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  • Is Oracle Database Appliance (ODA) A Best Kept Secret?

    - by Ravi.Sharma
    There is something about Oracle Database Appliance that underscores the tremendous value customers see in the product. Repeat purchases. When you buy “one” of something and come back to buy another, it confirms that the product met your expectations, you found good value in it, and perhaps you will continue to use it. But when you buy “one” and come back to buy many more on your very next purchase, it tells something else. It tells that you truly believe that you have found the best value out there. That you are convinced! That you are sold on the great idea and have discovered a product that far exceeds your expectations and delivers tremendous value! Many Oracle Database Appliance customers are such larger-volume-repeat-buyers. It is no surprise, that the product has a deeper penetration in many accounts where a customer made an initial purchase. The value proposition of Oracle Database Appliance is undeniably strong and extremely compelling. This is especially true for customers who are simply upgrading or “refreshing” their hardware (and reusing software licenses). For them, the ability to acquire world class, highly available database hardware along with leading edge management software and all of the automation is absolutely a steal. One customer DBA recently said, “Oracle Database Appliance is the best investment our company has ever made”. Such extreme statements do not come out of thin air. You have to experience it to believe it. Oracle Database Appliance is a low cost product. Not many sales managers may be knocking on your doors to sell it. But the great value it delivers to small and mid-size businesses and database implementations should not be underestimated. 

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  • Should one use a separate database for application data and user data?

    - by trycatch
    I’ve been working on a project for a little while and I’m unsure which is the better architecture. I’m interested in the consensus. The answer to me seems fairly obvious but something about it is digging at me and I can't pick out what. The TL;DR is: how do you handle a program with application data and user data in the same DB which needs to be able to receive updates to the application data periodically? One database for user data and one for application, or both in one? The detailed version is.. if an application has a database which needs to maintain application data AND user data, and the user data all references application data, it feels more natural to me to store them in the same database. But if there exists a need to be able to update the application data within this database periodically, should this be stripped into two databases so that one can simply download the updated application data database file as an update and replace the old one? Or should they remain as one database, and the application data be updated via a script which inserts the new data into the existing database? The second sounds clearly preferable to me... but for some reason just doesn’t feel right, and I can't pick out quite why.

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  • rspec undefined local variable or method `class_nesting_depth`

    - by unsorted
    I'm using rails 3 w/ rspec-rails 2.4.1 and I get an error during model generation. Can't find anything from googling. Anyone know what might be going on? TIA $ rails g model CourseRating student_id:integer course_id:integer difficulty:integer usefulness:integer invoke active_record create db/migrate/20110111044035_create_course_ratings.rb create app/models/course_rating.rb invoke rspec create spec/models/course_rating_spec.rb (erb):1:in `template': undefined local variable or method `class_nesting_depth' for #<Rspec::Generators::ModelGenerator:0x0000010424e460> (NameError) from /Users/glurban/.rvm/rubies/ruby-1.9.2-rc2/lib/ruby/1.9.1/erb.rb:753:in `eval' from /Users/glurban/.rvm/rubies/ruby-1.9.2-rc2/lib/ruby/1.9.1/erb.rb:753:in `result' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/file_manipulation.rb:111:in `block in template' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/create_file.rb:54:in `call' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/create_file.rb:54:in `render' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/create_file.rb:63:in `block (2 levels) in invoke!' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/create_file.rb:63:in `open' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/create_file.rb:63:in `block in invoke!' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/empty_directory.rb:114:in `call' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/empty_directory.rb:114:in `invoke_with_conflict_check' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/create_file.rb:61:in `invoke!' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions.rb:95:in `action' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/create_file.rb:26:in `create_file' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/actions/file_manipulation.rb:110:in `template' from /Users/glurban/code/recruitd/lib/generators/rspec/model/model_generator.rb:10:in `create_test_file' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/task.rb:22:in `run' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:118:in `invoke_task' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `block in invoke_all' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `each' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `map' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `invoke_all' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:226:in `dispatch' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:109:in `invoke' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:269:in `block in _invoke_for_class_method' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/shell.rb:74:in `with_padding' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:258:in `_invoke_for_class_method' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:150:in `_invoke_from_option_test_framework' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/task.rb:22:in `run' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:118:in `invoke_task' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `block in invoke_all' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `each' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `map' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `invoke_all' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:226:in `dispatch' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:109:in `invoke' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:269:in `block in _invoke_for_class_method' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/shell.rb:74:in `with_padding' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:258:in `_invoke_for_class_method' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:150:in `_invoke_from_option_orm' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/task.rb:22:in `run' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:118:in `invoke_task' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `block in invoke_all' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `each' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `map' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/invocation.rb:124:in `invoke_all' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/group.rb:226:in `dispatch' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/thor-0.14.6/lib/thor/base.rb:389:in `start' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/railties-3.0.0/lib/rails/generators.rb:163:in `invoke' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/railties-3.0.0/lib/rails/commands/generate.rb:10:in `<top (required)>' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/activesupport-3.0.0/lib/active_support/dependencies.rb:239:in `require' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/activesupport-3.0.0/lib/active_support/dependencies.rb:239:in `block in require' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/activesupport-3.0.0/lib/active_support/dependencies.rb:225:in `block in load_dependency' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/activesupport-3.0.0/lib/active_support/dependencies.rb:591:in `new_constants_in' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/activesupport-3.0.0/lib/active_support/dependencies.rb:225:in `load_dependency' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/activesupport-3.0.0/lib/active_support/dependencies.rb:239:in `require' from /Users/glurban/.rvm/gems/ruby-1.9.2-rc2/gems/railties-3.0.0/lib/rails/commands.rb:17:in `<top (required)>' from script/rails:6:in `require' from script/rails:6:in `<main>'

