Migrating Borland® Database Engine Applications to Dbexpress
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Universidade Salvador – Unifacs Programa De Pós-Graduação Em Redes De Computadores Mestrado Profissional Em Redes De Computadores
UNIVERSIDADE SALVADOR – UNIFACS PROGRAMA DE PÓS-GRADUAÇÃO EM REDES DE COMPUTADORES MESTRADO PROFISSIONAL EM REDES DE COMPUTADORES DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Salvador 2005 DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Dissertação apresentada ao Mestrado Profissional em Redes de Computadores da Universidade Salvador – UNIFACS, como requisito parcial para obtenção do grau de Mestre. Orientador: Prof. Dr. Manoel Gomes de Mendonça. Salvador 2005 Lessa, Demian Interfaces gráficas com o usuário: uma abordagem baseada em padrões / Demian Lessa. – Salvador, 2005. 202 f.: il. Dissertação apresentada ao Mestrado Profissional em Redes de Computadores da Universidade Salvador – UNIFACS, como requisito parcial para a obtenção do grau de Mestre. Orientador: Prof. Dr. Manoel Gomes de Mendonça. 1. Interfaces gráficas para usuário - Sistema de computador. I. Mendonça, Manoel Gomes de, orient. II. Título. TERMO DE APROVAÇÃO DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Dissertação aprovada como requisito parcial para obtenção do grau de Mestre em em Redes de Computadores da Universidade Salvador – UNIFACS, pela seguinte banca examinadora: Manoel Gomes de Mendonça – Orientador _________________________________ Doutor em Ciência da Computação pela Universidade de Maryland em College Park, Estados Unidos Universidade Salvador - UNIFACS Celso Alberto Saibel Santos ____________________________________________ Doutor em Informatique Fondamentalle et Parallelisme pelo Université Paul Sabatier de Toulouse III, França Universidade Federal da Bahia – UFBA Flávio Morais de Assis Silva _____________________________________________ Doutor em Informática pelo Technische Universität Berlin, Alemanha Universidade Federal da Bahia – UFBA Salvador de de 2005 A meus pais, Luiz e Ines, pelo constante incentivo intelectual e, muito especialmente, por todo amor e carinho repetidamente demonstrados. -
Index Selection for In-Memory Databases
International Journal of Computer Sciences &&& Engineering Open Access Research Paper Volume-3, Issue-7 E-ISSN: 2347-2693 Index Selection for in-Memory Databases Pratham L. Bajaj 1* and Archana Ghotkar 2 1*,2 Dept. of Computer Engineering, Pune University, India, www.ijcseonline.org Received: Jun/09/2015 Revised: Jun/28/2015 Accepted: July/18/2015 Published: July/30/ 2015 Abstract —Index recommendation is an active research area in query performance tuning and optimization. Designing efficient indexes is paramount to achieving good database and application performance. In association with database engine, index recommendation technique need to adopt for optimal results. Different searching methods used for Index Selection Problem (ISP) on various databases and resemble knapsack problem and traveling salesman. The query optimizer reliably chooses the most effective indexes in the vast majority of cases. Loss function calculated for every column and probability is assign to column. Experimental results presented to evidence of our contributions. Keywords— Query Performance, NPH Analysis, Index Selection Problem provides rules for index selections, data structures and I. INTRODUCTION materialized views. Physical ordering of tuples may vary from index table. In cluster indexing, actual physical Relational Database System is very complex and it is design get change. If particular column is hits frequently continuously evolving from last thirty years. To fetch data then clustering index drastically improves performance. from millions of dataset is time consuming job and new In in-memory databases, memory is divided among searching technologies need to develop. Query databases and indexes. Different data structures are used performance tuning and optimization was an area of for indexes like hash, tree, bitmap, etc. -
Amazon Aurora Mysql Database Administrator's Handbook
