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Using set without any options or arguments takes the echo output and assigns each output word using a positional parameter. The parameter can then be reused. This works fine in most instances. However, if $1 is a negative value, the set command interprets the - sign as a switch. It then complains about the switch not being valid. The workaround for this is to use the double-dash switch for set. This will tell set not to process any further arguments that begin with + or -.

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Even though the C++ type system and .NET s CTS have certain similarities, wrapping C++ classes to managed classes often results in bad surprises. Obviously, if C++ features that do not have equivalent managed features are used, wrapping can be difficult. As an example, consider a class library that uses multiple inheritance intensively. Even if the class library uses only C++ constructs that have similar counterparts in the native world, mapping is not always obvious. Let s have a look at some different issues in turn.

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 TERMOUT OFF SET PAGESIZE 0 SET ECHO OFF SET 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 (see 24) to load data into text files.

There are two major reasons why you should seriously consider dropping indexes on a large table before performing a direct-path load using the NOLOGGING option. First, it may take you a longer time to do the load with the indexes included with the table data. Second, if you leave indexes on, there will be redo records generated by the changes that will be made to the index structure during the load.

Even if you choose to load data using the NOLOGGING option, there will be considerable redo generated to mark the changes being made to the indexes. In addition, there will always be some redo to support the data dictionary, even during a NOLOGGING data load operation. The best strategy here is to drop the indexes and rebuild them after the tables are created.

While you re performing a direct load, the instance may fail halfway through, SQL*Loader may run out of space that it needs to update the index, or SQL*Loader may encounter duplicate values for the index keys. This situation is referred to as the indexes left unusable condition, as the indexes will be unusable upon instance recovery. In such cases, it may be better to create the indexes after the load is complete.

One other workaround for this is somewhat of a brute-force tactic but may be necessary depending on the age of the system or shell you re working with. You prepend some arbitrary character (not a - sign) to the beginning of the echo output to protect against switch evaluation. Once the variables are set, you strip off the first character of the first variable using cut so you are left with the original value.

You can use the same SQL*Loader run to load into multiple tables. Here s an example that shows how to load data into two tables simultaneously: LOAD DATA INFILE * INSERT INTO TABLE dept WHEN recid = 1 (recid FILLER POSITION(1:1) INTEGER EXTERNAL, deptno POSITION(3:4) INTEGER EXTERNAL, dname POSITION(8:21) CHAR) INTO TABLE emp WHEN recid <> 1 (recid FILLER POSITION(1:1) INTEGER EXTERNAL, empno POSITION(3:6) INTEGER EXTERNAL, ename POSITION(8:17) CHAR, deptno POSITION(19:20) INTEGER EXTERNAL) In the preceding example, data from the same data file is simultaneously loaded into two tables, dept and emp, based on whether or not the recid field value is 1.

In the range-list-partitioning method, you first partition the data based on a range of values. You then use list partitioning to break up the first set of partitions, using a list of discrete values. Listing 5-11 shows an example of how to create a range-list-partitioned table. Listing 5-11. Creating a Range-List-Partitioned Table SQL> 2 3 4 5 6 7 8 9 CREATE TABLE quarterly_regional_sales (ticket_no NUMBER, sale_year INT NOT NULL, sale_month INT NOT NULL, sale_day DATE, destination_city CHAR(3), start_city CHAR(3)) PARTITION BY RANGE(sale_day) SUBPARTITION BY LIST (start_city)

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