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  • Quotas - Using quotas on ZFSSA shares and projects and users

    - by Steve Tunstall
    So you don't want your users to fill up your entire storage pool with their MP3 files, right? Good idea to make some quotas. There's some good tips and tricks here, including a helpful workflow (a script) that will allow you to set a default quota on all of the users of a share at once. Let's start with some basics. I mad a project called "small" and inside it I made a share called "Share1". You can set quotas on the project level, which will affect all of the shares in it, or you can do it on the share level like I am here. Go the the share's General property page. First, I'm using a Windows client, so I need to make sure I have my SMB mountpoint. Do you know this trick yet? Go to the Protocol page of the share. See the SMB section? It needs a resource name to make the UNC path for the SMB (Windows) users. You do NOT have to type this name in for every share you make! Do this at the Project level. Before you make any shares, go to the Protocol properties of the Project, and set the SMB Resource name to "On". This special code will automatically make the SMB resource name of every share in the project the same as the share name. Note the UNC path name I got below. Since I did this at the Project level, I didn't have to lift a finger for it to work on every share I make in this project. Simple. So I have now mapped my Windows "Z:" drive to this Share1. I logged in as the user "Joe". Note that my computer shows my Z: drive as 34GB, which is the entire size of my Pool that this share is in. Right now, Joe could fill this drive up and it would fill up my pool.  Now, go back to the General properties of Share1. In the "Space Usage" area, over on the right, click on the "Show All" text under the Users & Groups section. Sure enough, Joe and some other users are in here and have some data. Note this is also a handy window to use just to see how much space your users are using in any given share.  Ok, Joe owes us money from lunch last week, so we want to give him a quota of 100MB. Type his name in the Users box. Notice how it now shows you how much data he's currently using. Go ahead and give him a 100M quota and hit the Apply button. If I go back to "Show All", I can see that Joe now has a quota, and no one else does. Sure enough, as soon as I refresh my screen back on Joe's client, he sees that his Z: drive is now only 100MB, and he's more than half way full.  That was easy enough, but what if you wanted to make the whole share have a quota, so that the share itself, no matter who uses it, can only grow to a certain size? That's even easier. Just use the Quota box on the left hand side. Here, I use a Quota on the share of 300MB.  So now I log off as Joe, and log in as Steve. Even though Steve does NOT have a quota, it is showing my Z: drive as 300MB. This would effect anyone, INCLUDING the ROOT user, becuase you specified the Quota to be on the SHARE, not on a person.  Note that back in the Share, if you click the "Show All" text, the window does NOT show Steve, or anyone else, to have a quota of 300MB. Yet we do, because it's on the share itself, not on any user, so this panel does not see that. Ok, here is where it gets FUN.... Let's say you do NOT want a quota on the SHARE, because you want SOME people, like Root and yourself, to have FULL access to it and you want the ability to fill the whole thing up if you darn well feel like it. HOWEVER, you want to give the other users a quota. HOWEVER you have, say, 200 users, and you do NOT feel like typing in each of their names and giving them each a quota, and they are not all members of a AD global group you could use or anything like that.  Hmmmmmm.... No worries, mate. We have a handy-dandy script that can do this for us. Now, this script was written a few years back by Tim Graves, one of our ZFSSA engineers out of the UK. This is not my script. It is NOT supported by Oracle support in any way. It does work fine with the 2011.1.4 code as best as I can tell, but Oracle, and I, are NOT responsible for ANYTHING that you do with this script. Furthermore, I will NOT give you this script, so do not ask me for it. You need to get this from your local Oracle storage SC. I will give it to them. I want this only going to my fellow SCs, who can then work with you to have it and show you how it works.  Here's what it does...Once you add this workflow to the Maintenance-->Workflows section, you click it once to run it. Nothing seems to happen at this point, but something did.   Go back to any share or project. You will see that you now have four new, custom properties on the bottom.  Do NOT touch the bottom two properties, EVER. Only touch the top two. Here, I'm going to give my users a default quota of about 40MB each. The beauty of this script is that it will only effect users that do NOT already have any kind of personal quota. It will only change people who have no quota at all. It does not effect the Root user.  After I hit Apply on the Share screen. Nothing will happen until I go back and run the script again. The first time you run it, it creates the custom properties. The second and all subsequent times you run it, it checks the shares for any users, and applies your quota number to each one of them, UNLESS they already have one set. Notice in the readout below how it did NOT apply to my Joe user, since Joe had a quota set.  Sure enough, when I go back to the "Show All" in the share properties, all of the users who did not have a quota, now have one for 39.1MB. Hmmm... I did my math wrong, didn't I?    That's OK, I'll just change the number of the Custom Default quota again. Here, I am adding a zero on the end.  After I click Apply, and then run the script again, all of my users, except Joe, now have a quota of 391MB  You can customize a person at any time. Here, I took the Steve user, and specifically gave him a Quota of zero. Now when I run the script again, he is different from the rest, so he is no longer effected by the script. Under Show All, I see that Joe is at 100, and Steve has no Quota at all. I can do this all day long. es, you will have to re-run the script every time new users get added. The script only applies the default quota to users that are present at the time the script is ran. However, it would be a simple thing to schedule the script to run each night, or to make an alert to run the script when certain events occur.  For you power users, if you ever want to delete these custom properties and remove the script completely, you will find these properties under the "Schema" section under the Shares section. You can remove them here. There's no need to, however, they don't hurt a thing if you just don't use them.  I hope these tips have helped you out there. Quotas can be fun. 

