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An objective of a database system is to systematize the access to data elements File systems have provided the means to fetch speci c records according to de ned keys or according to sequentiality In order to fetch individual data elements the names of the data attributes, as known by the schema, are used to locate the data elements within the records The data type information stored in the schema can be used by the processing transactions to direct the computation Queries can use the connection speci cations in the schema to locate successor data Predecessors of schemas are called data dictionaries and database directories These systems collect information about the data and perhaps the database model, but do not make it directly available to a database management system In this chapter we present the construction and use of schemas to describe data elements and their relationships Section 8-1 will look at the data elements to be described; Sec 8-2 presents the schema for single les and gives some examples The description of connecting structures is given in Sec 8-3 In contrast with Chap 7 we will present the material using mostly examples from available database management systems This approach enhances the realism, but reduces the consistency of the material There is no universal schema language today To apply the earlier concepts we have to use a variety of schema languages Schema languages in the examples have been selected for speci c features or because of widespread use We do not go into detail to the extent that this chapter can replace system manuals, but relating the concepts developed here to actual examples should help greatly in the use of system documentation For actual database speci cation a manual of the chosen language will be needed

Example A-32. One solution to Exercise 12-3 (continued)

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We need a description of the view requirements if we wish to design a database system If an operational database is available, perhaps using a conventional le system, then we can begin by reviewing the usage of the le system by the programs that operate on the data to be integrated A set of les used together may already contain multiple views, but if no con icts have been experienced, the analysis can begin treating the existing database as a unit 8-1-1 Analysis of Existing Data Database problems are generally not recognizable until a certain volume of data has been collected When a database system is to be installed, there are often already many programs which operate on the data to be incorporated in the database The schema de nition begins then with the collection of the information used to generate the processing programs that deal with the database Information about the domains of the data elements and their dependencies can be used for the modeling processes described in Chap 7 Since the transactions will also be included in the eventual design, the processing steps applied to the information are also documented For instance, results and intermediate derived data are de ned in terms of their source variables Many

// If not, the operation fails, and a blank invoice is returned. public static Invoice operator +(Invoice lhs, Invoice rhs) { if (lhs.vendor == rhs.vendor) { return new Invoice(lhs.vendor, lhs.amount + rhs.amount); } Console.WriteLine("Vendors don't match; operation failed."); return new Invoice("", 0); } // overloaded equality operator public static bool operator ==(Invoice lhs, Invoice rhs) { if (lhs.vendor == rhs.vendor && lhs.amount == rhs.amount) { return true; } return false; } // overloaded inequality operator, delegates to == public static bool operator !=(Invoice lhs, Invoice rhs) { return !(lhs == rhs); } // method for determining equality; tests for same type, // then delegates to == public override bool Equals(object o) { if (!(o is Invoice)) { return false; } return this == (Invoice)o; } public static bool operator< (Invoice lhs, Invoice rhs) { if (lhs.amount < rhs.amount) { return true; } return false; } public static bool operator> (Invoice lhs, Invoice rhs) { if (lhs.amount > rhs.amount) { return true;

Sec 8-1

If data loss is not an issue, RAID Level 0 improves overall system performance at the lowest cost RAID Level 0+1 is superior to RAID Level 1 The main application areas for RAID Level 0+1 systems are small storage subsystems where the cost of mirroring is moderate Sometimes RAID Level 0+1 is used for applications that have a high percentage of writes in their workload, since RAID Level 0+1 provides the best write performance RAID levels 2 and 4 are always inferior to RAID levels 3 and 5, respectively RAID Level 3 is appropriate for workloads consisting mainly of large transfer requests of several contiguous blocks The performance of a RAID Level 3 system is bad for workloads with many small requests of a single disk block RAID Level 5 is a good general-purpose solution It provides high performance for large requests as well as for small requests RAID Level 6 is appropriate if a higher level of reliability is required

Example A-32. One solution to Exercise 12-3 (continued)

existing procedures must be studied in order to obtain a composite picture of the actions that are carried out Documentation of data sources and destinations is collected The frequency of use, the desired response time, and even the accuracy requirements are captured if feasible Similar information is obtained for new procedures and the data elements required for their operation Here estimates may be needed, but documentation of assumptions made is at least as important to the design process as the documentation of established processes

} return false; } public void PrintInvoice( ) { Console.WriteLine("Invoice from {0} for ${1}.", this.vendor, this.amount); } }

Figure 8-1 sketches an example of a very simple data ow In practice, tabular descriptions for each variable are more convenient than a owchart The equivalent ow would be described as as follows:

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