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They are used to approximate numbers; they are not nearly as precise as the built-in Oracle NUMBER type described previously. Floating-point numbers are commonly used in scientific applications and are useful in many types of applications due to the fact that they allow arithmetic to be done in hardware (on the CPU, the chip) rather than in Oracle subroutines. Therefore, the arithmetic is much faster if you are doing real number-crunching in a scientific application, but you would not want to use floatingpoints to store financial information. For example, suppose you wanted to add together 0.3 and 0.1 as floats. You might think the answer is of course 0.4. You would be wrong (in floating point arithmetic). The answer is a little bit larger than 0.4: ops$tkyte%ORA11GR2> select to_char( 0.3f + 0.1f, '0.99999999999999' ) from dual; TO_CHAR(0.3F+0.1F ----------------0.40000000600000 This is not a bug, this is the way IEEE floating point numbers work. As a result, they are useful for a certain domain of problems, but definitely not for problems where dollars and cents count!

If you try to load any field larger than 255 bytes into a table, even if the table column is defined as VARCHAR2(2000) or a CLOB, SQL*Loader won t be able to load the data. You ll get an error informing you that the Field in datafile exceeds maximum length. To manage the load of the large field, you need to specify the size of the table column in the control file when you re matching table columns to the data fields, as in this example (for a table column called text): LOAD DATA INFILE '/u01/app/oracle/oradata/load/testload.txt' INSERT INTO TABLE test123 FIELDS TERMINATED BY ',' (text CHAR(2000))

Suppose you have a sequence named test_seq, and you want this sequence to be incremented each time you load a data record into your table. Here s how to do it: LOAD DATA INFILE '/u01/app/oracle/oradata/load/testload.txt' INSERT INTO TABLE test123 (test_seq.nextval,. . .)

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Note It is true that with a resizable SGA, you may grow and shrink this memory over time, but for the

Updates row 1; puts an exclusive lock on row 1, preventing other updates (but not reads). Row 1 now has $100. Reads row 2; balance = $250; sum = $750 so far. Reads row 3 balance = $400; sum = $1150 so far. Updates row 4; puts an exclusive lock on block 4, preventing other updates (but not reads). Row 4 now has $500.

You may sometimes want to get data out of the database table into flat files; for example, to later use this data to load data into Oracle tables in a different location. You can write complex scripts to do the job if there are a number of tables, but if there are few tables to load, you can use the following simple method of extracting data using SQL*Plus commands: SET SET SET SET TERMOUT OFF PAGESIZE 0 ECHO OFF FEED OFF

SET HEAD OFF SET LINESIZE 100 COLUMN customer_id FORMAT 999,999 COLUMN first_name FORMAT a15 COLUMN last_name FORMAT a25 SPOOL test.txt SELECT customer_id,first_name,last_name FROM customer; SPOOL OFF You may also use the UTL_FILE package to load data into text files.

Reads row 4; discovers that row 4 has been modified. It will actually roll back the block to make it appear as it did at time = T1. The query will read the value $100 from this block.

Contrast this with dedicated server, where anyone can use any memory not allocated to the SGA. So, if the SGA is much larger due to the UGA being located in it, where do the memory savings come from They comes from having that many fewer PGAs allocated. Each dedicated/shared server has a PGA. This is process information. It is sort areas, hash areas, and other process-related structures. It is this memory need that you are removing from the system by using shared server. If you go from using 5,000 dedicated servers to 100 shared servers, it is the cumulative sizes of the 4,900 PGAs (excluding their UGAs) you no longer need that you are saving with shared server.

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