Socrates: the New SQL Server in the Cloud
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SD-SQL Server: Scalable Distributed Database System
The International Arab Journal of Information Technology, Vol. 4, No. 2, April 2007 103 SD -SQL Server: Scalable Distributed Database System Soror Sahri CERIA, Université Paris Dauphine, France Abstract: We present SD -SQL Server, a prototype scalable distributed database system. It let a relational table to grow over new storage nodes invis ibly to the application. The evolution uses splits dynamically generating a distributed range partitioning of the table. The splits avoid the reorganization of a growing database, necessary for the current DBMSs and a headache for the administrators. We il lustrate the architecture of our system, its capabilities and performance. The experiments with the well -known SkyServer database show that the overhead of the scalable distributed table management is typically minimal. To our best knowledge, SD -SQL Server is the only DBMS with the discussed capabilities at present. Keywords: Scalable distributed DBS, scalable table, distributed partitioned view, SDDS, performance . Received June 4 , 2005; accepted June 27 , 2006 1. Introduction or k -d based with respect to the partitioning key(s). The application sees a scal able table through a specific The explosive growth of the v olume of data to store in type of updateable distributed view termed (client) databases makes many of them huge and permanently scalable view. Such a view hides the partitioning and growing. Large tables have to be hash ed or partitioned dynamically adjusts itself to the partitioning evolution. over several storage sites. Current DBMSs, e. g., SQL The adjustment is lazy, in the sense it occurs only Server, Oracle or DB2 to name only a few, provide when a query to the scalable table comes in and the static partitioning only. -
SQL Server 2017 on Linux Quick Start Guide | 4
SQL Server 2017 on Linux Quick Start Guide Contents Who should read this guide? ........................................................................................................................ 4 Getting started with SQL Server on Linux ..................................................................................................... 5 Why SQL Server with Linux? ..................................................................................................................... 5 Supported platforms ................................................................................................................................. 5 Architectural changes ............................................................................................................................... 6 Comparing SQL on Windows vs. Linux ...................................................................................................... 6 SQL Server installation on Linux ................................................................................................................ 8 Installing SQL Server packages .................................................................................................................. 8 Configuration capabilities ....................................................................................................................... 11 Licensing .................................................................................................................................................. 12 Administering and -
Bag-Of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database
Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database Marcin Korytkowski, Rafał Scherer, Paweł Staszewski, Piotr Woldan Institute of Computational Intelligence Cze¸stochowa University of Technology al. Armii Krajowej 36, 42-200 Cze¸stochowa, Poland Email: [email protected], [email protected] Abstract—This paper presents a novel relational database ar- data directly in the database files. The example of such an chitecture aimed to visual objects classification and retrieval. The approach can be Microsoft SQL Server where binary data is framework is based on the bag-of-features image representation stored outside the RDBMS and only the information about model combined with the Support Vector Machine classification the data location is stored in the database tables. MS SQL and is integrated in a Microsoft SQL Server database. Server utilizes a special field type called FileStream which Keywords—content-based image processing, relational integrates SQL Server database engine with NTFS file system databases, image classification by storing binary large object (BLOB) data as files in the file system. Microsoft SQL dialect (Transact-SQL) statements I. INTRODUCTION can insert, update, query, search, and back up FileStream data. Application Programming Interface provides streaming Thanks to content-based image retrieval (CBIR) access to the data. FileStream uses operating system cache for [1][2][3][4][5][6][7][8] we are able to search for similar caching file data. This helps to reduce any negative effects images and classify them [9][10][11][12][13]. Images can be that FileStream data might have on the RDBMS performance. -
An Overview of Distributed Databases