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  • SQL – Quick Start with Explorer Sections of NuoDB – Query NuoDB Database

    - by Pinal Dave
    This is the third post in the series of the blog posts I am writing about NuoDB. NuoDB is very innovative and easy-to-use product. I can clearly see how one can scale-out NuoDB with so much ease and confidence. In my very first blog post we discussed how we can install NuoDB (link), and in my second post I discussed how we can manage the NuoDB database transaction engines and storage managers with a few clicks (link). Note: You can Download NuoDB from here. In this post, we will learn how we can use the Explorer feature of NuoDB to do various SQL operations. NuoDB has a browser-based Explorer, which is very powerful and has many of the features any IDE would normally have. Let us see how it works in the following step-by-step tutorial. Let us go to the NuoDBNuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the QuickStart screen. Make sure that you have created the sample database. If you have not created sample database, click on Create Database and create it successfully. Now go to the NuoDB Explorer by clicking on the main tab, and it will ask you for your domain username and password. Enter the username as a domain and password as a bird. Alternatively you can also enter username as a quickstart and password as a quickstart. Once you enter the password you will be able to see the databases. In our example we have installed the Sample Database hence you will see the Test database in our Database Hierarchy screen. When you click on database it will ask for the database login. Note that Database Login is different from Domain login and you will have to enter your database login over here. In our case the database username is dba and password is goalie. Once you enter a valid username and password it will display your database. Further expand your database and you will notice various objects in your database. Once you explore various objects, select any database and click on Open. When you click on execute, it will display the SQL script to select the data from the table. The autogenerated script displays entire result set from the database. The NuoDB Explorer is very powerful and makes the life of developers very easy. If you click on List SQL Statements it will list all the available SQL statements right away in Query Editor. You can see the popup window in following image. Here is the cool thing for geeks. You can even click on Query Plan and it will display the text based query plan as well. In case of a SELECT, the query plan will be much simpler, however, when we write complex queries it will be very interesting. We can use the query plan tab for performance tuning of the database. Here is another feature, when we click on List Tables in NuoDB Explorer.  It lists all the available tables in the query editor. This is very helpful when we are writing a long complex query. Here is a relatively complex example I have built using Inner Join syntax. Right below I have displayed the Query Plan. The query plan displays all the little details related to the query. Well, we just wrote multi-table query and executed it against the NuoDB database. You can use the NuoDB Admin section and do various analyses of the query and its performance. NuoDB is a distributed database built on a patented emergent architecture with full support for SQL and ACID guarantees.  It allows you to add Transaction Engine processes to a running system to improve the performance of your system.  You can also add a second Storage Engine to your running system for redundancy purposes.  Conversely, you can shut down processes when you don’t need the extra database resources. NuoDB also provides developers and administrators with a single intuitive interface for centrally monitoring deployments. If you have read my blog posts and have not tried out NuoDB, I strongly suggest that you download it today and catch up with the learnings with me. Trust me though the product is very powerful, it is extremely easy to learn and use. Reference: Pinal Dave (http://blog.sqlauthority.com)   Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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  • Circular references in TFS Database Edition

    - by Jaco Pretorius
    I'm using TFS Database Edition to script a number of databases. Many of the databases have references between them - for example, view in database A might do select ... from B..TableX This works fine as long as database B is also a project in the solution. The problem comes in when I have objects in database A referencing database B and database B referencing objects in database A. It seems like Visual Studio needs to build the projects in order which is obviously not possible in this case. How do you deal with circular references between database projects in TFS database edition?

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  • How to change hardcoded database paths in a Lotus Approach Database

    - by asoltys
    One of our Lotus Approach files (file extension .apr) has hardcoded paths to additional underlying database files (file extension .dbf). We've moved the Approach database and all the underlying files to a new network drive, so these paths need to be updated. You can see the old paths by opening the File menu and selecting "Approach File Properties", under the "Databases" heading. How can you change these paths?

