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SI 654 Database Application Design Winter 2003 Dragomir R. Radev 1 © 2002 by Prentice Hall Database Processing Eighth Edition Database Application Design 2 Chapter 10 David M. Kroenke © 2002 by Prentice Hall Functions of a Database Application 3 © 2002 by Prentice Hall Four Basic Functions of Database Applications • The four basic functions are common to all database applications • These basic functions are – Create – Read – Update – Delete • The (unfortunate) acronym for these functions is CRUD 4 © 2002 by Prentice Hall Format/Materialize Function of a Database Application • The format/materialize function of a database application involves designing the appearance of the database application 5 © 2002 by Prentice Hall Enforce Constraints Function of a Database Application • Database application constraints typically involve validating the format, structure, and/or values of data. 6 © 2002 by Prentice Hall Provide Security and Control Function of a Database Application • In that database applications provide access to many people for many purposes, the application must provide security and control functions. This helps protects the data from being seen and/or modified by unauthorized persons. 7 © 2002 by Prentice Hall Execute Application Logic Function of a Database Application • Database applications satisfy one or more business function. As such, the business logic must be embedded into the database application. These logic rules and procedures constitute the execute application logic function of a database application. 8 © 2002 by Prentice Hall A View • A view is a structured list of data attributes from the entities or semantic objects defined in the data model • A view can be materialized or formatted as an on-line form or a hard-copy report 9 © 2002 by Prentice Hall A View CRUD Functions – Create • Create INSERT INTO CUSTOMER (CUSTOMER.Name, CUSTOMER.City) VALUES (NewCust.CUSTOMER.Name, NewCust.CUSTOMER.City) 10 © 2002 by Prentice Hall A View CRUD Functions – Read • Read SELECT CUSTOMER.CustomerID, CUSTOMER.Name FROM CUSTOMER, WORK WHERE CUSTOMER.CustomerID = WORK.CustomerID 11 © 2002 by Prentice Hall A View CRUD Functions – Update • Update INSERT INTO CUSTOMER (CUSTOMER.Name, CUSTOMER.City) VALUES (NewCust.CUSTOMER.Name, NewCust.CUSTOMER.City) 12 © 2002 by Prentice Hall A View CRUD Functions – Delete • Delete Cascading deletions depend on relationship cardinality 13 © 2002 by Prentice Hall Form Design • A form should... – Reflect the underlying structure of the view – Make data associations graphically evident – Encourage/Guide appropriate user action/response 14 © 2002 by Prentice Hall Graphical User Interface (GUI) Controls • Drop-down list box – A drop-down list box provides a list of items from which the user may choose • Option (or radio) button – A set of option buttons allow the user to select one of a set of alternatives 15 © 2002 by Prentice Hall Graphical User Interface (GUI) Controls • Check box – A check box allows the user to select or deselect the option. • Cursor movement/Pervasive Keys – Cursor movement defines the behavior of the cursor. The cursor should move naturally through the form. 16 © 2002 by Prentice Hall GUI Example 17 © 2002 by Prentice Hall Report Design • The report should... – Reflect the underlying structure of the view – Handle implied objects • The implied objects are those realworld objects that provide meaning and purpose to the report and to the database application 18 © 2002 by Prentice Hall Enforcing Constraints within a Database Application • Domain constraints • Uniqueness • Referential integrity constraints 19 • Relationship cardinality • Business rule – Triggers © 2002 by Prentice Hall Uniqueness Constraint • The uniqueness constraint determines if the value within the attribute must be unique for every tuple in the relation. • Uniqueness is referred to as “no duplicates” within Microsoft Access 20 © 2002 by Prentice Hall Referential Integrity Constraint • Referential integrity defines the role and treatment of the foreign keys. • For a foreign key to exist, the value of the foreign key must appear as a value in the primary key of the associated relation. 