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The Database Environment Chapter 9
1.
1 © Prentice Hall,
2002 Chapter 9:Chapter 9: The Client/Server DatabaseThe Client/Server Database EnvironmentEnvironment Modern Database Management 6th Edition Jeffrey A. Hoffer, Mary B. Prescott, Fred R. McFadden
2.
2Chapter 9 ©
Prentice Hall, Client/Server SystemsClient/Server Systems Networked computing model Processes distributed between clients and servers Client – Workstation (usually a PC) that requests and uses a service Server – Computer (PC/mini/mainframe) that provides a service For DBMS, server is a database server
3.
3Chapter 9 ©
Prentice Hall, Application Logic in C/SApplication Logic in C/S SystemsSystems Presentation Logic – Input – keyboard/mouse – Output – monitor/printer Processing Logic – I/O processing – Business rules – Data management Storage Logic – Data storage/retrieval GUI Interface Procedures, functions, programs DBMS activities
4.
4Chapter 9 ©
Prentice Hall, Client/Server ArchitecturesClient/Server Architectures File Server Architecture Database Server Architecture Three-tier Architecture Client does extensive processing Client does little processing
5.
5Chapter 9 ©
Prentice Hall, File Server ArchitectureFile Server Architecture All processing is done at the PC that requested the data Entire files are transferred from the server to the client for processing. Problems: – Huge amount of data transfer on the network – Each client must contain full DBMS Heavy resource demand on clients Client DBMSs must recognize shared locks, integrity checks, etc. FATFAT CLIENTCLIENT
6.
6Chapter 9 ©
Prentice Hall, Figure 9-2 – File Server Architecture FATFAT CLIENTCLIENT
7.
7Chapter 9 ©
Prentice Hall, Database Server ArchitecturesDatabase Server Architectures 2-tiered approach Client is responsible for – I/O processing logic – Some business rules logic Server performs all data storage and access processing DBMS is only on server Advantages – Clients do not have to be as powerful – Greatly reduces data traffic on the network – Improved data integrity since it is all processed centrally – Stored procedures some business rules done on server
8.
8Chapter 9 ©
Prentice Hall, Advantages ofAdvantages of Stored ProceduresStored Procedures Compiled SQL statements Reduced network traffic Improved security Improved data integrity Thinner clients
9.
9Chapter 9 ©
Prentice Hall, Figure 9-3 – Database server architecture ThinneThinne rr clientsclients DBMS onlyDBMS only on serveron server
10.
10Chapter 9 ©
Prentice Hall, Three-Tier ArchitecturesThree-Tier Architectures Three layers: – Client – Application server – Database server Thin Client PC just for user interface and a little application processing. Limited or no data storage (sometimes no hard drive) GUI interface (I/O processing) Browser Business rules Web Server Data storage DBMS
11.
11Chapter 9 ©
Prentice Hall, Figure 9-4 -- Three-tier architecture ThinnestThinnest clientsclients Business rules onBusiness rules on separate serverseparate server DBMS only onDBMS only on DB serverDB server
12.
12Chapter 9 ©
Prentice Hall, Advantages of Three-TierAdvantages of Three-Tier ArchitecturesArchitectures Scalability Technological flexibility Long-term cost reduction Better match of systems to business needs Improved customer service Competitive advantage Reduced risk
13.
13Chapter 9 ©
Prentice Hall, Challenges of Three-tierChallenges of Three-tier ArchitecturesArchitectures High short-term costs Tools and training Experience Incompatible standards Lack of compatible end-user tools
14.
14Chapter 9 ©
Prentice Hall, Application PartitioningApplication Partitioning Placing portions of the application code in different locations (client vs. server) AFTER it is written Advantages – Improve performance – Improve interoperability – Balanced workloads
15.
15Chapter 9 ©
Prentice Hall, Processing Logic DistributionsProcessing Logic Distributions 2-tier distributions n-tier distributions Processing logic could be at client, server, or both Processing logic will be at application server or Web server
16.
