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The external table feature (introduced in 9i) gives you the ability to query a flat file using a select statement. It is typically used to load huge amounts of data from files to tables in a data warehouse system. It can, however, be very useful in reading text data from PL/SQL or, for that matter, using JDBC. We ll go through a small example to read a text file, but you ll need to read through the Oracle documentation (see Oracle Database SQL Reference [10g Release 1]) for the detailed capabilities and options available with the external table feature. Just to emphasize again, you can use this feature only with text files, and you can only read from the operating system files you cannot write to them using external tables. First, we need to create a directory object in which our file exists as follows: benchmark@ORA10G> create or replace directory my_dir as 'C:\TEMP'; Directory created. Our example file, et_data.txt, exists in this directory and contains employee ID and employee number fields for some employees: 1, 2, 3, 4, 'Varun Menon' 'Chaandni Sneha' 'John Edgar' 'Jones Poe' We now create an external table that points to the preceding file as follows: benchmark@ORA10G> create table my_emp_et 2 ( 3 empno number, 4 ename varchar2(20) 5 ) 6 organization external 7 ( 8 type oracle_loader 9 default directory my_dir 10 access parameters 11 ( 12 fields terminated by ',' 13 optionally enclosed by "'" 14 missing field values are null 15 ) 16 location( 'et_data.txt' ) 17 ); Table created.

For instance, to display the present date, you can just instantiate a new Date object, and using the format method, pass in the intended format provider (as listed in Table 4-3).

The organization external keyword tells Oracle that this table actually is an external table. The default directory option specifies my_dir to be the directory under which the file for this table exists. The next three lines specify that the fields are terminated by a comma (,) are optionally enclosed by a single quote ('), and any fields that are missing should be treated as null. Finally, the location option specifies the file name to be et_data.txt. We are now ready to run a normal select on this table as follows: benchmark@ORA10G> select * from my_emp_et; EMPNO ---------1 2 3 4 ENAME -------------------Varun Menon Chaandni Sneha John Edgar Jones Poe

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benchmark@ORA10G> select empno, ename 2 from my_emp_et 3 where empno <= 3; EMPNO ---------1 2 3 ENAME -------------------Varun Menon Chaandni Sneha John Edgar

function displayDate() { var today = new Date(); alert (today.format('D')); }

You can thus use this facility to do the following, among other things: Do a one-time load from files into databases using the insert into select * from <external table> syntax. This is the most common usage of external tables. Get the contents of a text file on the database server in your JDBC layer by using a simple select statement. Of course, all the amazing flexibility that comes along with the select statement is available for you to use. Treat a structured file as a table with individual columns (as we did previously) and run selects on them to get data, which can be filtered or transformed on its way to JDBC. If the file is not structured (it uses a free format) then, in most cases, you could use the new line as a separator to read the data in JDBC using simple selects.

Table 12-2 shows a comparison of the features of three alternatives useful in server-side text and/or binary file reading and manipulation.

Can be used to read and write text and binary files. It is the only alternative that supports both text and binary files. Useful in reading and writing text and binary files in userdefined chunk sizes. You can also do random access using functions such as fseek (see the Oracle documentation for further details).

The formatted date as the result of the preceding script is shown in Figure 4-2.

Useful in using selects to read text data. It is simple to use and allows you to transform/manipulate resulting data using the power that comes with the select statement. Also, the JDBC code is relatively simple and does not have to deal with streams (we use the ResultSet interface to get the data as strings). The maximum size of one row (or chunk) is limited to 4,000 bytes (the size of VARCHAR2 in SQL). Works well in JDBC for most text cases. In free-format texts, one text chunk bounded by the delimiter should not exceed 4,000 bytes (e.g., if the delimiter is a new line, then each line should be less than 4,000 bytes in size).

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