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000003_csj@iesd.auc.dk _Wed Aug 4 22:30:37 1993.msg
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Received: from iesd.auc.dk by optima.CS.Arizona.EDU (5.65c/15) via SMTP
id AA14403; Wed, 4 Aug 1993 13:32:16 MST
Received: from yellow.iesd.auc.dk by iesd.auc.dk with SMTP id AA15699
(5.65c8/IDA-1.5/MD for <tdbbenchmark@cs.arizona.edu>); Wed, 4 Aug 1993 22:30:37 +0200
Date: Wed, 4 Aug 1993 22:30:37 +0200
From: "Christian S. Jensen" <csj@iesd.auc.dk>
Message-Id: <199308042030.AA15699@iesd.auc.dk>
To: tdbbenchmark@cs.arizona.edu
Subject: Benchmark initiative--update and requests
Subject: Benchmark initiative--update and requests.
To: tdbbenchmark
From: Christian S. Jensen
Five separate issues are addressed in this message.
1. New benchmark queries.
2. Integration of appendices.
3. Revision of queries.
4. Authorship.
5. Strawman proposals for revised sections.
Note: The title of the document is "A Consensus Test Suite of Temporal
Database Queries," but "benchmark" is still a good short name for the
document.
1. New benchmark queries
************************
Discussions in Working Group B at the tdb workshop have led to the
formulation of additional queries. These and other last-minute queries
may be added to the benchmark document, provided that the following
three criteria are satisfied.
i. The queries are sent to tdbbenchmark by Friday, August 13, 1993.
ii. Each query must use the template of the benchmark document and
must be classified according to the classification in the
benchmark document. The information necessary to do so may be
obtained from cs.arizona.edu (in the tsql directory) by anonymous
ftp.
iii. There are no unresolved objections to the addition to the
benchmark of the proposed queries.
2. Integration of appendices
****************************
The final benchmark document is intended to display consensus and for
that reason, it will not include appendices. I request that each
appendix author checks to see whether any insights of his/her appendix
should be part of the main body of the document. If so, the author
must propose a concrete addition to the document and send the proposal
to tdbbenchmark by Friday, August 13, 1993.
3. Revision of queries
**********************
It has been observed that a relative large fraction of the benchmark
queries are incorrect or imprecise. Some entries contain queries that
are imprecise (i.e., may have different answers depending on the
interpretation) and should be made more precise. Some entries contain
queries and answers that are mutually inconsistent.
To improve the queries, I ask the original authors to, if they have
time, send me (csj@iesd.auc.dk) revised versions of their queries by
Monday, August 16, 1993. For each revised query, it must be indicated
which original query (in the benchmark document that appeared at the
workshop) it supersedes. We have a firm deadline, but I realize that
time is short and many authors may have busy schedules. Thus, I will
go through the full set of 170 queries after Monday, August 16 and
revise the queries. I reserve the right to delete very bad or
duplicate queries, if any.
4. Authorship
*************
No significant changes have been made regarding authorship.
The list of authors in the workshop document contained everyone that
actively contributed significantly to the contents of the document.
The new list of authors/contributors should be similar. It is intended
to contain everybody that fulfills the criterion above. I have already
added a few people that have contributed significantly during and
after the workshop, but I have no list of new contributors. Thus, if
you feel that you should be a coauthor, please let me know your name,
e-mail address and affiliation.
As the list of contributors grows, it becomes inappropriate to list
e-mail addresses and affiliations in a (huge) footnote at the front.
Instead, this info has been moved to a special section which has been
referenced a couple of times at the front of the paper.
5. Strawman proposals for revised sections
******************************************
Below, please find the strawman proposal for Sections 1, 2, 4, and 5
of the document below. Specifically, one postscript document (easily
printable) is included along with a latex document (with the text of
the proposal).
Concrete improvements are very welcome and should be sent to
tdbbenchmark by Friday, August 13, 1993.