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  • Extending Database-as-a-Service to Provision Databases with Application Data

    - by Nilesh A
    Oracle Enterprise Manager 12c Database as a Service (DBaaS) empowers Self Service/SSA Users to rapidly spawn databases on demand in cloud. The configuration and structure of provisioned databases depends on respective service template selected by Self Service user while requesting for database. In EM12c, the DBaaS Self Service/SSA Administrator has the option of hosting various service templates in service catalog and based on underlying DBCA templates.Many times provisioned databases require production scale data either for UAT, testing or development purpose and managing DBCA templates with data can be unwieldy. So, we need to populate the database using post deployment script option and without any additional work for the SSA Users. The SSA Administrator can automate this task in few easy steps. For details on how to setup DBaaS Self Service Portal refer to the DBaaS CookbookIn this article, I will list steps required to enable EM 12c DBaaS to provision databases with application data in two distinct ways using: 1) Data pump 2) Transportable tablespaces (TTS). The steps listed below are just examples of how to extend EM 12c DBaaS and you can even have your own method plugged in part of post deployment script option. Using Data Pump to populate databases These are the steps to be followed to implement extending DBaaS using Data Pump methodolgy: Production DBA should run data pump export on the production database and make the dump file available to all the servers participating in the database zone [sample shown in Fig.1] -- Full exportexpdp FULL=y DUMPFILE=data_pump_dir:dpfull1%U.dmp, data_pump_dir:dpfull2%U.dmp PARALLEL=4 LOGFILE=data_pump_dir:dpexpfull.log JOB_NAME=dpexpfull Figure-1:  Full export of database using data pump Create a post deployment SQL script [sample shown in Fig. 2] and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned Normal 0 -- Full importdeclare    h1   NUMBER;begin-- Creating the directory object where source database dump is backed up.    execute immediate 'create directory DEST_LOC as''/scratch/nagrawal/OracleHomes/oradata/INITCHNG/datafile''';-- Running import    h1 := dbms_datapump.open (operation => 'IMPORT', job_mode => 'FULL', job_name => 'DB_IMPORT10');    dbms_datapump.set_parallel(handle => h1, degree => 1);    dbms_datapump.add_file(handle => h1, filename => 'IMP_GRIDDB_FULL.LOG', directory => 'DATA_PUMP_DIR', filetype => 3);    dbms_datapump.add_file(handle => h1, filename => 'EXP_GRIDDB_FULL_%U.DMP', directory => 'DEST_LOC', filetype => 1);    dbms_datapump.start_job(handle => h1);    dbms_datapump.detach(handle => h1);end;/ Figure-2: Importing using data pump pl/sql procedures Using DBCA, create a template for the production database – include all the init.ora parameters, tablespaces, datafiles & their sizes SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In “Additional Configuration Options” step of Customize “Create Database Deployment Procedure” flow, provide the name of the SQL script in the Custom Script section and lock the input (shown in Fig. 3). Continue saving the deployment procedure. Figure-3: Using Custom script option for calling Import SQL Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also  populate the data using the post deployment step. Using Transportable tablespaces to populate databases Copy of all user/application tablespaces will enable this method of populating databases. These are the required steps to extend DBaaS using transportable tablespaces: Production DBA needs to create a backup of tablespaces. Datafiles may need conversion [such as from Big Endian to Little Endian or vice versa] based on the platform of production and destination where DBaaS created the test database. Here is sample backup script shows how to find out if any conversion is required, describes the steps required to convert datafiles and backup tablespace. SSA Administrator should copy the database (tablespaces) backup datafiles and export dumps to the backup location accessible from the hosts participating in the database zone(s). Create a post deployment SQL script and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned. Here is sample post deployment SQL script using transportable tablespaces. Using DBCA, create a template for the production database – all the init.ora parameters should be included. NOTE: DO NOT choose to bring tablespace data into this template as they will be created SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In the “Additional Configuration Options” step of the flow, provide the name of the SQL script in the Custom Script section and lock the input. Continue saving the deployment procedure. Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also populate the data using the post deployment step. More Information: Database-as-a-Service on Exadata Cloud Podcast on Database as a Service using Oracle Enterprise Manager 12c Oracle Enterprise Manager 12c Installation and Administration guide, Cloud Administration guide DBaaS Cookbook Screenwatch: Private Database Cloud: Set Up the Cloud Self-Service Portal Screenwatch: Private Database Cloud: Use the Cloud Self-Service Portal Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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  • What's a good pure-python, document-based and flat-file database engine?

    - by joe Simpson
    Hi, for development i'd love to have a flat file database with the requirements up in the title, but I don't seem to be able to find a database with these requirements. I can't seem to get MetaKit to work. I only need it to work on the development machine, but in the real world my product will have more data and needs more room and will need something better. Does anyone know of a database engine capable of this or do I need to just use python's pickle and load and save a file? Joe

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  • Database Vault integration available

