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I Read a row of the inventory table to verify that a product is available. I Insert a new row in an order table and an order-items table to record the customer s order. I Update the row of the inventory table to reflect the decreased quantity available. The workload presents a large volume of short, simple database requests that typically read, write, or update individual rows and then commit a transaction. The same type of workload is presented by all of the most frequent types of transactions, such as: I Retrieving the price of a product I Checking the quantity of product available I Deleting an order I Updating a customer address I Raising a customer s credit limit In contrast, a typical business analysis transaction (generating an order analysis report) might involve these database accesses: I Join information from the orders, order-items, products, and customers tables I Summarize the detail from the orders table by product in a summary query I Compute the total order quantities for each product I Sort the resulting information by customer This workload presents a single, long-running query that is read-intensive. It processes many rows of the database (in this case, every order item) and involves computing totals and averages and summarizing data. These characteristics are typical of almost all business analysis queries, such as: I Which regions had the best performance last quarter I How did sales by product last quarter compare to last year I What is the trend line for a particular product s sales I Which customers are buying the highest-growth products I Which characteristics do those customers share The difference between the business intelligence and the OLTP workloads is substantial and makes it difficult or impossible for a single DBMS to serve both types of applications.

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Data Manipulation SELECT INSERT DELETE UPDATE Data Definition CREATE TABLE DROP TABLE ALTER TABLE CREATE VIEW DROP VIEW CREATE INDEX DROP INDEX CREATE SCHEMA DROP SCHEMA CREATE DOMAIN Adds a new table to the database Removes a table from the database Changes the structure of an existing table Adds a new view to the database Removes a view from the database Builds an index for a column Removes the index for a column Adds a new schema to the database Removes a schema from the database Adds a new data value domain Retrieves data from the database Adds new rows of data to the database Removes rows of data from the database Modifies existing database data

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/* Oracle PL/SQL statement block */ /* Declaration of any local variables */ declare . . . /* Specify the sequence of statements */ begin . . . /* Declare handling for exceptions */ exception . . . end;

Current data Tables organized to align with transaction structure Thousands of rows Predetermined for each type of transaction to be processed Tens Individual rows Many business transactions per second or minute Read, insert, and update Transaction throughput

All three sections of the block structure are optional. It s common to see the structure used with only the BEGIN END sequence to define a statement sequence, or with a DECLARE BEGIN END sequence to declare variables and a sequence of statements. As with Informix, the Oracle structures that specify conditional execution and looping have a self-defining end-of-statement marker, so sequences of statements within these structures do not necessarily need an explicit BEGIN END statement block structure.

Historical data Tables organized to be easy to understand and query Millions of rows Ad hoc, depending on the particular decision to be made Thousands to millions Groups (summary queries) Many minutes or hours per query Almost 100 percent read Query completion time

Part VI:

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Table 21-1.

In addition to stored procedures, most SPL dialects support a stored function capability. The distinction is that a function returns a single thing (such as a data value, an object, or an XML document) each time it is invoked, while a stored procedure can return many things or nothing at all. Support for returned values varies by SPL dialect. Functions are commonly used as column expressions in SELECT statements, and thus are invoked once per row in the result set, allowing the function to perform calculations, data conversion, and other processes to produce the returned value for the column. Following is a simple example of a stored function. Assume you want to define a stored procedure that, given a customer number, calculates the total current order amount for that customer. If you define the SQL procedure as a function, the total amount can be returned as its value. Figure 20-7 shows an Oracle function that calculates the total amount of current orders for a customer, given the customer number. Note the RETURN clause in the procedure definition, which tells the DBMS the data type of the value being returned. In most DBMS products, if you enter a function call via the interactive SQL capability, the function value is displayed in response. Within a stored procedure, you can call a stored function and use its return value in calculations or store it in a variable. Many SPL dialects also allow you to use a function as a user-defined function within SQL value expressions. This is true of the Oracle PL/SQL dialect, so this use of the function defined in Figure 20-7 within a search condition is legal.

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SELECT FROM WHERE AND COMPANY, NAME CUSTOMERS, SALESREPS CUST_REP = EMPL_NUM GET_TOT_ORDS(CUST_NUM) > 10000.00;

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