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  • Best Practices For Database Consolidation On Exadata - New Whitepapers

    - by Javier Puerta
     Best Practices For Database Consolidation On Exadata Database Machine (Nov. 2011) Consolidation can minimize idle resources, maximize efficiency, and lower costs when you host multiple schemas, applications or databases on a target system. Consolidation is a core enabler for deploying Oracle database on public and private clouds.This paper provides the Exadata Database Machine (Exadata) consolidation best practices to setup and manage systems and applications for maximum stability and availability:Download here Oracle Exadata Database Machine Consolidation: Segregating Databases and Roles (Sep. 2011) This paper is focused on the aspects of segregating databases from each other in a platform consolidation environment on an Oracle Exadata Database Machine. Platform consolidation is the consolidation of multiple databases on to a single Oracle Exadata Database Machine. When multiple databases are consolidated on a single Database Machine, it may be necessary to isolate certain database components or functions in order to meet business requirements and provide best practices for a secure consolidation. In this paper we outline the use of Oracle Exadata database-scoped security to securely separate database management and provide a detailed case study that illustrates the best practices. Download here

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  • how to get list of databases that a user owns?

    - by chiggsy
    Id like to find out ( and delete ) all the databases owned by an owner in postgres 8.4.3 I'm new to postgres also, and although I can , and will , read the whole manual today i was forced to use for i in $(psql -l |grep novicedba | awk '{print $1}') psql -d postgres -c " drop database \"$i\"" out of desperation. What's the postgresql way to do this?

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  • How can I compare tables in two different databases using SQL?

    - by chama
    I'm trying to compare the schemas of two tables that exist in different databases. So far, I have this query SELECT * FROM sys.columns WHERE object_id = OBJECT_ID('table1') The only thing is that I don't know how to use the sys.columns to reference a database other than the one that the query is connected to. I tried this SELECT * FROM db.sys.columns WHERE object_id = OBJECT_ID('table1') but it didn't find anything. I'm using SQL Server 2005 Any suggestions? thanks!

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  • What would be better, (1 database + 4 tables) or (2 databases + 2 tables each) ?

    - by griseldas
    Hi there, I would like to be advised on what would be better (in regards to performance) A) 1 DATABASE with 4 tables or B) 2 DATABASES (same server), each with 2 tables. The tables size and usage are more or less similar, so the 2 tables on Database 1 would be similar usage/size to the 2 tables on database 2 The tables could have +500,000 records and the 2 tables on each database are not related (no join queries etc between them) Thanks in advance for your comments

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  • Refactoring huge if ( ... instanceof ...)

    - by Chris
    I'm currently trying to refactor a part of a project that looks like this: Many classes B extends A; C extends A; D extends C; E extends B; F extends A; ... And somewhere in the code: if (x instanceof B){ B n = (B) x; ... }else if (x instanceof C){ C n = (C) x; ... }else if (x instanceof D){ D n = (D) x; ... }else if (x instanceof E){ E n = (E) x; ... }else if (x instanceof G){ G n = (G) x; ... }... Above if-construct currently sits in a function with a CC of 19. Now my question is: Can I split this if-construct up in mutliple functions and let Java's OO do the magic? Or are there any catches I have to look out for? My idea: private void oopMagic(C obj){ ... Do the stuff from the if(x instanceof C) here} private void oopMagic(D obj){ ... Do the stuff from the if(x instanceof D) here} private void oopMagic(E obj){ ... Do the stuff from the if(x instanceof E) here} .... and instead of the huge if: oopMagic(x);