Amazon Aurora MySQL Database Administrator’s Handbook Connection Management March 2019 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. © 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. Contents Introduction .......................................................................................................................... 1 DNS Endpoints .................................................................................................................... 2 Connection Handling in Aurora MySQL and MySQL ......................................................... 3 Common Misconceptions .................................................................................................... 5 Best Practices ...................................................................................................................... 6 Using Smart Drivers ........................................................................................................ -
Innodb 1.1 for Mysql 5.5 User's Guide Innodb 1.1 for Mysql 5.5 User's Guide
InnoDB 1.1 for MySQL 5.5 User's Guide InnoDB 1.1 for MySQL 5.5 User's Guide Abstract This is the User's Guide for the InnoDB storage engine 1.1 for MySQL 5.5. Beginning with MySQL version 5.1, it is possible to swap out one version of the InnoDB storage engine and use another (the “plugin”). This manual documents the latest InnoDB plugin, version 1.1, which works with MySQL 5.5 and features cutting-edge improvements in performance and scalability. This User's Guide documents the procedures and features that are specific to the InnoDB storage engine 1.1 for MySQL 5.5. It supplements the general InnoDB information in the MySQL Reference Manual. Because InnoDB 1.1 is integrated with MySQL 5.5, it is generally available (GA) and production-ready. WARNING: Because the InnoDB storage engine 1.0 and above introduces a new file format, restrictions apply to the use of a database created with the InnoDB storage engine 1.0 and above, with earlier versions of InnoDB, when using mysqldump or MySQL replication and if you use the older InnoDB Hot Backup product rather than the newer MySQL Enterprise Backup product. See Section 1.4, “Compatibility Considerations for Downgrade and Backup”. For legal information, see the Legal Notices. Document generated on: 2014-01-30 (revision: 37565) Table of Contents Preface and Legal Notices .................................................................................................................. v 1 Introduction to InnoDB 1.1 ............................................................................................................... 1 1.1 Features of the InnoDB Storage Engine ................................................................................ 1 1.2 Obtaining and Installing the InnoDB Storage Engine ............................................................... 3 1.3 Viewing the InnoDB Storage Engine Version Number ............................................................ -
Mysql Table Doesn T Exist in Engine
Mysql Table Doesn T Exist In Engine expensive:resumedIs Chris explicable majestically she outnumber or unlaboriousand prematurely, glowingly when and she short-lists pokes retread her some her gunmetals. ruffian Hirohito denationalise snools pleadingly? finically. Varicose Stanwood Sloane is Some basic functions to tinker with lowercase table name of the uploaded file size of lines in table mysql doesn exits If school has faced such a meadow before, please help herself with develop you fixed it. Hi actually am facing the trial error MySQL error 1932 Table '' doesn't exist in engine All of him sudden when cold try with access my module. This website uses cookies to insist you get the aggregate experience after our website. Incorrect file in my database corruption can not. File or work on your help others failed database is randomly generated unique identifiers, so i may require it work and different database and reload the. MDY file over a external network. Cookies usually has not contain information that allow your track broke down. You want to aws on how can a data is no, and easy to. Can be used for anybody managing a missing. Please double its capital letter promote your MySQL table broke and. Discuss all view Extensions that their available for download. Xampp-mysql Table doesn't exist the engine 1932 I have faced same high and sorted using below would Go to MySQL config file my file at Cxamppmysql. Mysqlfetchassoc supplied argument is nice a valid MySQL result. Config table in the. Column count of table in my problem persists. -
