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  • Announcing Entity Framework Code-First (CTP5 release)

    - by ScottGu
    This week the data team released the CTP5 build of the new Entity Framework Code-First library.  EF Code-First enables a pretty sweet code-centric development workflow for working with data.  It enables you to: Develop without ever having to open a designer or define an XML mapping file Define model objects by simply writing “plain old classes” with no base classes required Use a “convention over configuration” approach that enables database persistence without explicitly configuring anything Optionally override the convention-based persistence and use a fluent code API to fully customize the persistence mapping I’m a big fan of the EF Code-First approach, and wrote several blog posts about it this summer: Code-First Development with Entity Framework 4 (July 16th) EF Code-First: Custom Database Schema Mapping (July 23rd) Using EF Code-First with an Existing Database (August 3rd) Today’s new CTP5 release delivers several nice improvements over the CTP4 build, and will be the last preview build of Code First before the final release of it.  We will ship the final EF Code First release in the first quarter of next year (Q1 of 2011).  It works with all .NET application types (including both ASP.NET Web Forms and ASP.NET MVC projects). Installing EF Code First You can install and use EF Code First CTP5 using one of two ways: Approach 1) By downloading and running a setup program.  Once installed you can reference the EntityFramework.dll assembly it provides within your projects.      or: Approach 2) By using the NuGet Package Manager within Visual Studio to download and install EF Code First within a project.  To do this, simply bring up the NuGet Package Manager Console within Visual Studio (View->Other Windows->Package Manager Console) and type “Install-Package EFCodeFirst”: Typing “Install-Package EFCodeFirst” within the Package Manager Console will cause NuGet to download the EF Code First package, and add it to your current project: Doing this will automatically add a reference to the EntityFramework.dll assembly to your project:   NuGet enables you to have EF Code First setup and ready to use within seconds.  When the final release of EF Code First ships you’ll also be able to just type “Update-Package EFCodeFirst” to update your existing projects to use the final release. EF Code First Assembly and Namespace The CTP5 release of EF Code First has an updated assembly name, and new .NET namespace: Assembly Name: EntityFramework.dll Namespace: System.Data.Entity These names match what we plan to use for the final release of the library. Nice New CTP5 Improvements The new CTP5 release of EF Code First contains a bunch of nice improvements and refinements. Some of the highlights include: Better support for Existing Databases Built-in Model-Level Validation and DataAnnotation Support Fluent API Improvements Pluggable Conventions Support New Change Tracking API Improved Concurrency Conflict Resolution Raw SQL Query/Command Support The rest of this blog post contains some more details about a few of the above changes. Better Support for Existing Databases EF Code First makes it really easy to create model layers that work against existing databases.  CTP5 includes some refinements that further streamline the developer workflow for this scenario. Below are the steps to use EF Code First to create a model layer for the Northwind sample database: Step 1: Create Model Classes and a DbContext class Below is all of the code necessary to implement a simple model layer using EF Code First that goes against the Northwind database: EF Code First enables you to use “POCO” – Plain Old CLR Objects – to represent entities within a database.  This means that you do not need to derive model classes from a base class, nor implement any interfaces or data persistence attributes on them.  This enables the model classes to be kept clean, easily testable, and “persistence ignorant”.  The Product and Category classes above are examples of POCO model classes. EF Code First enables you to easily connect your POCO model classes to a database by creating a “DbContext” class that exposes public properties that map to the tables within a database.  The Northwind class above illustrates how this can be done.  It is mapping our Product and Category classes to the “Products” and “Categories” tables within the database.  The properties within the Product and Category classes in turn map to the columns within the Products and Categories tables – and each instance of a Product/Category object maps to a row within the tables. The above code is all of the code required to create our model and data access layer!  Previous CTPs of EF Code First required an additional step to work against existing databases (a call to Database.Initializer<Northwind>(null) to tell EF Code First to not create the database) – this step is no longer required with the CTP5 release.  Step 2: Configure the Database Connection String We’ve written all of the code we need to write to define our model layer.  Our last step before we use it will be to setup a connection-string that connects it with our database.  