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  • Oracle buys Secerno

    - by Paulo Folgado
    Adds Heterogeneous Database Firewall to Oracle's Industry-leading Database Security SolutionsRedwood Shores, CA - May 20, 2010News FactsOracle has agreed to acquire Secerno, a provider of database firewall solutions for Oracle and non-Oracle databases.Organizations require a comprehensive security solution which includes database firewall functionality to prevent sophisticated attacks from reaching databases.Secerno's solution adds a critical defensive layer of security around databases, which blocks unauthorized activity in real-time.Secerno's products are expected to augment Oracle's industry-leading portfolio of database security solutions, including Oracle Advanced Security, Oracle Database Vault and Oracle Audit Vault to further ensure data privacy, protect against threats, and enable regulatory compliance.The combination of Oracle and Secerno underscores Oracle's commitment to provide customers with the most comprehensive and advanced security offering that helps reduce the costs and complexity of securing their information throughout the enterprise.The transaction is expected to close before end of June 2010. Financial details of the transaction were not disclosed.Supporting Quote:"The Secerno acquisition is in direct response to increasing customer challenges around mitigating database security risk," said Andrew Mendelsohn, senior vice president, Oracle Database Server Technologies. "Secerno's database firewall product acts as a first line of defense against external threats and unauthorized internal access with a protective perimeter around Oracle and non-Oracle databases. Together, Oracle's complete set of database security solutions and Secerno's technology will provide customers with the ability to safeguard their critical business information.""As a provider of database firewall solutions that help customers safeguard their enterprise databases, Secerno is a natural addition to Oracle's industry-leading database security solutions," said Steve Hurn, CEO Secerno. "Secerno has been providing enterprises and their IT Security departments strong assurance that their databases are protected from attacks and breaches. We are excited to bring Secerno's domain expertise to Oracle, and ensure continuity and success for our current customers, partners and prospects."Support Resources:About Oracle and SecernoGeneral PresentationFAQCustomer LetterPartner Letter

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  • Run database checks but omit large tables or filegroups - New option in Ola Hallengren's Scripts

    - by Greg Low
    One of the things I've always wanted in DBCC CHECKDB is the option to omit particular tables from the check. The situation that I often see is that companies with large databases often have only one or two very large tables. They want to run a DBCC CHECKDB on the database to check everything except those couple of tables due to time constraints. I posted a request on the Connect site about time some time ago: https://connect.microsoft.com/SQLServer/feedback/details/611164/dbcc-checkdb-omit-tables-option The workaround from the product team was that you could script out the checks that you did want to carry out, rather than omitting the ones that you didn't. I didn't overly like this as a workaround as clients often had a very large number of objects that they did want to check and only one or two that they didn't. I've always been impressed with the work that our buddy Ola Hallengren has done on his maintenance scripts. He pinged me recently about my old Connect item and said he was going to implement something similar. The good news is that it's available now. Here are some examples he provided of the newly-supported syntax: EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKDB' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'ALL_OBJECTS,-AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'AdventureWorks.PRIMARY' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'ALL_FILEGROUPS,-AdventureWorks.PRIMARY' Note the syntax to omit an object from the list of objects and the option to omit one filegroup. Nice! Thanks Ola! You'll find details here: http://ola.hallengren.com/  

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  • Run database checks but omit large tables or filegroups - New option in Ola Hallengren's Scripts

    - by Greg Low
    One of the things I've always wanted in DBCC CHECKDB is the option to omit particular tables from the check. The situation that I often see is that companies with large databases often have only one or two very large tables. They want to run a DBCC CHECKDB on the database to check everything except those couple of tables due to time constraints. I posted a request on the Connect site about time some time ago: https://connect.microsoft.com/SQLServer/feedback/details/611164/dbcc-checkdb-omit-tables-option The workaround from the product team was that you could script out the checks that you did want to carry out, rather than omitting the ones that you didn't. I didn't overly like this as a workaround as clients often had a very large number of objects that they did want to check and only one or two that they didn't. I've always been impressed with the work that our buddy Ola Hallengren has done on his maintenance scripts. He pinged me recently about my old Connect item and said he was going to implement something similar. The good news is that it's available now. Here are some examples he provided of the newly-supported syntax: EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKDB' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'ALL_OBJECTS,-AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'AdventureWorks.PRIMARY' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'ALL_FILEGROUPS,-AdventureWorks.PRIMARY' Note the syntax to omit an object from the list of objects and the option to omit one filegroup. Nice! Thanks Ola! You'll find details here: http://ola.hallengren.com/  

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  • Introducing Oracle Multitenant