    - by Anthony Shorten
    One of the major features of Oracle Utilities Application Framework V4.1 is the provision of a base solution for integration to the Database Vault product. Database Vault is part of Oracle’s security portfolio of product and allows database user permissions to be locked down to only allow appropriate users appropriate access to the product data. By default, when you install the product database, administrators and SYSDBA users have full DML (SELECT, INSERT, UPDATE and DELETE access) to the schemas they own and in the case of the SYSDBA users, all schemas on the database. This can be perceived as an issue. Database Vault allows an additional layer of security to disable inappropriate access. In Oracle Utilities Application Framework, a prebuilt Database Vault solution has been provided to provide base DML access to product data for product users only. The solution is shipped with the database installation files and includes a set of SQL files to create, disable, enable and delete the Database Vault objects. The solution contains a Database Vault Realm, RuleSets, Rules and Command Rules that can be used as is or extended to meet site specific needs. The solution is consistent with other Database Vault solutions provided for other Oracle applications such as PeopleSoft, E-Business Suite, JD-Edwards and Siebel. Customers familiar with the database vault solutions for those products will recognize the similarities between the solutions. For more details of the solution, refer to the Database Vault Integration for Oracle Utilities Application Framework Based Products on My Oracle Support at KB Id: 1290700.1.

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  • Database sharing/versioning

    - by DarkJaff
    Hi everyone, I have a question but I'm not sure of the word to use. My problem: I have an application using a database to stock information. The database can ben in access (local) or in a server (SQL Server or Oracle). We support these 3 kind of database. We want to give the possibility to the user to do what I think we can call versioning. Let me explain : We have a database 1. This is the master. We want to be able to create a database 2 that will be the same thing as database 1 but we can give it to someone else. They each work on each other side, adding, modifying and deleting records on this very complex database. After that, we want the database 1 to include the change from database 2, but with the possibility to dismiss some of the change. For you information, ou application is already multiuser so why don't we just use this multi-user and forget about this versionning? It's because sometimes, we need to give a copy of the database to another company on another site and they can't connect on our server. They work on their side and then, we want to merge. Is there anyone here with experience with this type of requirement? We have a lot of ideas but most of them require a LOT of work, massive modification to the database or to the existing queries. This is a 2 millions and growing C++ app, so rewriting it is not possible! Thanks for any ideas that you may give us! J-F

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  • How can I make hundreds of simultaneously running processes communicate with a database through one

    - by Olfan
    Long speech short: How can I make hundreds of simultaneously running processes communicate with a database through one or few permanent sessions? The whole story: I once built a number crunching engine that handles vast amounts of large data files by forking off one child after another giving each a small number of files to work on. File locking, progress monitoring and result propagation happen in an Oracle database which all (sub-)processes access at various times using an application-specific module which encapsulates DBI. This worked well at first, but now with higher volumes of input data, the number of database sessions (one per child, and they can be very short-lived) constantly being opened and closed is becoming an issue. I now want to centralise database access so that there are only one or few fixed database sessions which handle all database access for all the (sub-)processes. The presence of the database abstraction module should make the changes easy because the function calls in the worker instances can stay the same. My problem is that I cannot think of a suitable way to enhance said module in order to establish communication between all the processes and the database connector(s). I thought of message queueing, but couldn't come up with a way of connecting a large herd of requestors with one or few database connectors in a way so that bidirectional communication is possible (for collecting the query result). An asynchronous approach could help here in that all requests are written to the same queue and the database connector servicing the request will "call back" to submit the result. But my mind fails me in generating an image clear enough so that I can paint into code. Threading instead of forking might have given me an easier start, but this would now require massive changes to the code base that I'm not prepared to do to a live system. The more I think of it, the more the base idea looks like a pre-forked web server to me only that it doesn't serve web pages but database queries. Any ideas on what to dig into, and where? Sample (pseudo) code to inspire me, links to possibly related articles, ready solutions on CPAN maybe?

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  • Where to store users consent (EU cookie law)

    - by Mantorok
    We are legally obliged in a few months to obtain consent from users to allow us to store any cookies on the users PC. My query is, what would be the most effective way of storing this consent to ensure that users don't get repeat requests to give consent in the future, obviously for authenticated users I can store this against their profile. But what about for non-authenticated users. My initial thought, ironically, was to store given consent in a cookie..?

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  • Oracle’s New Memory-Optimized x86 Servers: Getting the Most Out of Oracle Database In-Memory