To do this we’ll add a “Northwind” connection-string to our web.config file (or App.Config for client apps) like so:   <connectionStrings>          <add name="Northwind"          connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;AttachDBFilename=|DataDirectory|\northwind.mdf;User Instance=true"          providerName="System.Data.SqlClient" />   </connectionStrings> EF “code first” uses a convention where DbContext classes by default look for a connection-string that has the same name as the context class.  Because our DbContext class is called “Northwind” it by default looks for a “Northwind” connection-string to use.  Above our Northwind connection-string is configured to use a local SQL Express database (stored within the \App_Data directory of our project).  You can alternatively point it at a remote SQL Server. Step 3: Using our Northwind Model Layer We can now easily query and update our database using the strongly-typed model layer we just built with EF Code First. The code example below demonstrates how to use LINQ to query for products within a specific product category.  This query returns back a sequence of strongly-typed Product objects that match the search criteria: The code example below demonstrates how we can retrieve a specific Product object, update two of its properties, and then save the changes back to the database: EF Code First handles all of the change-tracking and data persistence work for us, and allows us to focus on our application and business logic as opposed to having to worry about data access plumbing. Built-in Model Validation EF Code First allows you to use any validation approach you want when implementing business rules with your model layer.  This enables a great deal of flexibility and power. Starting with this week’s CTP5 release, EF Code First also now includes built-in support for both the DataAnnotation and IValidatorObject validation support built-into .NET 4.  This enables you to easily implement validation rules on your models, and have these rules automatically be enforced by EF Code First whenever you save your model layer.  It provides a very convenient “out of the box” way to enable validation within your applications. Applying DataAnnotations to our Northwind Model The code example below demonstrates how we could add some declarative validation rules to two of the properties of our “Product” model: We are using the [Required] and [Range] attributes above.  These validation attributes live within the System.ComponentModel.DataAnnotations namespace that is built-into .NET 4, and can be used independently of EF.  The error messages specified on them can either be explicitly defined (like above) – or retrieved from resource files (which makes localizing applications easy). Validation Enforcement on SaveChanges() EF Code-First (starting with CTP5) now automatically applies and enforces DataAnnotation rules when a model object is updated or saved.  You do not need to write any code to enforce this – this support is now enabled by default.  This new support means that the below code – which violates our above rules – will automatically throw an exception when we call the “SaveChanges()” method on our Northwind DbContext: The DbEntityValidationException that is raised when the SaveChanges() method is invoked contains a “EntityValidationErrors” property that you can use to retrieve the list of all validation errors that occurred when the model was trying to save.  This enables you to easily guide the user on how to fix them.  Note that EF Code-First will abort the entire transaction of changes if a validation rule is violated – ensuring that our database is always kept in a valid, consistent state. EF Code First’s validation enforcement works both for the built-in .NET DataAnnotation attributes (like Required, Range, RegularExpression, StringLength, etc), as well as for any custom validation rule you create by sub-classing the System.ComponentModel.DataAnnotations.ValidationAttribute base class. UI Validation Support A lot of our UI frameworks in .NET also provide support for DataAnnotation-based validation rules. For example, ASP.NET MVC, ASP.NET Dynamic Data, and Silverlight (via WCF RIA Services) all provide support for displaying client-side validation UI that honor the DataAnnotation rules applied to model objects. The screen-shot below demonstrates how using the default “Add-View” scaffold template within an ASP.NET MVC 3 application will cause appropriate validation error messages to be displayed if appropriate values are not provided: ASP.NET MVC 3 supports both client-side and server-side enforcement of these validation rules.  The error messages displayed are automatically picked up from the declarative validation attributes – eliminating the need for you to write any custom code to display them. Keeping things DRY The “DRY Principle” stands for “Do Not Repeat Yourself”, and is a best practice that recommends that you avoid duplicating logic/configuration/code in multiple places across your application, and instead specify it only once and have it apply everywhere. EF Code First CTP5 now enables you to apply declarative DataAnnotation validations on your model classes (and specify them only once) and then have the validation logic be enforced (and corresponding error messages displayed) across all applications scenarios – including within controllers, views, client-side scripts, and for any custom code that updates and manipulates model classes. This makes it much easier to build good applications with clean code, and to build applications that can rapidly iterate and evolve. Other EF Code First Improvements New to CTP5 EF Code First CTP5 includes a bunch of other improvements as well.  