    - by OracleMultitenant
    0 0 1 1142 6510 Oracle Corporation 54 15 7637 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-language:JA;} The First Database Designed for the Cloud Today Oracle announced the general availability (GA) of Oracle Database 12c, the first database designed for the Cloud. Oracle Multitenant, new with Oracle Database 12c, is a key component of this – a new architecture for consolidating databases and simplifying operations in the Cloud. With this, the inaugural post in the Multitenant blog, my goal is to start the conversation about Oracle Multitenant. We are very proud of this new architecture, which we view as a major advance for Oracle. Customers, partners and analysts who have had previews are very excited about its capabilities and its flexibility. This high level review of Oracle Multitenant will touch on our design considerations and how we re-architected our database for the cloud. I’ll briefly describe our new multitenant architecture and explain it’s key benefits. Finally I’ll mention some of the major use cases we see for Oracle Multitenant. Industry Trends We always start by talking to our customers about the pressures and challenges they’re facing and what trends they’re seeing in the industry. Some things don’t change. They face the same pressures and the same requirements as ever: Pressure to do more with less; be faster, leaner, cheaper, and deliver services 24/7. Big companies have achieved scale. Now they want to realize economies of scale. As ever, DBAs are faced with the challenges of patching and upgrading large numbers of databases, and provisioning new ones.  Requirements are familiar: Performance, scalability, reliability and high availability are non-negotiable. They need ever more security in this threatening climate. There’s no time to stop and retool with new applications. What’s new are the trends. These are the techniques to use to respond to these pressures within the constraints of the requirements. With the advent of cloud computing and availability of massively powerful servers – even engineered systems such as Exadata – our customers want to consolidate many applications into fewer larger servers. There’s a move to standardized services – even self-service. Consolidation Consolidation is not new; companies have tried various different approaches to consolidation of databases in the cloud. One approach is to partition a powerful server between several virtual machines, one per application. A downside of this is that you have the resource and management overheads of OS and RDBMS per VM – that is, per application. Another is that you have replaced physical sprawl with virtual sprawl and virtual sprawl is still expensive to manage. In the dedicated database model, we have a single physical server supporting multiple databases, one per application. So there’s a shared OS overhead, but RDBMS process and memory overhead are replicated per application. Let's think about our traditional Oracle Database architecture. Every time we create a database, be it a production database, a development or a test database, what do we do? We create a set of files, we allocate a bunch of memory for managing the data, and we kick off a series of background processes. This is replicated for every one of the databases that we create. As more and more databases are fired up, these replicated overheads quickly consume the available server resources and this limits the number of applications we can run on any given server. In Oracle Database 11g and earlier the highest degree of consolidation could be achieved by what we call schema consolidation. In this model we have one big server with one big database. Individual applications are installed in separate schemas or table-owners. Database overheads are shared between all applications, which affords maximum consolidation. The shortcomings are that application changes are often required. There is no tenant isolation. One bad apple can spoil the whole batch. New Architecture & Benefits In Oracle Database 12c, we have a new multitenant architecture, featuring pluggable databases. This delivers all the resource utilization advantages of schema consolidation with none of the downsides. There are two parts to the term “pluggable database”: "pluggable", which is new, and "database", which is familiar.  Before we get to the exciting new stuff let’s discuss what hasn’t changed. A pluggable database is a fully functional Oracle database. It’s not watered down in any way. From the perspective of an application or an end user it hasn’t changed at all. This is very important because it means that no application changes are required to adopt this new architecture. There are many thousands of applications built on Oracle databases and they are all ready to run on Oracle Multitenant. So we have these self-contained pluggable databases (PDBs), and as their name suggests, they are plugged into a multitenant container database (CDB). The CDB behaves as a single database from the operations point of view. Very much as we had with the schema consolidation model, we only have a single set of Oracle background processes and a single, shared database memory requirement. This gives us very high consolidation density, which affords maximum reduction in capital expenses (CapEx). By performing management operations at the CDB level – “managing many as one” – we can achieve great reductions in operating expenses (OpEx) as well, but we retain granular control where appropriate. Furthermore, the “pluggability” capability gives us portability and this adds a tremendous amount of agility. We can simply unplug a PDB from one CDB and plug it into another CDB, for example to move it from one SLA tier to another. I'll explore all these new capabilities in much more detail in a future posting.  Use Cases We can identify a number of use cases for Oracle Multitenant. Here are a few of the major ones. 0 0 1 113 650 Oracle Corporation 5 1 762 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-language:JA;} Development / Testing where individual engineers need rapid provisioning and recycling of private copies of a few "master test databases" Consolidation of disparate applications using fewer, more powerful servers Software as a Service deploying separate copies of identical applications to individual tenants Database as a Service typically self-service provisioning of databases on the private cloud Application Distribution from ISV / Installation by Customer Eliminating many typical installation steps (create schema, import seed data, import application code PL/SQL…) - just plug in a PDB! High volume data distribution literally via disk drives in envelopes distributed by truck! - distribution of things like GIS or MDM master databases …various others! Benefits Previous approaches to consolidation have involved a trade-off between reductions in Capital Expenses (CapEx) and Operating Expenses (OpEx), and they’ve usually come at the expense of agility. With Oracle Multitenant you can have your cake and eat it: Minimize CapEx More Applications per server Minimize OpEx Manage many as one Standardized procedures and services Rapid provisioning Maximize Agility Cloning for development and testing Portability through pluggability Scalability with RAC Ease of Adoption Applications run unchanged It’s a pure deployment choice. Neither the database backend nor the application needs to be changed. In future postings I’ll explore various aspects in more detail. However, if you feel compelled to devour everything you can about Oracle Multitenant this very minute, have no fear. Visit the Multitenant page on OTN and explore the various resources we have available there. Among these, Oracle Distinguished Product Manager Bryn Llewellyn has written an excellent, thorough, and exhaustively detailed White Paper about Oracle Multitenant, which is available here.  Follow me  I tweet @OraclePDB #OracleMultitenant

