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• Data Model Evolution

  - by redleafong

  Hey guys, When writing code I am seeing requirements to change data models (e.g. adding/changing/removing data members from a class). When these data models belong to an interface, it seems difficult to change without breaking the existing client codes. So I am wondering if there is any best practice of designing interfaces/data models in a way to minimize the impact during evolution. The closest thing I can find from google is data contract versioning. But that seems to be a .net specific topic. I am wondering if the same practice applies to the Java world, or there is a different or generic way to deal with data model evolution. Thanks

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• Estimating the boundary of arbitrarily distributed data

  - by Dave

  I have two dimensional discrete spatial data. I would like to make an approximation of the spatial boundaries of this data so that I can produce a plot with another dataset on top of it. Ideally, this would be an ordered set of (x,y) points that matplotlib can plot with the plt.Polygon() patch. My initial attempt is very inelegant: I place a fine grid over the data, and where data is found in a cell, a square matplotlib patch is created of that cell. The resolution of the boundary thus depends on the sampling frequency of the grid. Here is an example, where the grey region are the cells containing data, black where no data exists. OK, problem solved - why am I still here? Well.... I'd like a more "elegant" solution, or at least one that is faster (ie. I don't want to get on with "real" work, I'd like to have some fun with this!). The best way I can think of is a ray-tracing approach - eg: from xmin to xmax, at y=ymin, check if data boundary crossed in intervals dx y=ymin+dy, do 1 do 1-2, but now sample in y An alternative is defining a centre, and sampling in r-theta space - ie radial spokes in dtheta increments. Both would produce a set of (x,y) points, but then how do I order/link neighbouring points them to create the boundary? A nearest neighbour approach is not appropriate as, for example (to borrow from Geography), an isthmus (think of Panama connecting N&S America) could then close off and isolate regions. This also might not deal very well with the holes seen in the data, which I would like to represent as a different plt.Polygon. The solution perhaps comes from solving an area maximisation problem. For a set of points defining the data limits, what is the maximum contiguous area contained within those points To form the enclosed area, what are the neighbouring points for the nth point? How will the holes be treated in this scheme - is this erring into topology now? Apologies, much of this is me thinking out loud. I'd be grateful for some hints, suggestions or solutions. I suspect this is an oft-studied problem with many solution techniques, but I'm looking for something simple to code and quick to run... I guess everyone is, really! Cheers, David

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• ASP.Net 4.0 Database Created Pages

  - by Tyler

  I want to create asp.net 4.0 dynamic pages loaded from my MS SQL server. Basically, its a list of locations with informations. For example: Location1 would have the page www.site.com/location/location1.aspx Location44 would have the page www.site.com/location/location44.aspx I dont even know where to start with this, url writting maybe?

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• Entity data field validation and part data submission

  - by pradeeptp

  I have an entity class that has 10 fields. I am using MS Validation Application block to mark all fields as mandatory (IsRequired). I am implementing a securiy feature in which during updation of the data, not all the fields in the entity class will have data. For example a few users can only view 5 fileds while others all 10 fields during updation on GUI I have the following options 1) Bring all the data for all the fields from the DB table and hide the ones not accessible to the users in GUI. I am concerned about the performance because everytime GUI will pull unncessary data. 2) Bring the data (e.g. only 5 fields) that are permissible for access/view by the user on GUI. During submit, validation block will throw exception because all fields are marked as IsRequired and only data for 5 fields are sent back to the server. I want to know if there are any other good approaches to solve problems like this. I am using .NET 3.5 Thanks.

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• Real-Time Data Streaming to Multiple Clients

  - by AriX

  Hi all, I would like to write an application which will stream data at 2400 baud over the internet from a server to multiple clients. The data will be the same for each client, and it would probably be fine to send it as a UDP stream, since exact data accuracy is not a 100% necessity, as there are checksums built-in to the data format and the data will be sent repeatedly on a loop. What is the best way to do this? I would want to write the server in C, but I don't know how to best multicast this data to the different clients that would be receiving it all over the country. I'm sure this seems like a pretty draconian way to go about my project, as opposed to just using some sort of fetch command, but I'd prefer to do it this way if possible.