Below are a few short descriptions of some of them: Fluent API Improvements EF Code First allows you to override an “OnModelCreating()” method on the DbContext class to further refine/override the schema mapping rules used to map model classes to underlying database schema.  CTP5 includes some refinements to the ModelBuilder class that is passed to this method which can make defining mapping rules cleaner and more concise.  The ADO.NET Team blogged some samples of how to do this here. Pluggable Conventions Support EF Code First CTP5 provides new support that allows you to override the “default conventions” that EF Code First honors, and optionally replace them with your own set of conventions. New Change Tracking API EF Code First CTP5 exposes a new set of change tracking information that enables you to access Original, Current & Stored values, and State (e.g. Added, Unchanged, Modified, Deleted).  This support is useful in a variety of scenarios. Improved Concurrency Conflict Resolution EF Code First CTP5 provides better exception messages that allow access to the affected object instance and the ability to resolve conflicts using current, original and database values.  Raw SQL Query/Command Support EF Code First CTP5 now allows raw SQL queries and commands (including SPROCs) to be executed via the SqlQuery and SqlCommand methods exposed off of the DbContext.Database property.  The results of these method calls can be materialized into object instances that can be optionally change-tracked by the DbContext.  This is useful for a variety of advanced scenarios. Full Data Annotations Support EF Code First CTP5 now supports all standard DataAnnotations within .NET, and can use them both to perform validation as well as to automatically create the appropriate database schema when EF Code First is used in a database creation scenario.  Summary EF Code First provides an elegant and powerful way to work with data.  I really like it because it is extremely clean and supports best practices, while also enabling solutions to be implemented very, very rapidly.  The code-only approach of the library means that model layers end up being flexible and easy to customize. This week’s CTP5 release further refines EF Code First and helps ensure that it will be really sweet when it ships early next year.  I recommend using NuGet to install and give it a try today.  I think you’ll be pleasantly surprised by how awesome it is. Hope this helps, Scott

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  • Adaptive ADF/WebCenter template for the iPad

    - by Maiko Rocha
    One of my WebCenter Portal customers was asking about adaptive design with ADF/WebCenter Portal and how they could go about creating an adaptive iPad template for their WebCenter Portal application. They were looking not only for the out-of-the-box support for mobile Safari which is certified against PS5+ (11.1.1.6) for ADF/WebCenter - but also to create a specific template to streamline their workflow on the iPad. Seems like they wanted something in the lines of Yahoo! Mail provides for the iPad - so the example I will use is shamelessly inspired by Y! Mail's iPad UI.  But first, let's quickly understand how can we bake in some adaptive goodness into ADF Faces. First thing we need to understand is, yes, there are a couple of constraints that we will need to work around, namely, the use or layout managers and skins. Please also keep in mind that I'm not and I don't pretend to be a web designer, much less an UX specialist, so feel free to leave your thoughts on the matter in the comments section. Now, back to the limitations. Layout Managers ADF Faces layout managers create an abstraction on top of the generated HTML code for a page so a developer doesn't need to be worried about how to size and dimension the UI layout (eg, af:panelStretchLayout). Although layout managers are very helpful, in this specific situation we will need to know a little bit more of how the final HTML is being rendered so we can apply the CSS class accordingly and create transition containers where the media queries will be applied - now, if you're using 11gR2 (11.1.2.2.3) there's the new component af:panelGridLayout (here and here) that will greatly improve creating responsive templates and pages because it is based on the grid/fluid systems and will generate straight out to DIVs on your final page. For now, I'm limited to PS5 and the af:panelStretchLayout component as a starting point because that's the release my customer is on. Skins You won't be able to use media queries, or use anything with "@" notation on the skin CSS file - the skin pre-processor will remove all extraneous "@" from the CSS file. The solution is to split your CSS in two separate files: a skin CSS file and plain CSS where you will add the media queries. The issue here is that you won't be able to use media queries for any faces components. We can, though, still apply the media queries for the components like af:panelGroupLayout and af:panelBorderLayout through their styleClass property to enable these components to be responsive to to the iPad orientation, by changing its dimensions, font sizes, hide/show areas, etc. Difference between responsive and adaptive design The best definition of adaptive vs responsive web design I could find is this: “Responsive web design,” as coined by Ethan Marcotte, means “fluid grids, fluid images/media & media queries.” “Adaptive web design,” as I use it, is about creating interfaces that adapt to the user’s capabilities (in terms of both form and function). To me, “adaptive web design” is just another term for “progressive enhancement” of which responsive web design can (an often should) be an integral part, but is a more holistic approach to web design in that it also takes into account varying levels of markup, CSS, JavaScript and assistive technology support. Responsive/adapative web design is much more than slapping an HTML template with CSS around your content or application. The content and application themselves are part of your web design - in other words, a responsive template is just an afterthought if it is not originating from a responsive design the involves the whole web application/s. Tips on responsive / adapative design with ADF/WebCenter Some of the tips listed below were already mentioned in multiple blog posts about ADF layout and skinning, but it is still worth remembering: a simple guideline for ADF/WebCenter apps would be to first create a high-level group of devices, for example: smartphones, tablets,  and desktop. For each of these large groups, create the basic structure to provide responsiveness: a page template, a skin, and an external CSS: pagetemplate_smartphone.jspx, smartphone_skin.css, smartphone-responsive.css pagetemplate_tablet.jspx, tablet_skin.css, tablet-responsive.css pagetemplate_desktop.jspx, desktop_skin.css, desktop-responsive.css These three assets can be changed on the fly through an user-agent check on the server side, delivering the right UI to the right device. Within each of the assets, you can make fine adjustments for each subgroup of devices with media queries - for example, smart phones with different screen dimensions and pixel density. Having these three groups and the corresponding assets per group seem to be a good compromise between trying to put everything on a single set of assets - specially considering the constraints above - and going to the other side of the spectrum to create assets per discrete device (iPhone4, iPhone5, Nexus, S3, etc.). Keep in mind that these are my rules and are not in any shape or form a best practice - this is how it fits best for the scenarios I've been working with. If you need to use HTML tags on your page, surround them with af:group to protect the DOM structure For stretchable/fluid layouts: Use non-stretching containers: panelGroupLayout, panelBorderLayout, … panelBorderLayout can be used to approximate HTML table component To avoid multiple scroll bars, do not nest scrolling PanelGroupLayout components. Consider layout="vertical" For stretchable/fluid layouts: Most stretchable ADF components also work in flowing context with dimensionsFrom="auto" To stretch a component horizontally, use styleClass="AFStretchWidth" instead of  "width:100%" Skinning Don't use CSS3 @media, @import, animations, etc. on skin css files. They will be removed. CSS3 properties within a class (box-shadow, transition, etc.) work just fine. Consider resetting some skin classes to better control their rendering: body {color: inherit;font: inherit;} af|document {-tr-inhibit: all;} af|commandLink {-tr-inhibit: all;} af|goLink {-tr-inhibit: all;} af|inputText::content {font: inherit;} Specific meta tags and CSS properties: Use  <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0"/> to avoid zooming (if you want) Use -webkit-overflow-scrolling: touch to enable native momentum scrolling within overflown areas (here) Use text-rendering: optmizeLegibility to improve readability. (here) User text-overflow: ellipsis to gracefully crop overflown text. (here) The meta-tags are included in each and every page in the metaContainer facet of af:document tag. You can also use a javascript to inject the meta-tags from the template. For the purpose of the example, I wanted to use as few workarounds as possible.   The iPad template and sample application This sample application has been built as a WebCenter Portal application, but you will also be able to reuse the template and techniques on your vanilla ADF application. Keep in mind that I'm neither a designer nor a CSS specialist, so please don't bash me too much on the messy CSS file you'll find on the application.  I've extended the provided PreferencesBean class that comes with WebCenter Portal and added code to dinamically change the template and skin on the fly.   This is the sample application in landscape orientation: This is the sample application in portrait orientation - the left side menu hides automatically based on a CSS media query: Another screenshot with a skinned popup opened: This is a sample application for you to play with - ideally you shouldn't use it as a starting point. On the left side bar you will find links rendered from a WebCenter Portal navigation model - the link triggers a full request through an af:goLink, while the light blue PPR button triggers a PPR navigation. The dark blue toolbar buttons at the top don't have any function,while the Approve and Reject buttons show a skinned popup. The search box of course doesn't have any behavior attahed to it either. There's a known issue right now with some PPR calls that are randomly generating a 403 error redirecting to the login page - I didn't have time to investigate if this is iOS6 specific or not - if you have any insights please let me know your findings. You can download the sample here.

