Databases − Lecture Schedule, Easter Term 2001
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CS145 Lecture Notes #15 Introduction to OQL
CS145 Lecture Notes #15 Introduction to OQL History Object-oriented DBMS (OODBMS) vendors hoped to take market share from traditional relational DBMS (RDBMS) vendors by offer- ing object-based data management Extend OO languages (C++, SmallTalk) with support for persis- tent objects RDBMS vendors responded by adding object support to relational systems (i.e., ORDBMS) and largely kept their customers OODBMS vendors have survived in another market niche: software systems that need some of their data to be persistent (e.g., CAD) Recall: ODMG: Object Database Management Group ODL: Object De®nition Language OQL: Object Query Language Query-Related Features of ODL Example: a student can take many courses but may TA at most one interface Student (extent Students, key SID) { attribute integer SID; attribute string name; attribute integer age; attribute float GPA; relationship Set<Course> takeCourses inverse Course::students; relationship Course assistCourse inverse Course::TAs; }; interface Course (extent Courses, key CID) { attribute string CID; attribute string title; relationship Set<Student> students inverse Student::takeCourses; relationship Set<Student> TAs inverse Student::assistCourse; }; Jun Yang 1 CS145 Spring 1999 For every class we can declare an extent, which is used to refer to the current collection of all objects of that class We can also declare methods written in the host language Basic SELECT Statement in OQL Example: ®nd CID and title of the course assisted by Lisa SELECT s.assistCourse.CID, s.assistCourse.title FROM Students -
EYEDB Object Query Language
EYEDB Object Query Language Version 2.8.8 December 2007 Copyright c 1994-2008 SYSRA Published by SYSRA 30, avenue G´en´eral Leclerc 91330 Yerres - France home page: http://www.eyedb.org Contents 1 Introduction....................................... ............... 5 2 Principles ........................................ ............... 5 3 OQLvs.ODMG3OQL.................................... ........... 5 4 Language Concepts . ........... 7 5 Language Syntax . .......... 8 5.1 TerminalAtomSyntax.................................. .......... 8 5.2 Non Terminal Atom Production . 10 5.3 Keywords.......................................... 11 5.4 Comments.......................................... 11 5.5 Statements ........................................ 12 5.6 ExpressionStatements............................... 12 5.7 AtomicLiteralExpressions ............................ 14 5.8 ArithmeticExpressions ............................. 14 5.9 AssignmentExpressions .............................. 18 5.10 Auto Increment & Decrement Expressions . 19 5.11 Comparison Expressions . 20 5.12 Logical Expressions . 24 5.13 Conditional Expression . 24 5.14 ExpressionSequences ............................... 25 5.15 ArrayDeferencing ................................. 25 5.16 IdentifierExpressions .............................. 28 5.17 PathExpressions.................................... 32 5.18 FunctionCall....................................... 33 5.19 MethodInvocation................................... 34 5.20 Eval/Unval Operators . 37 5.21 SetExpressions................................... -
SQL from Wikipedia, the Free Encyclopedia Jump To: Navigation
SQL From Wikipedia, the free encyclopedia Jump to: navigation, search This article is about the database language. For the airport with IATA code SQL, see San Carlos Airport. SQL Paradigm Multi-paradigm Appeared in 1974 Designed by Donald D. Chamberlin Raymond F. Boyce Developer IBM Stable release SQL:2008 (2008) Typing discipline Static, strong Major implementations Many Dialects SQL-86, SQL-89, SQL-92, SQL:1999, SQL:2003, SQL:2008 Influenced by Datalog Influenced Agena, CQL, LINQ, Windows PowerShell OS Cross-platform SQL (officially pronounced /ˌɛskjuːˈɛl/ like "S-Q-L" but is often pronounced / ˈsiːkwəl/ like "Sequel"),[1] often referred to as Structured Query Language,[2] [3] is a database computer language designed for managing data in relational database management systems (RDBMS), and originally based upon relational algebra. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control. SQL was one of the first languages for Edgar F. Codd's relational model in his influential 1970 paper, "A Relational Model of Data for Large Shared Data Banks"[4] and became the most widely used language for relational databases.[2][5] Contents [hide] * 1 History * 2 Language elements o 2.1 Queries + 2.1.1 Null and three-valued logic (3VL) o 2.2 Data manipulation o 2.3 Transaction controls o 2.4 Data definition o 2.5 Data types + 2.5.1 Character strings + 2.5.2 Bit strings + 2.5.3 Numbers + 2.5.4 Date and time o 2.6 Data control o 2.7 Procedural extensions * 3 Criticisms of SQL o 3.1 Cross-vendor portability * 4 Standardization o 4.1 Standard structure * 5 Alternatives to SQL * 6 See also * 7 References * 8 External links [edit] History SQL was developed at IBM by Donald D. -
SOQL and SOSL Reference
