Oracle® Database Net Services Administrator's Guide
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TMS Xdata Documentation
Overview TMS XData is a Delphi framework that allows you to create HTTP/HTTPS servers that expose data through REST/JSON. It is highly integrated into TMS Aurelius in a way that creating XData services based on applications with existing Aurelius mappings are just a matter of a few lines of code. XData defines URL conventions for adressing resources, and it specifies the JSON format of message payloads. It is heavily based on the OData standard. Such conventions, with the benefit of existing Aurelius mapping, allow building a full REST/JSON server with minimum writing of code. TMS XData uses TMS Sparkle as its core communication library. TMS XData product page: https://www.tmssoftware.com/site/xdata.asp TMS Software site: https://www.tmssoftware.com TMS XData is a full-featured Delphi framework that allows you to create REST/JSON servers, using server-side actions named service operations, and optionally exposing TMS Aurelius entities through REST endpoints. Consider that you have an Aurelius class mapped as follows: [Entity, Automapping] TCustomer = class strict private FId: integer; FName: string; FTitle: string; FBirthday: TDateTime; FCountry: TCountry; public property Id: Integer read FId write FId; property Name: string read FName write FName; property Title: string read FTitle write FTitle; property Birthday: TDateTime read FDateTime write FDateTime; property Country: TCountry read FCountry write FCountry; end; With a few lines of code you can create an XData server to expose these objects. You can retrieve an existing TCustomer -
Near Real-Time Synchronization Approach for Heterogeneous Distributed Databases
DBKDA 2015 : The Seventh International Conference on Advances in Databases, Knowledge, and Data Applications Near Real-time Synchronization Approach for Heterogeneous Distributed Databases Hassen Fadoua, Grissa Touzi Amel LIPAH FST, University of Tunis El Manar Tunis, Tunisia e-mail: [email protected], [email protected] Abstract—The decentralization of organizational units led to column is not available in the list of the existing relational database distribution in order to solve high availability and database management systems (RDBMS). This storage performance issues regarding the highly exhausting consumers unit’s variety holds the first problem discussed in this paper: nowadays. The distributed database designers rely on data data exchange format between the heterogeneous nodes in replication to make data as near as possible from the the same Distributed Database Management System requesting systems. The data replication involves a sensitive (DDBMS). The process of transforming raw data from operation to keep data integrity among the distributed architecture: data synchronization. While this operation is source system to an exchange format is called serialization. necessary to almost every distributed system, it needs an in The reverse operation, executed by the receiver side, is depth study before deciding which entity to duplicate and called deserialization. In the heterogeneous context, the which site will hold the copy. Moreover, the distributed receiver side is different from one site to another, and thus environment may hold different types of databases adding the deserialization implementation may vary depending on another level of complexity to the synchronization process. In the local DBMS. This data serialization is a very sensitive the near real-time duplication process, the synchronization task that may speed down the synchronization process and delay is a crucial criterion that may change depending on flood the network. -
Aware, Workstation-Based Distributed Database System
THE ARCHITECTURE OF AN AUTONOMIC, RESOURCE- AWARE, WORKSTATION-BASED DISTRIBUTED DATABASE SYSTEM Angus Macdonald PhD Thesis February 2012 Abstract Distributed software systems that are designed to run over workstation machines within organisations are termed workstation-based. Workstation-based systems are characterised by dynamically changing sets of machines that are used primarily for other, user-centric tasks. They must be able to adapt to and utilize spare capacity when and where it is available, and ensure that the non-availability of an individual machine does not affect the availability of the system. This thesis focuses on the requirements and design of a workstation-based database system, which is motivated by an analysis of existing database architectures that are typically run over static, specially provisioned sets of machines. A typical clustered database system — one that is run over a number of specially provisioned machines — executes queries interactively, returning a synchronous response to applications, with its data made durable and resilient to the failure of machines. There are no existing workstation-based databases. Furthermore, other workstation-based systems do not attempt to achieve the requirements of interactivity and durability, because they are typically used to execute asynchronous batch processing jobs that tolerate data loss — results can be re-computed. These systems use external servers to store the final results of computations rather than workstation machines. This thesis describes the design and implementation of a workstation-based database system and investigates its viability by evaluating its performance against existing clustered database systems and testing its availability during machine failures. ACKNOWLEDGEMENTS I’d like to thank my supervisors, Professor Alan Dearle and Dr Graham Kirby, for the opportunities, the support, and the education that they have given me. -
Providing High Availability for SAP Resources with Oracle Clusterware 11 Release 2
Providing High Availability for SAP Resources with Oracle Clusterware 11 Release 2 An Oracle White Paper September 2011 Document Version 6.0 Providing High Availability for SAP Resources Overview of High Availability for SAP Resources.................................................... 3 New Functionality...................................................................................................... 3 SAP Support for High Availability ............................................................................ 4 Installation and Management ..................................................................................... 7 Overview Of Installation and Configuration.............................................................. 8 Functionality............................................................................................................. 13 Conclusion................................................................................................................ 16 Worked Example...................................................................................................... 17 Appendix 1 – Sample profile scripts........................................................................ 22 Appendix 2 – Troubleshooting and Log Files.......................................................... 24 Appendix 2 - SAPCTL Bill of Materials.................................................................. 25 Appendix 3 – CRS resources and types ................................................................... 25 Appendix 4 – -