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  • Is it easy to switch from relational to non-relational databases with Rails?

    - by Tam
    Good day, I have been using Rails/Mysql for the past while but I have been hearing about Cassandra, MongoDB, CouchDB and other document-store DB/Non-relational databases. I'm planning to explore them later as they might be better alternative for scalability. I'm planning to start an application soon. Will it make a different with Rails design if I move from relational to non-relational database? I know Rails migrations are database-agnostic but wasn't sure if moving to non-relational will make difference with design or not.

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  • What happens when auto_increment on integer column reaches the max_value in databases?

    - by Sanoj
    I am implementing a database application and I will use both JavaDB and MySQL as database. I have an ID column in my tables that has integer as type and I use the databases auto_increment-function for the value. But what happens when I get more than 2 (or 4) billion posts and integer is not enough? Is the integer overflowed and continues or is an exception thrown that I can handle? Yes, I could change to long as datatype, but how do I check when that is needed? And I think there is problem with getting the last_inserted_id()-functions if I use long as datatype for the ID-column.

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  • Are there any small scale, durable document/object databases?

    - by Joe Doyle
    I have a few .Net projects that would benefit from using a document/object database opposed to a relational one. I think that db4o would be a good choice, but we're not sure how much the cost is. I'd love to use MongoDB but it's design isn't for small scale, single server applications. Are there other options out there that I just haven't run across for small scale applications? EDIT: So is this a space that doesn't have a good solution, yet? Are there no small scale & durable document databases? Would my best choice be to use MongoDB and set the --syncdelay option set to 1?

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  • How to think in data stores instead of databases?

    - by Jim
    As an example, Google App Engine uses data stores, not a database, to store data. Does anybody have any tips for using data stores instead of databases? It seems I've trained my mind to think 100% in object relationships that map directly to table structures, and now it's hard to see anything differently. I can understand some of the benefits of data stores (e.g. performance and the ability to distribute data), but some good database functionality is sacrificed (e.g. joins). Does anybody who has worked with data stores like BigTable have any good advice to working with them?

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  • Should I be concerned about performance with connections to multiple databases?

    - by Josh Ryan
    I have a PHP app that is running on an Apache server with MySQL databases. Based on the subdomain that users access, I am connecting them to a database (sub1.domain.com connects to database_sub1 and sub2.domain.com connects to database_sub2). Right now there are 10 subdomain-database combos, but that number could potentially grow to well over 100. So, is this a bad thing? Considering my situation, is myslq_pconnect a better way to go? Thanks, and please let me know if more info would be helpful. Josh

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  • Are there Python ORMs out there that support multiple independent databases concurrently in use?

    - by sdt
    I'm writing an application in Python where I wish to use sqlite as the backing store for documents edited by the app, with documents generally living in memory, but being saved to disk-based databases when the application saves. Ideally I'd like to use something like an ORM to make access to the data from my Python application code simple. Unfortunately it seems like the majority of Python ORMs, including SQLAlchemy, SQLObject, Django, and Storm, associate the database connection (or engine or whatever) with the classes representing table data, rather than instances of those classes. This restricts these ORMs to working with a single database connection across all instances. Since I'd like to support having multiple documents open simultaneously, this isn't going to work for me. Are there any ORMs out there that support this usage model in Python? Bazaar seems to support this, but it's quite out of date, and at first glance appears to have some other shortcomings. Thanks for any suggestions!

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  • Does anyone have a backup strategy for SQL Azure databases?

    - by Pete
    I'm using SQL Azure on a project and it works great. The problem is that the usual backup features do not exist. I have exported the database a couple of times using SQLAzureMW ( http://sqlazuremw.codeplex.com/ ) but this tool is now choking trying to download the database data with bcp. In any case, it's not as nice a solution as SQL Server backups. Is anyone aware of a commercial or open source tool, or other technique, for making reliable backups of SQL Azure databases? This is really a showstopper.

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