SOQL and SOSL Reference Version 53.0, Winter ’22 @salesforcedocs Last updated: August 26, 2021 © Copyright 2000–2021 salesforce.com, inc. All rights reserved. Salesforce is a registered trademark of salesforce.com, inc., as are other names and marks. Other marks appearing herein may be trademarks of their respective owners. CONTENTS Chapter 1: Introduction to SOQL and SOSL . 1 Chapter 2: Salesforce Object Query Language (SOQL) . 3 Typographical Conventions in This Document . 5 Quoted String Escape Sequences . 5 Reserved Characters . 6 Alias Notation . 7 SOQL SELECT Syntax . 7 Condition Expression Syntax (WHERE Clause) . 9 fieldExpression Syntax . 13 USING SCOPE . 26 ORDER BY . 27 LIMIT . 28 OFFSET . 29 FIELDS() . 31 Update an Article’s Keyword Tracking with SOQL . 35 Update an Article Viewstat with SOQL . 35 WITH filteringExpression . 35 GROUP BY . 40 HAVING . 47 TYPEOF . 48 FORMAT () . 51 FOR VIEW . 51 FOR REFERENCE . 52 FOR UPDATE . 52 Aggregate Functions . 53 Date Functions . 58 Querying Currency Fields in Multi-Currency Orgs . 60 Example SELECT Clauses . 62 Relationship Queries . 63 Understanding Relationship Names . 64 Using Relationship Queries . 65 Understanding Relationship Names, Custom Objects, and Custom Fields . 66 Understanding Query Results . 68 Lookup Relationships and Outer Joins . 70 Identifying Parent and Child Relationships . 70 Understanding Relationship Fields and Polymorphic Fields . 72 Understanding Relationship Query Limitations . 77 Using Relationship Queries with History Objects . 77 Contents Using Relationship Queries with Data Category Selection Objects . 78 Using Relationship Queries with the Partner WSDL . 78 Change the Batch Size in Queries . 78 SOQL Limits on Objects . 79 SOQL with Big Objects . 83 Syndication Feed SOQL and Mapping Syntax . -
Query Service Specification
Query Service Specification Version 1.0 New Edition: April 2000 Copyright 1999, FUJITSU LIMITED Copyright 1999, INPRISE Corporation Copyright 1999, IONA Technologies PLC Copyright 1999, Objectivity Inc. Copyright 1991, 1992, 1995, 1996, 1999 Object Management Group, Inc. Copyright 1999, Oracle Corporation Copyright 1999, Persistence Software Inc. Copyright 1999, Secant Technologies Inc. Copyright 1999, Sun Microsystems Inc. The companies listed above have granted to the Object Management Group, Inc. (OMG) a nonexclusive, royalty-free, paid up, worldwide license to copy and distribute this document and to modify this document and distribute copies of the modified version. Each of the copyright holders listed above has agreed that no person shall be deemed to have infringed the copyright in the included material of any such copyright holder by reason of having used the specification set forth herein or having conformed any computer software to the specification. PATENT The attention of adopters is directed to the possibility that compliance with or adoption of OMG specifications may require use of an invention covered by patent rights. OMG shall not be responsible for identifying patents for which a license may be required by any OMG specification, or for conducting legal inquiries into the legal validity or scope of those patents that are brought to its attention. OMG specifications are prospective and advisory only. Prospective users are responsible for protecting themselves against liability for infringement of patents. NOTICE The information contained in this document is subject to change without notice. The material in this document details an Object Management Group specification in accordance with the license and notices set forth on this page. -
DATABASE and KNOWLEDGE-BASE SYSTEMS VOLUME I: CLASSICAL DATABASE SYSTEMS Jeffrey D
PRINCIPLES OF DATABASE AND KNOWLEDGE-BASE SYSTEMS VOLUME I: CLASSICAL DATABASE SYSTEMS Jeffrey D. Ullman STANFORD UNIVERSITY COMPUTER SCIENCE PRESS TABLE OF CONTENTS Chapter 1: Databases, Object Bases, and Knowledge Bases 1.1: The Capabilities of a DBMS 2 1.2: Basic Database System Terminology 7 1.3: Database Languages 12 1.4: Modern Database System Applications 18 1.5: Object-base Systems 21 1.6: Knowledge-base Systems 23 1.7: History and Perspective 28 Bibliographie Notes 29 Chapter 2: Data Models for Database Systems 32 2.1: Data Models 32 2.2: The Entity-relationship Model 34 2.3: The Relational Data Model 43 2.4: Operations in the Relational Data Model 53 2.5: The Network Data Model 65 2.6: The Hierarchical Data Model 72 2.7: An Object-Oriented Model 82 Exercises 87 Bibliographie Notes 94 Chapter 3: Logic as a Data Model 96 3.1: The Meaning of Logical Rules 96 3.2: The Datalog Data Model 100 3.3: Evaluating Nonrecursive Rules 106 3.4: Computing the Meaning of Recursive Rules 115 3.5: Incremental Evaluation of Least Fixed Points 124 3.6: Negations in Rule Bodies 128 3.7: Relational Algebra and Logic 139 3.8: Relational Calculus 145 3.9: Tuple Relational Calculus 156 3.10: The Closed World Assumption 161 Exercises 164 Bibliographie Notes 171 VIII TABLE OF CONTENTS Chapter 4: Relational Query Languages 174 4.1: General Remarks Regarding Query Languages 174 4.2: ISBL: A "Pure" Relational Algebra Language 177 4.3: QUEL: A Tuple Relational Calculus Language 185 4.4: Query-by-Example: A DRC Language 195 4.5: Data Definition in QBE 207 4.6: -
