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The name clause in an EXCLUDE or INCLUDE parameter is optional. It s purely a filtering device, allowing you finer selectivity within an object type (index, table, and so on). If you leave out the name clause component, all objects of the specified type will be excluded or included. In the following example, Oracle excludes all indexes from the export job, since there is no name clause to filter out only some of the indexes: EXCLUDE=INDEX You can also use the EXCLUDE parameter to exclude an entire schema, as shown in the following example: EXCLUDE=SCHEMA:"='HR'" The INCLUDE parameter is the precise opposite of the EXCLUDE parameter: it forces the inclusion of only a set of specified objects in an export. As in the case of the EXCLUDE parameter, you can use a name clause to qualify exactly which objects you want to export. Thus, you have the ability to selectively choose objects at a fine-grained level. The following three examples show how you can use the name clause to limit the selection of objects: INCLUDE=TABLE:"IN ('EMPLOYEES', 'DEPARTMENTS')" INCLUDE=PROCEDURE INCLUDE=INDEX:"LIKE 'EMP%'" The first example is telling the Data Pump job to include only two tables: employees and departments. In the second example, the INCLUDE parameter specifies that only procedures should be included in this export job. The third example shows how you can specify that only those indexes that start with EMP should be part of the export job. The following example shows how you must use slashes (\) to escape the double quotation marks: $ expdp scott/tiger DUMPFILE=dumphere:file%U.dmp schemas=SCOTT EXCLUDE=TABLE:\"='EMP'\", EXCLUDE=FUNCTION:\"='MY_FUNCTION''\",

Oracle provides you with a whole set of complementary tools and techniques aimed at reducing the time needed to load data into the database while simplifying the work involved Oracle s ETL solution includes the following components: External tables: External tables provide a way to merge the loading and transformation processes Using external tables will enable you to eliminate cumbersome and time-consuming intermediate staging tables during data loading External tables are discussed in the Using External Tables to Load Data section in this chapter Multitable inserts: Using the multitable insert feature, you can insert data into more than one table at the same time, using different criteria for the various tables This capability eliminates the additional step of first dividing data into separate groupings and then performing data loading Multitable inserts are discussed in the Using Multitable Inserts section in this chapter.

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Once you create the hash cluster, you create the cluster tables just as you would in a regular cluster. The HASHKEYS value specifies the number of unique hash values that can be generated by the hash function.

Reserved Read status command/response Read variable command/response Write variable command/response Read clock variable command/response Write clock variable command/response Set trap address/port command response Trap response Reserved

Upserts: This is simply a made-up name indicating the technique by which you can either insert data into a table or just update the rows with a single SQL statement: MERGE The MERGE statement will insert new data and update data if the rows already exist in the table This simplifies your loading process because you don t need to worry about whether a table already contains the data Upserts are discussed in the Using the MERGE Statement section in this chapter Table functions: Table functions produce a set of rows as output Table functions return a collection type instance (nested table and VARRAY data types) Table functions are similar to views, but, instead of defining the transform declaratively in SQL, you define it procedurally in PL/SQL.

Oracle indexes provide speedy access to table rows by storing sorted values of specified columns, and using those sorted values to easily look up the associated table rows, much the same way you use a book s index to quickly find a particular item you re interested in Indexes enable you to find a row with a certain column value without your having to look at more than a small fraction of the total rows in the table Thus, the proper use of indexes will reduce your expensive disk I/Os to a bare minimum Indexes are purely optional database structures, and they re maintained completely by Oracle Using an index involves a tradeoff between speedy retrieval of query results and slower updates and insertions.

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