21 © 2002 by Prentice Hall Relationship Cardinality Constraint • Minimum relationship cardinality constraint • Maximum relationship cardinality constraint 22 © 2002 by Prentice Hall Minimum Relationship Cardinality Constraint • The minimum relationship cardinality constraint defines whether participation in a relationship is mandatory or optional 0 = optional 1 = manditory – A fragment is a parent that does not have a required child – An orphan is a child that does not have a required parent 23 © 2002 by Prentice Hall Maximum Relationship Cardinality Constraint • The maximum relationship cardinality constraint defines the maximum level of participation in a relationship 1 = at most one N = zero or more 24 © 2002 by Prentice Hall The Relationship Between the Minimum and Maximum Relationship Cardinality Constraints • If the minimum cardinality constraint is optional (0), the maximum relationship cardinality constraint would mean: 1 = zero or one N = zero, one, or more 25 © 2002 by Prentice Hall The Relationship between the Minimum and Maximum Relationship Cardinality Constraints • If the minimum cardinality constraint is mandatory (1), the maximum relationship cardinality constraint would mean: 1 = one N = one or more 26 © 2002 by Prentice Hall Business Rule Constraints • Business rule constraints are those conditions that must be satisfied based on the rules, practices, and operating procedures of the organization. 27 © 2002 by Prentice Hall Triggers • Triggers are stored procedures that are invoked based on an action. – For instance a stored procedure may be invoked every time a record is added to the system. 28 © 2002 by Prentice Hall Security Functions within a Database Application • Typically, security exists on several levels within a database application – To log into the system, the user needs an operating system (e.g., the Windows username/password) – To log into the database, the user must supply a username and password – To execute the database application, the user must be granted access to the appropriate application files 29 © 2002 by Prentice Hall Horizontal versus Vertical Security Schemes • Horizontal security refers to the practice of restricting access to certain tuples in the database. – E.g., you may only see sales data in the NorthEast • Vertical security refers to the practice of restricting access to certain columns in the database. – E.g., you may only see the name and address fields 30 © 2002 by Prentice Hall Control Functions within a Database Application • Typically control functions are introduced into database applications through menus and by defining transaction boundaries. – Using menus, the developer may control the access for a particular user. This access may change throughout a user’s session. – Transaction boundaries are defined to coordinate user actions in a multi-user environment. 31 © 2002 by Prentice Hall Database Processing Eighth Edition Managing Multi-User Databases 32 Chapter 11 David M. Kroenke © 2002 by Prentice Hall Multi-User Databases • Serving the needs of multiple users and multiple applications adds complexity in… – design, – development, and – migration (future updates) 33 © 2002 by Prentice Hall Multi-User Database Issues include… • Interdependency – Changes required by one user may impact others • Concurrency – People or applications may try to update the same information at the same time 34 © 2002 by Prentice Hall Multi-User Database Issues include… (continued) • Record Retention – When information should be discarded • Backup/Recovery – How to protect yourself from losing critical information 35 © 2002 by Prentice Hall Common Multi-User DBMS • Windows 2000 – Access 2000 – SQL Server – ORACLE 36 • UNIX – ORACLE – Sybase – Informix © 2002 by Prentice Hall Role of the Database Administrator • Organizations typically hire a database administrator (DBA) to handle the issues and complexities associated with multi-user databases. • A DBA facilitates the development and use of one or more databases. 37 © 2002 by Prentice Hall Data Administrator versus Database Administrator • Data Administrator – Handle the database functions and responsibilities for the entire organization. – Data administrator responsibilities are discussed in Chapter 17. 38 • Database Administrator (DBA) – Handle the functions associated with a specific database, including those applications served by the database. – This chapter describes the responsibilities of the DBA. © 2002 by Prentice Hall The Characteristics of a DBA • Technical – The DBA is responsible for the performance and maintenance of one or more databases. • Diplomatic – The DBA must coordinate the efforts, requirements, and sometimes conflicting goals of various user groups to develop community-wide solutions. 39 © 2002 by Prentice Hall Technical Skills of the DBA • Managing the database structure • Controlling concurrent processing • Managing processing rights and responsibilities • Developing database security • Providing database recovery • Managing the database management system (DBMS) • Maintaining the data repository 40 © 2002 by Prentice Hall Managing the Database Structure • Managing the database structure includes configuration control and documentation regarding: – The allocation of space – Table creation – Indices creation – Storage procedures – Trigger creation 41 © 2002 by Prentice Hall Configuration Control • The database configuration must reflect changes in organizational and user requirements • Structural changes to the database often effect most, if not all, applications and users • Sometimes configuration changes have unanticipated consequences • Consequently, broad perspectives, careful analysis, and effective communication are essential. As well, the DBA must be prepared to debug and repair unforeseen issues. 