import the table employees from the remote database finance to your instance where you run the Data Pump Import job In a network import, the Metadata API executes on the remote instance, extracts object definitions, and re-creates necessary objects in your local instance It then fetches data from the remote database tables and loads them in your local instance, using the INSERT INTO SELECT SQL statement, as follows: SQL> INSERT INTO employees(emp_name,emp_id) .

ops$tkyte@ORA11GR2> insert into emp select empno, ename from scott.emp 2 / 14 rows created. ops$tkyte@ORA11GR2> select * from emp partition(part_1); EMPNO ENAME ---------- -------------------7369 SMITH 7499 ALLEN 7654 MARTIN 7698 BLAKE 7782 CLARK 7839 KING 7876 ADAMS 7934 MILLER 8 rows selected. ops$tkyte@ORA11GR2> select * from emp partition(part_2); EMPNO ENAME ---------- -------------------7521 WARD 7566 JONES 7788 SCOTT 7844 TURNER 7900 JAMES 7902 FORD 6 rows selected. You should note that the data is somewhat randomly assigned. That is by design here. Using hash partitioning, we are asking Oracle to randomly but hopefully evenly distribute our data across many partitions. We cannot control the partition into which data goes; Oracle decides that based on hashing the hash key value itself. Later, when we look at range and list partitioning, we ll see how we can control what partitions receive which data. Now, we take one of the tablespaces offline (simulating, for example, a disk failure), thus making unavailable the data in that partition: ops$tkyte@ORA11GR2> alter tablespace p1 offline; Tablespace altered. Next, we run a query that hits every partition, and we see that this query fails: ops$tkyte@ORA11GR2> select * from emp; select * from emp * ERROR at line 1: ORA-00376: file 12 cannot be read at this time ORA-01110: data file 12: '/home/ORA11GR2/oradata/ORA11GR2 ORA11GR2/datafile/p1.dbf' However, a query that does not access the offline tablespace will function as normal; Oracle will eliminate the offline partition from consideration. I use a bind variable in this particular example just to

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