Updating the Database on a Ms Sql Server Version 13.0.1.1 and Higher

Total Page:16

File Type:pdf, Size:1020Kb

Updating the Database on a Ms Sql Server Version 13.0.1.1 and Higher UPDATING THE DATABASE ON A MS SQL SERVER VERSION 13.0.1.1 AND HIGHER CONTENTS 1 Preface & Motivation .................................................................................................... 3 2 Targets .......................................................................................................................... 4 3 Approach ...................................................................................................................... 5 3.1 Update strategy .............................................................................................................. 5 3.1.1 About Unicode in version 12 ....................................................................................... 5 4 Flow chart of a database update ................................................................................. 6 4.1 Extended approach for text/configuration/licence database ........................................... 6 5 Detailed instructions .................................................................................................... 7 5.1 Generating a script to update the values database to Unicode ....................................... 7 5.2 Switching the database to be updated to Unicode .......................................................... 9 5.3 Databases based on the “full” recovery model ............................................................... 9 5.4 Generating script(s) to update the structure of all databases ....................................... 10 5.5 Updating the structure of the database to be updated .................................................. 11 5.6 Updating the contents of the configuration and text database ...................................... 12 6 Known Issues ............................................................................................................. 17 QDas-654 v-0.2 1 2/17 1 PREFACE & MOTIVATION Q-DAS software is provided with Access databases by default; these are simple “database files” that, however, only apply to a limited scope since their technology is restricted. There are three (four since version 12) different databases serving various purposes (to put it simple). • Configuration database QDAS_CONFIG contains all settings of the Q-DAS system • Text database QDAS_TEXT contains all texts in all languages of the Q-DAS system • Values database QDAS_DATA contains all measured values and additional data • Since version 12: licence database QDAS_LIC contains any licence information In addition, we provide the QDAS_MONI and QDAS_CMM databases by default; however, they are basically nothing but values databases for specific applications. Especially the contents of the QDAS_DATA values database are sometime subject to frequent changes and/or grow quickly exhausting the restricted possibilities of Access databases in the short or medium term. This is the reason why many users of Q-DAS software switch to a values database on a MS SQL Server (or MS SQL Express) or Oracle database server1. This manual is to help Q-DAS users with Q-DAS databases on MS SQL Server or MS SQL Express and who want to update them to Q-DAS version 13.0.1.1 and higher. Note: For a better readability, we only refer to MS SQL Server in the following chapters. The same facts always apply to MS SQL Express. 1 In addition to Access, Q-DAS supports the database interfaces MS SQL Server (or MS SQL Express) and Oracle. QDas-654 v-0.2 1 3/17 2 TARGETS This manual describes the general approach to updating Q-DAS databases (of any version) to version 13 and higher. This manual only refers to databases running on an MS SQL server. It does not apply to Oracle database technologies. However, the approach is basically the same. A successful update requires that a Q-DAS product of version 13.0.1.1 or higher is already installed and that this product includes the respective function. In addition, you have to ensure that the Q-DAS product is able to communicate with the database server. A new system requirement Q-DAS software since version 12 needs to communicate with MS SQL databases, is the MS SQL Server Native Client. It is included in the setup of Q-DAS software and has to be installed on all computers having a server or client installation of Q-DAS software that shall connect to the SQL server. The Native Client not being installed is the reason for many problems in the connection between Q-DAS software and the SQL DB server. QDas-654 v-0.2 1 4/17 3 APPROACH This chapter gives a brief overview of the update strategy in order that you get an impression of the steps you have to take. 3.1 Update strategy Since version 13, Q-DAS software offers the ”Static DB“ tool that is compiled for each new version and knows the structure and design of the databases and their default contents. The “Static DB“ tool compares the structure of the databases to the static model. It will identify any differences between this model and the database to be updated if they are based on different versions. The “Static DB“ will include some more tables and/or columns and/or indices than the database to be updated since it is always based on the latest version. After completing the comparison, you may use the result (the differences) to generate a SQL script conducting the structural update. This script applies to the database to be updated and adds the missing tables/columns/indices respectively. The update has been successful in case the structures of both databases are the same. You may now start to update the contents (of the configuration databases and the text database). 