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  • Replication Services in a BI environment

    - by jorg
    In this blog post I will explain the principles of SQL Server Replication Services without too much detail and I will take a look on the BI capabilities that Replication Services could offer in my opinion. SQL Server Replication Services provides tools to copy and distribute database objects from one database system to another and maintain consistency afterwards. These tools basically copy or synchronize data with little or no transformations, they do not offer capabilities to transform data or apply business rules, like ETL tools do. The only “transformations” Replication Services offers is to filter records or columns out of your data set. You can achieve this by selecting the desired columns of a table and/or by using WHERE statements like this: SELECT <published_columns> FROM [Table] WHERE [DateTime] >= getdate() - 60 There are three types of replication: Transactional Replication This type replicates data on a transactional level. The Log Reader Agent reads directly on the transaction log of the source database (Publisher) and clones the transactions to the Distribution Database (Distributor), this database acts as a queue for the destination database (Subscriber). Next, the Distribution Agent moves the cloned transactions that are stored in the Distribution Database to the Subscriber. The Distribution Agent can either run at scheduled intervals or continuously which offers near real-time replication of data! So for example when a user executes an UPDATE statement on one or multiple records in the publisher database, this transaction (not the data itself) is copied to the distribution database and is then also executed on the subscriber. When the Distribution Agent is set to run continuously this process runs all the time and transactions on the publisher are replicated in small batches (near real-time), when it runs on scheduled intervals it executes larger batches of transactions, but the idea is the same. Snapshot Replication This type of replication makes an initial copy of database objects that need to be replicated, this includes the schemas and the data itself. All types of replication must start with a snapshot of the database objects from the Publisher to initialize the Subscriber. Transactional replication need an initial snapshot of the replicated publisher tables/objects to run its cloned transactions on and maintain consistency. The Snapshot Agent copies the schemas of the tables that will be replicated to files that will be stored in the Snapshot Folder which is a normal folder on the file system. When all the schemas are ready, the data itself will be copied from the Publisher to the snapshot folder. The snapshot is generated as a set of bulk copy program (BCP) files. Next, the Distribution Agent moves the snapshot to the Subscriber, if necessary it applies schema changes first and copies the data itself afterwards. The application of schema changes to the Subscriber is a nice feature, when you change the schema of the Publisher with, for example, an ALTER TABLE statement, that change is propagated by default to the Subscriber(s). Merge Replication Merge replication is typically used in server-to-client environments, for example when subscribers need to receive data, make changes offline, and later synchronize changes with the Publisher and other Subscribers, like with mobile devices that need to synchronize one in a while. Because I don’t really see BI capabilities here, I will not explain this type of replication any further. Replication Services in a BI environment Transactional Replication can be very useful in BI environments. In my opinion you never want to see users to run custom (SSRS) reports or PowerPivot solutions directly on your production database, it can slow down the system and can cause deadlocks in the database which can cause errors. Transactional Replication can offer a read-only, near real-time database for reporting purposes with minimal overhead on the source system. Snapshot Replication can also be useful in BI environments, if you don’t need a near real-time copy of the database, you can choose to use this form of replication. Next to an alternative for Transactional Replication it can be used to stage data so it can be transformed and moved into the data warehousing environment afterwards. In many solutions I have seen developers create multiple SSIS packages that simply copies data from one or more source systems to a staging database that figures as source for the ETL process. The creation of these packages takes a lot of (boring) time, while Replication Services can do the same in minutes. It is possible to filter out columns and/or records and it can even apply schema changes automatically so I think it offers enough features here. I don’t know how the performance will be and if it really works as good for this purpose as I expect, but I want to try this out soon!

