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In this chapter, we will investigate why you might consider using partitioning. The reasons range from increased availability of data to reduced administrative (DBA) burdens and, in certain situations, increased performance. Once you have a good understanding of the reasons for using partitioning, we ll look at how you may partition tables and their corresponding indexes. The goal of this discussion is not to teach you the details of administering partitions, but rather to present a practical guide to implementing your applications with partitions. We will also discuss the important fact that partitioning of tables and indexes is not a guaranteed fast = true setting for the database. It has been my experience that many developers and DBAs believe that increased performance is an automatic side effect of partitioning an object. Partitioning is just a tool, and one of three things will happen when you partition an index or table: the application using these partitioned tables might run slower, might run faster, or might be not be affected one way or the other. I put forth that if you just apply partitioning without understanding how it works and how your application can make use of it, then the odds are you will negatively impact performance by just turning it on. Lastly, we ll investigate a very common use of partitions in today s world: supporting a large online audit trail in an OLTP and other operational systems. We ll discuss how to incorporate partitioning and segment space compression to efficiently store online a large audit trail and provide the ability to archive old records out of this audit trail with minimal work.

As I mentioned earlier in this chapter, the interactive mode of Data Pump is quite different from the interactive export and import mode in the older utilities. Traditionally, the interactive mode gave you the chance to enter a limited set of export/import parameters at the command line in response to the queries made by the export or import utility. You use the interactive mode in the new Data Pump technology only to intervene in the middle of a running job, to either suspend the job or modify some aspects of it. You can enter the interactive mode of Data Pump Export in either of two ways: Use the Ctrl+C keyboard combination during a Data Pump Export job, if you want to enter the interactive mode from the same session where you are running the Data Pump job. Use a separate session or even a separate server to attach yourself to a running session by using what else the ATTACH command. (You can also attach to a stopped job.) When you successfully attach yourself to a job, you ll be able to use specific export parameters in an interactive mode. I use the word parameters, but you may also refer to these as interactive export commands.

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The CREATE TABLE statement returned from DBMS_METADATA previously included the following: LOB ("TXT") STORE AS BASICFILE ( CHUNK 8192 ) LOBs are stored in chunks; the index that points to the LOB data points to individual chunks of data Chunks are logically contiguous sets of blocks and are the smallest unit of allocation for LOBs, whereas normally a block is the smallest unit of allocation The CHUNK size must be an integer multiple of your Oracle blocksize this is the only valid value You must take care to choose a CHUNK size from two perspectives First, each LOB instance (each LOB value stored out of line) will consume at least one CHUNK A single CHUNK is used by a single LOB value.

Note In the Data Pump Export (and Import) utility, the only way to get into an interactive mode of operation is by using the Ctrl+C sequence or by opening another session and attaching yourself to that session. You cannot start an interactive Data Pump session from the command line.

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