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• How to Modify Data Security in Fusion Applications

  - by Elie Wazen

  The reference implementation in Fusion Applications is designed with built-in data security on business objects that implement the most common business practices.  For example, the “Sales Representative” job has the following two data security rules implemented on an “Opportunity” to restrict the list of Opportunities that are visible to an Sales Representative: Can view all the Opportunities where they are a member of the Opportunity Team Can view all the Opportunities where they are a resource of a territory in the Opportunity territory team While the above conditions may represent the most common access requirements of an Opportunity, some customers may have additional access constraints. This blog post explains: How to discover the data security implemented in Fusion Applications. How to customize data security Illustrative example. a.) How to discover seeded data security definitions The Security Reference Manuals explain the Function and Data Security implemented on each job role.  Security Reference Manuals are available on Oracle Enterprise Repository for Oracle Fusion Applications. The following is a snap shot of the security documented for the “Sales Representative” Job. The two data security policies define the list of Opportunities a Sales Representative can view. Here is a sample of data security policies on an Opportunity. Business Object Policy Description Policy Store Implementation Opportunity A Sales Representative can view opportunity where they are a territory resource in the opportunity territory team Role: Opportunity Territory Resource Duty Privilege: View Opportunity (Data) Resource: Opportunity A Sales Representative can view opportunity where they are an opportunity sales team member with view, edit, or full access Role: Opportunity Sales Representative Duty Privilege: View Opportunity (Data) Resource: Opportunity Description of Columns Column Name Description Policy Description Explains the data filters that are implemented as a SQL Where Clause in a Data Security Grant Policy Store Implementation Provides the implementation details of the Data Security Grant for this policy. In this example the Opportunities listed for a “Sales Representative” job role are derived from a combination of two grants defined on two separate duty roles at are inherited by the Sales Representative job role. b.) How to customize data security Requirement 1: Opportunities should be viewed only by members of the opportunity team and not by all the members of all the territories on the opportunity. Solution: Remove the role “Opportunity Territory Resource Duty” from the hierarchy of the “Sales Representative” job role. Best Practice: Do not modify the seeded role hierarchy. Create a custom “Sales Representative” job role and build the role hierarchy with the seeded duty roles. Requirement 2: Opportunities must be more restrictive based on a custom attribute that identifies if a Opportunity is confidential or not. Confidential Opportunities must be visible only the owner of the Opportunity. Solution: Modify the (2) data security policy in the above example as follows: A Sales Representative can view opportunity where they are a territory resource in the opportunity territory team and the opportunity is not confidential. Implementation of this policy is more invasive. The seeded SQL where clause of the data security grant on “Opportunity Territory Resource Duty” has to be modified and the condition that checks for the confidential flag must be added. Best Practice: Do not modify the seeded grant. Create a new grant with the modified condition. End Date the seeded grant. c.) Illustrative Example (Implementing Requirement 2) A data security policy contains the following components: Role Object Instance Set Action Of the above four components, the Role and Instance Set are the only components that are customizable. Object and Actions for that object are seed data and cannot be modified. To customize a seeded policy, “A Sales Representative can view opportunity where they are a territory resource in the opportunity territory team”, Find the seeded policy Identify the Role, Object, Instance Set and Action components of the policy Create a new custom instance set based on the seeded instance set. End Date the seeded policies Create a new data security policy with custom instance set c-1: Find the seeded policy Step 1: 1. Find the Role 2. Open 3. Find Policies Step 2: Click on the Data Security Tab Sort by “Resource Name” Find all the policies with the “Condition” as “where they are a territory resource in the opportunity territory team” In this example, we can see there are 5 policies for “Opportunity Territory Resource Duty” on Opportunity object. Step 3: Now that we know the policy details, we need to create new instance set with the custom condition. All instance sets are linked to the object. Find the object using global search option. Open it and click on “condition” tab Sort by Display name Find the Instance set Edit the instance set and copy the “SQL Predicate” to a notepad. Create a new instance set with the modified SQL Predicate from above by clicking on the icon as shown below. Step 4: End date the seeded data security policies on the duty role and create new policies with your custom instance set. Repeat the navigation in step Edit each of the 5 policies and end date them 3. Create new custom policies with the same information as the seeded policies in the “General Information”, “Roles” and “Action” tabs. 4. In the “Rules” tab, please pick the new instance set that was created in Step 3.

