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Delivering Oracle Compatibility
DELIVERING ORACLE COMPATIBILITY A White Paper by EnterpriseDB www.EnterpriseDB.com TABLE OF CONTENTS Executive Summary 4 Introducing EnterpriseDB Advanced Server 6 SQL Compatibility 6 PL/SQL Compatibility 9 Data Dictionary Views 11 Programming Flexibility and Drivers 12 Transfer Tools 12 Database Replication 13 Enterprise-Class Reliability and Scalability 13 Oracle-Like Tools 14 Conclusion 15 Downloading EnterpriseDB 15 EnterpriseDB EXECUTIVE SUMMARY Enterprises running Oracle® are generally interested in alternative databases for at least three reasons. First, these enterprises are experiencing budget constraints and need to lower their database Total Cost of Ownership (TCO). Second, they are trying to gain greater licensing flexibility to become more agile within the company and in the larger market. Finally, they are actively pursuing vendors who will provide superior technical support and a richer customer experience. And, subsequently, enterprises are looking for a solution that will complement their existing infrastructure and skills. The traditional database vendors have been unable to provide the combination of all three benefits. While Microsoft SQL ServerTM and IBM DB2TM may provide the flexibility and rich customer experience, they cannot significantly reduce TCO. Open source databases, on the other hand, can provide the TCO benefits and the flexibility. However, these open source databases either lack the enterprise-class features that today’s mission critical applications require or they are not equipped to provide the enterprise-class support required by these organizations. Finally, none of the databases mentioned above provide the database compatibility and interoperability that complements their existing applications and staff. The fear of the costs of changing databases, including costs related to application re-coding and personnel re-training, outweigh the expected savings and, therefore, these enterprises remain paralyzed and locked into Oracle. -
Sql Server to Aurora Postgresql Migration Playbook
Microsoft SQL Server To Amazon Aurora with Post- greSQL Compatibility Migration Playbook 1.0 Preliminary September 2018 © 2018 Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document is provided for informational purposes only. It represents AWS’s current product offer- ings and practices as of the date of issue of this document, which are subject to change without notice. Customers are responsible for making their own independent assessment of the information in this document and any use of AWS’s products or services, each of which is provided “as is” without war- ranty of any kind, whether express or implied. This document does not create any warranties, rep- resentations, contractual commitments, conditions or assurances from AWS, its affiliates, suppliers or licensors. The responsibilities and liabilities of AWS to its customers are controlled by AWS agree- ments, and this document is not part of, nor does it modify, any agreement between AWS and its cus- tomers. - 2 - Table of Contents Introduction 9 Tables of Feature Compatibility 12 AWS Schema and Data Migration Tools 20 AWS Schema Conversion Tool (SCT) 21 Overview 21 Migrating a Database 21 SCT Action Code Index 31 Creating Tables 32 Data Types 32 Collations 33 PIVOT and UNPIVOT 33 TOP and FETCH 34 Cursors 34 Flow Control 35 Transaction Isolation 35 Stored Procedures 36 Triggers 36 MERGE 37 Query hints and plan guides 37 Full Text Search 38 Indexes 38 Partitioning 39 Backup 40 SQL Server Mail 40 SQL Server Agent 41 Service Broker 41 XML 42 Constraints -
Modèle Bull 2009 Blanc Fr
CNAF PostgreSQL project Philippe BEAUDOIN, Project leader [email protected] 2010, Dec 7 CNAF - Caisse Nationale des Allocations Familiales - Key organization of the French social security system - Distributes benefits to help - Families - Poor people - 123 CAF (local organizations) all over France - 11 million families and 30 million people - 69 billion € in benefits distributed (2008) 2 ©Bull, 2010 CNAF PostgreSQL project The project … in a few clicks GCOS 8 GCOS 8 CRISTAL SDP CRISTAL SDP (Cobol) (Cobol) (Cobol) (Cobol) DBSP RFM-II RHEL-LINUX PostgreSQL Bull - NovaScale 9000 servers (mainframes) 3 ©Bull, 2010 CNAF PostgreSQL project DBSP GCOS 8 CRISTAL SDP (Cobol) (Cobol) InfiniBand link LINUX S.C. S.C. (c+SQL) (c+SQL) PostgreSQL S.C. = Surrogate Client 4 ©Bull, 2010 CNAF PostgreSQL project CNAF I.S. - CRISTAL + SDP : heart of the Information System - Same application running on Bull (GCOS 8) and IBM (z/OS+DB2) mainframes - Also J2E servers, under AIX, … and a lot of peripheral applications - 6 to 8 CRISTAL versions per year ! 5 ©Bull, 2010 CNAF PostgreSQL project Migration to PostgreSQL project plan - A lot of teams all over France (developers, testers, production,...) - 3 domains - CRISTAL application, SDP application - Infrastructure and production - National project leading CRISTAL Developmt Tests 1 CAF C. Deployment C. PRODUCTION Preparation 1 Depl S SDP Develpmt Tests 9/08 1/09 5/09 9/09 12/09 3/10 6 ©Bull, 2010 CNAF PostgreSQL project How BULL participated to the project - Assistance to project leading - Technical expertise -
