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The term external table implies that a given table structure is mapped to a data file that s located in an operating system file When you create an external table, the only thing that happens in the database is the creation of new metadata entries in the data dictionary for the new table You can t change the data file s contents in any way while you re accessing its contents from within the database In other words, you can only use the SELECT command when you re dealing with external tables, not the INSERT, UPDATE, or DELETE command In reality, an external table is an interface to an external data file However, you may query this external table like a virtual table, just as you would query any regular Oracle table, which makes it a very powerful tool for data warehouse ETL activities.

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The loop assigns the first two positional parameters to foo and bar. It then outputs the value of all positional variables. The shift command drops the $1 value and promotes $2 and all other variables by one position. It then outputs the values of foo and bar for each iteration. The $* variable that is echoed holds all of the current positional parameters. Thus, after each iteration through the loop, the output of the line is shortened by one element. Note that this script is written in ksh, but it should work in all previously mentioned shells.

You can query external tables or join them with regular tables, without ever loading the external data into your database In addition, you may create other regular tables or views from the external tables, so this feature comes in handy during the population of data warehouses SQL*Loader and the external tables feature perform similarly in terms of data-loading speed, in most cases The two techniques offer you alternative methods of loading data into your database tables from external sources The following are the general advantages that the external table method of loading offers in comparison with the SQL*Loader method: You can query data in the external files before it s loaded into the tables You can perform an extensive range of transformations on the data during the load process itself SQL*Loader is limited in the number of data transformations you can perform.

You may choose to perform data transformation at the same time you re loading data into the tables This is called the pipelining of the two phases When you use SQL*Loader to load directly into the tables, you can t perform anything other than the most minimal data transformation at load time Consequently, major transformations must be done in a separate step from that of data loading External tables are suitable for large data loads that may have a onetime use in your database External tables save the time involved in creating real database tables and then aggregating the data dimensions for loading into other tables External tables eliminate the need to create staging or temporary tables, which are almost a must if you re using SQL*Loader to load the data from external sources You don t need any physical space even for the largest external table.

Once the data files are loaded into the operating system, you can create your external tables and start executing SQL queries against them If you need to load data remotely, or if your data doesn t need major transformations, SQL*Loader is the best way to go External tables are in no way as versatile as regular database tables, because they re read-only tables Furthermore, external tables suffer from the limitation that you can t index them Therefore, high-powered query work with these tables is impractical If the data in your staging tables needs to be indexed for some reason, then SQL*Loader is the only viable alternative The real benefit of the external tables feature is primarily realized in data warehousing.

For this function, a reasonable wrapper could be the following: void fWrapper(int% i) { int j = i; f(j); i = j; } A native int reference must be passed to call the native function Since there is no conversion from a tracking reference to a native reference, the argument must be marshaled manually Since there is a standard conversion from int to int&, a local variable of type int is used as a buffer for the by-reference argument Before the native function is called, this buffer is initialized with the value passed as the argument i When the native function returns to the wrapper, the value referred by the argument i is updated with the changes made to the buffer j As you can see in this sample, in addition to the costs of managed-unmanaged transitions, wrapper libraries often need extra processor cycles for type marshaling.

environments or in situations where you need to load and transform huge amounts of data when you first load an application.

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