A Methodology for Evaluating Relational and Nosql Databases for Small-Scale Storage and Retrieval
Air Force Institute of Technology AFIT Scholar Theses and Dissertations Student Graduate Works 9-1-2018 A Methodology for Evaluating Relational and NoSQL Databases for Small-Scale Storage and Retrieval Ryan D. Engle Follow this and additional works at: https://scholar.afit.edu/etd Part of the Databases and Information Systems Commons Recommended Citation Engle, Ryan D., "A Methodology for Evaluating Relational and NoSQL Databases for Small-Scale Storage and Retrieval" (2018). Theses and Dissertations. 1947. https://scholar.afit.edu/etd/1947 This Dissertation is brought to you for free and open access by the Student Graduate Works at AFIT Scholar. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of AFIT Scholar. For more information, please contact [email protected]. A METHODOLOGY FOR EVALUATING RELATIONAL AND NOSQL DATABASES FOR SMALL-SCALE STORAGE AND RETRIEVAL DISSERTATION Ryan D. L. Engle, Major, USAF AFIT-ENV-DS-18-S-047 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY AIR FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base, Ohio DISTRIBUTION STATEMENT A. Approved for public release: distribution unlimited. AFIT-ENV-DS-18-S-047 The views expressed in this paper are those of the author and do not reflect official policy or position of the United States Air Force, Department of Defense, or the U.S. Government. This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. i AFIT-ENV-DS-18-S-047 A METHODOLOGY FOR EVALUATING RELATIONAL AND NOSQL DATABASES FOR SMALL-SCALE STORAGE AND RETRIEVAL DISSERTATION Presented to the Faculty Department of Systems and Engineering Management Graduate School of Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Ryan D. -
Digital Forensic Innodb Database Engine for Employee Performance Appraisal Application
125 E3S W eb of C onferences , 25002 (2019) https://doi.org/10.1051/e3sconf/201912525002 ICENIS 2019 Digital Forensic InnoDB Database Engine for Employee Performance Appraisal Application Daniel Yeri Kristiyanto1,*, Bambang Suhartono2 and Agus Wibowo1 1Department of Computer Systems, School of Electronics and Computer Science, Semarang - Indonesia 2 Department of Electrical Engineering, School of Electronics and Computer Science, Semarang – Indonesia Abstract. Data is something that can be manipulated by irresponsible people and causing fraud. The use of log files, data theft, unauthorized person, and infiltration are things that should be prevented before the problem occurs. The authenticity of application data that evaluates the performance of company employees is very crucial. This paper will explain how to maintain the company’s big data as a valid standard service to assess employee performance database, based on employee performance of MariaDB or MySQL 5.0.11 with InnoDB storage engine. The authenticity of data is required for decent digital evidence when sabotage occurs. Digital forensic analysis carried out serves to reveal past activities, record time and be able to recover deleted data in the InnoDB storage engine table. A comprehensive examination is carried out by looking at the internal and external aspects of the Relational Database Management System (RDBMS). The result of this research is in the form of forensic tables in the InnoDB engine before and after sabotage occurs. Keywords: Data log; data analytics; artefact digital; sabotage; InnoDB; penetration test. 1 Introduction research uses NTFS (New Technology File System). NTFS is very good for digital forensic analysis with At present almost all companies have a database system extensive application support [5, 6]. -
JAWABAN SOAL UTS 2018/2019 MATAKULIAH PEMPROGRAMAN BORLAND DELPHI TEORI Hari Krismanto 165100043 Fakultas Komputer, 448757248 [email protected]
