ASP.NET Web PDF Document Viewer/Editor Control Library

KornShell (ksh): Both firstvar and secondvar are available within the loop. Only secondvar is available outside the loop. This is useful because even though you can t use the original read variable, you can assign it to some other variable, which is then available when the loop completes. Bash (bash): Both firstvar and secondvar are available within the loop. Neither firtvar nor secondvar is available after the loop completes. Public Domain Korn Shell (pdksh): Both firstvar and secondvar are available within the loop. Neither firstvar nor secondvar is available after the loop completes. Bourne (sh): Both firstvar and secondvar are available within the loop. Neither firstvar nor secondvar is available after the loop completes.

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The direct-path loading method supports a far more limited number of transformations during the load Oracle recommends that you use the conventional loading method for small data loads and the direct-path loading method for larger loads You ll learn the specifics of direct-path loading after examining the main SQL*Loader features and using the conventional loading method External data loading is covered in the Using External Tables to Load Data section later in this chapter Loading data using the SQL*Loader utility involves two main steps: 1 Select the data file that contains the data you want to load The data file usually ends with the extension dat and contains the data you want to load The data could be in several formats 2 Create a control file.

The control file tells SQL*Loader how to map the data fields to an Oracle table and specifies if the data needs to be transformed in some way The control file usually ends with the extension ctl The control file will provide the mapping of the table columns to the data fields in the input file There is no requirement that you have a separate data file for the load If you wish, you can include the data in the control file itself, after you specify the load control information such as the field specification and so on The data can be supplied in fixed-length fields or in free format, separated by a character such as a comma (,) or a pipe (|) Let s begin by studying the all-important SQL*Loader control file..

SQL> CREATE TABLE sales_data 2 (ticket_no NUMBER, 3 sale_year INT NOT NULL, 4 sale_month INT NOT NULL, 5 sale_day INT NOT NULL) 6 PARTITION BY HASH (ticket_no) 7 PARTITIONS 4 8* STORE IN (ts1,ts2,ts3,ts4); Table created. SQL> In the preceding example, four hash partitions are created in four tablespaces. We won t know in which partition the data for June 10, 2004, is stored. Oracle determines the storage based on a hashing algorithm, and you have no control whatsoever over the row-to-partition mapping.

There may be times when you ll want to partition the data not on the basis of a time range or evenly distributed hashing scheme, but rather by known values, such as city, territory, or some such attribute List partitioning is preferable to range or hash partitioning when your data is distributed among a set number of discrete values For example, you may want to group a company s sales data according to regions rather than quarters List partitioning enables you to group your data on the same lines as real-world groupings of data, rather than arbitrary ranges of time or some such criterion For example, when you re dealing with state-wide totals in the United States, you ll be dealing with 50 different sets of data.

This is the workaround option I discussed originally. The input will be sent to a temporary file and then redirected to the back of the loop.

It makes more sense in this situation to partition your data into four or five regions, rather than use the range method to partition the data alphabetically Listing 5-9 shows how to use list partitioning to partition the ticket_sales table The partitions are made up of groups of flight-originating cities, shown by the start_city column Listing 5-9 Creating a List-Partitioned Table SQL> CREATE TABLE sales_data 2 (ticket_no NUMBER, 3 sale_year INT NOT NULL, 4 sale_month INT NOT NULL, 5 sale_day INT NOT NULL, 6 destination_city CHAR(3), 7 start_city CHAR(3), 8 PARTITION BY LIST (start_city) 9 (PARTITION northeast_sales values ('NYC','BOS','PEN') TABLESPACE ts1, 10 PARTITION southwest_sales values ('DFW','ORL','HOU') TABLESPACE ts2, 11 PARTITION pacificwest_sales values('SAN','LOS','WAS') TABLESPACE ts3, 12* PARTITION southeast_sales values ('MIA','CHA','ATL') TABLESPACE ts4); Table created SQL> In the previous list partitioning example, the partition description specifies a list of values for the start_city column Our table creation statement created four list partitions.