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Conceptually, a view is a virtual table within a database. The row/column data in the view is not physically stored in the database: it is derived from actual data in the underlying source tables. If the view definition is relatively simple (for example, if the view is a simple row/column subset of a single table, or a simple join based on foreign key relationships), it is fairly easy for the DBMS to translate database operations on the view into operations on the underlying tables. In this situation, the DBMS will perform this translation on the fly, operation by operation, as it processes database queries or updates. In general, operations that update the database through a view (INSERT, UPDATE, or DELETE operations) will always be carried out in this way by translating the operation into one or more operations on the source tables. If the view definition is more complicated, the DBMS may need to materialize the view to carry out a query against it. That is, the DBMS will actually carry out the query that defines the view and store the query results in a temporary table within the database. Then the DBMS carries out the requested query against this temporary table to obtain the requested results. When the query processing has finished, the DBMS discards the temporary table. Figure 14-6 shows this materialization process. Clearly, materializing the view contents can be a very high-overhead operation. If the typical database workload contains many queries that require view materialization, the total throughput capacity of the DBMS can be dramatically reduced. To address this problem, some commercial DBMS products support materialized views. When you define a view as a materialized view, the DBMS will carry out the query that upc internet Solutii UPC performante pentru afacerea ta! Companii mari ...
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SoftNews Net SRL (Forumul Softpedia) si partenerii sai prelucreaza unele date personale folosind tehnologii precum cookies pentru a putea analiza traficul web ... (17.23) price of $2340, and has been assigned order number 113069. Here are the INSERT statements that add the new customer and the order to the database: Insert a new customer and order for Mr. Jacobsen. and the failure locus itself, substituting n a = Sa and n m = Sm in Eq. (17.23), is expressible as Sa Sm + Se Sut INSERT INTO CUSTOMERS (COMPANY, CUST_NUM, CREDIT_LIMIT, CUST_REP) VALUES ('InterCorp', 2126, 15000.00, 111); 1 row inserted. INSERT INTO ORDERS (AMOUNT, MFR, PRODUCT, QTY, ORDER_DATE, ORDER_NUM, CUST, REP) VALUES (2340.00, 'ACI', '41004', 20, CURRENT_DATE, 113069, 2126, 111); 1 row inserted. (17.24) As this example shows, the INSERT statement can become lengthy if there are many columns of data, but its format is still very straightforward The second INSERT statement uses the system constant CURRENT DATE in its VALUES clause, causing the current date to be inserted as the order date This system constant is specified in the SQL standard and is supported by many of the popular SQL products, including Oracle and MySQL Other brands of DBMS such as SQL Server and DB2 UDB provide other system constants or builtin functions to obtain the current date and time You can use the INSERT statement with interactive SQL to add rows to a table that grows very rarely, such as the OFFICES table. MPEG-4 Version 1 identified four audio profiles. These are as follows: Combining the damaging stress [distortion energy von Mises stress, Eqs. (17.19) and (17.20)] with the strengths in Eq. (17.23) leads to d= 16nK f Ma 1+ Se 1+3 1+3 Tm Se K f Ma Sut upc internet kontakt Porovnanie internetu - UPC
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