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  • Cursors 1 Sets 0

    - by GrumpyOldDBA
    I had an interesting experience with a database I essentially know nothing about. On the server is a database which stores session state, Microsoft provide the code/database with their dot net, so I'm told. Anyway this database has sat happily on the production server for the past 4 years I guess, we've finally made the upgrade to SQL 2008 and the ASPState database has also been upgraded. It seems most likely that the performance increase of our upgrade tipped the usage of this database into...(read more)

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  • Using Oracle Proxy Authentication with JPA (eclipselink-Style)

    - by olaf.heimburger
    Security is a very intriguing topic. You will find it everywhere and you need to implement it everywhere. Yes, you need. Unfortunately, one can easily forget it while implementing the last mile. The Last Mile In a multi-tier application it is a common practice to use connection pools between the business layer and the database layer. Connection pools are quite useful to speed database connection creation and to split the load. Another very common practice is to use a specific, often called technical, user to connect to the database. This user has authentication and authorization rules that apply to all application users. Imagine you've put every effort to define roles for different types of users that use your application. These roles are necessary to differentiate between normal users, premium users, and administrators (I bet you will find or already have more roles in your application). While these user roles are pretty well used within your application, once the flow of execution enters the database everything is gone. Each and every user just has one role and is the same database user. Issues? What Issues? As long as things go well, this is not a real issue. However, things do not go well all the time. Once your application becomes famous performance decreases in certain situations or, more importantly, current and upcoming regulations and laws require that your application must be able to apply different security measures on a per user role basis at every stage of your application. If you only have a bunch of users with the same name and role you are not able to find the application usage profile that causes the performance issue, or which user has accessed data that he/she is not allowed to. Another thread to your role concept is that databases tend to be used by different applications and tools. These tools can be developer tools like SQL*Plus, SQL Developer, etc. or end user applications like BI Publisher, Oracle Forms and so on. These tools have no idea of your applications role concept and access the database the way they think is appropriate. A big oversight for your perfect role model and a big nightmare for your Chief Security Officer. Speaking of the CSO, brings up another issue: Password management. Once your technical user account is compromised, every user is able to do things that he/she is not expected to do from the design of your application. Counter Measures In the Oracle world a common counter measure is to use Virtual Private Database (VPD). This restricts the values a database user can see to the allowed minimum. However, it doesn't help in regard of a connection pool user, because this one is still not the real user. Oracle Proxy Authentication Another feature of the Oracle database is Proxy Authentication. First introduced with version 9i it is a quite useful feature for nearly every situation. The main idea behind Proxy Authentication is, to create a crippled database user who has only connect rights. Even if this user is compromised the risks are well understood and fairly limited. This user can be used in every situation in which you need to connect to the database, no matter which tool or application (see above) you use.The proxy user is perfect for multi-tier connection pools. CREATE USER app_user IDENTIFIED BY abcd1234; GRANT CREATE SESSION TO app_user; But what if you need to access real data? Well, this is the primary use case, isn't it? Now is the time to bring the application's role concept into play. You define database roles that define the grants for your identified user groups. Once you have these groups you grant access through the proxy user with the application role to the specific user. CREATE ROLE app_role_a; GRANT app_role_a TO scott; ALTER USER scott GRANT CONNECT THROUGH app_user WITH ROLE app_role_a; Now, hr has permission to connect to the