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Features and Functionality History Mimer SQL, Features and Functionality History © Copyright Mimer Informationtechnology AB, August 2017
Mimer SQL Features and Functionality History Mimer SQL, Features and Functionality History © Copyright Mimer InformationTechnology AB, August 2017 The contents of this manual may be printed in limited quantities for use at a Mimer SQL installation site. No parts of the manual may be reproduced for sale to a third party. Information in this document is subject to change without notice. All registered names, product names and trademarks of other companies mentioned in this documentation are used for identification purposes only and are acknowledged as the property of the respective company. Companies, names and data used in examples herein are fictitious unless otherwise noted. Produced and published by Mimer InformationTechnology AB, Uppsala, Sweden. P.O. Box 1713, SE-751 47 Uppsala, Sweden. Tel +46(0)18-780 92 00. Fax +46(0)18-780 92 40. Mimer Web Sites: http://developer.mimer.com http://www.mimer.com Mimer SQL i Features and Functionality History Contents Chapter 1 New Features and Functions ........................................................... 1 The Mimer SQL Database Server..................................................................................1 Internal Databank Identifier Invalid (V9.3.8B) ............................................................... 1 Background Dbcheck Hang (V9.3.8).............................................................................. 1 LOGDB Restart (V9.3.8).................................................................................................. 1 Improved Control of LOB References -
Database Access Via Programming Languages 5DV119 — Introduction to Database Management Ume˚Auniversity Department of Computing Science Stephen J
Database Access via Programming Languages 5DV119 | Introduction to Database Management Ume˚aUniversity Department of Computing Science Stephen J. Hegner [email protected] http://www.cs.umu.se/~hegner Database Access via Programming Languages 20150213 Slide 1 of 20 The Limitations of Stand-Alone SQL • SQL is primarily a language for data definition, retrieval, and update. • It is not designed for complex computation. • Enhancements such as OLAP are useful for certain specific tasks, but still leave many important tasks difficult or impossible to achieve. Theoretical shortcoming: Unlike most programming languages, it is not Turing complete. • There are computations which cannot be expressed in SQL at all. Interoperability shortcoming: Stand-alone SQL clients are generally vendor specific. • Concurrent access to databases of different vendors is not possible with a single client. • Access to multiple databases via the same client is usually awkward, requiring vendor-specific directives. Database Access via Programming Languages 20150213 Slide 2 of 20 The Limitations of Stand-Alone SQL: 2 Practical shortcomings: There is also a host of practical reasons why stand-alone SQL does not suffice: Accessibility: Most users of databases are not computer scientists. • They need a custom interface for non-experts. • Even experts can often work more effectively via custom interfaces. Simplicity: Real-world database schemata are often very large and complex. • Users often need to work with custom views which present what they need to know and are allowed to know. Security: The correct management of access rights is a very complex task. • It is often easier to manage access by admitting access via specific interfaces. -
Openvms Guide
Mimer SQL OpenVMS Guide Version 11.0 Mimer SQL, OpenVMS Guide, Version 11.0, January 2018 © Copyright Mimer Information Technology AB. The contents of this manual may be printed in limited quantities for use at a Mimer SQL installation site. No parts of the manual may be reproduced for sale to a third party. Information in this document is subject to change without notice. All registered names, product names and trademarks of other companies mentioned in this documentation are used for identification purposes only and are acknowledged as the property of the respective company. Companies, names and data used in examples herein are fictitious unless otherwise noted. Produced and published by Mimer Information Technology AB, Uppsala, Sweden. Mimer SQL Web Sites: https://developer.mimer.com https://www.mimer.com Contents i Contents .............................................................................................................................. i Chapter 1 Introduction .......................................................................................1 About Mimer SQL for OpenVMS...................................................................................1 The Mimer SQL Database Server .................................................................................. 1 Embedded SQL................................................................................................................. 1 Module SQL...................................................................................................................... -