Fakultas Komputer Hari Krismanto JAWABAN SOAL UTS 2018/2019 MATAKULIAH PEMPROGRAMAN BORLAND DELPHI TEORI Hari Krismanto 165100043 Fakultas Komputer, 448757248 [email protected] 1 Fakultas Komputer Hari Krismanto A. STUDI KASUS ( SK ) Pertanyaan Type A : pilihlah salah satu logo software anggota tim di paparkan dan di jelaskan. Jawaban : Lambang ini menjelaskan: Ini adalah logo toko alat Gaming Disitu ada warna ungu yang melambangkan kemewahan jadi seperti toko yang bernuansa mewah Dan DEN itu mewakili nama pemilik toko tersebut Yaitu DENNY dan S adalah SUKSES 17 Fakultas Komputer Hari Krismanto B. STUDI REFERENSI ( SP ) Pertanyaan Jenis A : Carilah Perbedaan Utama Borland Delphi 4.0 dan Borland Delphi 7.0 Jawaban : Delphi 4.0, dirilis pada 1998 , adalah Delphi klasik. Hal ini didukung 32- bit lingkungan Windows. Ini juga termasuk Delphi 1 dibundel bersama-sama untuk menciptakan 16-bit 4.1 aplikasi Windows. Sedangkan Borland Delphi 7.0 adalah Delphi merupakan bahasa pemrograman berbasis Windows yang menyediakan fasilitas pembuatan aplikasi visual seperti Visual Basic. Delphi memberikan kemudahan dalam menggunakan kode program, kompilasi yang cepat, penggunaan file unit ganda untuk pemrograman modular, pengembangan perangkat lunak, pola desain yang menarik serta diperkuat dengan bahasa pemrograman yang terstruktur dalam bahasa pemrograman Object Pascal. Delphi memiliki tampilan khusus yang didukung suatu lingkup kerja komponen Delphi untuk membangun suatu aplikasi dengan menggunakan Visual Component Library (VCL). Sebagian besar pengembang Delphi menuliskan dan mengkompilasi kode program dalam IDE (Integrated Development Environment). Delphi 7, dirilis pada bulan Agustus 2002, menjadi versi standar yang digunakan oleh pengembang Delphi lebih dari versi tunggal lainnya. Ini adalah salah satu keberhasilan paling IDE yang diciptakan oleh Borland karena kecepatan, yang stabilitas dan persyaratan perangkat keras rendah dan masih aktif digunakan untuk tanggal ini (2009). -
Introduction to Databases Presented by Yun Shen ([email protected]) Research Computing
Research Computing Introduction to Databases Presented by Yun Shen ([email protected]) Research Computing Introduction • What is Database • Key Concepts • Typical Applications and Demo • Lastest Trends Research Computing What is Database • Three levels to view: ▫ Level 1: literal meaning – the place where data is stored Database = Data + Base, the actual storage of all the information that are interested ▫ Level 2: Database Management System (DBMS) The software tool package that helps gatekeeper and manage data storage, access and maintenances. It can be either in personal usage scope (MS Access, SQLite) or enterprise level scope (Oracle, MySQL, MS SQL, etc). ▫ Level 3: Database Application All the possible applications built upon the data stored in databases (web site, BI application, ERP etc). Research Computing Examples at each level • Level 1: data collection text files in certain format: such as many bioinformatic databases the actual data files of databases that stored through certain DBMS, i.e. MySQL, SQL server, Oracle, Postgresql, etc. • Level 2: Database Management (DBMS) SQL Server, Oracle, MySQL, SQLite, MS Access, etc. • Level 3: Database Application Web/Mobile/Desktop standalone application - e-commerce, online banking, online registration, etc. Research Computing Examples at each level • Level 1: data collection text files in certain format: such as many bioinformatic databases the actual data files of databases that stored through certain DBMS, i.e. MySQL, SQL server, Oracle, Postgresql, etc. • Level 2: Database -
LXFDVD Mopslinux 6.0
LXF97 Python » MySQL » Slashdot » OpenMoko LXFDVD MOPSLinux 6.0 ПЛЮС: ALT Linux 4.0 Personal Desktop LXF Октябрь 2007 » Zenwalk Live & Core » KDE 4 Beta 2 № 10(97) Главное в мире Linux № 1100 Ubuntu ООктябрьктябрь ((97)97) 22007007 БоремсясоSlashdot-эффектом Борьба за лучший Эксклюзивная информация Python о том, как делается самый ParagonNTFS популярный в мире дистрибутив Что нового в Gusty Gibbon? Мнения разработчиков ЛуисСуарес-Поттс ППЛЮС!