    - by Josh Rosen, x86 Product Manager-Oracle
    With the launch of Oracle Database In-Memory, it is now possible to perform real-time analytics operations on your business data as it exists at that moment – in the DRAM of the server – and immediately return completely current and consistent data. The Oracle Database In-Memory option dramatically accelerates the performance of analytics queries by storing data in a highly optimized columnar in-memory format.  This is a truly exciting advance in database technology.As Larry Ellison mentioned in his recent webcast about Oracle Database In-Memory, queries run 100 times faster simply by throwing a switch.  But in order to get the most from the Oracle Database In-Memory option, the underlying server must also be memory-optimized. This week Oracle announced new 4-socket and 8-socket x86 servers, the Sun Server X4-4 and Sun Server X4-8, both of which have been designed specifically for Oracle Database In-Memory.  These new servers use the fastest Intel® Xeon® E7 v2 processors and each subsystem has been designed to be the best for Oracle Database, from the memory, I/O and flash technologies right down to the system firmware.Amongst these subsystems, one of the most important aspects we have optimized with the Sun Server X4-4 and Sun Server X4-8 are their memory subsystems.  The new In-Memory option makes it possible to select which parts of the database should be memory optimized.  You can choose to put a single column or table in memory or, if you can, put the whole database in memory.  The more, the better.  With 3 TB and 6 TB total memory capacity on the Sun Server X4-4 and Sun Server X4-8, respectively, you can memory-optimize more, if not your entire database.   Sun Server X4-8 CMOD with 24 DIMM slots per socket (up to 192 DIMM slots per server) But memory capacity is not the only important factor in selecting the best server platform for Oracle Database In-Memory.  As you put more of your database in memory, a critical performance metric known as memory bandwidth comes into play.  The total memory bandwidth for the server will dictate the rate in which data can be stored and retrieved from memory.  In order to achieve real-time analysis of your data using Oracle Database In-Memory, even under heavy load, the server must be able to handle extreme memory workloads.  With that in mind, the Sun Server X4-8 was designed with the maximum possible memory bandwidth, providing over a terabyte per second of total memory bandwidth.  Likewise, the Sun Server X4-4 also provides extreme memory bandwidth in an even more compact form factor with over half a terabyte per second, providing customers with scalability and choice depending on the size of the database.Beyond the memory subsystem, Oracle’s Sun Server X4-4 and Sun Server X4-8 systems provide other key technologies that enable Oracle Database to run at its best.  The Sun Server X4-4 allows for up 4.8 TB of internal, write-optimized PCIe flash while the Sun Server X4-8 allows for up to 6.4 TB of PCIe flash.  This enables dramatic acceleration of data inserts and updates to Oracle Database.  And with the new elastic computing capability of Oracle’s new x86 servers, server performance can be adapted to your specific Oracle Database workload to ensure that every last bit of processing power is utilized.Because Oracle designs and tests its x86 servers specifically for Oracle workloads, we provide the highest possible performance and reliability when running Oracle Database.  To learn more about Sun Server X4-4 and Sun Server X4-8, you can find more details including data sheets and white papers here. Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software.  He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers. 

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  • Implementing Database Settings Using Policy Based Management

    - by Ashish Kumar Mehta
    Introduction Database Administrators have always had a tough time to ensuring that all the SQL Servers administered by them are configured according to the policies and standards of organization. Using SQL Server’s  Policy Based Management feature DBAs can now manage one or more instances of SQL Server 2008 and check for policy compliance issues. In this article we will utilize Policy Based Management (aka Declarative Management Framework or DMF) feature of SQL Server to implement and verify database settings on all production databases. It is best practice to enforce the below settings on each Production database. However, it can be tedious to go through each database and then check whether the below database settings are implemented across databases. In this article I will explain it to you how to utilize the Policy Based Management Feature of SQL Server 2008 to create a policy to verify these settings on all databases and in cases of non-complaince how to bring them back into complaince. Database setting to enforce on each user database : Auto Close and Auto Shrink Properties of database set to False Auto Create Statistics and Auto Update Statistics set to True Compatibility Level of all the user database set as 100 Page Verify set as CHECKSUM Recovery Model of all user database set to Full Restrict Access set as MULTI_USER Configure a Policy to Verify Database Settings 1. Connect to SQL Server 2008 Instance using SQL Server Management Studio 2. In the Object Explorer, Click on Management > Policy Management and you will be able to see Policies, Conditions & Facets as child nodes 3. Right click Policies and then select New Policy…. from the drop down list as shown in the snippet below to open the  Create New Policy Popup window. 4. In the Create New Policy popup window you need to provide the name of the policy as “Implementing and Verify Database Settings for Production Databases” and then click the drop down list under Check Condition. As highlighted in the snippet below click on the New Condition… option to open up the Create New Condition window. 5. In the Create New Condition popup window you need to provide the name of the condition as “Verify and Change Database Settings”. In the Facet drop down list you need to choose the Facet as Database Options as shown in the snippet below. Under Expression you need to select Field value as @AutoClose and then choose Operator value as ‘ = ‘ and finally choose Value as False. Now that you have successfully added the first field you can now go ahead and add rest of the fields as shown in the snippet below. Once you have successfully added all the above shown fields of Database Options Facet, click OK to save the changes and to return to the parent Create New Policy – Implementing and Verify Database Settings for Production Database windows where you will see that the newly created condition “Verify and Change Database Settings” is selected by default. Continues…

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  • SQL SERVER – Shard No More – An Innovative Look at Distributed Peer-to-peer SQL Database