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%%EndProlog
%%BeginSetup
%%Feature: *Resolution 300dpi
TeXDict begin
%%PaperSize: A4
%%EndSetup
%%Page: 1 1
1 0 bop 157 158 a Fk(A)22 b(Consensus)f(T)-6 b(est)22
b(Suite)h(of)f(T)-6 b(emp)r(oral)23 b(Database)e(Queries)1770
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b(James)16 b(Cli\013ord)58 b(Shashi)16 b(K.)g(Gadia)59
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b(Nic)o(k)15 b(Kline)56 b(Nik)o(os)16 b(Loren)o(tzos)58
b(Y)l(annis)16 b(Mitsop)q(oulos)244 394 y(Angelo)g(Mon)o(tanari)58
b(Sunil)15 b(S.)h(Nair)58 b(Elisa)16 b(P)o(eressi)57
b(Barbara)17 b(P)o(ernici)94 452 y(Edw)o(ard)g(L.)g(Rob)q(ertson)58
b(John)17 b(F.)f(Ro)q(ddic)o(k)57 b(Nandlal)16 b(L.)g(Sarda)59
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b(Ric)o(hard)16 b(T.)g(Sno)q(dgrass)60 b(Ab)q(dullah)16
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822 y Fh(This)c(do)n(cument)h(pr)n(esents)g(the)f(temp)n(or)n(al)g
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\begin{document}
\title{\Large\bf A Consensus Test Suite of Temporal Database
Queries\thanks{Correspondence may be directed to the TSQL electronic
mail distribution, {\tt tdbbenchmark@cs.arizona.edu}, or to the
editor at Aalborg University, Datalogi, Fr.~Bajers Vej 7E,
DK--9220 Aalborg {\O}, Denmark, {\tt csj@iesd.auc.dk}.
This document was prepared by multiple contributors. The names,
affiliations, and e-mail addresses of the contributors may be
found in a separate section at the end of the document.}}
\author{Christian S.~Jensen (editor) \autsp James Clifford \autsp
Shashi K.~Gadia \autsp Fabio Grandi \\
Patrick P.~Kalua \autsp Nick Kline \autsp Nikos Lorentzos \autsp
Yannis Mitsopoulos \\
Angelo Montanari \autsp Sunil S.~Nair \autsp Elisa Peressi \autsp
Barbara Pernici \\
Edward L.~Robertson \autsp John F.~Roddick \autsp Nandlal L.~Sarda
\autsp Maria Rita Scalas \\
Arie Segev \autsp Richard T.~Snodgrass \autsp Abdullah Tansel \autsp
Paolo Tiberio \\
Alexander Tuzhilin \autsp Gene T.~J.~Wuu}
\date{ }
\maketitle
\begin{center}\bf\large Abstract\end{center}
{\it This document presents the temporal database community with an
sizable consensus test suite of temporal relational database
queries. The test suite is intended to be helpful when evaluating
the user-friendliness of temporal relational query languages.
The test suite consists of a database schema, an instance for the
schema, and a set of approximately 170 queries on this database.
The queries are classified according to a taxonomy, which is also
included in the document.}
\section{Introduction}
The central goal of this document is to provide the temporal database
community with an {\em extensive consensus test suite} for temporal
relational query languages that is {\em independent} of any existing
language proposal. The test suite is not related to performance
issues, but has a {\em semantic} focus and is intended to be an aid in
evaluating the user-friendliness of temporal query languages. Thus,
temporal query languages should ideally be able to express the
included queries both conveniently and naturally. However, no
definition of user-friendliness is included---this aspect is left to
the individual users of the test suite.
The work that lead to this document was initiated in early 1993 when
all interested researchers in temporal databases were invited to
participate in creating an unbiased consensus test suite. An
electronic mail distribution {\tt tdbbenchmark@cs.arizona.edu} has
been used as the medium for the work on the test suite, and an initial
working document (``The TSQL Benchmark'') was constructed by a total
of 20 researchers. That document was presented at the ARPA/NSF
International Workshop on an Infrastructure for Temporal Databases,
held in Arlington, TX, June 1993, and was subsequently discussed among
the 40 invited temporal database researchers that attended the
workshop. The present document is the result of the initial efforts
and the efforts of the workshop participants and represents as such a
consensus among a large fraction of the temporal database community.