Sqlserver 2005, 2008, 2012
Installation and Startup Guide Edition March 2020 Copyright © Atos IT Solutions and Services GmbH 2020 Microsoft, MS, MS-DOS and Windows are trademarks of Microsoft Corporation. The reproduction, transmission, translation or exploitation of this document or its content is not permitted without express written authority. Offenders will be liable for damages. All rights reserved, including rights created by patent grant or registration of a utility model or design. Right of technical modification reserved. Installation Guide TEMPPO V6.3 Edition March 2020 Contents Contents 1 Introduction ....................................................................................... 1 2 Installation ........................................................................................ 2 3 Startup & first steps ......................................................................... 27 4 Appendix .......................................................................................... 30 Installation Guide TEMPPO V6.3 Edition March 2020 Introduction 1 Introduction This manual describes the installation of TEMPPO (Test Execution, Management, Planning and rePorting Organizer) Version 6.3 as client. Managing the test process involves a large number of engineering disciplines like project management, risk management, high and low level design, development and metrics collection. In former times testers managed their tests and test management with Word table or Excel sheets which had the main disadvantages that tests were not organized, couldn’t be -
Parallel and Append Hint in Insert Statement
Parallel And Append Hint In Insert Statement Sunrise Gay subjoins his viridescence focalise pryingly. Is Odysseus preconscious when Marlin precool signally? Ocean-going Cole ensanguining unworthily. Insert statement with array inserts, then create an access method that parallel and hint in insert statement We can see which each source i was inserted into excel table only. Parallel statements that appends will append hint will propose an answer for a different sessions can. The table specified in tablespec is the probe table of the hash join. Oracle hint was an error logging table or merge statement itself is not possible. Before you can execute DML statements in parallel, you must display the parallel DML feature. The insert or insert and parallel hint in append hint is that page helpful in. Instructs the optimizer selectivity and parallel insert on the source records mark or azure storage requirements. Oracle choose among different options or may be i missed to understand. You do part of these large, update as cpus is genetated for pointing this hint and parallel in insert statement, the index partition, consider adding an error message is that your help us the. Doing all modifications to statement and parallel hint in append insert statement are too large database table were responsible for the plans and for the definition query? When a mortgage is overloaded and all input DOP is larger than the default DOP, the algorithm uses the default degree of input. Instructs the optimizer to use but full outer court, which prohibit a native execution method based on a hash join. -
Migration to Postgresql - Preparation and Methodology
Overview Oracle to PostgreSQL Informix to PostgreSQL MySQL to PostgreSQL MSSQL to PostgreSQL Replication and/or High Availability Discussion Migration to PostgreSQL - preparation and methodology Joe Conway, Michael Meskes credativ Group September 14, 2011 Joe Conway, Michael Meskes Postgres Open 2011 Overview Oracle to PostgreSQL Presenters Informix to PostgreSQL Intro MySQL to PostgreSQL Preparation MSSQL to PostgreSQL Conversion Replication and/or High Availability Discussion Joe Conway - Open Source PostgreSQL (and Linux) user since 1999 Community member since 2000 Contributor since 2001 Commiter since 2003 PostgreSQL Features PL/R Set-returning (a.k.a. table) functions feature Improved bytea and array datatypes, index support Polymorphic argument types Multi-row VALUES list capability Original privilege introspection functions pg settings VIEW and related functions dblink, connectby(), crosstab()), generate series() Joe Conway, Michael Meskes Postgres Open 2011 Overview Oracle to PostgreSQL Presenters Informix to PostgreSQL Intro MySQL to PostgreSQL Preparation MSSQL to PostgreSQL Conversion Replication and/or High Availability Discussion Joe Conway - Business Currently President/CEO of credativ USA Previously IT Director of large company Wide variety of experience, closed and open source Full profile: http://www.linkedin.com/in/josepheconway Joe Conway, Michael Meskes Postgres Open 2011 Overview Oracle to PostgreSQL Presenters Informix to PostgreSQL Intro MySQL to PostgreSQL Preparation MSSQL to PostgreSQL Conversion Replication and/or -
