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You should not look toward partitions as a way to massively improve query performance in an OLTP system In fact, in a traditional OLTP system, you must apply partitioning with care so as to not negatively affect runtime performance In a traditional OLTP system, most queries are expected to return virtually instantaneously, and most of the retrievals from the database are expected to be via very small index range scans Therefore, the main performance benefits of partitioning listed previously would not come into play Partition elimination is useful where you have full scans of large objects, because it allows you to avoid full scanning large pieces of an object However, in an OLTP environment, you are not full scanning large objects (if you are, you have a serious design flaw).

Ensure that the tables you want to transport are all placed in their own separate tablespaces. To ensure that your tablespaces are self-contained, you need to use the TRANSPORT_SET_CHECK procedure in the Oracle-supplied DBMS_TTS package. As of Oracle Database 10g Release 2, you can also use the TRANSPORT_FULL_CHECK parameter while performing the export, to ensure that the tablespaces don t contain dependent objects. For example, setting the TRANSPORT_FULL_CHECK=Y specification ensures that the tablespaces you are exporting won t contain tables without their indexes or any indexes without the parent tables. Also, alter the tablespace to make it read-only. Once you complete the export of the metadata in the next step, you can make the tablespace read/write again.

PART_2

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Even if you partition your indexes, any increase in performance achieved by scanning a smaller index will be miniscule if you actually achieve an increase in speed at all If some of your queries use an index and they cannot eliminate all but one partition from consideration, you may find your queries actually run slower after partitioning since you now have 5, 10, or 20 small indexes to probe, instead of one larger index We will investigate this in much more detail later when we look at the types of partitioned indexes available to us Having said all this, there are opportunities to gain efficiency in an OLTP system with partitions For example, they may be used to increase concurrency by decreasing contention They can be used to spread the modifications of a single table out over many physical partitions.

Export the metadata describing the objects in the tablespace(s), by using the TRANSPORTABLE_TABLESPACES parameter, as described earlier in this chapter.

If your platforms are compatible, but the endian formats are different, you need to convert the datafiles. You may perform the conversion before transporting the tablespace set or after finishing the transport. You can convert the datafiles before transporting the tablespaces, using the CONVERT TABLESPACE command in the Recovery Manager (RMAN) utility, as shown in Listing 14-14. Listing 14-14. Using the RMAN CONVERT TABLESPACE Command to Convert Datafiles RMAN> CONVERT TABLESPACE finance_tbs01 2> TO PLATFORM 'HP-UX (64-bit)' 3> FORMAT '/temp/%U'; Starting backup at 09-MAY-08 using channel ORA_DISK_1 channel ORA_DISK_1: starting datafile conversion input datafile fno=00011 name=C:\ORACLE\TEST02.DBF converted datafile=C:\TEMP\DATA_D-FINANCE_I-2343065311_TS-TODAY_FNO-11_05FLAUM6 channel ORA_DISK_1: datafile conversion complete, elapsed time: 00:00:17 Finished backup at 09-MAY-08 RMAN> exit Recovery Manager complete. This example shows how you can use the FORMAT parameter to tell Oracle what format the newly converted file should be and in which directory to put it. But as you can see, Oracle gives the file a name. If you want to specify the name of the datafile yourself, perform the conversion using the DB_FILE_NAME_CONVERT clause. Listing 14-15 shows the results of using the CONVERT TABLESPACE command with the DB_FILE_NAME_CONVERT clause. Listing 14-15. Converting Filenames with the DB_FILE_NAME_CONVERT Clause RMAN> CONVERT TABLESPACE test 2> TO PLATFORM 'HP-UX (64-bit)' 3> DB_FILE_NAME_CONVERT = 'c:\oracle\test.dbf','c:\temp\test.dbf';

Instead of having a single table segment with a single index segment, you might have 20 table partitions and 20 index partitions It could be like having 20 tables instead of 1, hence contention would be decreased for this shared resource during modifications As for parallel operations, as we ll investigate in more detail in the next chapter Parallel Execution, you do not want to do a parallel query in an OLTP system You would reserve your use of parallel operations for the DBA to perform rebuilds, create indexes, gather statistics, and so on The fact is that in an OLTP system, your queries should already be characterized by very fast index accesses, and partitioning will not speed that up very much, if at all This does not mean that you should avoid partitioning for OLTP; it means that you shouldn t expect partitioning to offer massive improvements in performance.

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