Datalog Educational System V4.2 User's Manual
Universidad Complutense de Madrid Datalog Educational System Datalog Educational System V4.2 User’s Manual Fernando Sáenz-Pérez Grupo de Programación Declarativa (GPD) Departamento de Ingeniería del Software e Inteligencia Artificial (DISIA) Universidad Complutense de Madrid (UCM) September, 25th, 2016 Fernando Sáenz-Pérez 1/341 Universidad Complutense de Madrid Datalog Educational System Copyright (C) 2004-2016 Fernando Sáenz-Pérez Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in Appendix A, in the section entitled " Documentation License ". Fernando Sáenz-Pérez 2/341 Universidad Complutense de Madrid Datalog Educational System Contents 1. Introduction........................................................................................................................... 9 1.1 Novel Extensions in DES ......................................................................................... 10 1.2 Highlights for the Current Version ........................................................................ 11 1.3 Features of DES in Short .......................................................................................... 11 1.4 Future Enhancements............................................................................................... 14 1.5 Related Work............................................................................................................ -
Sciql, a Query Language for Science Applications
SciQL, A Query Language for Science Applications M. Kersten, N. Nes, Y. Zhang, M. Ivanova CWI, Netherlands ABSTRACT technology has long been recognized [6, 34, 15, 18, 9, 20, 16, 4, Scientific applications are still poorly served by contemporary re- 31]. In particular, an efficient implementation of array and time lational database systems. At best, the system provides a bridge series concepts is missing [15, 34, 24, 1]. The main problems en- towards an external library using user-defined functions, explicit countered with relational systems in science can be summed up as import/export facilities or linked-in Java/C# interpreters. Time has (a) the impedance mismatch between query language and array ma- come to rectify this with SciQL1, a SQL-query language for science nipulation, (b) SQL is verbose for simple array expressions, (c) AR- applications with arrays as first class citizens. It provides a seam- RAYs are not first class citizens, (d) ingestion of Tera-bytes data is less symbiosis of array-, set-, and sequence- interpretation using too slow. The traditional DBMS simply carries too much overhead. a clear separation of the mathematical object from its underlying Moreover, much of the science processing involves use of standard storage representation. libraries, e.g., Linpack, and statistics tools, e.g., R. Their interac- The language extends value-based grouping in SQL with struc- tion with a database is often confined to a simplified import/export tural grouping, i.e., fixed-sized and unbounded groups based on dataset facility. A workflow management system is indispensable explicit relationships between its index attributes. -
Object Persistence
Object Persistence Object Oriented Programming Introduction • One of the most critical tasks that applications have to perform is to save and restore data • Persistence is the storage of data from working memory so that it can be restored when the application is run again • In object-oriented systems, there are several ways in which objects can be made persistent • The choice of persistence method is an important part of the design of an application Object Oriented Programming Object Serialization Object Oriented Programming Object Serialization • Simple persistence method which provides a program the ability to read or write a whole object to and from a stream of bytes • Allows Java objects to be encoded into a byte stream suitable for streaming to a file on disk or over a network • The class must implement the Serializable interface (java.io.Serializable), which does not declare any methods, and have accessors and mutators for its attributes Object Oriented Programming Object Serialization // create output stream File file = new File("teams_serialize.ser"); String fullPath = file.getAbsolutePath(); fos = new FileOutputStream(fullPath); // open output stream and store team t1 out = new ObjectOutputStream(fos); out.writeObject(t1); Object Oriented Programming Using Databases • Most Client-Server applications use a RDBMS as their data store while using an object-oriented programming language for development • Objects must be mapped to tables in the database and vice versa • Applications generally require the use of SQL statements embedded -
A Query Facility for Allegro Redacted for Privacy Abstract Approved: Earl F