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• Workaround for datadude deployment bug - NullReferenceException

  - by jamiet

  I have come across a bug in Visual Studio 2010 Database Projects (aka datadude aka DPro aka Visual Studio Database Development Tools aka Visual Studio Team Edition for Database Professionals aka Juneau aka SQL Server Data Tools) that other people may encounter so, for the purposes of googling, I'm writing this blog post about it. Through my own googling I discovered that a Connect bug had already been raised about it (VS2010 Database project deploy - “SqlDeployTask” task failed unexpectedly, NullReferenceException), and coincidentally enough it was raised by my former colleague Tom Hunter (whom I have mentioned here before as the superhuman Tom Hunter) although it has not (at this time) received a reply from Microsoft. Tom provided a repro, namely that this syntactically valid function definition: CREATE FUNCTION [dbo].[Function1]()RETURNS TABLEASRETURN (    WITH cte AS (    SELECT 1 AS [c1]    FROM [$(Database3)].[dbo].[Table1]   )   SELECT 1 AS [c1]   FROM cte) would produce this nasty unhelpful error upon deployment: C:\Program Files (x86)\MSBuild\Microsoft\VisualStudio\v10.0\TeamData\Microsoft.Data.Schema.TSqlTasks.targets(120,5): Error MSB4018: The "SqlDeployTask" task failed unexpectedly.System.NullReferenceException: Object reference not set to an instance of an object.   at Microsoft.Data.Schema.Sql.SchemaModel.SqlModelComparerBase.VariableSubstitution(SqlScriptProperty propertyValue, IDictionary`2 variables, Boolean& isChanged)   at Microsoft.Data.Schema.Sql.SchemaModel.SqlModelComparerBase.ArePropertiesEqual(IModelElement source, IModelElement target, ModelPropertyClass propertyClass, ModelComparerConfiguration configuration)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareProperties(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareChildren(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareParentElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes, Boolean isComposing)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareChildren(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareParentElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes, Boolean isComposing)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithoutCompareName(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, ModelComparisonResult result, ModelComparisonChangeDefinition changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareElementsWithSameType(IModelElement sourceElement, IModelElement targetElement, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean ignoreComparingName, Boolean parentExplicitlyIncluded, Boolean compareElementOnly, Boolean compareFromRootElement, ModelComparisonChangeDefinition& changes)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareAllElementsForOneType(ModelElementClass type, ModelComparerConfiguration configuration, ModelComparisonResult result, Boolean compareOrphanedElements)   at Microsoft.Data.Schema.SchemaModel.ModelComparer.CompareStore(ModelStore source, ModelStore target, ModelComparerConfiguration configuration)   at Microsoft.Data.Schema.Build.SchemaDeployment.CompareModels()   at Microsoft.Data.Schema.Build.SchemaDeployment.PrepareBuildPlan()   at Microsoft.Data.Schema.Build.SchemaDeployment.Execute(Boolean executeDeployment)   at Microsoft.Data.Schema.Build.SchemaDeployment.Execute()   at Microsoft.Data.Schema.Tasks.DBDeployTask.Execute()   at Microsoft.Build.BackEnd.TaskExecutionHost.Microsoft.Build.BackEnd.ITaskExecutionHost.Execute()   at Microsoft.Build.BackEnd.TaskBuilder.ExecuteInstantiatedTask(ITaskExecutionHost taskExecutionHost, TaskLoggingContext taskLoggingContext, TaskHost taskHost, ItemBucket bucket, TaskExecutionMode howToExecuteTask, Boolean& taskResult)   Done executing task "SqlDeployTask" -- FAILED.  Done building target "DspDeploy" in project "Lloyds.UKTax.DB.UKtax.dbproj" -- FAILED. Done executing task "CallTarget" -- FAILED.Done building target "DBDeploy" in project It turns out there are a certain set of circumstances that need to be met for this error to occur: The object being deployed is an inline function  (may also exist for multistatement and scalar functions - I haven't tested that) That object includes SQLCMD variable references The object has already been deployed successfully Just to reiterate that last bullet point, the error does not occur when you deploy the function for the first time, only on the subsequent deployment.   Luckily I have a direct line into a guy on the development team so I fired off an email on Friday evening and today (Monday) I received a reply back telling me that there is a simple fix, one simply has to remove the parentheses that wrap the SQL statement. So, in the case of Tom's repro, the function definition simpy has to be changed to: CREATE FUNCTION [dbo].[Function1]()RETURNS TABLEASRETURN --(    WITH cte AS (    SELECT 1 AS [c1]    FROM [$(Database3)].[dbo].[Table1]   )   SELECT 1 AS [c1]   FROM cte--) I have commented out the offending parentheses rather than removing them just to emphasize the point. Thereafter the function will deploy fine. I tested this out on my own project this morning and can confirm that this fix does indeed work.   I have been told that the bug CAN be reproduced in the Release Candidate (RC) 0 build of SQL Server Data Tools in SQL Server 2010 so am hoping that a fix makes it in for the Release-To-Manufacturing (RTM) build. Hope this helps @jamiet

