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of computing overhead and its performance suffers as a result. The use of ODBC as an intermediate stage also may limit the functionality provided by the driver features of the underlying DBMS that might be able to be delivered via the JDBC interface directly may not be accessible via ODBC. Finally, the ODBC driver required by a Type 1 driver will be delivered in binary form, not as a Java executable. Thus, any given Type 1 driver is specific to the client computer s hardware and operating system, and will lack the portability of Java. A Type 2 driver is also called a Native API driver. The driver translates JDBC requests directly into the native API of the DBMS, as shown in Figure 19-27. Unlike the Type 1 driver, there is no ODBC or other vendor-neutral layer involved. If the database is located on the same system as the Java program, the Type 2 driver s calls to the native API will go directly to the DBMS. In a client/server network, the DBMS code on the client is again a network access stub, and the requests flow over the network in a DBMS-proprietary protocol, as in the Type 1 driver.

Figure 19-27.

Type 2 drivers present a different set of trade-offs than Type 1 drivers. A Type 2 driver has fewer layers, so performance is typically higher. It still has the disadvantage of requiring binary code to be installed on the client system, so each Type 1 driver will still be specific to a hardware architecture and operating system. Unlike a Type 1 driver, a Type 2 driver is also specific to a DBMS brand. If you want to communicate with several different DBMS , you will need multiple drivers. Finally, it s worth noting that the Type 1/Type 2 distinction assumes that the native DBMS API is not ODBC. If a DBMS presents a native ODBC interface, then the use of ODBC does not imply an additional layer, and its Type 2 driver will, in fact, use ODBC to access the DBMS. A Type 3 driver is a Network-Neutral driver. The driver translates JDBC requests into network messages in a vendor-neutral format, and sends them across the network to the server, as shown in Figure 19-28. On the server, a middleware layer receives the network requests and translates them into calls to the DBMS native API. Query results are passed back across the network, again in a vendor-neutral format.

Figure 19-28.

b. May not include both GROUP BY and ORDER BY clauses c. Must include an ORDER BY clause d. May also contain calculated columns e. May also contain ordinary columns 34. A subselect a. Must be enclosed in parentheses b. Is a powerful way of calculating columns c. May be corrugated or noncorrugated d. Allows for the exible selection of rows e. May be used to select values to be applied to WHERE clause conditions 35. A join without a WHERE clause or JOIN clause a. Performs an outer join b. Performs an inner join c. Results in an error message d. Results in a Cartesian product e. Returns no rows in the result set 36. A selfjoin a. Can be either an inner or outer join b. Resolves recursive relationships c. Can never result in a Cartesian product d. Involves two different tables e. May use a subselect to further limit rows 37. A join a. Requires the use of a JOIN clause b. Requires a comma-separated table name list in the FROM clause c. Combines rows from multiple queries into a single query result d. Combines columns from two or more tables into a single query result e. Occurs whenever the FROM clause references more than one table

19:

Solar dish collectors take the immense power of the sun, over the area of a dish, and concentrate that energy by means of reflectors to a central point. At the end of 2004, Sandia National Laboratory announced that they were working with Stirling Energy Systems to build and test a six-dish array. These six dishes would be capable of producing

Type 3 drivers once again present a different set of trade-offs. One major advantage claimed for the Type 3 architecture is that the client-side code can be written in Java, using the network interfaces provided by other Java APIs. Notice also that the client-side code is DBMS neutral; it does the same work no matter what the target DBMS on the server. This means that the client-side code is very portable, able to run on any system that supports a Java Virtual Machine (JVM) and Java network APIs. Type 3 drivers share one disadvantage with Type 1 drivers: the use of a vendor-neutral network layer, just like the use of a vendor-neutral ODBC layer, means that some capabilities of the underlying DBMS may be inaccessible through the intermediate layer. A Type 3 architecture also involves a double translation of each JDBC request, just as in Type 1; however, one of the translations takes place on the server system, minimizing the client-side impact. A Type 4 driver is a Network-Proprietary driver. The driver translates JDBC requests into network messages, but this time in a DBMS-proprietary format, as shown in Figure 19-29. The driver is written in Java, and implements a network client for the DBMS networking software, such as Oracle s SQL*Net. On the server, there is no need for a middleware layer, since the DBMS server already provides support for the DBMS