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Data Pump was a new feature added in Oracle 10g Release 1 of the database. It was designed as a complete rewrite of the legacy export/import processes. Data Pump runs entirely in the server and the API to it is via PL/SQL. Since Data Pump runs in the server, support for performing the various Data Pump operations were added. The Data Pump master (DMnn) collects all inputs from client processes (it is the process that receives the API inputs) and then coordinates the worker processes (the DWnn) which perform the real work the DMnn processes do the actual processing of the metadata and data.

Note LOBs may be inline, or stored in the table. In that case, the LOB data would be cached, but this applies only to LOBs that are 4,000 bytes or less in size. We ll discuss this further in the IN ROW Clause section.

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Events staged in a queue may be dequeued explicitly by a messaging client or an application, and actions can be taken based on these events, including e-mail notification and cell phone transmission Data warehouse loading: Streams can capture changes made to a production database and send those changes over to a data warehouse During the apply process, you can apply transformations to the data before you load it in the target database Data protection: You can use the streams technology to maintain a logical standby database The logical standby database can remain open for read/write operations, and you can query it as updates are applied Standby databases are a good solution for offloading queries from your production database..

So, is that the complete list No, there are others. For example, Oracle Data Guard has a set of processes associated with it to facilitate the shipping of redo information from one database to another and apply it (see the Data Guard Concepts and Administration Guide from Oracle for details). There are Streams apply and capture processes as well. However, the preceding list covers most of the common background processes you |will encounter.

You can use Oracle Streams at multiple levels of granularity: database, schema, and table. Oracle Streams can use rules to configure the capture of changes for the entire database, a specific schema, or a set of tables.

Because each access is a physical I/O, it makes sense to segregate to their own disk those objects you know for a fact will be experiencing more physical I/O than most objects in real time (as the user accesses them) to their own disks. It should be noted that the lobindex and the lobsegment will always be in the same tablespace. You cannot have the lobindex and lobsegment in separate tablespaces. Much earlier releases of Oracle allowed you to separate them, but versions 8i Release 3 and later do not allow you to specify separate tablespaces for the lobindex and lobsegment. In fact, all storage characteristics of the lobindex are inherited from the lobsegment, as we ll see shortly.

The three basic elements of Oracle Streams technology are capture, staging, and consumption of events within the Oracle database. The capture process captures change information from the source database, at the table, schema, or database level. Streams capture events in one of two ways: explicitly or implicitly. Explicit capture is when users and applications manually enqueue events into a queue. These user-enqueued events can be redo log change records or messages of a user-defined type called user messages. In the implicit capture process, the server captures DML and DDL changes from the source database by mining the redo logs and archived redo logs. The implicit capture process, which is an Oracle background process, consists of the following components:

The TIMESTAMP type is very much like the DATE, with the addition of support for fractional seconds and time zones. We ll look at the TIMESTAMP type in the following three sections: one with regard to just the fractional second support but no time zone support, and the other two with regard to the two methods of storing the TIMESTAMP with time zone support.

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