3.1.1 About Unicode in version 12 Any existing productive Q-DAS values database < version 12 may be capable of Unicode or not. The reason is that SQL scripts for the creation of values databases applied to generate reference databases for updates were provided for databases capable of Unicode as well as for databases not capable of Unicode in all versions older than version 12. These scripts also served their original purpose in the past, of course, and helped you create one or several values databases on a MS SQL server. In the long run, however, we want to supply nothing but uniform values databases capable of Unicode. The first step we take is to provide creation scripts for databases capable of Unicode only starting with version 12. We strongly recommend you use the update to switch to a values database capable of Unicode. The detailed instructions given in the following also shows you how to do it. From a technical perspective, you may still apply a values database that is not capable of Unicode; however, this is not recommended and we do not offer any associated support. An update to Unicode must always be based on the values database. Text/configuration/licence databases are excluded. QDas-654 v-0.2 1 5/17 4 FLOW CHART OF A DATABASE UPDATE The following flow chart shows you how to update one values database. You have to repeat all these steps for each values database you want to update. Start Create backup of existing values database Use “Static DB“ to generate Unicode script Switch DB to Unicode by using the script Use “Static DB“ to generate update script Update DB structure Apply update script to this very DB 4.1 Extended approach for text/configuration/licence database You have to use the DB-Update tool subsequently to update the contents of any other database type. QDas-654 v-0.2 1 6/17 5 DETAILED INSTRUCTIONS 5.1 Generating a script to update the values database to Unicode Start the Tools Launcher. It offers the link to the Static DB tool. In case you want to start the update later, even though a new version already exists, you may even select a later version of the Static DB tool in the Tools Launcher in order that the tool matches the applied program version. Select the “Data” database type. Click the “Create Unicode Script“ button to open the “DB-Connection” dialogue box. Use it to select the DB- TYP MSSQL, the database server and the database. In case of MSSQL databases, you use the “Test Connection“ button to check the connection. QDas-654 v-0.2 1 7/17 The “Encryption“ is negligible since the system does not save the DB connection but only applies it temporarily. Click on “OK” in the “DB-connection” dialogue box and the system asks you to select a storage location for the update script. QDas-654 v-0.2 1 8/17 5.2 Switching the database to be updated to Unicode Use this script in Microsoft SQL Server Management Studio to update the database to Unicode. 5.3 Databases based on the “full” recovery model You may skip this chapter if • the database is not based on the “full” recovery model. • you have already generated and executed a script to update the database to Unicode and the script has been executed completely at once. When you update a database based on the “full” recovery model to Unicode, the size of the transaction log increases considerably. In case the size of the transaction log is limited, you might reach the upper limit, especially when you update “huge” databases2. The same applies to the hard disk partition. In case you reach the upper limit of the log file or the hard disk partition, the SQL server stops the “update to Unicode” script and rolls back the translation of the last field or the last field that has not been translated completely. You may continue the update where it stopped; however, there is even an option to ensure that the update does not stop at all. The following sections describe three different strategies of how to deal with the “full” recovery model. • Standard strategy: The same approach as described in chapter 5.3. Apply it to update a “small” database (usually up to 20 GB without any problems). • Alternative strategy: Use it to ensure that the script does not stop. Set the recovery model of the database to “simple” before you execute the script. 2 Strictly speaking, we cannot clearly distinguish between small and huge databases. Of course, it always depends on the ratio between the database size and the log/partition size whether the script is executed completely or not. To put it simple, we give specific sizes in this chapter all the same. The aim of this chapter, however, is to create a general understanding of this issue and to provide solutions in the situation described above.