    - by pinaldave
    There is no doubt that SQL databases play an important role in modern applications. In an ideal world, a single database can handle hundreds of incoming connections from multiple clients and scale to accommodate the related transactions. However the world is not ideal and databases are often a cause of major headaches when applications need to scale to accommodate more connections, transactions, or both. In order to overcome scaling issues, application developers often resort to administrative acrobatics, also known as database sharding. Sharding helps to improve application performance and throughput by splitting the database into two or more shards. Unfortunately, this practice also requires application developers to code transactional consistency into their applications. Getting transactional consistency across multiple SQL database shards can prove to be very difficult. Sharding requires developers to think about things like rollbacks, constraints, and referential integrity across tables within their applications when these types of concerns are best handled by the database. It also makes other common operations such as joins, searches, and memory management very difficult. In short, the very solution implemented to overcome throughput issues becomes a bottleneck in and of itself. What if database sharding was no longer required to scale your application? Let me explain. For the past several months I have been following and writing about NuoDB, a hot new SQL database technology out of Cambridge, MA. NuoDB is officially out of beta and they have recently released their first release candidate so I decided to dig into the database in a little more detail. Their architecture is very interesting and exciting because it completely eliminates the need to shard a database to achieve higher throughput. Each NuoDB database consists of at least three or more processes that enable a single database to run across multiple hosts. These processes include a Broker, a Transaction Engine and a Storage Manager.  Brokers are responsible for connecting client applications to Transaction Engines and maintain a global view of the network to keep track of the multiple Transaction Engines available at any time. Transaction Engines are in-memory processes that client applications connect to for processing SQL transactions. Storage Managers are responsible for persisting data to disk and serving up records to the Transaction Managers if they don’t exist in memory. The secret to NuoDB’s approach to solving the sharding problem is that it is a truly distributed, peer-to-peer, SQL database. Each of its processes can be deployed across multiple hosts. When client applications need to connect to a Transaction Engine, the Broker will automatically route the request to the most available process. Since multiple Transaction Engines and Storage Managers running across multiple host machines represent a single logical database, you never have to resort to sharding to get the throughput your application requires. NuoDB is a new pioneer in the SQL database world. They are making database scalability simple by eliminating the need for acrobatics such as sharding, and they are also making general administration of the database simpler as well.  Their distributed database appears to you as a user like a single SQL Server database.  With their RC1 release they have also provided a web based administrative console that they call NuoConsole. This tool makes it extremely easy to deploy and manage NuoDB processes across one or multiple hosts with the click of a mouse button. See for yourself by downloading NuoDB here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: CodeProject, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology Tagged: NuoDB

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  • Use BGInfo to Build a Database of System Information of Your Network Computers

    - by Sysadmin Geek
    One of the more popular tools of the Sysinternals suite among system administrators is BGInfo which tacks real-time system information to your desktop wallpaper when you first login. For obvious reasons, having information such as system memory, available hard drive space and system up time (among others) right in front of you is very convenient when you are managing several systems. A little known feature about this handy utility is the ability to have system information automatically saved to a SQL database or some other data file. With a few minutes of setup work you can easily configure BGInfo to record system information of all your network computers in a centralized storage location. You can then use this data to monitor or report on these systems however you see fit. BGInfo Setup If you are familiar with BGInfo, you can skip this section. However, if you have never used this tool, it takes just a few minutes to setup in order to capture the data you are looking for. When you first open BGInfo, a timer will be counting down in the upper right corner. Click the countdown button to keep the interface up so we can edit the settings. Now edit the information you want to capture from the available fields on the right. Since all the output will be redirected to a central location, don’t worry about configuring the layout or formatting. Configuring the Storage Database BGInfo supports the ability to store information in several database formats: SQL Server Database, Access Database, Excel and Text File. To configure this option, open File > Database. Using a Text File The simplest, and perhaps most practical, option is to store the BGInfo data in a comma separated text file. This format allows for the file to be opened in Excel or imported into a database. To use a text file or any other file system type (Excel or MS Access), simply provide the UNC to the respective file. The account running the task to write to this file will need read/write access to both the share and NTFS file permissions. When using a text file, the only option is to have BGInfo create a new entry each time the capture process is run which will add a new line to the respective CSV text file. Using a SQL Database If you prefer to have the data dropped straight into a SQL Server database, BGInfo support this as well. This requires a bit of additional configuration, but overall it is very easy. The first step is to create a database where the information will be stored. Additionally, you will want to create a user account to fill data into this table (and this table only). For your convenience, this script creates a new database and user account (run this as Administrator on your SQL Server machine): @SET Server=%ComputerName%.@SET Database=BGInfo@SET UserName=BGInfo@SET Password=passwordSQLCMD -S “%Server%” -E -Q “Create Database [%Database%]“SQLCMD -S “%Server%” -E -Q “Create Login [%UserName%] With Password=N’%Password%’, DEFAULT_DATABASE=[%Database%], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF”SQLCMD -S “%Server%” -E -d “%Database%” -Q “Create User [%UserName%] For Login [%UserName%]“SQLCMD -S “%Server%” -E -d “%Database%” -Q “EXEC sp_addrolemember N’db_owner’, N’%UserName%’” Note the SQL user account must have ‘db_owner’ permissions on the database in order for BGInfo to work correctly. This is why you should have a SQL user account specifically for this database. Next, configure BGInfo to connect to this database by clicking on the SQL button. Fill out the connection properties according to your database settings. Select the option of whether or not to only have one entry per computer or keep a history of each system. The data will then be dropped directly into a table named “BGInfoTable” in the respective database.   Configure User Desktop Options While the primary function of BGInfo is to alter the user’s desktop by adding system info as part of the wallpaper, for our use here we want to leave the user’s wallpaper alone so this process runs without altering any of the user’s settings. Click the Desktops button. Configure the Wallpaper modifications to not alter anything.   Preparing the Deployment Now we are all set for deploying the configuration to the individual machines so we can start capturing the system data. If you have not done so already, click the Apply button to create the first entry in your data repository. If all is configured correctly, you should be able to open your data file or database and see the entry for the respective machine. Now click the File > Save As menu option and save the configuration as “BGInfoCapture.bgi”.   Deploying to Client Machines Deployment to the respective client machines is pretty straightforward. No installation is required as you just need to copy the BGInfo.exe and the BGInfoCapture.bgi to each machine and place them in the same directory. Once in place, just run the command: BGInfo.exe BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt Of course, you probably want to schedule the capture process to run on a schedule. This command creates a Scheduled Task to run the capture process at 8 AM every morning and assumes you copied the required files to the root of your C drive: SCHTASKS /Create /SC DAILY /ST 08:00 /TN “System Info” /TR “C:\BGInfo.exe C:\BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt” Adjust as needed, but the end result is the scheduled task command should look something like this:   Download BGInfo from Sysinternals Latest Features How-To Geek ETC How To Create Your Own Custom ASCII Art from Any Image How To Process Camera Raw Without Paying for Adobe Photoshop How Do You Block Annoying Text Message (SMS) Spam? How to Use and Master the Notoriously Difficult Pen Tool in Photoshop HTG Explains: What Are the Differences Between All Those Audio Formats? 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  • Rapid Repository – Silverlight Development