42 © 2002 by Prentice Hall The Need for Documentation • When altering a databases structure, unanticipated issues are inevitable • In recording the specific changes, dates, and times, it is easier to determine the root cause of issues and to resolve the issues • When historical data is restored, it must be reformatted with all the changes in the database structure since the data was originally saved. 43 © 2002 by Prentice Hall Documentation • All structural changes must be carefully documented with the following: – Reason for change – Who made the changes – Specifically what was changed – How and when the changes were implemented – How were the changes tested and what were the results 44 © 2002 by Prentice Hall Documentation Aids • Version Control and Computer Assisted Software Engineering (CASE) tools automate and/or manage many tedious documentation tasks. • Printing the data dictionaries after structural changes also helps eliminate many tedious documentation tasks 45 © 2002 by Prentice Hall Controlling Concurrency Processing • Concurrency control ensures that one user’s actions do not adversely impact another user’s actions • At the core of concurrency is accessibility. In one extreme, data becomes inaccessible once a user touches the data. This ensures that data that is being considered for update is not shown. In the other extreme, data is always readable. The data is even readable when it is locked for update. 46 © 2002 by Prentice Hall Aspects of Concurrency Control • Rollback/Commit: Ensuring all actions are successful before posting to the database • Multitasking: Simultaneously serving multiple users • Lost Updates: When one user’s action overwrites another user’s request 47 © 2002 by Prentice Hall Rollback/Commit • A database operation typically involves several transactions. These transactions are atomic and are sometimes called logical units of work (LUW). • Before an operation is committed to the database, all LUWs must be successfully completed. If one or more LUW is unsuccessful, a rollback is performed and no changes are saved to the database. 48 © 2002 by Prentice Hall Lost Update Problem • If two or more users are attempting to update the same piece of data at the same time, it is possible that one update may overwrite another update. • Resource locking scenarios are designed to address this problem 49 © 2002 by Prentice Hall Resource Locking • A resource lock prevents a user from reading and/or writing to a piece of data • The size of the piece of data (e.g., database, table, field) is termed the lock granularity 50 © 2002 by Prentice Hall Types of Resource Locks • Implicit versus Explicit – Implicit locks are issued automatically by the DBMS based on an activity – Explicit locks are issued by users requesting exclusive rights to the data 51 • Exclusive versus Shared – An exclusive lock lock prevents others from reading or updating the data – A shared lock allows others to read, but not update the data © 2002 by Prentice Hall Two-Phased Resource Locking • Two-phased locking, whereby locks are obtained as they are needed – A growing phase, whereby the transaction continues to request additional locks – A shrinking phase, whereby the transaction begins to release the locks 52 © 2002 by Prentice Hall Deadlocks • As a transaction begins to lock resources, it may have to wait for a particular resource to be released by another transaction. On occasions, two transactions maybe indefinitely waiting on one another to release resources. This condition is known as a deadlock or a deadly embrace. 53 © 2002 by Prentice Hall Avoiding Deadlocks • Strategy 1: – Wait until all resources are available, then lock them all before beginning • Strategy 2: – Establish and use clear locking orders/sequences • Strategy 3: – Once detected, the DBMS will rollback one transaction 54 © 2002 by Prentice Hall Resource Locking Strategies • Optimistic Locking – Read data – Process transaction – Issue update – Look for conflict – If conflict occurred, rollback and repeat or else commit 55 • Pessimistic Locking – Lock required resources – Read data – Process transaction – Issue update – Release locks © 2002 by Prentice Hall Consistent Transactions • Consistent transactions are often referred to by the acronym ACID – Atomic – Consistent – Isolated – Durable 56 © 2002 by Prentice Hall ACID: Atomic • A transaction consists of a series of steps. Each step must be successful for the transaction to be saved. • This ensures that the transaction completes everything it intended to do before saving the changes. 