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• Talend Enterprise Data Integration overperforms on Oracle SPARC T4

  - by Amir Javanshir

  The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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• Maximize Performance and Availability with Oracle Data Integration

  - by Tanu Sood

  Normal 0 false false false EN-US X-NONE 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-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-fareast-font-family:Calibri; mso-bidi-font-family:"Times New Roman";} Alert: Oracle is hosting the 12c Launch Webcast for Oracle Data Integration and Oracle Golden Gate on Tuesday, November 12 (tomorrow) to discuss the new capabilities in detail and share customer perspectives. Hear directly from customer experts and executives from SolarWorld Industries America, British Telecom and Rittman Mead and get your questions answered live by product experts. Register for this complimentary webcast today and join in the discussion tomorrow. Author: Irem Radzik, Senior Principal Product Director, Oracle Organizations that want to use IT as a strategic point of differentiation prefer Oracle’s complete application offering to drive better business performance and optimize their IT investments. These enterprise applications are in the center of business operations and they contain critical data that needs to be accessed continuously, as well as analyzed and acted upon in a timely manner. These systems also need to operate with high-performance and availability, which means analytical functions should not degrade applications performance, and even system maintenance and upgrades should not interrupt availability. Oracle’s data integration products, Oracle Data Integrator, Oracle GoldenGate, and Oracle Enterprise Data Quality, provide the core foundation for bringing data from various business-critical systems to gain a broader, unified view. As a more advance offering to 3rd party products, Oracle’s data integration products facilitate real-time reporting for Oracle Applications without impacting application performance, and provide ability to upgrade and maintain the system without taking downtime. Oracle GoldenGate is certified for Oracle Applications, including E-Business Suite, Siebel CRM, PeopleSoft, and JD Edwards, for moving transactional data in real-time to a dedicated operational reporting environment. This solution allows the app users to offload the resource-heavy queries to the reporting instance(s), reducing CPU utilization, improving OLTP performance, and extending the lifetime of existing IT assets. In addition, having a dedicated reporting instance with up-to-the-second transactional data allows optimizing the reporting environment and even decreasing costs as GoldenGate can move only the required data from expensive mainframe environments to cost-efficient open system platforms.  With real-time data replication capabilities GoldenGate is also certified to enable application upgrades and database/hardware/OS migration without impacting business operations. GoldenGate is certified for Siebel CRM, Communications Billing and Revenue Management and JD Edwards for supporting zero downtime upgrades to the latest app version. GoldenGate synchronizes a parallel, upgraded system with the old version in real time, thus enables continuous operations during the process. Oracle GoldenGate is also certified for minimal downtime database migrations for Oracle E-Business Suite and other key applications. GoldenGate’s solution also minimizes the risk by offering a failback option after the switchover to the new environment. Furthermore, Oracle GoldenGate’s bidirectional active-active data replication is certified for Oracle ATG Web Commerce to enable geographically load balancing and high availability for ATG customers. For enabling better business insight, Oracle Data Integration products power Oracle BI Applications with high performance bulk and real-time data integration. Oracle Data Integrator (ODI) is embedded in Oracle BI Applications version 11.1.1.7.1 and helps to integrate data end-to-end across the full BI Applications architecture, supporting capabilities such as data-lineage, which helps business users identify report-to-source capabilities. ODI is integrated with Oracle GoldenGate and provides Oracle BI Applications customers the option to use real-time transactional data in analytics, and do so non-intrusively. By using Oracle GoldenGate with the latest release of Oracle BI Applications, organizations not only leverage fresh data in analytics, but also eliminate the need for an ETL batch window and minimize the impact on OLTP systems. You can learn more about Oracle Data Integration products latest 12c version in our upcoming launch webcast and access the app-specific free resources in the new Data Integration for Oracle Applications Resource Center.

