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This quick tour of SQL showed you what SQL can do and illustrated the style of the SQL language, using eight of the most commonly used SQL statements. To summarize: SQL is used to retrieve data from the database, using the SELECT statement. You can retrieve all or part of the stored data, sort it, and ask SQL to summarize the data, using totals and averages. SQL is used to update the database, by adding new data with the INSERT statement, deleting data with the DELETE statement, and modifying existing data with the UPDATE statement. SQL is used to control access to the database, by granting and revoking specific privileges for specific users with the GRANT and REVOKE statements. SQL is used to create the database by defining the structure of new tables and dropping tables when they are no longer needed, using the CREATE and DROP statements.

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Recall that the host variables used in the INSERT, DELETE, and UPDATE statements in the previous examples were input host variables In contrast, the host variables specified in the INTO clause of the singleton SELECT statement are output host variables Each host variable named in the INTO clause receives a single column from the row of query results The select list items and the corresponding host variables are paired in sequence, as they appear in their respective clauses, and the number of query results columns must be the same as the number of host variables In addition, the data type of each host variable must be compatible with the data type of the corresponding column of query results Most DBMS brands will automatically handle reasonable conversions between DBMS data types and the data types supported by the programming language.

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crystal reports pdf 417

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During the first half of the 1980s, the relational database vendors struggled for commercial acceptance of their products. The relational products had several disadvantages when compared to the traditional database architectures. The performance of relational databases was seriously inferior to that of traditional databases. Except for the IBM products, the

For example, most DBMS products will convert DECIMAL data retrieved from the database into packed decimal (COMP-3) data before storing it in a COBOL variable, or into floating point data before storing it in a C variable The precompiler uses its knowledge of the host variable s data type to handle the conversion correctly..

FIGURE 17-19

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relational databases came from small upstart vendors And, except for the IBM products, the relational databases tended to run on minicomputers rather than on IBM mainframes The relational products did have one major advantage, however Their relational query languages (SQL, QUEL, and others) allowed users to pose ad hoc queries to the database and get immediate answers without writing programs As a result, relational databases began slowly turning up in information center applications as decisionsupport tools By May 1985, Oracle proudly claimed to have over 1000 installations Ingres was installed in a comparable number of sites DB2 and SQL/DS were also being slowly accepted and counted their combined installations at slightly over 1000 sites During the last half of the 1980s, SQL and relational databases were rapidly accepted as the database technology of the future The performance of the relational database products improved dramatically.

17:

1. The product that was ordered 2. The customer who placed the order 3. The salesperson who took the order For each of these relationships, different rules seem appropriate: The relationship between an order and the product that is ordered should probably use the RESTRICT rule for delete and update. It shouldn't be possible to delete product information from the database if there are still current orders for that product, or to change the product number. The relationship between an order and the customer who placed it should probably use the CASCADE rule for delete and update. You probably will delete a customer row from the database only if the customer is inactive or ends their relationship with the company. In this case, when you delete the customer, any current orders for that customer should also be deleted. Similarly, changes in a customer number should automatically propagate to orders for that customer. The relationship between an order and the salesperson who took it should probably use the SET NULL rule. If the salesperson leaves the company, any orders taken by that salesperson become the responsibility of an "unknown salesperson" until they are reassigned. Alternatively, the SET DEFAULT rule could be used to automatically assign these orders to the sales vice president. This relationship should probably use the CASCADE update rule, so that employee number changes automatically propagate to the ORDERS table.

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