Recommended publications
  • Oracle Nosql Database
    An Oracle White Paper November 2012 Oracle NoSQL Database Oracle NoSQL Database Table of Contents Introduction ........................................................................................ 2 Technical Overview ............................................................................ 4 Data Model ..................................................................................... 4 API ................................................................................................. 5 Create, Remove, Update, and Delete..................................................... 5 Iteration ................................................................................................... 6 Bulk Operation API ................................................................................. 7 Administration .................................................................................... 7 Architecture ........................................................................................ 8 Implementation ................................................................................... 9 Storage Nodes ............................................................................... 9 Client Driver ................................................................................. 10 Performance ..................................................................................... 11 Conclusion ....................................................................................... 12 1 Oracle NoSQL Database Introduction NoSQL databases
    [Show full text]
  • Oracle Database Vault Overview
    Oracle Database Vault Oracle Database Vault provides controls to prevent unauthorized privileged users from accessing sensitive data, prevent unauthorized database changes, and helps customers meet industry, regulatory, or corporate security standards. March 23, 2020 Copyright © 2020, Oracle and/or its affiliates Public Purpose Statement This document provides an overview of features and enhancements included in the latest releases of Oracle Database Vault. It is intended solely to help you assess the business benefits of using Oracle Database Vault preventive controls and to plan your Data Security / I.T. projects. Disclaimer This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. Your access to and use of this confidential material is subject to the terms and conditions of your Oracle software license and service agreement, which has been executed and with which you agree to comply. This document is not part of your license agreement nor can it be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. This document is for informational purposes only and is intended solely to assist you in planning for the implementation and upgrade of the product features described. 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 in this document remains at the sole discretion of
    [Show full text]
  • Oracle Big Data SQL Release 4.1
    ORACLE DATA SHEET Oracle Big Data SQL Release 4.1 The unprecedented explosion in data that can be made useful to enterprises – from the Internet of Things, to the social streams of global customer bases – has created a tremendous opportunity for businesses. However, with the enormous possibilities of Big Data, there can also be enormous complexity. Integrating Big Data systems to leverage these vast new data resources with existing information estates can be challenging. Valuable data may be stored in a system separate from where the majority of business-critical operations take place. Moreover, accessing this data may require significant investment in re-developing code for analysis and reporting - delaying access to data as well as reducing the ultimate value of the data to the business. Oracle Big Data SQL enables organizations to immediately analyze data across Apache Hadoop, Apache Kafka, NoSQL, object stores and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. KEY FEATURES Rich SQL Processing on All Data • Seamlessly query data across Oracle Oracle Big Data SQL is a data virtualization innovation from Oracle. It is a new Database, Hadoop, object stores, architecture and solution for SQL and other data APIs (such as REST and Node.js) on Kafka and NoSQL sources disparate data sets, seamlessly integrating data in Apache Hadoop, Apache Kafka, • Runs all Oracle SQL queries without modification – preserving application object stores and a number of NoSQL databases with data stored in Oracle Database.
    [Show full text]
  • Oracle Database Advanced Application Developer's Guide, 11G Release 2 (11.2) E17125-03
    Oracle® Database Advanced Application Developer's Guide 11g Release 2 (11.2) E17125-03 August 2010 Oracle Database Advanced Application Developer's Guide, 11g Release 2 (11.2) E17125-03 Copyright © 1996, 2010, Oracle and/or its affiliates. All rights reserved. Primary Author: Sheila Moore Contributing Authors: D. Adams, L. Ashdown, M. Cowan, J. Melnick, R. Moran, E. Paapanen, J. Russell, R. Strohm, R. Ward Contributors: D. Alpern, G. Arora, C. Barclay, D. Bronnikov, T. Chang, L. Chen, B. Cheng, M. Davidson, R. Day, R. Decker, G. Doherty, D. Elson, A. Ganesh, M. Hartstein, Y. Hu, J. Huang, C. Iyer, N. Jain, R. Jenkins Jr., S. Kotsovolos, V. Krishnaswamy, S. Kumar, C. Lei, B. Llewellyn, D. Lorentz, V. Moore, K. Muthukkaruppan, V. Moore, J. Muller, R. Murthy, R. Pang, B. Sinha, S. Vemuri, W. Wang, D. Wong, A. Yalamanchi, Q. Yu 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 software or related documentation is delivered to the U.S.
