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One very useful extension provided by the standard is the WHEN clause that can be specified as part of a triggered action The WHEN clause is optional, and it operates like a WHERE clause for determining whether a triggered action will be carried out When.

Figure 20-22.

are knocked across the boundary between p- and n-silicon, which causes a flow of electrons around the circuit. We are now going to look at how the silicon for these solar cells is manufactured, using some things you can do at home.

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DBMS executes the particular type of statement specified in the trigger definition, it evaluates the search condition specified in the WHEN clause. The form of the search condition is exactly like the search condition in a WHERE clause, and it will produce either a TRUE or FALSE result. The triggered action is carried out only if the result is TRUE. To provide security for triggers, the SQL:1999 standard establishes a new TRIGGER privilege that may be granted for specific tables to specific users. With this privilege, a user may establish a trigger on the table. The owner of a table is always allowed to establish triggers on the table.

NUMERIC(precision,scale) Example: EMPLOYEE_HOURLY_RATE NUMERIC(5,2)

20:

Summary

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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ...

Stored procedures and triggers are two very useful capabilities for SQL databases used in transaction-processing applications: I Stored procedures allow you to predefine common database operations, and invoke them simply by calling the stored procedure, for improved efficiency and less chance of error. I Extensions to the basic SQL language give stored procedures the features normally found in programming languages. These features include local variables, conditional processing, branching, and special statements for row-by-row query results processing. I Stored functions are a special form of stored procedure that return a value. I Triggers are procedures whose execution is automatically initiated based on attempted modifications to a table. A trigger can be fired by an INSERT, DELETE, or UPDATE statement for the table. I There is wide variation in the specific SQL dialects used by the major DBMS brands to support stored procedures and triggers. I There is now an international standard for stored procedures (but not triggers); as one of the newer standards, it has not yet had a major impact on the actual implementation by leading DBMS vendors.

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Decimal An exact numeric type that includes a precision and scale. However, the precision actually used by the DBMS will be equal to or greater than the precision speci ed. This is a subtle difference compared with NUMERIC, intended to allow the DBMS type to be mapped to a data type native to the platform on which the DBMS runs, which likely has prede ned precision and scale. (A platform is a combination of an operating system and computer hardware, such as Windows XP on Intel, Linux on Intel, or Solaris on Sun.) The SQL syntax is

ne of the most important applications of SQL and relational database technology today is the rapidly growing area of data warehousing and business intelligence. The focus of data warehousing is to use accumulated data to provide information and insights for decision making. With the rising popularity of the World Wide Web and the direct interaction with customers that it provides, the amount of data available about customer behavior (reflected in their click-by-click journey through web pages) has literally exploded. Data warehousing advocates that this data be treated as a valuable asset, and that it be translated, through analysis, into competitive advantage. The complementary process of data mining involves in-depth analysis of historical and trend data to find valuable insights about customer behavior and cross-dependencies. SQL-based relational databases are a key technology underlying data warehousing applications. Business intelligence applications have exploded in popularity over the last decade. Corporate IS surveys show that the majority of large corporations have some type of business analysis or data warehousing projects underway. In many ways, data warehousing represents relational databases coming full circle, back to their roots. When relational databases first appeared on the scene, the established databases (such as IBM s hierarchical IMS database) were squarely focused on business transactionprocessing applications. Relational technology gained popularity by focusing on decision support applications and their ad hoc queries. As the popularity of these applications grew, most relational database vendors shifted their focus to compete for new transaction-processing applications. With data warehousing, attention has turned back to what was formerly called decision support, albeit with new terminology and much more powerful tools than those of 15 years earlier.

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The following requirements must be satisfied before proceeding to the tutorial on Creating barcodes in a RDLC report.. ConnectCode .Net Barcode SDK is ...
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