Using Oracle Goldengate 12C for Oracle Database
An Oracle White Paper Updated September 2013 Using Oracle GoldenGate 12c for Oracle Database Using Oracle GoldenGate 12c for Oracle Database Executive Overview ........................................................................... 2 Introduction ....................................................................................... 3 Architecture Overview ....................................................................... 4 Oracle GoldenGate Capture .......................................................... 5 Oracle GoldenGate Trail Files ....................................................... 6 Oracle GoldenGate Delivery .......................................................... 7 Oracle GoldenGate Manager ......................................................... 9 Associated Products ...................................................................... 9 One Platform, Many Solutions ......................................................... 11 Zero Downtime Migrations and Upgrades .................................... 12 Query Offloading ......................................................................... 12 Disaster Recovery and Data Protection ....................................... 13 Active-Active Database Replication ............................................. 13 Operational Reporting and Real-Time Data Warehousing ........... 13 Data Distribution and Synchronization for OLTP Systems ........... 14 Oracle GoldenGate for Oracle Database ......................................... 15 Capture (Extract) ........................................................................ -
Providing High Availability for SAP Resources
Providing High Availability for SAP Resources An Oracle White Paper April 2006 Providing High Availability for SAP Resources Overview of High Availability for SAP Resources .......................................3 SAP Support for High Availability..................................................................3 Installation and Management ...........................................................................5 Overview Of Installation and Configuration.................................................6 Functionality.......................................................................................................9 Usage ...............................................................................................................9 Conclusion........................................................................................................ 12 W orked Example............................................................................................. 13 Appendix 1 – Standard SAP Script Modifications..................................... 18 Script: startsap............................................................................................. 18 Script: stopsap............................................................................................. 21 Appendix 2 – Sample profile scripts - ENQUEUE Service (ASC)......... 23 Appendix 3 – Sample profile scripts - REPLICATION Service (ENR)25 Appendix 4 – Troubleshooting and Log Files............................................ 27 Appendix 5 - SAPCTL Bill of Materials..................................................... -
Magic Quadrant for Data Warehouse Database Management Systems
Magic Quadrant for Data Warehouse Database Management Systems Gartner RAS Core Research Note G00209623, Donald Feinberg, Mark A. Beyer, 28 January 2011, RV5A102012012 The data warehouse DBMS market is undergoing a transformation, including many acquisitions, as vendors adapt data warehouses to support the modern business intelligence and analytic workload requirements of users. This document compares 16 vendors to help you find the right one for your needs. WHAT YOU NEED TO KNOW Despite a troubled economic environment, the data warehouse database management system (DBMS) market returned to growth in 2010, with smaller vendors gaining in acceptance. As predicted in the previous iteration of this Magic Quadrant, 2010 brought major acquisitions, and several of the smaller vendors, such as Aster Data, Ingres and Vertica, took major strides by addressing specific market needs. The year also brought major market growth from data warehouse appliance offerings (see Note 1), with both EMC/Greenplum and Microsoft formally introducing appliances, and IBM, Oracle and Teradata broadening their appliance lines with new offerings. Although we believe that much of the growth was due to replacements of aging or performance-constrained data warehouse environments, we also think that the business value of using data warehouses for new applications such as performance management and advanced analytics has driven — and is driving — growth. All the vendors have stepped up their marketing efforts as the competition has grown. End-user organizations should ignore marketing claims about the applicability and performance capabilities of solutions. Instead, they should base their decisions on customer references and proofs of concept (POCs) to ensure that vendors’ claims will hold up in their environments. -
Oracle Database Net Services Reference, 12C Release 1 (12.1) E17611-13
Oracle®[1] Database Net Services Reference 12c Release 1 (12.1) E17611-13 December 2014 Oracle Database Net Services Reference, 12c Release 1 (12.1) E17611-13 Copyright © 2002, 2014, Oracle and/or its affiliates. All rights reserved. Primary Author: Caroline Johnston Contributor: The Oracle Database 12c documentation is dedicated to Mark Townsend, who was an inspiration to all who worked on this release. Contributors: Robert Achacoso, Abhishek Dadhich, Santanu Datta, Steve Ding, Feroz Khan, Peter Knaggs, Bhaskar Mathur, Scot McKinley, Ed Miner, Sweta Mogra, Srinivas Pamu, Kant Patel, Hector Pujol, Murali Purayathu, Karthik Rajan, Saravanakumar Ramasubramanian, Sudeep Reguna, Ching Tai, Norman Woo This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, delivered to U.S. -