The test suite consists of a database schema, an instance for the
schema, and a set of queries on the this database. The queries are
classified according to a taxonomy, which is also part of the
document. As a consequence of the central goal above, no existing
temporal data models are used or mentioned. The database schema of the
test suite is described using the ER model. The presented ER schema
may be mapped to a set of relation schemas that fits a particular data
model. With the exception of attributes illustrating user-defined
time, the underlying temporal aspects are implicit in the description
of the database schema. Of course, specific temporal data models might
add explicit temporal attributes. The contents of the relations are
described in natural language. The actual queries are also given only
in natural language. The taxonomy is independent of any particular
temporal query language.
The test suite is not intended as a substutite to other means of
studying query languages, such as laboratory experiments with users or
orthogonality studies. Rather, the test suite is intended as a
complementary addition to the existing repertoire of query language
evaluation techniques. It is emphasized that the test suite is not
intended to constitute a metric for query language completeness, and
as such it is not a substitute for a rigorous {\em theoretical} study
of expressive powers of various temporal query languages. Such studies
are still needed! While a sizable, or extensive, test suite was
purposely constructed, to ensure that a wide range of query language
design aspects were covered, there is no formal basis for claiming
that the list of queries is complete, or comprehensive. No such claim
is made! It it emphasized that using the test suite as an advanced,
quantitative scoring system for comparing languages makes little
sense. Thus, one language is not necessarily superior to another just
because one is capable of expressing more queries than the other.
In summary, the test suite may be understood as simply an unbiased
list of queries. The queries are intended to aid in evaluating the
user-friendliness of individual temporal relational query languages.
The presentation is structured as follows. Below, the intended scope
of the test suite is defined.
Sections~\ref{sec:sch},~\ref{sec:data},~and~\ref{sec:taxo} are
structured similarly. Each first presents design criteria, then
presents a specific design. Section~\ref{sec:sch} concerns the
database schema. The next section covers the database instance, and
Section~\ref{sec:taxo} concerns the classification scheme. The main
body of the document is Section~\ref{sec:queries}, which presents,
using the classification scheme, approximately 170 queries.
\section{Scope}
\label{sec:scope}
The test suite has been designed to provide a ``dense'' coverage of
a restricted range of queries rather than a ``sparse'' coverage of
wide range of queries. Additional queries that cover more types of
queries may be added later. This section characterizes the types of
queries that are, and are not, covered by the test suite.
Temporal query languages may loosely be categorized as relational or
object-oriented. The test suite was designed with only relational
temporal query languages in mind that may be perceived as temporal
extensions of the SQL2 query language.
The intention is to provide a foundation for comparing the descriptive
and operational characteristics and capabilities of temporal data
models and query languages. The test suite is not aimed at performance
comparisons. Properly extended with additional relation schemas and a
variety of large instances, a performance benchmark may be constructed
from the test suite.
A number of restrictions are imposed on which types of queries are
intended to be included in the current test suite, including the
following.
\begin{itemize}
\item Queries are restricted to valid time only. Transaction-time
related queries are not explored.
\item Schema evolution and versioning are not considered.
\item Incompleteness is not considered.
\item Recursive queries are not included.
\item General temporal reasoning is beyond the scope of this version
of the test suite.
\item Queries involving aggregation facilities are not considered.
\item Only queries are included---updates are not considered.
\item Continuous attributes such as time are not included.
\item The querying of data valid in the future is not explored.
\comment{
\item Queries involving relations with multivalued dependencies (in
the snapshot sense) are not explored.
\item User-defined time, including the interaction between
user-defined time and valid time, is not considered.
\item Queries involving complex data retrieval are excluded.
\item Inheritance at both the schema and data levels is not
considered.
\item Nested queries are not included.
