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Bearing geometries consisting of three or more sectors (Fig 193g and h) are termed lobed, or multilobed, bearings Generally, bearings with more than three lobes are used only in gas bearing applications Multilobed bearings act as a number of partial bearings in series The cost of multilobed bearings is considered moderate The multileaf journal bearing (Fig 193i) is a variant of a multilobed bearing It consists of a number of identical circular arcs, or leaves, whose centers are equally spaced around the generating circle The operating characteristics of a multileaf bearing are practically independent of the direction of loading for bearings with eight or more leaves In a floating-ring journal bearing (Fig 193j), the lubricating film is divided in two by the addition of a floating ring between the journal and the bearing Floatingring bearings have lower frictional losses and reduced heat generation and provide better stability.

By storing structural information in system tables, the DBMS can use its own access methods and logic to rapidly and efficiently retrieve the information it needs to perform these tasks. If the system tables were used only internally to the DBMS, they would be of little interest to database users. However, the DBMS generally makes the system tables available for user access as well. If the system tables themselves are not made available, the DBMS generally provides views based on the system tables that offer a set of user-retrievable catalog information. User queries against the system catalogs or views are almost always permitted by personal computer and workgroup class databases. These queries are also supported by mainframe and enterprise DBMS products, but the database administrator may restrict system catalog access to provide an additional measure of database security. By querying the system catalogs, you can discover information about the structure of a database, even if you have never used it before. User access to the system catalog is read-only. The DBMS prevents users from directly updating or modifying the system tables because such modifications would destroy the integrity of the database. Instead, the DBMS itself takes care of inserting, deleting, and updating rows of the system tables as it modifies the structure of a database. Data Definition Language (DDL) statements such as CREATE, ALTER, and DROP, and security management statements such as GRANT and REVOKE, produce changes in the system tables as a result of their actions. In some DBMS products, even DML statements that modify the database, such as INSERT and DELETE, may produce changes in the system tables, which might, for example, keep track of how many rows are in each table.

Hydrodynamic journal bearings may be distinguished by whether the bearing surface can pivot The basic advantage of pivoting, or tilting-pad, journal bearings (Fig 193k) over fixed-pad journal bearings is that they can accommodate, with little loss in performance, any shaft deflection or misalignment..

One of the most important benefits of the system catalog is that it makes possible userfriendly query tools, such as the Query Builder tool that is part of Oracle Application Express that comes with Oracle Express Edition, as shown in Figure 16-1. The objective of such tools is to let users simply and transparently access the database without learning the SQL language. Typically, a tool leads the user through a series of steps such as: 1. The user gives a name and password for database access. 2. The query tool displays a list of available tables. 3. The user chooses a table, causing the query tool to display a list of the columns it contains. 4. The user chooses columns of interest, perhaps by clicking their names as they appear on a PC screen. 5. The user chooses columns from other tables or restricts the data to be retrieved with a search condition. 6. The query tool retrieves the requested data and displays it on the user s screen. A general-purpose query tool like the one in Figure 16-1 will be used by many different people, and it will be used to access many different databases. The tool cannot possibly know in advance the structure of the database that it will access during any given session. Thus, it must be able to dynamically learn about the tables and columns of a database. The tool uses system catalog queries for this purpose.