AN ABSTRACT OF THE THESIS OF Richard Goodemoot for the degree of Master of Science in Computer Science presented on June 11 1986. Title: A Query Facility for Allegro Redacted for Privacy Abstract approved: Earl F. Ecklund, Jr. Allegro is a network database management system being developed at Oregon State University. This project adds a user friendly query facility to the system. The user is presented with pictorial display of the network records and a query interface modeled on the QueryByExample system.By request the user may be shown the network sets of the queryschema. When necessary the user may specify query navigationofthe network schema. While implemented and functional, this facility should be considered as a feasibility study for a full query system on a network data base. To provide the desired display this facility is implemented on a system separate from the main Allegro system and uses a communication interface to it. This facility is a Smalitalk implementation. A Query Facility for Allegro by Richard Goodemoot A THESIS submitted to Oregon State University In partial fulfillment of the requirements for the degree of Master of Science Completed June 11, 1986 Commencement June 1987 APPROVED: / Redacted for Privacy Adjunct Professor of Computer Science in Charge of Major Redacted for Privacy on behalf of Walter Rudd Chairman of Department of Computer Science Redacted for Privacy Dean of Gradtfate School Date thesis is presented June 11, 1986 Typed by Richard Goodemoot TABLE OF CONTENTS Page 1 INTRODUCTION 1 1.1 Network Database -
Object Database Management Systems: Concepts and Features
nIST Special Publication 500-179 Computer Systems Object Database Technology Management Systems: U.S. DEPARTMENT OF COMMERCE National Institute of Concepts and Features Standards and Technology Christopher E. Dabrowski Nisr Elizabeth N. Fong Deyuan Yang NAT L INST. OF STAND & TECH R.I.C, A111D3 3aTS7t, REFERENCE NIST PUBLICATIONS -QC" 100 U57 500-179 1990 NATIONAL MSTrrUTE OF STANDARDS & TECHNOLOGY Research Informatm Center Gaithersburg, MD 20899 NIST Special Publication 500-179 t Object Database Management Systems: Concepts and Features Christopher E. Dabrowski Elizabeth N. Fong Deyuan Yang National Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 April 1990 U.S. DEPARTMENT OF COMMERCE Robert A. Mosbacher, Secretary NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY John W. Lyons, Director Reports on Computer Systems Technology The National Institute of Standards and Technology (NIST) (formerly the National Bureau of Standards) has a unique responsibility for computer systems technology within the Federal government. NIST's National Computer Systems Laboratory (NCSL) develops standards and guidelines, provides technical assistance, and conducts research for computers and related telecommunications systems to achieve more effective utilization of Federal information technology resources. NCSL's responsibilities include development of technical, management, physical, and administrative standards and guidelines for the cost-effective security and privacy of sensitive unclassified information processed in Federal computers. NCSL assists agencies in developing security plans and in improving computer security awareness train- ing. This Special Publication 500 series reports NCSL research and guidelines to Federal agencies as well as to organizations in industry, government, and academia. National Institute of Standards and Technology Special Publication 500-179 Natl. -
1 Query Languages This Section Lists All the Query Languages That the Query Language Investigation Team Determined Were Relevant Possibilities
1 Query Languages This section lists all the query languages that the Query Language Investigation team determined were relevant possibilities: 1.1 XPath Reference: http://www.w3.org/TR/xpath20/ 1.2 XQuery Reference: http://www.w3.org/XML/Query 1.3 XQL Reference: http://www.ibiblio.org/xql/xql-proposal.html 1.4 OQL Reference: http://www.odmg.org/ 1.5 SQL Reference: http://www.ansi.org/ 1.6 DMQL2 Reference: http://www.rets-wg.org/docs/index.html 2 XPath Query Language Comparison 2.1 XPath Language Definition XPath was designed to be used (by XSLT and XPointer) to address parts of an XML document either by location or by pattern matching capabilities exercised on content at those locations. Pattern matching is facilitated via string manipulation, numeric operations, and Boolean logic functionality. The language uses a compact, non-XML syntax that operates on the hierarchical structure of an XML document. Each XPath expression operates starting from the current context (a node within the document) and yields a node set, a boolean value, a number, or a string; expressions can be nested. The language consists of 37 tokens and 27 functions. 13 of the tokens are related to location, 14 to pattern matching, and 10 to the lexical structure. The functions deal with node identification, string manipulation, conversion to and numeric manipulation, and Boolean evaluation. Given that it operates on an XML document, to be used as the RETS query language between a client and a server XPath would require that the client and server share a common XML document representation of the data to be searched.