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• Data Source Security Part 2

  - by Steve Felts

  In Part 1, I introduced the default security behavior and listed the various options available to change that behavior.  One of the key topics to understand is the difference between directly using database user and password values versus mapping from WLS user and password to the associated database values.   The direct use of database credentials is relatively new to WLS, based on customer feedback.  Some of the trade-offs are covered in this article. Credential Mapping vs. Database Credentials Each WLS data source has a credential map that is a mechanism used to map a key, in this case a WLS user, to security credentials (user and password).  By default, when a user and password are specified when getting a connection, they are treated as credentials for a WLS user, validated, and are converted to a database user and password using a credential map associated with the data source.  If a matching entry is not found in the credential map for the data source, then the user and password associated with the data source definition are used.  Because of this defaulting mechanism, you should be careful what permissions are granted to the default user.  Alternatively, you can define an invalid default user to ensure that no one can accidentally get through (in this case, you would need to set the initial capacity for the pool to zero so that the pool is populated only by valid users). To create an entry in the credential map: 1) First create a WLS user.  In the administration console, go to Security realms, select your realm (e.g., myrealm), select Users, and select New.  2) Second, create the mapping.  In the administration console, go to Services, select Data sources, select your data source name, select Security, select Credentials, and select New.  See http://docs.oracle.com/cd/E24329_01/apirefs.1211/e24401/taskhelp/jdbc/jdbc_datasources/ConfigureCredentialMappingForADataSource.html for more information. The advantages of using the credential mapping are that: 1) You don’t hard-code the database user/password into a program or need to prompt for it in addition to the WLS user/password and 2) It provides a layer of abstraction between WLS security and database settings such that many WLS identities can be mapped to a smaller set of DB identities, thereby only requiring middle-tier configuration updates when WLS users are added/removed. You can cut down the number of users that have access to a data source to reduce the user maintenance overhead.  For example, suppose that a servlet has the one pre-defined, special WLS user/password for data source access, hard-wired in its code in a getConnection(user, password) call.  Every WebLogic user can reap the specific DBMS access coded into the servlet, but none has to have general access to the data source.  For instance, there may be a ‘Sales’ DBMS which needs to be protected from unauthorized eyes, but it contains some day-to-day data that everyone needs. The Sales data source is configured with restricted access and a servlet is built that hard-wires the specific data source access credentials in its connection request.  It uses that connection to deliver only the generally needed day-to-day information to any caller. The servlet cannot reveal any other data, and no WebLogic user can get any other access to the data source.  This is the approach that many large applications take and is the reasoning behind the default mapping behavior in WLS. The disadvantages of using the credential map are that: 1) It is difficult to manage (create, update, delete) with a large number of users; it is possible to use WLST scripts or a custom JMX client utility to manage credential map entries. 2) You can’t share a credential map between data sources so they must be duplicated. Some applications prefer not to use the credential map.  Instead, the credentials passed to getConnection(user, password) should be treated as database credentials and used to authenticate with the database for the connection, avoiding going through the credential map.  This is enabled by setting the “use-database-credentials” to true.  See http://docs.oracle.com/cd/E24329_01/apirefs.1211/e24401/taskhelp/jdbc/jdbc_datasources/ConfigureOracleParameters.html "Configure Oracle parameters" in Oracle WebLogic Server Administration Console Help. Use Database Credentials is not currently supported for Multi Data Source configurations.  When enabled, it turns off credential mapping on Generic and Active GridLink data sources for the following attributes: 1. identity-based-connection-pooling-enabled (this interaction is available by patch in 10.3.6.0). 2. oracle-proxy-session (this interaction is first available in 10.3.6.0). 3. set client identifier (this interaction is available by patch in 10.3.6.0).  Note that in the data source schema, the set client identifier feature is poorly named “credential-mapping-enabled”.  The documentation and the console refer to it as Set Client Identifier. To review the behavior of credential mapping and using database credentials: - If using the credential map, there needs to be a mapping for each WLS user to database user for those users that will have access to the database; otherwise the default user for the data source will be used.  If you always specify a user/password when getting a connection, you only need credential map entries for those specific users. - If using database credentials without specifying a user/password, the default user and password in the data source descriptor are always used.  If you specify a user/password when getting a connection, that user will be used for the credentials.  WLS users are not involved at all in the data source connection process.