\item For simplicity, each relation is used only once in each query.}
\end{itemize}
These advanced aspects are excluded solely for pragmatic reasons, and
the exclusion is not meant to imply in any way that the aspects are
not important. The restrictions simply represent an attempt to reduce
the size of the initial test suite to manageable proportions.
It is emphasized that this test suite is merely the first in a
sequence of ever-more comprehensive test suites. Later versions will
relax the above restrictions. Specifically, the next version of the
test suite is intended to include queries that involve aggregation.
\comment{ Specifically, the next version of the test suite is intended
to include queries that use the same relation more than once,
utilize aggregation, and involve both valid time and user-defined
time.}
\comment{ When transaction time is also included, physical deletion
will also be part of the test suite}
\section{A Database Schema for the Test Suite}
\label{sec:sch}
\subsection{Criteria}
A suitable database schema for a test suite satifies four criteria.
\begin{itemize}
\item{} The schema should be natural. That is, it should correspond to
a reasonable, though possibly greatly simplified, segment of the
real world. This both reduces the need to explain the model and
enhances the ability to recognize verball pitfalls in the path to
the query instances.
\item{} The schema should be simple. This will aid in making the
test suite easy to understand. This criterion restricts the number of
relation schemas and the number of attributes of the individual
schemas. Additionally, the names of the relations and of the
attributes should be short, as they will be referenced repeatedly.
When an expansion is proposed, the benefits should be carefully
compared with the added complexity.
\item{} The schema should allow for comprehensiveness within the
chosen scope. Using the schema, it should be possible formulate
queries of all the types that appear reasonable.
This indicates a need for at least two related relation schemas (for
natural-join queries).
\item{} A schema that has already been used frequently is preferred
over a new schema. This guarantees that many existing queries can be
adapted easily to the test suite.
\item{} For clarity, schema and attribute names must start with
capital letters.
\end{itemize}
\subsection{The Schema}
Rather than defining one particular temporal relational database
schema, we define instead a database schema using the ER Model. The
advantage of this approach is that the ER schema described here may
subsequently be mapped to a specific relational database schema in a
way that is appropriate for the particular data model at hand. No
single relational version of the ER schema fits all temporal
relational data models.
The database schema is defined by the ER schema in
Figure~\ref{fig:er}, containing three entity sets, namely {\tt Emp},
{\tt Skills}, and {\tt Dept}, describing employees, skills, and
departments, respectively. The attributes of the entity sets, and
their interrelationships, are described next.
\begin{figure*}[htb]
\begin{center}
\leavevmode
\epsfxsize=12cm
\epsfbox{/user/csj/Papers/InProgress/TSQL/TSQLBM/Initiative/ER3.eps}
\end{center}
\caption{ER Diagram of Database Design}
\label{fig:er}
\end{figure*}
Entities in entity set {\tt Emp} are represented by the attributes
{\tt Name} and {\tt Salary} which record the names and salaries of
employees. In addition, attributes {\tt Gender} and {\tt D-birth}
indicate the gender and date of birth of employees. While the name,
salary, and department of an employee vary over time, both the gender
and the date of birth are assumed to be time-invariant.
Skills, in entity set {\tt Skills}, are represend by a single
attribute, {\tt Name}, which records the names of individual skills.
The name of a skill is time-invariant. Entity sets {\tt Skills} and
{\tt Emp} are connected via an n--m relationship set, {\tt EmpSkills}.
The skills of an employee may vary over time. For example, employees
are considered to have the skill ``driving'' only during those
interval(s) when they hold valid licenses.
The entity set {\tt Dept} represents departments and is described by
the attributes {\tt Name} and {\tt Budget} which record the names and
budgets of departments, respectively. While the budget of a department
varies over time, the name is assumed to be time-invariant. Employees
are associated with departments by means of two relationship sets.
First {\tt EmpDept} records which employees work in which departments.
This is a time-varying n--1 relationship set. Second {\tt MgrDept},
also time-varying, is a 1--1 relationship set associating those
employees that are managers with the departments they manage.