Sql Plus Download Mac
Sql plus download mac LINK TO DOWNLOAD oracle sql plus free download - Insight Developer for Oracle, SQLite Database, Orac, and many more programs. SQL*Plus Instant Client can be installed in two ways: Download the packages from the Oracle Technology Network (OTN). Copy the same files that are in the packages from an Oracle Database 10 g Client Administrator installation. Both the SQL*Plus and OCI packages must be from the same Oracle Database version, for example, SQL*PLus on Mac. December 1st, Goto comments Leave a comment. I would think installing SQL*Plus on the Mac would be point, click download, point click, install bam it works. Nah. It did install mostly straight forward on my old Mac. Got a new Mac and no dice. Jul 30, · Download the (free) Docker Community Edition for Mac (unless you’ve already got it installed on your system). This will enable you to run SQL Server from within a Docker container. To download, visit the Docker CE for Mac download page and click Get Docker. Find "Macintosh OSX" and download both the Basic and SQL*Plus packages from the Instant Client downloads page. Move the contents of both into a single convenient folder (I used /Applications/Application_folders/instantclient). Add the location to your PATH variable, and also set DYLD_LIBRARY_PATH to point to it; for example. That could affect running SQL*Plus from a shell script, for example. There are workarounds for the 11g instant client. The installation notes at the bottom of the download page have changed since I last did this, and it now says to hard link the library files to the user's ~/lib directory to avoid that issue. -
Squirrel SQL Client
Pagina: 1 di 22 Versione: 01.09 Data agg.: 08/02/2021 RM Squirrel SQL client guida rapida Autori: Marco Riva Revisori: g:\installazioni\squirrel sql client 4.1.0\squirrel sql client - guida rapida.docx Squirrel SQL client Pagina: 2 di 22 guida rapida Versione: 01.09 Data agg.: 08/02/2021 RM Sommario 1. Introduzione ........................................ 3 1.1. Fast startup .......................................... 3 2. Installazione ........................................ 4 2.1. Requisiti ............................................... 4 2.2. Download ............................................. 4 2.3. Installazione .......................................... 4 2.4. Aggiornamento ...................................... 4 3. Overview ............................................ 5 4. Configurazione ..................................... 5 4.1. Configurazione driver per DB2 for i ........... 5 4.2. Configurazione alias ............................... 7 5. Utilizzo .............................................. 12 5.1. Connessione ad un database .................. 12 5.2. Maggiori informazioni sull’area object ...... 14 5.2.1. Filtro e ricerca oggetti ..................... 14 5.2.2. Scheda content .............................. 15 5.2.3. Esportazione contenuti.................... 15 5.2.4. Modifica diretta in tabella ................ 16 5.3. Editor SQL .......................................... 17 5.3.1. Scorciatoie da tastiera .................... 17 5.3.2. Regole sintassi .............................. 17 5.3.3. Barra dei pulsanti .......................... -
Database Proxies: a Data Management Approach for Component-Based Real-Time Systems∗
Database Proxies: A Data Management approach for Component-Based Real-Time Systems¤ Andreas Hjertström, Dag Nyström, Mikael Sjödin Mälardalen Real-Time Research Centre, Västerås, Sweden {andreas.hjertstrom, dag.nystrom, mikael.sjodin}@mdh.se Abstract ture to share global data safely and efficiently by provid- ing concurrency-control, temporal consistency, and over- We present a novel concept, database proxies, which en- load and transaction management. Furthermore the typical able the fusion of two disjoint productivity-enhancement interface provided by the RTDBMS opens up for a whole techniques; Component Based Software Engineering new range of possibilities, much needed by industry, such (CBSE) and Real-Time Database Management Systems as dynamic run-time queries which could be a welcome (RTDBMS). This fusion is neither obvious nor intuitive contribution to aid in logging, diagnostics, monitoring [18], since CBSE and RTDBMS promotes opposing design goals; compared to the pre defined static data access often used by CBSE promotes encapsulation and decoupling of compo- developers today. nent internals from the component environment, whilst RT- CBSE promotes encapsulation of functionality into DBMS provide mechanisms for efficient and safe global reusable software entities that communicates through well data sharing. Database proxies decouple components from defined interfaces and that can be mounted together as an underlying database thus retaining encapsulation and building blocks. This enable a more efficient and structured component reuse, while providing temporally predictable development where available components can be reused or access to data maintained in database. We specifically tar- COTS components effectively can be integrated in the sys- get embedded systems with a subset of functionality with tem to save cost and increase quality. -