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• TeamCity and pending Git merge branch commit keeps build with failed tests

  - by Vladimir

  We use TeamCity for continuous integration and Git for source control. Generally it works pretty well - convenient, modern and good us quick feedback when tests fails. There is a strange behavior related to Git merge specifics. Here are steps of the case: First developer pulls from master repo. Second developer pulls from master repo. First developer makes commit A locally. Second developer makes commit B locally; Second developer pushes commit B. First developer want to push commit A but unable because he have to pull commit B first. First developer pull's from remote reposity. First developer pushes commit A and generated merge branch commit. The history of commits in master repo is following: B second developer A first developer merge branch first developer. Now let's assume that Second Developer fixed some failing tests in his commit B. What TeamCity will do is following: Commit B arrives - TeamCity makes build #1 with all tests passed Commit A arrives - TeamCity makes build #2 (without commit B) test bar becomes Red! TeamCity thought that Pending "Merge Branch" commit doesn't contain any changes (any new files) - but it actually does contain the merge of commit B, so the TeamCity don't want to make new build here and make tests green. Here are two problems: 1. In our case we have failed tests returning back in second commit (commit A) 2. TeamCity don't want to make a new build and make tests back green. Does anybody know how to fix both of this problems. I consider some reasonable general approach.

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• Need deleted data back from Pen Drive, Please help

  - by Manav Sharma

  All, I am using a Pendrive to transfer files from one system to another. I think I deleted some files from the Pendrive that I now need back. Also, there are chances that I might have overwritten the memory where the deleted data might have existed. Is there any software to do something about that? I understand that logically whatever is overwritten in memory cannot to fetched back. But still I need to trust the advances in the technology. Any help is appreciated. Thanks

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• best data+partition recovery software

  - by Pennf0lio

  I accidentally formatted my Drive D that contained all my Backups and Documents. I separated my files to my Drive D hoping I will not harm my files. Since I use Acronis Recovery to Install a new OS with some pre-installed application to my HDD I didn't realize I also formated/erase my Drive D. Now my drive D is unpartitioned. I am really in really in deep trouble and would need some urgent help, Please recommend a Software that at least can restore my Old Drive that contained my files. I'm assuming most of you think this is a duplicate of some old questions here, But I'm not looking for data recovery, I need to recover the whole partition with the files. I used to use "Recuva" but It only recovers files not the whole folders with the files in it. Please advice. Thank You!

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• Data Validation of a Comma Delimited List

  - by Brad

  I need a simple way of taking a comma seperated list in a cell, and providing a drop down box to select one of them. For Example, the cell could contain: 24, 32, 40, 48, 56, 64 And in a further cell, using Data Validation, I want to provide a drop-down list to select ONE of those values I need to do this without VBA or Macros please. Apolgies, I want this to work with Excel 2010 and later. I have been playing around with counting the number of commas in the list and then trying to split this into a number of rows of single numbers etc with no joy yet.

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• Excel Macro Help - Data Input

  - by B-Ballerl

  I'm want to develop a macro where in my excel worksheet I type a date in a specific cell, and the macro will go into a folder containing text files. A database you could say. I want it to find the corresponding file name which is written as a date, put the data through a delimeter, and paste into the cells directly below where I orginally put the date. I'm very new with Macro's so if you must answer try to be a little more simple than you might usually be. Thanks In Advance if anyone can Help!!

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• Data unaccessible from WHS drive

  - by Eakraly

  Hi all, I had a Windows Home server machine that crashed. Before doing anything I decided to get data out of it. So I took the hard drive and connected it to Windows7 pc. What I get is that I cannot access almost any file! I do see directory structure, I can open small files like .txt and .ini but bigger files like .iso and video - no go. Same goes for Ubuntu and OS X - I can see files and even copy them - but they are corrupted. Any ideas for what the problem is?

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• Data unaccessible from WHS drive

  - by Eakraly

  Hi all, I had a Windows Home server machine that crashed. Before doing anything I decided to get data out of it. So I took the hard drive and connected it to Windows7 pc. What I get is that I cannot access almost any file! I do see directory structure, I can open small files like .txt and .ini but bigger files like .iso and video - no go. Same goes for Ubuntu and OS X - I can see files and even copy them - but they are corrupted. Any ideas for what the problem is?