Attributes {\tt Name} (of {\tt Emp}, {\tt Skills}, and {\tt Dept}) are
of type {\tt textString}; attribute {\tt Gender} is one of {\tt F}
(female) and {\tt M} (male); {\tt Salary} and {\tt Budget} are of type
{\tt integer}; and {\tt D-birth} is a user-defined time value which
may be compared with valid times.
The entity sets obey the following {\em snapshot} functional
dependencies:
\begin{prog}
For {\tt Emp}: \\
\> {\tt Name} $\rightarrow$ {\tt Salary} \\
\> {\tt Name} $\rightarrow$ {\tt Gender} \\
\> {\tt Name} $\rightarrow$ {\tt D-birth} \\
For {\tt Dept}: \\
\> {\tt Name} $\rightarrow$ {\tt Budget}
\end{prog}
Note that {\tt Name} is the primary key of {\tt Emp} (it is the only
candidate key). For {\tt Skills}, {\tt Name} is the only attribute and
is thus the key. For {\tt Dept}, {\tt Name} is the primark key.
It is emphasized that the notion of key does not capture
correspondence between attribute values and the real-world objects
they represent. As one consequence, it is possible in this ER schema,
e.g., for an employee to change {\tt Name} attribute value over time.
This concludes the description of the ER schema. Next, we exemplify
how the ER schema may be mapped to a relational database schema.
\begin{prog}
{\tt Emp} = ({\tt Id}, {\tt Name}, {\tt Salary}, {\tt Gender},
{\tt D-birth},\\
\>\> {\tt DeptName}) \\
{\tt Skill} = ({\tt EmpId}, {\tt Name}) \\
{\tt Dept} = ({\tt Name}, {\tt Budget}, {\tt EmpId})
\end{prog}
Relation {\tt Emp} models the entity set {\tt Emp} and the
relationship set {\tt EmpDept}. Attribute {\tt EmpId} is a
time-invariant key (i.e., values of this attribute identify
employees). Relation {\tt Skills} models the relationship set {\tt
EmpSkills} and the entity set {\tt Skills}. Finally, relation {\tt
Dept} models relationship set {\tt MgrDept} and entity set {\tt
Dept}.
In this design, {\tt Name} is the primary key of {\tt Emp} (it is the
only candidate key). For {\tt Skills}, there is no non-trivial key.
For {\tt Dept}, each of {\tt Name} and {\tt EmpId} is a
candidate key, and {\tt Name} is selected as the primark key.
Each of the relation schemas are in snapshot Boyce-Codd normal form.
\section{The Test Suite Data}
\label{sec:data}
\subsection{Criteria}
\begin{itemize}
\item{} For clarity, the database instance should ideally accord with
{\em all and only} those constraints which are explicitly stated in
the definition of the database schema.
\item{} For simplicity and ease of typing, attribute values should be
short and salary values should be multiples of \$10,000.
\item{} Transitions (i.e., timestamp values) occur only at the
beginning of the month, and all dates should be in the time interval
from 1/1/81 to 12/31/88 (because the digits 8 and 9 are relatively
hard to distinguish). Time intervals are all specified by the
inclusive starting and ending events. Also for clarity, relation
instance names should start with lowercase letters.
\item{} The data should include a ``hole in the history'' of some
entity. For example, the database may be designed to contain a whole
in the employment of some employee.
\item{} The data should include asynchronous behavior of attributes.
For example, the department and salary of employees may change
independently.
\end{itemize}
\subsection{The Data}
Three instances, {\tt emp}, {\tt skills}, and {\tt dept}, are defined
over the {\tt Emp}, {\tt Skills}, and {\tt Dept} relation schemas,
respectively. The contents of these instances is described below.
There are two employees, identified by {\em ED\/} and {\em DI\/} in
the following.