    [Show full text]
  • Oracle Database Sharding Infographic
    Oracle Database Sharding Oracle Sharding : Scale-out Rela7onal Database Sharding = Distributed Par77oning + Replica7on One giant database par66oned into many small databases (shards) Built on shared-nothing hardware architecture • Some web-scale OLTP applicaons use database sharding to avoid • Horizontal par66oning of data using a sharding key (e.g. scalability or availability edge cases of a single large database customer_id) across a farm of independent Oracle Databases • Oracle 12cR2 is the first full-featured RDBMS that provides nave • Shards can be hosted on commodity servers or engineered systems database sharding while suppor6ng enterprise capabili6es • Data automacally replicated with Data Guard or Oracle GoldenGate for high availability and disaster recovery Benefits Linear Scalability Fault Isola7on Geographic Distribuon Flexible Deployment 12,000,000 CPU CA On-Premises Hybrid Cloud 10,000,000 CA CA 8,000,000 … TPS 6,000,000 CA Vector Register 4,000,000 … 2,000,000 0 50 100 150 200 # of Shards Add shards online to Shared-nothing Data Sovereignty - for Flexible On-Premises, Cloud or Hybrid linearly scale - architecture. data privacy regulaons. Deployments. transac6ons, users and Fault of one shard Data Proximity - to bring Supports Cloud bursng database capacity has no impact on data closer to the users other shards Salient Features • Auto deployment of up to 1000 shards • Direct Rou6ng – Supports Data Guard and Oracle GoldenGate – Direct fast path SQL access via sharding key from smart topology- • Mul6ple sharding methods aware
    [Show full text]
  • Oracle Nosql Database EE Data Sheet
    Oracle NoSQL Database 21.1 Enterprise Edition (EE) Oracle NoSQL Database is a multi-model, multi-region, multi-cloud, active-active KEY BUSINESS BENEFITS database, designed to provide a highly-available, scalable, performant, flexible, High throughput and reliable data management solution to meet today’s most demanding Bounded latency workloads. It can be deployed in on-premise data centers and cloud. It is well- Linear scalability suited for high volume and velocity workloads, like Internet of Things, 360- High availability degree customer view, online contextual advertising, fraud detection, mobile Fast and easy deployment application, user personalization, and online gaming. Developers can use a single Smart topology management application interface to quickly build applications that run in on-premise and Online elastic configuration cloud environments. Multi-region data replication Enterprise grade software Applications send network requests against an Oracle NoSQL data store to and support perform database operations. With multi-region tables, data can be globally distributed and automatically replicated in real-time across different regions. Data can be modeled as fixed-schema tables, documents, key-value pairs, and large objects. Different data models interoperate with each other through a single programming interface. Oracle NoSQL Database is a sharded, shared-nothing system which distributes data uniformly across multiple shards in a NoSQL database cluster, based on the hashed value of the primary keys. An Oracle NoSQL Database data store is a collection of storage nodes, each of which hosts one or more replication nodes. Data is automatically populated across these replication nodes by internal replication mechanisms to ensure high availability and rapid failover in the event of a storage node failure.
    [Show full text]
  • IBM Tivoli Monitoring for Databases Manage the Performance and Availability of Your DB2, Informix and Oracle Database Servers
    IBM Tivoli Monitoring for Databases Manage the performance and availability of your DB2, Informix and Oracle database servers In today’s fast-moving world, the performance and availability of your Autonomic Computing e-business infrastructure can mean the difference between success and failure. Losing availability of a business-critical database server, or perform- I Built-in best practices ance degradation in your database environment, can result in significant encapsulate system financial loss, as well as longer-term damage to your brand. With the increase administration expertise in enterprise strategic applications and e-business systems, not only has the for managing your number of database resources increased but they are also spread across many critical database locations. Thus the task of managing multiple types of database servers has components become increasingly complex for the IT professional. I Automated cures IBM® Tivoli® Monitoring for Databases can help increase the availability of for many common your database resources and take actions to avert or alert you to potential database problems problems with the performance of those resources. Tivoli Monitoring for Databases can help you: • Monitor the status of IBM DB2®, IBM Informix® and Oracle database servers—Provides realtime status on the availability and performance of database servers through best-practices monitoring of key database components. • Notify administrators and take automated actions—Out-of-the-box identification of common database server problems notifies adminis- trators of potential issues and automates actions to help implement fixes before problems affect end users. • Go beyond monitoring—Collects monitoring data for use in historical reporting, performance analysis, trend prediction and enterprisewide business impact analysis.