database through the proxy user. Through the role you can restrict the hr's rights the are needed for the application only. If hr connects to the database directly all assigned role and permissions apply. Testing the Setup To test the setup you can use SQL*Plus and connect to your database: $ sqlplus app_user[hr]/abcd1234 Java Persistence API The Java Persistence API (JPA) is a fairly easy means to build applications that retrieve data from the database and put it into Java objects. You use plain old Java objects (POJOs) and mixin some Java annotations that define how the attributes of the object are used for storing data from the database into the Java object. Here is a sample for objects from the HR sample schema EMPLOYEES table. When using Java annotations you only specify what can not be deduced from the code. If your Java class name is Employee but the table name is EMPLOYEES, you need to specify the table name, otherwise it will fail. package demo.proxy.ejb; import java.io.Serializable; import java.sql.Timestamp; import java.util.List; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.JoinColumn; import javax.persistence.ManyToOne; import javax.persistence.NamedQueries; import javax.persistence.NamedQuery; import javax.persistence.OneToMany; import javax.persistence.Table; @Entity @NamedQueries({ @NamedQuery(name = "Employee.findAll", query = "select o from Employee o") }) @Table(name = "EMPLOYEES") public class Employee implements Serializable { @Column(name="COMMISSION_PCT") private Double commissionPct; @Column(name="DEPARTMENT_ID") private Long departmentId; @Column(nullable = false, unique = true, length = 25) private String email; @Id @Column(name="EMPLOYEE_ID", nullable = false) private Long employeeId; @Column(name="FIRST_NAME", length = 20) private String firstName; @Column(name="HIRE_DATE", nullable = false) private Timestamp hireDate; @Column(name="JOB_ID", nullable = false, length = 10) private String jobId; @Column(name="LAST_NAME", nullable = false, length = 25) private String lastName; @Column(name="PHONE_NUMBER", length = 20) private String phoneNumber; private Double salary; @ManyToOne @JoinColumn(name = "MANAGER_ID") private Employee employee; @OneToMany(mappedBy = "employee") private List employeeList; public Employee() { } public Employee(Double commissionPct, Long departmentId, String email, Long employeeId, String firstName, Timestamp hireDate, String jobId, String lastName, Employee employee, String phoneNumber, Double salary) { this.commissionPct = commissionPct; this.departmentId = departmentId; this.email = email; this.employeeId = employeeId; this.firstName = firstName; this.hireDate = hireDate; this.jobId = jobId; this.lastName = lastName; this.employee = employee; this.phoneNumber = phoneNumber; this.salary = salary; } public Double getCommissionPct() { return commissionPct; } public void setCommissionPct(Double commissionPct) { this.commissionPct = commissionPct; } public Long getDepartmentId() { return departmentId; } public void setDepartmentId(Long departmentId) { this.departmentId = departmentId; } public String getEmail() { return email; } public void setEmail(String email) { this.email = email; } public Long getEmployeeId() { return employeeId; } public void setEmployeeId(Long employeeId) { this.employeeId = employeeId; } public String getFirstName() { return firstName; } public void setFirstName(String firstName) { this.firstName = firstName; } public Timestamp getHireDate() { return hireDate; } public void setHireDate(Timestamp hireDate) { this.hireDate = hireDate; } public String getJobId() { return jobId; } public void setJobId(String jobId) { this.jobId = jobId; } public String getLastName() { return lastName; } public void setLastName(String lastName) { this.lastName = lastName; } public String getPhoneNumber() { return phoneNumber; } public void setPhoneNumber(String phoneNumber) { this.phoneNumber = phoneNumber; } public Double getSalary() { return salary; } public void setSalary(Double salary) { this.salary = salary; } public Employee getEmployee() { return employee; } public void setEmployee(Employee employee) { this.employee = employee; } public List getEmployeeList() { return employeeList; } public void setEmployeeList(List employeeList) { this.employeeList = employeeList; } public Employee addEmployee(Employee employee) { getEmployeeList().add(employee); employee.setEmployee(this); return employee; } public Employee removeEmployee(Employee employee) { getEmployeeList().remove(employee); employee.setEmployee(null); return employee; } } JPA could be used in standalone applications