Datasheet: Rapidrep® Test Suite
Datasheet: RapidRep® Test Suite Overview: Test automation for the back-end The RapidRep® Test Suite is an innovative solution Test objects: Programs (non-GUI), data storage, data for the automated testing of objects that do not require processing, Web services, processes any user interaction (back-end). Test types: Function tests, migration tests, data com- parison tests, regression tests, and others RapidRep® is universally applicable and complies with all relevant ISO/IEC/IEEE testing standards. Further information: www.rapidrep.com/test-suite Important product features ● Rule Engine for the determination of expected re- XPath or Javascript sults (model-based testing with the help of sets of ● Integration of MS Excel as tool for test case design, rules) result presentation, management of rules ● Configurable solution for rule-based data quality ● Seamless connection to various test and defect evaluations and automated data comparison (with a management systems (see below) wizard) ● Version control of all states of development in a ● Integrated, efficient development environment for repository SQL and 2 script languages, incl. syntax highligh- ● Central administration of all settings for authentica- ting, proposal lists, business API tion and authorization ● Wizard for the connection to and further processing ● Documentation, Help, program surface are all avail- of Web services by means of SQL, XQuery, XSLT, able completely in German and English Supported systems Test management systems Repository databases ● HP Quality Center / ALM: -
Presto: the Definitive Guide
Presto The Definitive Guide SQL at Any Scale, on Any Storage, in Any Environment Compliments of Matt Fuller, Manfred Moser & Martin Traverso Virtual Book Tour Starburst presents Presto: The Definitive Guide Register Now! Starburst is hosting a virtual book tour series where attendees will: Meet the authors: • Meet the authors from the comfort of your own home Matt Fuller • Meet the Presto creators and participate in an Ask Me Anything (AMA) session with the book Manfred Moser authors + Presto creators • Meet special guest speakers from Martin your favorite podcasts who will Traverso moderate the AMA Register here to save your spot. Praise for Presto: The Definitive Guide This book provides a great introduction to Presto and teaches you everything you need to know to start your successful usage of Presto. —Dain Sundstrom and David Phillips, Creators of the Presto Projects and Founders of the Presto Software Foundation Presto plays a key role in enabling analysis at Pinterest. This book covers the Presto essentials, from use cases through how to run Presto at massive scale. —Ashish Kumar Singh, Tech Lead, Bigdata Query Processing Platform, Pinterest Presto has set the bar in both community-building and technical excellence for lightning- fast analytical processing on stored data in modern cloud architectures. This book is a must-read for companies looking to modernize their analytics stack. —Jay Kreps, Cocreator of Apache Kafka, Cofounder and CEO of Confluent Presto has saved us all—both in academia and industry—countless hours of work, allowing us all to avoid having to write code to manage distributed query processing. -
Openvms Guide
Mimer SQL OpenVMS Guide Version 10.1 Mimer SQL, OpenVMS Guide, Version 10.1, December 2017 © Copyright Mimer Information Technology AB. The contents of this manual may be printed in limited quantities for use at a Mimer SQL installation site. No parts of the manual may be reproduced for sale to a third party. Information in this document is subject to change without notice. All registered names, product names and trademarks of other companies mentioned in this documentation are used for identification purposes only and are acknowledged as the property of the respective company. Companies, names and data used in examples herein are fictitious unless otherwise noted. Produced and published by Mimer Information Technology AB, Uppsala, Sweden. P.O. Box 1713, SE-751 47 Uppsala, Sweden. Tel +46(0)18-780 92 00. Fax +46(0)18-780 92 40. Mimer SQL Web Sites: http://developer.mimer.com http://www.mimer.com Contents i Contents .............................................................................................................................. i Chapter 1 Introduction ....................................................................................... 1 About Mimer SQL for OpenVMS...................................................................................1 The Mimer SQL Database Server .................................................................................. 1 Embedded SQL................................................................................................................. 1 JDBC Driver...................................................................................................................... -
What Is Mimer SQL 11 C