16Chapter 9 ©
Prentice Hall, Parallel ComputerParallel Computer ArchitecturesArchitectures Tightly Coupled – Symmetric Multiprocessing (SMP) – Multiple CPUs – Shared RAM Loosely Coupled – Massively Parallel Processing (MPP) – Multiple CPUs – Each CPU has its own RAM space
17.
17Chapter 9 ©
Prentice Hall, Parallel Computer ArchitecturesParallel Computer Architectures Figure 9-6 – Tightly-coupled – CPUs share common memory space Figure 9-7 – Loosely-coupled – CPUs each have their own memory space
18.
18Chapter 9 ©
Prentice Hall, Query Processing withQuery Processing with Parallel ProcessorsParallel Processors Figure 9-5(a) – Parallel transactions Figure 9-5(b) – Parallel query
19.
19Chapter 9 ©
Prentice Hall, MiddlewareMiddleware Software which allows an application to interoperateinteroperate with other software No need for programmer/user to understand internal processing Accomplished via Application ProgramApplication Program InterfaceInterface (API) The “glue”“glue” that holds client/server applications together
20.
20Chapter 9 ©
Prentice Hall, Types of MiddlewareTypes of Middleware RPC – Remote Procedure Calls (RPC) – client makes calls to procedures running on remote computers – synchronous and asynchronous Message-Oriented Middleware (MOM) – asynchronous calls between the client via message queues Publish/Subscribe – push technology server sends information to client when available Object Request Broker (ORB) – Object-oriented management of communications between clients and servers SQL-oriented Data Access – Middleware between applications and database servers
21.
21Chapter 9 ©
Prentice Hall, Database MiddlewareDatabase Middleware ODBC – Open Database Connectivity – Most DB vendors support this OLE-DB – Microsoft enhancement of ODBC JDBC – Java Database Connectivity – Special Java classes that allow Java applications/applets to connect to databases
22.
22Chapter 9 ©
Prentice Hall, Client/Server SecurityClient/Server Security Network environment complex security issues Security levels: – System-level password security for allowing access to the system – Database-level password security for determining access privileges to tables; read/update/insert/delete privileges – Secure client/server communication via encryption
23.
23Chapter 9 ©
Prentice Hall, Query-by-Example (QBE)Query-by-Example (QBE) Direct-manipulation database language Graphical approach Available in MS Access MS Access translates QBE to SQL and vice versa Useful for end-user database programming Good for ad hoc processing and prototyping
24.
24Chapter 9 ©
Prentice Hall, Figure 9-10: QBE view of a 2-table join query Figure 9-12: Equivalent query in SQL
25.
25Chapter 9 ©
Prentice Hall, Figure 9-9: Access usability hierarchy Foundation of MS Access Simple processes Stored modules of pre- existing VBA code Visual Basic for Applications…language for customizing the application API to call functions in DLLs external to MS Access
26.
26Chapter 9 ©
Prentice Hall, Using ODBC to Link External DatabasesUsing ODBC to Link External Databases Stored on a Database ServerStored on a Database Server Open Database Connectivity (ODBC) – API that provides a common language for application programs to access and process SQL databases independent of the particular RDBMS that is accessed Required parameters: – ODBC driver – Back-end server name – Database name – User id and password Additional information: – Data source name (DSN) – Windows client computer name – Client application program’s executable name Java Database Connectivity (JDBC) is similar to ODBC – built specifically for Java applications
27.
27Chapter 9 ©
Prentice Hall, ODBC ArchitectureODBC Architecture (Figure 9-18)(Figure 9-18) Each DBMS has its own ODBC-compliant driver Client does not need to know anything about the DBMS Application Program Interface (API) provides common interface to all DBMSs
28.
28Chapter 9 ©
Prentice Hall, Visual Basic for ApplicationsVisual Basic for Applications VBA is the programming language that accompanies Access 2000 VBA provides these features: – Ability to perform complex functionality – Error handling – Faster execution than macros – Easier maintenance – OLE automation – Programmatic control – Ease of reading for programmers Event-driven – nonprocedural programming that detects events and generates appropriate responses
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