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The Data Pump technology, which was new to Oracle Database 10g, is a server-side infrastructure for fast data movement between Oracle databases. The Data Pump technology enables DBAs to transfer large amounts of data and metadata at very high speeds compared with the older export/ import technology. Data Pump manages multiple parallel streams of data to achieve maximum throughput. Oracle claims that Data Pump enables you to decrease total export time by more than two orders of magnitude in most data-intensive export jobs. Imports are supposed to run 15 to 45 times faster than with the original import utility (the estimates are for single-thread operations; parallel threads will make the operations even faster). Much of the higher speed comes from using parallelism to read and write export dump files. Data Pump is a superset of the original export and import utilities, offering several different capabilities. Data Pump lets you estimate job times, perform fine-grained object selection, monitor jobs effectively, and directly load a database from a remote instance via the network. For compatibility purposes, Oracle still includes the old export and import utilities in Oracle Database 11g. Thus, you can continue to use older export and import scripts as usual, without any changes. Once you see how and why the newer Data Pump utilities are better than the older ones, you probably will choose the newer utilities, however. Oracle will eventually deprecate the original export utility, but it will support the original import utility forever. This means that you ll always have a way of importing dump files from earlier versions of Oracle. However, Data Pump Import will not

work with databases that are older than the Oracle Database 10g Release 1 (101) version Also note that the new Data Pump technology lets you export data only to disk You cannot use a tape drive when performing a Data Pump export Oracle Data Pump technology consists of two components: the Data Pump Export utility, to unload data objects from a database, and the Data Pump Import utility, to load data objects into a database You access the two Data Pump utilities through a pair of clients called expdp and impdp As their names indicate, the first of these corresponds to the Data Pump Export utility and the latter to the Data Pump Import utility You can control both Data Pump Export and Import jobs with the help of several parameters.

1. W. Wulf, E. Cohen, W. Corwin, A. Jones, R. Levin, C. Pierson, and F. Pollack, HYDRA: The Kernel of a Multiprocessor Operating System, Communications of the ACM, June 1974. R.J. Swan, A. Bechtolsheim, Kwok-Woon Lai, and John Ousterhout, The Implementation of the Cm* MultiMicroprocessor (proceedings of the National Computer Conference, Dallas, TX, June 1977). 2. Brett D. Fleisch, Distributed Shared Memory in a Loosely Coupled Distributed System, Proceedings of the ACM Workshop on Frontiers in Computer Communications Technology (New York: ACM Press, 1987). 3. Glenn E. Krasner and Stephen T. Pope, A Cookbook for Using the Model-View-Controller User Interface Paradigm in Smalltalk-80, Journal of Object-Oriented Programming, August/September 1988. 4. Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides, Design Patterns: Elements of Reusable Object-Oriented Software (Boston: Addison-Wesley Professional, 1995). 5. Barbara Hayes-Roth, A Blackboard Architecture for Control, Artificial Intelligence, July 1985. Robert Engelmore and Tony Morgan, Blackboard Systems (Boston: Addison-Wesley Professional, 1988). Vasudevan Jagannathan, Rajendra Dodhiawala, and Lawrence S. Baum, Blackboard Architectures and Applications (Perspectives in Artificial Intelligence) (Burlington, MA: Academic Press, 1989). 6. Gul Agha, ACTORS: A Model of Concurrent Computation in Distributed Systems (Cambridge, MA: The MIT Press, 1986).