International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 4, Number 2 (2014), pp. 207-214 © International Research Publications House http://www. irphouse.com /ijict.htm An Overview of Distributed Databases Parul Tomar1 and Megha2 1Department of Computer Engineering, YMCA University of Science & Technology, Faridabad, INDIA. 2Student Department of Computer Science, YMCA University of Science and Technology, Faridabad, INDIA. Abstract A Database is a collection of data describing the activities of one or more related organizations with a specific well defined structure and purpose. A Database is controlled by Database Management System(DBMS) by maintaining and utilizing large collections of data. A Distributed System is the one in which hardware and software components at networked computers communicate and coordinate their activity only by passing messages. In short a Distributed database is a collection of databases that can be stored at different computer network sites. This paper presents an overview of Distributed Database System along with their advantages and disadvantages. This paper also provides various aspects like replication, fragmentation and various problems that can be faced in distributed database systems. Keywords: Database, Deadlock, Distributed Database Management System, Fragmentation, Replication. 1. Introduction A Database is systematically organized or structuredrepository of indexed information that allows easy retrieval, updating, analysis, and output of data. Each database may involve different database management systems and different architectures that distribute the execution of transactions [1]. A distributed database is a database in which storage devices are not all attached to a common processing unit such as the CPU. It may be stored in multiple computers, located in the same physical location; or may be dispersed over a network of interconnected computers. -
Blockchain Database for a Cyber Security Learning System
Session ETD 475 Blockchain Database for a Cyber Security Learning System Sophia Armstrong Department of Computer Science, College of Engineering and Technology East Carolina University Te-Shun Chou Department of Technology Systems, College of Engineering and Technology East Carolina University John Jones College of Engineering and Technology East Carolina University Abstract Our cyber security learning system involves an interactive environment for students to practice executing different attack and defense techniques relating to cyber security concepts. We intend to use a blockchain database to secure data from this learning system. The data being secured are students’ scores accumulated by successful attacks or defends from the other students’ implementations. As more professionals are departing from traditional relational databases, the enthusiasm around distributed ledger databases is growing, specifically blockchain. With many available platforms applying blockchain structures, it is important to understand how this emerging technology is being used, with the goal of utilizing this technology for our learning system. In order to successfully secure the data and ensure it is tamper resistant, an investigation of blockchain technology use cases must be conducted. In addition, this paper defined the primary characteristics of the emerging distributed ledgers or blockchain technology, to ensure we effectively harness this technology to secure our data. Moreover, we explored using a blockchain database for our data. 1. Introduction New buzz words are constantly surfacing in the ever evolving field of computer science, so it is critical to distinguish the difference between temporary fads and new evolutionary technology. Blockchain is one of the newest and most developmental technologies currently drawing interest. -
Guide to Design, Implementation and Management of Distributed Databases
NATL INST OF STAND 4 TECH H.I C NIST Special Publication 500-185 A111D3 MTfiDfi2 Computer Systems Guide to Design, Technology Implementation and Management U.S. DEPARTMENT OF COMMERCE National Institute of of Distributed Databases Standards and Technology Elizabeth N. Fong Nisr Charles L. Sheppard Kathryn A. Harvill NIST I PUBLICATIONS I 100 .U57 500-185 1991 C.2 NIST Special Publication 500-185 ^/c 5oo-n Guide to Design, Implementation and Management of Distributed Databases Elizabeth N. Fong Charles L. Sheppard Kathryn A. Harvill Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 February 1991 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) has a unique responsibility for computer systems technology within the Federal government, NIST's Computer Systems Laboratory (CSL) devel- ops standards and guidelines, provides technical assistance, and conducts research for computers and related telecommunications systems to achieve more effective utilization of Federal Information technol- ogy resources. CSL's responsibilities include development of technical, management, physical, and ad- ministrative standards and guidelines for the cost-effective security and privacy of sensitive unclassified information processed in Federal computers. CSL assists agencies in developing security plans and in improving computer security awareness training. This Special Publication 500 series reports CSL re- search and guidelines to Federal agencies as well as to organizations in industry, government, and academia. National Institute of Standards and Technology Special Publication 500-185 Natl. Inst. Stand. Technol. -