ЛЮС! Собери свой собственный Ubuntu Mono SedиAwk OpenMoko Пишемсобственныйebuild Не заSlashdot’ишь! Bash, Sed, Awk Ebuild’нем… Подготовьте свой web-сайт к Накоротке с основными инстру- Приготовьте исходный код для наплыву посетителей с. 42 ментами командной строки с. 58 пользователей Gentoo с. 72 ККаталогаталог аагентствагентства «РРОСПЕЧАТЬОСПЕЧАТЬ» – подписной индекс 2208820882 ККаталогаталог «ППРЕССАРЕССА РРОССИИОССИИ» – подписной индекс 8879747974 Я ни на секунду не предлагаю ОOо стать Боргом! OpenOffice.org Луис Суарес-Поттс Приветствие Главное в мире Linux К Вашим услугам... Продав компанию Thawte, основатель Ubuntu Марк Шаттлворт заработал 575 миллионов долларов. А на что бы вы потратили эту сумму, окажись она в вашем распоряжении? Пол Хадсон Грэм Моррисон Майк Сондерс Я бы создал фонд Я бы притворился Я бы проспонсиро- помощи бездомным бездомным ребен- вал строительство детям... а затем ком, чтобы урвать механических без- купил большую, еще и кусок, достав- домных детей, блестящую машину. шийся Полу. чтобы они делали работу, которую сейчас выполняют живые бездомные дети. В плену у технологий Жить без технологий невозможно – по крайней мере, если вы с удовольствием читаете журналы вроде LXF. Компьютеры (как проявление технологий) берут на себя тяжелую и рутинную работу вроде размещения на бумаге символов, которые я сейчас набираю – а вам остается только пожинать плоды заслуженного Эфрейн Эрнандес- Мэтт Нейлон Энди Ченнел Мендоса Я бы вложил один- Я бы закупил мно- бездействия.. -
The Design and Implementation of a Non-Volatile Memory Database Management System Joy Arulraj
The Design and Implementation of a Non-Volatile Memory Database Management System Joy Arulraj CMU-CS-- July School of Computer Science Computer Science Department Carnegie Mellon University Pittsburgh, PA Thesis Committee Andrew Pavlo (Chair) Todd Mowry Greg Ganger Samuel Madden, MIT Donald Kossmann, Microsoft Research Submitted in partial fulllment of the requirements for the degree of Doctor of Philosophy. Copyright © Joy Arulraj This research was sponsored by the National Science Foundation under grant number CCF-, the University Industry Research Corporation, the Samsung Fellowship, and the Samson Fellowship. The views and conclusions con- tained in this document are those of the author and should not be interpreted as representing the official policies, either expressed or implied, of any sponsoring institution, the U.S. government or any other entity. Keywords: Non-Volatile Memory, Database Management System, Logging and Recovery, Stor- age Management, Buffer Management, Indexing To my family Abstract This dissertation explores the implications of non-volatile memory (NVM) for database manage- ment systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as volatile memory, but all writes to them are persistent even after power loss. Existing DBMSs are unable to take full advantage of this technology because their internal architectures are predicated on the assumption that memory is volatile. With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications. We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. -
Introducing Severalnines Clustercontrol™
Introducing Severalnines ClusterControl™ The Virtual DBA Assistant for clustered databases A Severalnines Business White Paper March 2011 © Copyright 2011 Severalnines AB. All rights reserved. Severalnines and the Severalnines logo(s) are trademarks of Severalnines AB. MySQL is a registered trademark of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. © 2011 Severalnines AB. Table of Contents Introduction .................................................................................................... 3 1.1 Total Database Lifecycle ..................................................................................................4 2 Development Phase.................................................................................. 5 2.1 Building a test cluster .......................................................................................................5 2.1.1 Challenges in building a test cluster .........................................................................5 2.1.2 Severalnines ClusterControl™ Configurator............................................................5 2.2 Database application testing .............................................................................................6 2.2.1 Common mistakes when testing cluster database applications.................................6 2.2.2 Introducing the Cluster Sandbox for MySQL Cluster ...............................................7 3 Deployment ..............................................................................................