Chap 2: A Prelude to Parametric Data Temporal Database Chap 2: A Prelude to Parametric Data

Fig 2.1 The personnel database

Fig 2.2 Snapshot of management at now

Fig 2.3 The management

TempSQL

TempSQL

The Select Statement

The Select Statement

The Select Statement

2.2.14 Subqueries

2.2.15 Aggregates

2.2.16 The Classical User

2.2.17 Multihomogeneity

2.3 Comparison with Interval Timestamping

2.3 Comparison with Interval Timestamping

2.3 Comparison with Interval Timestamping

2.3 Comparison with Interval Timestamping

2.3 Comparison with Interval Timestamping

2.4 Static Data, Snapshot Data, and Upward Compatibility

2.4 Static Data, Snapshot Data, and Upward Compatibility

2.4.1 Users

2.5.1 A Transaction Log

2.5.3 Querying the Model

2.5.3 Querying the Model

2.5.3 Querying the Model

2.6 A Model for Querying Errors

2.6 A Model for Querying Errors

2.6 A Model for Querying Errors

2.6 A Model for Querying Errors

2.6.1 Querying for Errors

2.7 A Model for Querying Incomplete Information Figure 2.15(a) shows a bitemporal SALARY value. When the future is of no concern to us, this can be represented more compactly as shown in Figure 2.15(b).

2.7.1 Partial Temporal Elements

2.7.1 Partial Temporal Elements

2.7.2 Attributes

2.7.3 Tuples and Relations

2.8 A Model for Querying Spatio-temporal Data Below is an example of a spatial-temporal database arising in agriculture. It consists Of the following for relations. Their spatial representation is shown in Figure 2.18, and their relational representation is shown in Figure 2.19.

2.8 A Model for Querying Spatio-temporal Data

2.8 A Model for Querying Spatio-temporal Data

2.8 A Model for Querying Spatio-temporal Data