Postgresql Programmer's Guide
PostgreSQL Programmer’s Guide The PostgreSQL Development Team Edited by Thomas Lockhart PostgreSQL Programmer’s Guide by The PostgreSQL Development Team Edited by Thomas Lockhart PostgreSQL is Copyright © 1996-9 by the Postgres Global Development Group. Table of Contents Summary......................................................................................................................................i 1. Introduction ............................................................................................................................1 Resources............................................................................................................................1 Terminology........................................................................................................................2 Notation ..............................................................................................................................3 Y2K Statement....................................................................................................................3 Copyrights and Trademarks................................................................................................4 2. Architecture ............................................................................................................................5 Postgres Architectural Concepts .........................................................................................5 3. Extending SQL: An Overview...............................................................................................7 -
Pivotal™ Greenplum Database® Version 4.3
PRODUCT DOCUMENTATION Pivotal™ Greenplum Database® Version 4.3 Reference Guide Rev: A10 © 2015 Pivotal Software, Inc. Copyright Reference Guide Notice Copyright Copyright © 2015 Pivotal Software, Inc. All rights reserved. Pivotal Software, Inc. believes the information in this publication is accurate as of its publication date. The information is subject to change without notice. THE INFORMATION IN THIS PUBLICATION IS PROVIDED "AS IS." PIVOTAL SOFTWARE, INC. ("Pivotal") MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND WITH RESPECT TO THE INFORMATION IN THIS PUBLICATION, AND SPECIFICALLY DISCLAIMS IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Use, copying, and distribution of any Pivotal software described in this publication requires an applicable software license. All trademarks used herein are the property of Pivotal or their respective owners. Revised July 2015 (4.3.5.3) 2 Contents Reference Guide Contents Chapter 1: Preface.....................................................................................10 About This Guide.............................................................................................................................. 11 About the Greenplum Database Documentation Set........................................................................12 Document Conventions..................................................................................................................... 13 Command Syntax Conventions............................................................................................. -
Installation and Setup Guide for Client
FUJITSU Enterprise Postgres 10 Installation and Setup Guide for Client Windows/Linux J2UL-2378-01ENZ0(00) August 2018 Preface Purpose of this document This document describes how to install and set up the "FUJITSU Enterprise Postgres client feature". Intended readers This document is intended for those who install and operate FUJITSU Enterprise Postgres. Readers of this document are assumed to have general knowledge of: - PostgreSQL - SQL - Windows - PostgreSQL - SQL - Linux Structure of this document This document is structured as follows: Chapter 1 Overview of Installation Describes the features that can be installed, and provides an overview of installation methods Chapter 2 Installation and Uninstallation of the Windows Client Describes how to install the FUJITSU Enterprise Postgres client feature (Windows client) Chapter 3 Installation and Uninstallation of the Linux Client Describes how to install the FUJITSU Enterprise Postgres client feature (Linux client) Chapter 4 Setup Describes the setup procedures to be performed after installation completes Export restrictions Exportation/release of this document may require necessary procedures in accordance with the regulations of your resident country and/or US export control laws. Issue date and version Edition 1.0: August 2018 Copyright Copyright 2015-2018 FUJITSU LIMITED - i - Contents Chapter 1 Overview of Installation............................................................................................................................................1 1.1 Features that can be -
