CS240A: Databases and Knowledge Bases A Taxonomy of Temporal DBs Carlo Zaniolo Department of Computer Science University of California, Los Angeles.

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CS240A: Databases and Knowledge Bases A Taxonomy of Temporal DBs Carlo Zaniolo Department of Computer Science University of California, Los Angeles

Valid Time and Transaction Time  Valid Time of a fact: when the fact is true in the modeled reality  Transaction Time of a fact: when it was recorded in the database  Thus we have four different kinds of tables: 1. Snapshot 2. Valid-time 3. Transaction-time 4. Bitemporal

Example: Tom's Employment History  On January 1, 1984, Tom joined thefaculty as an Instructor.  On December 1, 1984, Tom completed his doctorate, and so was promoted to Assistant Professor effective retroactively on July 1,  On March 1, 1989, Tom was promoted to Associate Professor, effective July 1, 1989 (proactive update).

Queries and Updates  A transaction time table is append only it keeps the history of the updates made on the database.  Transaction time tables supports rollback queries, such as:  On October 1, what rank was our database showing for Tom?  A valid time table can be updated: e.g., Tom’s past record is changed once his rank is changed retroactively.  Valid time tables support historical queries, such as:  What was Tom’s rank on October 1 (according to our current database)?

Bitemporal Tables  Bitemporal Tables are append­only and supports queries of both kinds (rollback&historical) such as:  On October 1, 1984, what did we think Tom's rank was at that date?  TSQL3: SELECT Rank FROM Faculty AS F WHERE Name = 'Tom‘ AND VALID(F) OVERLAPS DATE '1984­10­01‘ AND TRANSACTION(F) OVERLAPS DATE '1984­10­01'

Overview of Temporal Data Models  What is timestamped?  Tuple timestamping  Attribute­value timestamping

Tuple Timestamping and Coalescing  Time stamping the individual tuples: If we want the salary history, we have to coalesce the last three tuples into one: nameempnosalarytitle deptno startend Bob Engineerd Bob Engineerd Bob Sr Engineerd Bob Tech Leaderd nameempnosalarystartend Bob Bob

Attribute Timestamping-  Time-stamped tuples in relations nameempnosalarytitle deptno startend Bob Engineerd Bob Engineerd Bob Sr Engineerd Bob Tech Leaderd nameempnosalarytitledeptno Bob : : : Engineer : d : : Sr Engineer : d : Tech Leader :  Time-stamped attributes: Temporal grouping

What Is Timestamped?  The value of an individual attributes: temporally grouped data models.  Individual tuples  Set of tuples: Generally used for transaction time, to timestamp a set of tuples inserted or modified by a transaction.  Object: O-O DBs, XML documents  Object graph: E.g., associate a connected set of modules (a configuration) with a particular version identifier.  Schema Item: support for schema versions represents a difficult and important problem.  Granularity of time-stamps :  Maximum continuous periods  Set of periods  Single instant in time (point-based representation—avoids coalescing)  Plethora of data models and query language extensions thus proposed

Desiderata for a Temporal Data Model  Capture the semantics of time­varying information  Retain simplicity of the relational model: Strict superset of the relational model  Present all the information concerning an object in a coherent fashion  Ensure ease of implementation  Ensure high performance

Temporal Databases: State of the Art  Over 40 temporal data models and associated temporal query languages have been defined.  Design space has been fairly well covered.  A single data model satisfying all desirable objectives appears to be unattainable  TSQL2: a consensus approach proposed for inclusion in SQL3 standards.  TSQL2 supports valid time, transaction-time and bitemporal relations, and  Uses set of periods as its basic representation for time.