SQL Server 2019 Licensing Guide
Microsoft SQL Server 2019 Licensing guide Contents Overview 3 SQL Server 2019 editions 4 SQL Server and Software Assurance 7 How SQL Server 2019 licenses are sold 9 Server and Cloud Enrolment SQL Server 2019 licensing models 11 Core-based licensing Server+CAL licensing Licensing SQL Server 2019 Big Data Cluster 14 Licensing SQL Server 2019 components 18 Licensing SQL Server 2019 in a virtualized environment 19 Licensing individual virtual machines Licensing for maximum virtualization Licensing SQL Server in containers 23 Licensing individual containers Licensing containers for maximum density Advanced licensing scenarios and detailed examples 27 Licensing SQL Server for high availability Licensing SQL Server for Disaster Recovery Azure Hybrid Benefit Licensing SQL Server for application mobility Licensing SQL Server for non-production use Licensing SQL Server in a multiplexed application environment Additional product information 39 SQL Server 2019 migration options for Software Assurance customers Additional product licensing resources Licensing SQL Server for the Analytics Platform System © 2019 Microsoft Corporation. All rights reserved. This document is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Microsoft provides this material solely for informational and marketing purposes. Customers should refer to their agreements for a full understanding of their rights and obligations under Microsoft’s Volume Licensing programs. Microsoft software is licensed not sold. The value and benefit gained through use of Microsoft software and services may vary by customer. Customers with questions about differences between this material and the agreements should contact their reseller or Microsoft account manager. Microsoft does not set final prices or payment terms for licenses acquired through resellers. -
Guide to Migrating from Oracle to SQL Server 2014 and Azure SQL Database
Guide to Migrating from Oracle to SQL Server 2014 and Azure SQL Database SQL Server Technical Article Writers: Yuri Rusakov (DB Best Technologies), Igor Yefimov (DB Best Technologies), Anna Vynograd (DB Best Technologies), Galina Shevchenko (DB Best Technologies) Technical Reviewer: Dmitry Balin (DB Best Technologies) Published: November 2014 Applies to: SQL Server 2014 Summary: This white paper explores challenges that arise when you migrate from an Oracle 7.3 database or later to SQL Server 2014. It describes the implementation differences of database objects, SQL dialects, and procedural code between the two platforms. The entire migration process using SQL Server Migration Assistant (SSMA) v6.0 for Oracle is explained in depth, with a special focus on converting database objects and PL/SQL code. Created by: DB Best Technologies LLC 2535 152nd Ave NE, Redmond, WA 98052 Tel: +1-855-855-3600 E-mail: [email protected] Web: www.dbbest.com Copyright This is a preliminary document and may be changed substantially prior to final commercial release of the software described herein. The information contained in this document represents the current view of Microsoft Corporation on the issues discussed as of the date of publication. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. This White Paper is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS DOCUMENT. Complying with all applicable copyright laws is the responsibility of the user. -
A Transaction Processing Method for Distributed Database
Advances in Computer Science Research, volume 87 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019) A Transaction Processing Method for Distributed Database Zhian Lin a, Chi Zhang b School of Computer and Cyberspace Security, Communication University of China, Beijing, China [email protected], [email protected] Abstract. This paper introduces the distributed transaction processing model and two-phase commit protocol, and analyses the shortcomings of the two-phase commit protocol. And then we proposed a new distributed transaction processing method which adds heartbeat mechanism into the two- phase commit protocol. Using the method can improve reliability and reduce blocking in distributed transaction processing. Keywords: distributed transaction, two-phase commit protocol, heartbeat mechanism. 1. Introduction Most database services of application systems will be distributed on several servers, especially in some large-scale systems. Distributed transaction processing will be involved in the execution of business logic. At present, two-phase commit protocol is one of the methods to distributed transaction processing in distributed database systems. The two-phase commit protocol includes coordinator (transaction manager) and several participants (databases). In the process of communication between the coordinator and the participants, if the participants without reply for fail, the coordinator can only wait all the time, which can easily cause system blocking. In this paper, heartbeat mechanism is introduced to monitor participants, which avoid the risk of blocking of two-phase commit protocol, and improve the reliability and efficiency of distributed database system. 2. Distributed Transactions 2.1 Distributed Transaction Processing Model In a distributed system, each node is physically independent and they communicates and coordinates each other through the network. -