57 © 2002 by Prentice Hall ACID: Consistent • No other transactions are permitted on the records until the current transaction finishes • This ensures that the transaction integrity has statement level consistence among all records 58 © 2002 by Prentice Hall ACID: Isolation • Within multi-user environments, different transactions may be operating on the same data. As such, the sequencing of uncommitted updates, rollbacks, and commits continuously change the data content. • The 1992 ANSI SQL standards define four isolation levels and specify respective issues. 59 © 2002 by Prentice Hall Summary of Isolation Levels 60 © 2002 by Prentice Hall ACID: Durable • Durable transactions are saved to the data permanently • Interim calculations, views, and subqueries are temporal rather than durable; that is to say that these temporal results are not saved 61 © 2002 by Prentice Hall Set-at-a-Time Versus Row-at-a-Time • SQL statements act as filters for the entire data set. • A cursor may be defined within a SQL statement to point to a particular record. • Several types of cursors have been defined. The cursor type defines how the cursor behaves. 62 © 2002 by Prentice Hall Types of Cursors 63 © 2002 by Prentice Hall Database Security • Database security strives to ensure… – Only authorized users perform authorized activities at authorized times 64 © 2002 by Prentice Hall Managing Processing Rights and Responsibilities • Processing rights define who is permitted to do what, when • The individuals performing these activities have full responsibility for the implications of their actions • Individuals are identified by a username and a password 65 © 2002 by Prentice Hall Granting of Processing Rights • Database users are known as an individual and as a member of one or more role • Access and processing rights/privileges may be granted to an individual and/or a role • Users possess the compilation of rights granted to the individual and all the roles for which they are members 66 © 2002 by Prentice Hall Granting Privileges 67 © 2002 by Prentice Hall Providing Database Recovery • Common causes of database failures… – Hardware failures – Programming bugs – Human errors/mistakes – Malicious actions • Since these issues are impossible to completely avoid, recovery procedures are essential 68 © 2002 by Prentice Hall Database Recovery Characteristics • Continuing business operations (Fallback procedures/Continuity planning) • Restore from backup • Replay database activities since backup was originally made 69 © 2002 by Prentice Hall Fall-back Procedures/ Continuity Planning • The business will continue to operate even when the database is inaccessible • The fall-back procedure defines how the organization will continue operations • Careful attention must be paid to… – saving essential data – continuing to provide quality service 70 © 2002 by Prentice Hall Restoring from Backup • In the event that the system must be rebuilt or reloaded, the database is restored from the last full backup. • Since it is inevitable that activities occurred since the last full backup was made, subsequent activities must be replayed/restored. 71 © 2002 by Prentice Hall Recovery via Reprocessing • This is a brunt-force technique. • Simply re-type all activities since the backup was performed. • This procedure is costly because of the effort involved in re-entering the data. • This procedure is risky in that human error is likely and in that paper record-keeping may not be accurate. 72 © 2002 by Prentice Hall Recovery via Rollback/Rollforward • Most database management systems provide a mechanism to record activities into a log file. 73 © 2002 by Prentice Hall Rollforward • Activities recorded in the log files may be replayed. In doing so, all activities are reapplied to the database. • This procedure is used to resynchronize restored database data. • This procedure is termed a Rollforward. 74 © 2002 by Prentice Hall Rollback • Since log files save activities in sequence order, it is possible to undo activities in reserve order that they were originally executed. • This is performed to correct/undo erroneous or malicious transaction(s). • This procedure is known as a Rollback. 75 © 2002 by Prentice Hall Managing the Database Management System (DBMS) • In addition to controlling and maintaining the users and the data, the DBA must also maintain and monitor the DBMS itself. – Performance statistics (performance tuning/optimizing) – System and data integrity – Establishing, configuring, and maintaining database features and utilities 76 © 2002 by Prentice Hall Maintaining the Data Repository • The data repository contains metadata. Metadata is data about data. • The data repository specifies the name, type, size, format, structure, definitions, and relationships among the data. They also contain the details about applications, users, add-on products, etc. 77 © 2002 by Prentice Hall Types of Data Repositories • Active data repository – The development and management tools automatically maintain and upkeep the metadata. 78 • Passive data repository – People manually maintain and upkeep the metadata © 2002 by Prentice Hall