WHAT IS MIMER SQL 11 Mimer is a company with a strong foundation in standards and innovation. The Mimer SQL dataBase server has from the start been built with scalability and flexiBility in mind, which is why it is, in the true sense of the word, the Swiss Army Knife of dataBases. With Mimer SQL you can freely mix between various technologies for replication, database partitioning, distribution, physical hardware, in-memory operation, operating systems, all depending on your applications’ needs. Thanks to this flexiBility, and an extremely compact code Base, Mimer SQL has an unsurpassed support for multiple computing platforms where we can provide the exact same functions and capabilities, regardless if Mimer SQL runs in an emBedded system such as an IoT device, or a vehicle, in the cloud, or in the datacenter of an enterprise. Being a true 64-bit solution, the only thing that limits the size of data that Mimer SQL can handle is the hardware. Our codeBase is designed with this flexiBility in mind which explains the Broad range of operating systems and architectures Mimer SQL is ported to, and the range of computing environments we support. The way we can offer a complete, Core SQL-2016 compliant dataBase over the whole range of products, is unique in the market. Mimer SQL is used for enterprise, cloud, desktop, emBedded systems, and real time applications, and we have versions for operating systems such as Windows, Linux, macOS, and VMS as well as support for emBedded and real time operating systems such as INTEGRITY from Green Hills Software, QNX from BlackBerry, VxWorks, and Android. -
Mimer SQL on Openvms Present and Future
Mimer SQL on OpenVMS Present and Future Bengt Gunne, CTO 1 Agenda . Background . Mimer customers . Platforms . Technical features . Mimer SQL on OpenVMS . Ongoing development . Q&A 2 Bengt Gunne . Started working with Mimer in 1981 – Have worked with many parts of the system such as: . Database kernel . Transaction handling . Client/server communications . Clients such as ODBC and ADO.NET . Overall design . Multiuser systems for PDP, VMS, HP-UX, Windows etc. Most recently written a new SQL optimizer – Head of development since 1991 – Chief Technical Officer 3 Who was Mimer? Mimer was a giant in the Norse Mythology who guarded the well of wisdom. The gods came to Mimer for advice. When they looked into the well they could see everything that happened in the world. The god Oden even took out one of his eyes and put it in the well to be able to see everything at all times. Today, ordinary people come to Mimer for advice… 4 Mimer Information Technology AB . HQ in Uppsala, Sweden – Office in Stockholm and Beijing – Partners in China, Japan, Korea, Central Europe, and USA . World class experts in relational database technology . Developer of the Mimer SQL product family – Enterprise Solutions – Industrial/Automotive/Embedded Solutions – Mobile Solutions . Mimer SQL used in mission critical systems world wide since the 1970s 5 What is Mimer SQL? . Relational database management system . Standard SQL . Runs on many platforms – Tight integration with OpenVMS 6 Company focus . The company focuses solely on Mimer SQL – Tools are through third party integrations . How is this possible/facilitated? – Standard SQL – Standard programming interfaces Requires a truly open system 7 Mimer SQL background . -
Data Management in Component-Based Embedded Real-Time Systems
Mälardalen University Doctoral Thesis No. 125 Data Management in Component-Based Embedded Real-Time Systems Andreas Hjertström June 2012 School of Innovation, Design and Engineering Copyright ⃝c Andreas Hjertström, 2012 ISSN 1651-4238 ISBN 978-91-7485-064-2 Printed by Mälardalen University, Västerås, Sweden Distribution: Mälardalen University Press Abstract This thesis presents new data management techniques for run-time data in component-based embedded real-time systems. These techniques enable data to be modeled, analyzed and structured to improve data management dur- ing system development, maintenance, and execution. The foundation of our work is a case-study that identifies a number of problems with current state-of- practice in data management for industrial embedded real-time systems. We introduce two novel concepts: the data entity and the database proxy. The data entity is a design-time concept that allows designers to manage data objects throughout different design and maintenance activities. It includes data-type specification, documentation, specification of timing and quality pro- perties, tracing of dependencies between data objects, and enables analysis and automated validation. The database proxy is a run-time concept designed to allow the use of state- of-the-art database technologies in contemporary software-component tech- nologies for embedded systems. Database proxies decouple components from an underlying database residing in the component framework. This allows components to remain encapsulated and reusable, while providing temporally predictable access to data maintained in a database, thus enabling the use of database technologies, which has previously excluded, in these systems. To validate our proposed techniques, we present a tool implementation of the data entity as well as implementations of the database proxy approach, using commercial tools, the AUTOSAR standardized automotive software ar- chitecture, and automotive hardware.