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• Recovering data from a Silicon Image SiI3114 RAID

  - by Isaac Truett

  I have a set of 3 disks in RAID 5 originally created with a Silicon Image SiI3114 on-board RAID controller. The old motherboard is dead. The new motherboard (which has a different raid controller) won't boot from the array. I have no reason to believe that the drives are damaged or corrupted. I'm 99% sure that the problem is that the new controller isn't compatible or I'm not setting it up properly. Is it possible to recover data from the drives using a different controller? Would a PCI card like this one allow me to read from the array again?

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• how to recover data from my disk - I accidentally copied with dd an iso on it

  - by sijoune

  I wanted to create a bootable usb from an iso image and i accidentally put as the output of the dd, instead of my usb drive, one of my hard disks. The iso was 3,3 GB and my disk is 1TB! And it was almost full. Can i at least restore the data that has not been overwritten? Right now i can't even mount it. I get this error: Error mounting /dev/sdd1 at /media/main/UDF Volume: Command-line `mount -t "udf" -o "uhelper=udisks2,nodev,nosuid,uid=1000,gid=1000,iocharset=utf8,umask=0077" "/dev/sdd1" "/media/main/UDF Volume"' exited with non-zero exit status 32: mount: wrong fs type, bad option, bad superblock on /dev/sdd1, missing codepage or helper program, or other error In some cases useful info is found in syslog - try dmesg | tail or so Also since i know which filesystem my disk used if i reformat it to this filesystem is there any chance i can mount it and retrieve the rest of the files?

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• SQLAuthority News – Download SQL Azure Labs Codename “Data Explorer” Client

  - by pinaldave

  Microsoft SQL Azure labs has recently released Data Explorer client. I was looking forward to visualizing tool for quite a while and I am delighted to see this tool. I will be trying out this tool in coming week and will post here my experience. I have listed few of the resources which are related to Data Explorer at the end. Please let me know if I have missed any and I will add the same. With “Data Explorer” you can: Identify the data you care about from the sources you work with (e.g. Excel spreadsheets, files, SQL Server databases). Discover relevant data and services via automatic recommendations from the Windows Azure Marketplace. Enrich your data by combining it and visualizing the results. Collaborate with your colleagues to refine the data. Publish the results to share them with others or power solutions. The Data Explorer Client package contains the Data Explorer workspace as well as an Office plugin that integrates Data Explorer into Excel. Resources: Download Data Explorer Data Explorer Blog Desktop Client Video of  Contoso Bikes and Frozen Yogurt (Data Explorer) Please note that this is not the final release of the product. Please do not attempt this on production server. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Azure, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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• Big Data for Retail

  - by David Dorf

  Right up there with mobile, social, and cloud is the term "big data," which seems to be popping up lots in the press these days.  Companies like Google, Yahoo, and Facebook have popularized a new class of data technologies meant to solve the problem of processing large amounts of data quickly.  I first mentioned this in a posting back in March 2009.  Put simply, big data implies datasets so large they can't normally be processed using a standard transactional database.  The term "noSQL" is often used in this context as well. Actually, using parallel processing within the Oracle database combined with Exadata can achieve impressive results.  Look for more from Oracle at OpenWorld as hinted by Jean-Pierre Dijcks. McKinsey recently released a report on big data in which retail was specifically mentioned as an industry that can benefit from the new technologies.  I won't rehash that report because my friend Rama already did such a good job in his posting, Impact of "Big Data" on Retail. The presentation below does a pretty good job of framing the problem, although it doesn't really get into the available technologies (e.g. Exadata, Hadoop, Cassandra, etc.) and isn't retail specific. Determine the Right Analytic Database: A Survey of New Data Technologies So when a retailer asks me about big data, here's what I say:  Big data refers to a set of technologies for processing large volumes of structured and unstructured data.  Imagine collecting everything uttered by your customers on Facebook and Twitter and combining it with all the data you can find about the products you sell (e.g. reviews, images, demonstration videos), including competitive data.  Assuming you could process all that data, you could then personalize offers to specific customers based on their tastes, ensure prices are competitive, and implement better local assortments.  It's really not that far off.