Installing the Adventureworks Database for SQL Server Express (2008 Or 2005)
Installing the AdventureWorks Database for SQL Server Express (2008 or 2005) NOTE: This version of the database can be installed with EITHER SQL Server 2005 Express or SQL Server 2008 Express. 1. Get a copy of the software to install. If you have NOT already installed SQL Server Express, you must install this software first! You will need to get the sample database software in ONE of the following ways— download from Microsoft or copy from East campus server in Student lab: A. Download SQL Server AdventureWorks 2005 Sample database from Microsoft and save it to your hard drive. The sample databases are a free download from Microsoft. To download it, go to http://www.codeplex.com/SqlServerSamples . Click on the link AdventureWorks for SQL Server 2005. Then download the AdventureWorksDB.msi. B. Copy the file from the STUDATA folder to your CD. A folder named STUDATA (Student Data) has been set up to contain student data files. This folder is only accessible from East Campus—it is not available online. From My Computer, double click link to STUDATA. Files are in folder CGS2545. For these instructions, you will need the AdventureWorksDB.msi file, but you will need the other files for the class databases, so you should copy them now if you have not already done so! 2. Browse to the location on your hard drive where you have saved the AdventureWorksDB.msi file. Double click the file to start the install process. 3. Follow the instructions in the Install Wizard to complete the process Click Next> to continue. -
Implementing Distributed Transactions Distributed Transaction Distributed Database Systems ACID Properties Global Atomicity Atom
Distributed Transaction • A distributed transaction accesses resource managers distributed across a network Implementing Distributed • When resource managers are DBMSs we refer to the Transactions system as a distributed database system Chapter 24 DBMS at Site 1 Application Program DBMS 1 at Site 2 2 Distributed Database Systems ACID Properties • Each local DBMS might export • Each local DBMS – stored procedures, or – supports ACID properties locally for each subtransaction – an SQL interface. • Just like any other transaction that executes there • In either case, operations at each site are grouped – eliminates local deadlocks together as a subtransaction and the site is referred • The additional issues are: to as a cohort of the distributed transaction – Global atomicity: all cohorts must abort or all commit – Each subtransaction is treated as a transaction at its site – Global deadlocks: there must be no deadlocks involving • Coordinator module (part of TP monitor) supports multiple sites ACID properties of distributed transaction – Global serialization: distributed transaction must be globally serializable – Transaction manager acts as coordinator 3 4 Atomic Commit Protocol Global Atomicity Transaction (3) xa_reg • All subtransactions of a distributed transaction Manager Resource must commit or all must abort (coordinator) Manager (1) tx_begin (cohort) • An atomic commit protocol, initiated by a (4) tx_commit (5) atomic coordinator (e.g., the transaction manager), commit protocol ensures this. (3) xa_reg Resource Application – Coordinator -
Intelligent Implementation Processor Design for Oracle Distributed Databases System
International Conference on Control, Engineering & Information Technology (CEIT’14) Proceedings - Copyright IPCO-2014, pp. 278-296 ISSN 2356-5608 Intelligent Implementation Processor Design for Oracle Distributed Databases System Hassen Fadoua, Grissa Touzi Amel 1Université Tunis El Manar, LIPAH, FST, Tunisia 2Université Tunis El Manar, ENIT, LIPAH,FST, Tunisia {[email protected];[email protected]} Abstract. Despite the increasing need for modeling and implementing Distributed Databases (DDB), distributed database management systems are still quite far from helping the designer to directly implement its BDD. Indeed, the fundamental principle of implementation of a DDB is to make the database appear as a centralized database, providing series of transparencies, something that is not provided directly by the current DDBMS. We focus in this work on Oracle DBMS which, despite its market dominance, offers only a few logical mechanisms to implement distribution. To remedy this problem, we propose a new architecture of DDBMS Oracle. The idea is based on extending it by an intelligent layer that provides: 1) creation of different types of fragmentation through a GUI for defining different sites geographically dispersed 2) allocation and replication of DB. The system must automatically generate SQL scripts for each site of the original configuration. Keywords : distributed databases; big data; fragmentation; allocation; replication. 1 Introduction The organizational evolution of companies and institutions that rely on computer systems to manage their data has always been hampered by centralized structures already installed, this architecture does not respond to the need for autonomy and evolution of the organization because it requires a permanent return to the central authority, which leads to a huge waste of time and an overwhelmed work.