Technical Comparison of Oracle Real Application Cluster 11G Vs. IBM
Technical Comparison of Oracle Real Application Clusters 11 g vs. IBM DB2 v9.5 for Linux, Unix, and Windows An Oracle White Paper August 2008 Technical Comparison of Oracle Real Application Cluster 11 g vs. IBM DB2 v9.5 for Linux, Unix, and Windows Introduction ....................................................................................................... 3 Enterprise Grid Computing........................................................................ 3 Enabling Enterprise Grids........................................................................... 4 Enterprise Grid Deployment........................................................................... 5 Shared-Nothing Architecture...................................................................... 5 DB2 Shared-Nothing............................................................................... 5 Shared Disk Architecture............................................................................. 6 Best Choice For Deployment ..................................................................... 7 IBM DB2 Partitioning.................................................................................. 8 Nodegroups............................................................................................... 8 IBM DB2 Design Advisor...................................................................... 9 Scalability and Performance............................................................................. 9 Adding nodes.............................................................................................. -
Oracle Database 10G Vs. IBM DB2 UDB Technical Overview
Oracle Database10g vs IBM DB2 UDB 8.1 Technical Overview An Oracle Competitive White Paper March 2004 Technical Overview of Oracle Database 10g with IBM DB2 UDB V8.1 Introduction....................................................................................................... 3 Grid Computing................................................................................................ 3 Manageability..................................................................................................... 7 Self-Managing Database.............................................................................. 8 Application/SQL Tuning...................................................................... 10 Managing the Enterprise............................................................................ 11 High Availability.............................................................................................. 12 Bounding Database Crash Recovery....................................................... 13 Human Error Recovery............................................................................. 14 Online Maintenance................................................................................... 15 Data Centre Disasters ................................................................................ 15 Data W arehousing and Business Intelligence............................................. 16 Partitioning.................................................................................................. 18 Data Loading and Archiving.................................................................... -
Progress Datadirect for JDBC for Oracle User's Guide
Progress DataDirect for JDBC for Oracle User©s Guide Release 6.0.0 Copyright © 2020 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved. These materials and all Progress® software products are copyrighted and all rights are reserved by Progress Software Corporation. The information in these materials is subject to change without notice, and Progress Software Corporation assumes no responsibility for any errors that may appear therein. The references in these materials to specific platforms supported are subject to change. Corticon, DataDirect (and design), DataDirect Cloud, DataDirect Connect, DataDirect Connect64, DataDirect XML Converters, DataDirect XQuery, DataRPM, Defrag This, Deliver More Than Expected, Icenium, Ipswitch, iMacros, Kendo UI, Kinvey, MessageWay, MOVEit, NativeChat, NativeScript, OpenEdge, Powered by Progress, Progress, Progress Software Developers Network, SequeLink, Sitefinity (and Design), Sitefinity, SpeedScript, Stylus Studio, TeamPulse, Telerik, Telerik (and Design), Test Studio, WebSpeed, WhatsConfigured, WhatsConnected, WhatsUp, and WS_FTP are registered trademarks of Progress Software Corporation or one of its affiliates or subsidiaries in the U.S. and/or other countries. Analytics360, AppServer, BusinessEdge, DataDirect Autonomous REST Connector, DataDirect Spy, SupportLink, DevCraft, Fiddler, iMail, JustAssembly, JustDecompile, JustMock, NativeScript Sidekick, OpenAccess, ProDataSet, Progress Results, Progress Software, ProVision, PSE Pro, SmartBrowser, SmartComponent, -
Implementation of Oracle Real Application Cluster
REVIEW OF COMPUTER ENGINEERING A publication of IIETA STUDIES ISSN: 2369-0755 (Print), 2369-0763 (Online) Vol. 3, No. 4, December 2016, pp. 81-85 DOI: 10.18280/rces.030401 Licensed under CC BY-NC 4.0 http://www.iieta.org/Journals/RCES Implementation of Oracle Real Application Cluster Hayat Z.1*, Soomro T.R.2 *1 Ankabut IT, Khalifa University of Science & Technology, UAE 2 Department of Computer Science, SZABIST Dubai Campus, UAE Email: [email protected] ABSTRACT Oracle Real Application Cluster (RAC) is Oracle technology component that can be active on multiple servers to serve as Oracle database server unique. Each server has separate own database instance and these all act as instance of single database for the external network access on the unique virtual IP address. The architecture of the RAC is provides fault tolerance and a great power of treatment. Oracle RAC provides several features in any database operation of the enterprise level for example the scalability, availability, load balancing and failover. The purpose of this study is to serve as a quick reference guide to the installation of management and operation of the Oracle Cluster-ware Real Application Cluster (RAC) database. This feature is initially targeted for the technical staff mainly for DBA Admins of the system. Keywords: RAC, Shared Storage, SAN, Cluster-ware, Oracle ASM, Oracle Kernel. 1. INTRODUCTION systems in the cloud and enterprise software products. Oracle is the world's leading supplier of software for information Cluster database instances are common challenging for management, but is best known for its refined products for each vendor application is presenting its own architecture relational databases.