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Partitioning facilitates the management of very large tables and indexes using divide and conquer logic. Partitioning introduces the concept of a partition key that is used to segregate data based on a certain range value, a list of specific values, or the value of a hash function. If I were to put the benefits of partitioning in some sort of order, it would be 1. Increases availability of data: This attribute is applicable to all system types, be they OLTP or warehouse systems by nature. 2. Eases administration of large segments by removing them from the database: Performing administrative operations on a 100GB table, such as a reorganization to remove migrated rows or to reclaim whitespace left in the table after a purge of old information, would be much more onerous than performing the same operation ten times on individual 10GB table partitions. Additionally, using partitions, we might be able to conduct a purge routine without leaving whitespace behind at all, removing the need for a reorganization entirely! 3. Improves the performance of certain queries: This is mainly beneficial in a large warehouse environment where we can use partitioning to eliminate large ranges of data from consideration, avoiding accessing this data at all. This will not be as applicable in a transactional system, since we are accessing small volumes of data in that system already. 4. May reduce contention on high-volume OLTP systems by spreading out modifications across many separate partitions: If you have a segment experiencing high contention, turning it into many segments could have the side effect of reducing that contention proportionally. Let s take a look at each of these potential benefits of using partitioning.

Let s examine when you might use the interactive mode in a Data Pump Export job. Suppose that you started a job in the evening at work and left for home. At midnight, you check the status of the job and find that it s barely moving. You can easily start another session, and then connect to the running job and monitor it by using the ATTACH command. When you do this, the running job does not pause. Instead, it opens an interactive window into the running session so you can change some parameters to hasten the crawling export job via a special set of interactive Data Pump Export commands. Using the ATTACH parameter, you can restart jobs that are stalled because of a lack of space in the file system, instead of having to start a new job from the beginning. This feature comes in especially handy when dealing with exports and imports of large amounts of data. Listing 14-6 shows an example of using the ATTACH command. Listing 14-6. Using the ATTACH Command to Attach to a Stopped Job [orcl] $ expdp system/sammyy1 ATTACH=system.sys_export_schema_01 Export: Release 11.1.0.6.0 - Production on Tuesday, 25 March, 2008 11:58:08 Copyright (c) 2003, 2007, Oracle. All rights reserved. Job: SYS_EXPORT_SCHEMA_01 Owner: SYSTEM Operation: EXPORT Creator Privs: FALSE GUID: F24953A52C006A63E0340060B0B2C268 Start Time: Monday, 14 March, 2005 11:03:03 Mode: SCHEMA Instance: orcl Max Parallelism: 1

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If a table has 100 rows and each row has a LOB with 7KB of data in it, you can be sure that there will be 100 chunks allocated If you set the CHUNK size to 32KB, you will have 100 32KB chunks allocated If you set the CHUNK size to 8KB, you will have (probably) 100 8KB chunks allocated The point is, a chunk is used by only one LOB entry (two LOBs will not use the same CHUNK) If you pick a chunk size that does not meet your expected LOB sizes, you could end up wasting an excessive amount of space For example, if you have that table with 7KB LOBs on average, and you use a CHUNK size of 32KB, you will be wasting approximately 25KB of space per LOB instance.

Every application goes through changes over time to improve features and fix bugs in the software. There is a constant cycle of development, testing, and implementation, and the DBA plays an important role in that cycle. Change management is the process of properly migrating new code, and the Oracle DBA needs to understand the process that s in place in his or her organization. In addition to updating application code, the Oracle DBA is also responsible for ensuring that all the latest changes to the database software are also evaluated and adopted. These so-called software patches are usually made available through Oracle s MetaLink service. In fact, the latest Oracle Enterprise Manager (OEM) enables you to connect directly to MetaLink and download and apply software patches. In Oracle Database 11g, you can use two new change management features, Database Replay and SQL Performance Analyzer, to find out ahead of time the impact of system changes, including a database or server upgrade, on SQL and database performance. I discuss both of these important features in 20.

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@ORA10G> CREATE TABLE emp 2 ( empno int, 3 ename varchar2(20) 4 ) 5 PARTITION BY HASH (empno)

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