The Use of Hints in Object-Relational Query Optimization
Comput Syst Sci & Eng (2004) 6: 337–345 International Journal of © 2004 CRL Publishing Ltd Computer Systems Science & Engineering The use of hints in object-relational query optimization David Taniar*, Hui Yee Khaw*. Haorianto Cokrowijoyo Tijoe* and Johanna Wenny Rahayu† *School of Business Systems, Monash University, Clayton, Victoria 3800, Australia. Email: {David.Taniar,Haorianto.Tjioe}@infotech.monash.edu.au †Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Victoria 3803, Australia Email: [email protected] Object-Relational queries are queries which can handle data objects feature on the existing relational data environment. REF is one of most impor- tant data structures in Object-Relational Databases can be explained as a logical pointer to define the link between two tables which similar func- tion to pointers in object oriented programming language. There are three ways of writing REF join queries which are: REF Join, Path Expression Join and DEREF/VALUE Join. In this paper, we study optimization technique for Object-Relational queries using hints. Hints are additional comments which are inserted into an SQL statement for the purpose of instructing or suggesting the optimizer to perform the specified operations. We utilize various hints including Optimizer hints, Table join and anti-join hints, and Access method hints. We analyse performance of various object-relation- al queries particularly in three ways of writing REF queries using the TRACE and TKPROF utilities which provide query execution statistics and exe- cution plans. Keywords: object-relational query optimization, ORBMS, REF 1. INTRODUCTION pointer to define the link between two tables (Taniar, Rahayu and Srivastava, 2003). -
Mysql 5.7: Performance Improvements in Optimizer
MySQL 5.7: Performance Improvements in Optimizer Olav Sandstå Senior Principal Engineer MySQL Optimizer Team, Oracle April 25, 2016 Copyright © 2016, Oracle and/or its affiliates. All rights reserved. Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. 2 Program Agenda 1 Improvements in optimizer • Cost model • New optimizations 2 Understanding query performance • Explain extensions • Optimizer trace 3 Tools for improving query plans • New hints • Query rewrite plugin Copyright © 2016, Oracle and/or its affiliates. All rights reserved. 3 MySQL Optimizer MySQL Server SELECT a, b Cost based JOIN FROM t1 optimizations JOIN t2 Table JOIN ON t1.a = t2.b Cost Model scan JOIN t3 Range Ref t1 ON t2.b = t3.c Parser scan access Optimizer Heuristics WHERE t2.d > 20 AND t2.d < 30; t2 t3 Table/index info Statistics (data dictionary) (storage engines) Copyright © 2016, Oracle and/or its affiliates. All rights reserved. 4 Optimizer Performance Improvements in MySQL 5.7 Cost model improvements: New optimizations: • Cost model for WHERE conditions • Merging of derived tables (condition filtering effect) • Optimization of IN queries – Improved JOIN order • Union ALL optimization • Improved index statistics – Better index selection, better join order • Configurable “cost constants” Copyright © 2016, Oracle and/or its affiliates. -
Workbench-En.Pdf
MySQL Workbench Abstract This is the MySQL Workbench Reference Manual. It documents the MySQL Workbench Community and MySQL Workbench Commercial releases for versions 8.0 through 8.0.26. If you have not yet installed the MySQL Workbench Community release, please download your free copy from the download site. The MySQL Workbench Community release is available for Microsoft Windows, macOS, and Linux. MySQL Workbench platform support evolves over time. For the latest platform support information, see https:// www.mysql.com/support/supportedplatforms/workbench.html. For notes detailing the changes in each release, see the MySQL Workbench Release Notes. For legal information, including licensing information, see the Preface and Legal Notices. For help with using MySQL, please visit the MySQL Forums, where you can discuss your issues with other MySQL users. Document generated on: 2021-10-01 (revision: 70942) Table of Contents Preface and Legal Notices ................................................................................................................ vii 1 General Information ......................................................................................................................... 1 1.1 What Is New in MySQL Workbench ...................................................................................... 1 1.1.1 New in MySQL Workbench 8.0 Release Series ........................................................... 1 1.1.2 New in MySQL Workbench 6.0 Release Series ..........................................................