{\em ED\/} worked in the Toy department from 2/1/82 to 1/31/87, and in
the Book department from 4/1/87 to the present. His name was Ed from
2/1/82 to 12/31/87, and Edward from 1/1/88 to the present. His salary
was \$20K from 2/1/82 to 5/31/82, then \$30K from 6/1/82 to 1/31/85,
then \$40K from 2/1/85 to 1/31/87 and 4/1/87 to the present. {\em
ED\/} is male and was born on 7/1/55. Several skills are recorded
for {\em ED\/}. He has been qualified for typing since 4/1/82 and
qualified for filing since 1/1/85. He was qualified for driving from
1/1/82 to 5/1/82 and from 6/1/84 to 5/31/88.
{\em DI\/} worked in and managed the Toy department from 1/1/82 to the
present. Her name is Di throughout her employment. The budget of the
Toy department was \$150K from 1/1/82 to 7/31/84, \$200K from 8/1/84
to 12/31/86, and \$100K from 1/1/87 to the present. Her salary was
\$30K from 1/1/82 to 7/31/84, \$40K from 8/1/84 to 8/31/86, then \$50K
from 9/1/86 to the present. {\em DI\/} is female and was born on
10/1/60. {\em DI\/} has been qualified for directing from 1/1/82 to
the present.
The present time (i.e., the value of {\tt now}) is 1/1/90.
\section*{Contributors and Acknowledgements}
An alphabethical listing of names, affiliations, and e-mail addresses
of the contributors follows.
J.~Clifford, Information Systems Dept., New York University, {\tt
jclif\-for@is-4.stern.nyu.edu}; S.~K.~Gadia, Computer Science Dept.,
Iowa State University, {\tt gadia@cs.iastate.edu}; F.~Grandi, Dip. di
Elettronica Informatica e Sistemistica, Universit\`a di Bologna,
Italy, {\tt fabio@deis64.cineca.it}; P.~P.~Kalua, Computer Science
Department, Indiana University, {\tt kalua@cs.indiana.edu}; N.~Kline,
Computer Science Dept., University of Arizona, {\tt
kline@cs.\-arizona.edu}; N.~Lorentzos, Informatics Laboratory,
Agicultural University of Athens, {\tt eliop@isosun.ariadne-t.gr};
Y.~Mitsopoulos, Informatics Laboratory, Agicultural University of
Athens; A.~Montanari, Dip. di Matematica e Informatica, Universit\`a
di Udine, {\tt mon\-ta\-nari@\-uduniv.cineca.it}; S.~S.~Nair, Computer
Science Department, Iowa State University, {\tt
snair@\-cs.ia\-state.edu}; E.~Peressi, Dip. di Matematica e
Informatica, Universit\`a di Udine, {\tt peressi@udmi5400.cineca.it};
B.~Pernici, Dip. di Matematica e Informatica, Universit\`a di Udine,
{\tt pernici@uduniv.cineca.it}; E.~L.~Robertson, Computer Science
Department, Indiana University, {\tt edrbt\-sn@\-cs.indiana.edu};
J.~F.~Roddick, School of Computer and Information Science, University
of South Australia {\tt roddick@unisa.edu.au}; N.~L.~Sarda, Computer
Science and Eng.~Dept., Indian Institute of Technology, Bombay, India,
{\tt nls@cse.iitb.ernet.in}; M.~R.~Scalas, Dip. di Elettronica
Informatica e Sistemistica, Universit\`a di Bologna, Italy, {\tt
rita@deis64.cineca.it}; A.~Segev, School of Business Adm.~and
Computer Science Research Dept., University of California, {\tt
segev@\-csr.lbl.gov}; R.~T.~Snodgrass, Computer Science Dept.,
University of Arizona, {\tt rts@\-cs.arizona.edu}; A.~Tansel, Bernard
M.~Baruch College, City University of New York, {\tt
UZTBB@CUNYVM.CUNY.EDU}; P.~Tiberio, Dip. di Elettronica Informatica
e Sistemistica, Universit\`a di Bologna, Italy, {\tt
tiberio\-@deis64.cineca.it}. A.~Tuzhilin, Information Systems Dept.,
New York University, {\tt tuz\-hilin@squa\-re1.stern.nyu.edu};
G.~T.~J~Wuu, Bell Communications Research, {\tt wuu@ctt.bellcore.com}.
\end{document}