    [Show full text]
  • Oracle Database Application Developer's Guide
    Oracle®[1] Database Object-Relational Developer's Guide 12c Release 1 (12.1) E53277-02 August 2014 Oracle Database Object-Relational Developer's Guide 12c Release 1 (12.1) E53277-02 Copyright © 1996, 2014, Oracle and/or its affiliates. All rights reserved. Primary Author: Janis Greenberg Contributors: Sundeep Abraham, Shashaanka Agrawal, Geeta Arora, Eric Belden, Chandrasekharan Iyer, Geoff Lee, Anand Manikutty, Valarie Moore, Magdi Morsi, Helen Yeh, Adiel Yoaz, Qin Yu 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, 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. Government end users are "commercial computer software" pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As such, use, duplication, disclosure, modification, and adaptation of the programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, shall be subject to license terms and license restrictions applicable to the programs.
    [Show full text]
  • Veritas Netbackup ™ 8.0 - 8.X.X Database and Application Agent Compatibility List Created on September 08, 2021
    Veritas NetBackup ™ 8.0 - 8.x.x Database and Application Agent Compatibility List Created on September 08, 2021 Click here for the HTML version of this document. <https://download.veritas.com/resources/content/live/OSVC/100046000/100046611/en_US/nbu_80_db_scl.html> Copyright © 2021 Veritas Technologies Corporation. All rights reserved. Veritas, the Veritas Logo, and NetBackup are trademarks or registered trademarks of Veritas Technologies Corporation in the U.S. and other countries. Other names may be trademarks of their respective owners. Veritas NetBackup ™ 8.0 - 8.x.x Database and Application Agent Compatibility List 2021-09-08 Introduction This Software Compatibility List (SCL) document describes the supported database and application agents for Veritas NetBackup 8.0 through 8.x For all other NetBackup compatibility lists, refer to <http://www.veritas.com/docs/000033647> IPV6 and Dual Stack environments are supported from NetBackup 8.1.1 onwards with few limitations, refer technote for additional information <http://www.veritas.com/docs/100041420> Database and application patch support: Major versions of database software have been qualified in Veritas Labs and are listed in the tables below. NetBackup supports minor versions, service packs, and patches of database software unless otherwise noted, with the exception of Microsoft Exchange, Microsoft SharePoint and Microsoft SQL Server. Linux support: For Linux distributions shown in the tables below, NetBackup is supported on all "editions" and on all vendor GA updates (n.1, n.2, etc.) or service packs (SP1, SP2, etc.) unless otherwise noted in this document or in the NetBackup OS Compatibility List, <http://www.veritas.com/docs/100032808> Database Appliances: 3rd party database hardware appliances are supported if the appliance OS/architecture and database software are listed in the Veritas NetBackup OS compatibility list <http://www.veritas.com/docs/100032808> and in the Database and Application Agent compatibility list (this document).
    [Show full text]
  • Oracle, IBM DB2, and SQL RDBMS’
    Enterprise Architecture Technical Brief Oracle, IBM DB2, and SQL RDBMS’ Robert Kowalke November 2017 Enterprise Architecture Oracle, IBM DB2, and SQL RDBMS Contents Database Recommendation ............................................................................................................. 3 Relational Database Management Systems (RDBMS) ................................................................... 5 Oracle v12c-r2 ............................................................................................................................ 5 IBM DB2 for Linux, Unix, Windows (LUW) ............................................................................ 6 Microsoft SQL Server (Database Engine) v2017 ...................................................................... 7 Additional Background Information ............................................................................................... 9 VITA Reference Information (To be removed) ......................... Error! Bookmark not defined. Page 2 of 15 [email protected] Enterprise Architecture Oracle, IBM DB2, and SQL RDBMS Database Recommendation Oracle, SQL Server, and DB2 are powerful RDBMS options. There are a number of differences in how they work “under the hood,” and in various situations, one may be more favorable than the other. 1 There is no easy answer, nor is there a silver-bullet for choosing one of these three (3) databases for your specific business requirements. Oracle is a very popular choice with the Fortune 100 list of companies and