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• Data and Secularism

  - by kaleidoscope

  Ever since we’ve been using Data we’ve been religious. Religious about the way we represent it and equally religious about the way we access it. Be it plain old SQL, DAO, ADO, ADO.Net and I am just referring to religions in MSFT world. A peek outside and I’d need a separate book to list out the Data faiths. Various application areas in networked computing are converging under the HTTP umbrella with a plausible transition to purist HTTP and in turn REST fuelled by the Web2.0 storm. It was time the Data access faiths also gave up the religious silos wrapped around our long worshipped data publishing and access methods. OData is the secular solution we have at hand today. It is an open protocol for sharing data. It can be exposed via REST. It is Open as in the Microsoft Open Specification Promise. This allows virtually everyone to build Data Services for any runtime. OData is one of the key standards for Data publishing/subscribing on Microsoft Codename Dallas. For us .Netters OData data sources can be exposed/consumed via WCF Data Services and the process is very simple, elegant and intuitive. Applications exposing OData Services Sharepoint 2010 IBM Web Sphere Microsoft SQL Azure Windows Azure Table Storage SQL Server Reporting Services   Live OData Services Netflix Open Science Data Initiative Open Government Data Initiatives Northwind database exposed as OData Service and many others Some may prefer to call it commoditization of data, unification of data access strategies or any other sweet name. I for one will stick to my secular definition. :) Technorati Tags: Sarang,OData,MOSP

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• Can web apps allow fast data-typists to "type-ahead"?

  - by user61852

  In some data entry contexts, I've seen data typists, type really fast and know so well the app they use, and have a mechanic quality in their work so that they can "type ahead", ie continue typing and "tab-bing" and "enter-ing" faster than the display updates, so that in many occasions they are typing in the data for the next form before it draws itself. Then when this next entry form appears, their keystrokes fill the text boxes and they continue typing, selecting etc. In contexts like this, this speed is desirable, since this persons are really productive. I think this "type ahead of time" is only possible in desktop apps, but I may be wrong. My question is whether this way of handling the keyboard buffer (which in desktop apps require no extra programming) is achievable in web apps, or is this impossible because of the way web apps work, handle sessions, etc (network latency and the overhead of generating new web pages ) ? Edit: By "type ahead" I mean "keyboard type ahead" (typing faster than the next entry form can load), not suggets-as-you-type-like-google type ahead. Typeahead is a feature of computers and software (and some typewriters) that enables users to continue typing regardless of program or computer operation—the user may type in whatever speed he or she desires, and if the receiving software is busy at the time it will be called to handle this later. Often this means that keystrokes entered will not be displayed on the screen immediately. This programming technique for handling user what is known as a keyboard buffer.

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• How to migrate user settings and data to new machine?

  - by torbengb

  I'm new to Ubuntu and recently started using it on my PC. I'm going to replace that PC with a new machine. I want to transfer my data and settings to the nettop. What aspects should I consider? Obviously I want to move my data over. What things am I missing if I only copy the entire home folder? This is a home pc (not corporate) so user rights and other security issues are not a concern, except that the files should be accessible on the new machine! Please take into account that the new machine is a nettop that doesn't have an optical drive and doesn't allow me to hook the old SATA disk into it, so any data transfer must be handled via home network (I can have both the old and the new machine turned on and connected to the home LAN) and I have an USB thumbdrive with limited capacity (2GB). This sounds like it might limit the general applicability, but it would in fact make it more general. I'll make this a wiki topic because there could be several "right" answers. Update: Or so I thought. I don't see a choice for that.

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• What is the value to checking in broken unit tests?

  - by Adam W.

  While there are ways of keeping unit tests from being executed, what is the value of checking in broken unit tests? I will use a simple example. Case sensitivity. The current code is Case Sensitive. A valid input into the method is "Cat" and it would return an enum of Animal.Cat. However, the desired functionality of the method should not be case sensitive. So if the method described was passed "cat" it could possibly return something like Animal.Null instead of Animal.Cat and the unit test would fail. Though a simple code change would make this work, a more complex issue may take weeks to fix, but identifying the bug with a unit test could be a less complex task. The application currently being analyzed has 4 years of code that "works". However, recent discussions regarding unit tests has found flaws in the code. Some just need explicit implementation documentation (ex. case sensitive or not), or code that does not execute the bug based on how it is currently called. But unit tests can be created executing specific scenarios that will cause the bug to be seen and are valid inputs. What is the value of checking in unit tests that exercise the bug until someone can get around to fixing the code? Should this unit test be flagged with ignore, priority, category etc, to determine whether a build was successful based on tests executed? Eventually the unit test should be created to execute the code once someone fixes it. On one hand it shows that identified bugs have not been fixed. On the other, there could be hundreds of failed unit tests showing up in the logs and weeding through the ones that should fail vs. failures due to a code check-in would be difficult to find.

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