    - by SeanMcAlinden
    Hi All, One of the questions I was recently asked was whether the Rapid Repository would work for normal Silverlight development as well as for the Windows 7 Phone. I can confirm that the current code in the trunk will definitely work for both the Windows 7 Phone and normal Silverlight development. I haven’t tested V.1.0 for compatibility but V2.0 which will be released fairly soon will work absolutely fine.   Kind Regards, Sean McAlinden.

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  • Need a solution to store images (1 billion, 1000,000,000) which users will upload to a website via php or javascript upload [on hold]

    - by wish_you_all_peace
    I need a solution to store images (1 billion) which users will upload to a website via PHP or Javascript upload (website will have 1 billion page views a month using Linux Debian distros) assuming 20 photos per user maximum (10 thumbnails of size 90px by 90px and 10 large, script resized images of having maximum width 500px or maximum height 500px depending on shape of image, meaning square, rectangle, horizontal, vertical etc). Assume this to be a LEMP-stack (Linux Nginx MySQL PHP) social-media or social-matchmaking type application whose content will be text and images. Since everyone knows storing tons of images (website users uploaded images in this case) are bad inside a single directory or NFS etc, please explain all the details about the architecture and configuration of the entire setup of storage solution, to store 1 billion images on any method you recommend (no third-party cloud storage like S3 etc. It has to be within the private data center using our own hardware and resources.). The solution has to include both the storage solution and organizing the images uploaded by users. How will we organize the users images if a single user will not have more than 20 images (10 thumbs and 10 large of having either width or height 500px)? Please consider that this has to be organized in a structural way so we can fetch a single user's images via PHP/Javascript or API programmatically through some type of user's unique identifier(s).

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  • MySQL per-database replication?

    - by LucasBr
    So, my problem is interesting: we want to migrate from one server to another. We made a master-slave replication, but my boss came with the idea to make migration one database at a time. So he asked me to setup at the new server another MySQL instance, let the slave almost as-is and make the new instance be the new master incrementally, one database at a time. Is it possible, that is, can I transfer the database 'x' from old master to new master and just tell slave to synchronize 'x' at the new master from now on? I've read at this old thread ( Mysql Replication - are per-database threads possible? ) that this was not possible at that time. This can be done now? Thanks! Lucas Bracher.

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  • Sessions I Submitted to the PASS Summit 2010

    - by andyleonard
    Introduction I'm borrowing an idea and blog post title from Brent Ozar ( Blog - @BrentO ). I am honored the PASS Summit 2010 (Seattle, 8 - 11 Nov 2010) would consider allowing me to present. It's a truly awesome event. If you have an opportunity to attend and read this blog, please find me and introduce yourself. If you've built a cool solution to a business or technical problem; or written a script - or a bunch of scripts - to automate part of your daily / weekly / monthly routine; or have some...(read more)

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  • Quickly revert an Oracle Database to a known state

    - by Anthony
    I would like to use Selenium to test a web application but in order to do that successfully the tests must be run against a database at a known state. The recording and running of the Selenium tests is not within the scope of this website so I'm only looking for recommendations on how best to revert the database after each test execution. Some details: current database size is 30GB however only about 4GB needs to be reverted database is Oracle 11g Standard Edition running on Windows Server 2003 the data in 6 different schemas needs to be reverted Ideally the process should be scripted so that it can be re-executed frequently and automatically via a scheduled task.

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  • Should I move to an Azure database?

    - by Mike Flynn
    I am currently using a database from an installed instance on my web server in a VM on Azure. I was thinking about moving it to an actual Azure Database so I could load balance the web server. Does the Azure database work the same way as a straight install? Will it cost more or the same since I am just moving to a new server? Basically looking for advantages and disadvantages. I am familiar with SQL Server Management Studio.

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