    [Show full text]
  • A Survey: Security Perspectives of ORACLE and IBM-DB2 Databases
    International Journal of Scientific and Research Publications, Volume 3, Issue 1, January 2013 1 ISSN 2250-3153 A Survey: Security Perspectives of ORACLE and IBM- DB2 Databases Lavanya Pamulaparty*, T. Praveen Kumar**, P. Vijaya Babu Varma** * Associate Professor and Head of CSE, Methodist College of Engineering. & Technology. ** Assistant Professor, Dept. of CSE, Methodist College of Engineering. & Technology. *** Assistant Professor, Dept. of CSE, Methodist College of Engineering & Technology. Abstract- As storage of data plays an integral part of databases, independent assurance of the security built into DB2. Whereas security issues becomes major concerns. Relational databases Oracle has undergone multiple evaluations of its database, IBM hold a significant portion of data stored in software, therefore has failed to have independent experts formally evaluate DB2, today’s database purchase decisions revolve around how secure making it difficult to qualify their assertions about their security the product is. This paper provides a categorical feature implementations. Oracle’s business model is to secure products comparison between Oracle9i Database (Oracle) and IBM DB2 out-of-the-box, and IBM’s is to make customers pay to secure Universal Database (DB2), in addition to examining features the products they purchase. This divergence in approach provided in the SecureWay product line from Tivoli, an IBM demonstrates the value of security to these database competitors subsidiary [7]. It explores the impact of IBM’s and Oracle’s and the resulting security built-in to their customers’ security models on users seeking to protect their critical deployments [7]. information systems and contrasts IBM’s strategy of building security outside of the DB2 database against Oracle’s strategy of securing information in the database server[6].In addition to the II.
    [Show full text]
  • Oracle Database Concepts, 12C Release 1 (12.1) E17633-20
    Oracle® Database Concepts 12c Release 1 (12.1) E17633-20 June 2013 Oracle Database Concepts, 12c Release 1 (12.1) E17633-20 Copyright © 1993, 2013, Oracle and/or its affiliates. All rights reserved. Primary Authors: Lance Ashdown, Tom Kyte Contributors: Drew Adams, Ashish Agrawal, Jagan Athraya, David Austin, Vladimir Barriere, Hermann Baer, Srinagesh Battula, Tammy Bednar, Virginia Beecher, Ashmita Bose, David Brower, Lakshminaray Chidambaran, Deba Chatterjee, Tim Chien, Maria Colgan, Carol Colrain, Jonathan Creighton, Judith D’Addieco, Mark Dilman, Bjørn Engsig, Marcus Fallon, Steve Fogel, Naveen Gopal, Bill Habeck , Min-Hank Ho, Lijie Heng, Min-Hank Ho, Bill Hodak, Yong Hu, Pat Huey, Prakash Jashnani, Kevin Jernigan, Caroline Johnston, Shantanu Joshi, Vikram Kapoor, Feroz Khan, Jonathan Klein, Andre Kruglikov, Sachin Kulkarni, Surinder Kumar, Paul Lane, Adam Lee, Allison Lee, Sue Lee, Yunrui Li , Ilya Listvinski, Bryn Llewellyn, Rich Long, Barb Lundhild, Neil Macnaughton, Vineet Marwah, Bob McGuirk, Joseph Meeks, Mughees Minhas, Sheila Moore, Valarie Moore, Gopal Mulagund, Chuck Murray, Paul Needham, Kevin Neel, Sue Pelski, Raymond Pfau, Gregory Pongracz, Vivekanandhan Raja, Ashish Ray, Bert Rich, Kathy Rich, Scott Rotondo, John Russell, Vivian Schupmann, Shrikanth Shankar, Cathy Shea, Susan Shepard, Sachin Sonawane, James Spiller, Suresh Sridharan, Jim Stenoish, Janet Stern, Rich Strohm, Kamal Tbeileh, Juan Tellez, Ravi Thammaiah, Lawrence To, Mark Townsend, Tomohiro Ueda, Randy Urbano, Badhri Varanasi, Simon Watt, Steve Wertheimer, Patrick Wheeler, Doug Williams, James Williams, Andrew Witkowski, Daniel Wong, Hailing Yu Contributor: The Oracle Database 12c documentation is dedicated to Mark Townsend, who was an inspiration to all who worked on this release. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws.
    [Show full text]