and Java EE containers. In both worlds you normally create a Facade to retrieve or store the values of the Entities to or from the database. The Facade does this via an EntityManager which will be injected by the Java EE container. Here is sample Facade Session Bean for a Java EE container. package demo.proxy.ejb; import java.util.HashMap; import java.util.List; import javax.ejb.Local; import javax.ejb.Remote; import javax.ejb.Stateless; import javax.persistence.EntityManager; import javax.persistence.PersistenceContext; import javax.persistence.Query; import javax.interceptor.AroundInvoke; import javax.interceptor.InvocationContext; import oracle.jdbc.driver.OracleConnection; import org.eclipse.persistence.config.EntityManagerProperties; import org.eclipse.persistence.internal.jpa.EntityManagerImpl; @Stateless(name = "DataFacade", mappedName = "ProxyUser-TestEJB-DataFacade") @Remote @Local public class DataFacadeBean implements DataFacade, DataFacadeLocal { @PersistenceContext(unitName = "TestEJB") private EntityManager em; private String username; public Object queryByRange(String jpqlStmt, int firstResult, int maxResults) { // setSessionUser(); Query query = em.createQuery(jpqlStmt); if (firstResult 0) { query = query.setFirstResult(firstResult); } if (maxResults 0) { query = query.setMaxResults(maxResults); } return query.getResultList(); } public Employee persistEmployee(Employee employee) { // setSessionUser(); em.persist(employee); return employee; } public Employee mergeEmployee(Employee employee) { // setSessionUser(); return em.merge(employee); } public void removeEmployee(Employee employee) { // setSessionUser(); employee = em.find(Employee.class, employee.getEmployeeId()); em.remove(employee); } /** select o from Employee o */ public List getEmployeeFindAll() { Query q = em.createNamedQuery("Employee.findAll"); return q.getResultList(); } Putting Both Together To use Proxy Authentication with JPA and within a Java EE container you have to take care of the additional requirements: Use an OCI JDBC driver Provide the user name that connects through the proxy user Use an OCI JDBC driver To use the OCI JDBC driver you need to set up your JDBC data source file to use the correct JDBC URL. hr jdbc:oracle:oci8:@(DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=localhost)(PORT=1521))(CONNECT_DATA=(SID=XE))) oracle.jdbc.OracleDriver user app_user 62C32F70E98297522AD97E15439FAC0E SQL SELECT 1 FROM DUAL jdbc/hrDS Application Additionally you need to make sure that the version of the shared libraries of the OCI driver match the version of the JDBC driver in your Java EE container or Java application and are within your PATH (on Windows) or LD_LIBRARY_PATH (on most Unix-based systems). Installing the Oracle Database Instance Client software works perfectly. Provide the user name that connects through the proxy user This part needs some modification of your application software and session facade. Session Facade Changes In the Session Facade we must ensure that every call that goes through the EntityManager must be prepared correctly and uniquely assigned to this session. The second is really important, as the EntityManager works with a connection pool and can not guarantee that we set the proxy user on the connection that will be used for the database activities. To avoid changing every method call of the Session Facade we provide a method to set the username of the user that connects through the proxy user. This method needs to be called by the Facade client bfore doing anything else. public void setUsername(String name) { username = name; } Next we provide a means to instruct the TopLink EntityManager Delegate to use Oracle Proxy Authentication. (I love small helper methods to hide the nitty-gritty details and avoid repeating myself.) private void setSessionUser() { setSessionUser(username); } private void setSessionUser(String user) { if (user != null && !user.isEmpty()) { EntityManagerImpl emDelegate = ((EntityManagerImpl)em.getDelegate()); emDelegate.setProperty(EntityManagerProperties.ORACLE_PROXY_TYPE, OracleConnection.PROXYTYPE_USER_NAME); emDelegate.setProperty(OracleConnection.PROXY_USER_NAME, user); emDelegate.setProperty(EntityManagerProperties.EXCLUSIVE_CONNECTION_MODE, "Always"); } } The final step is use the EJB 3.0 AroundInvoke interceptor. This interceptor will be called around every method invocation. We therefore check whether the Facade methods will be called or not. If so, we set the user for proxy authentication and the normal method flow continues. @AroundInvoke public Object proxyInterceptor(InvocationContext invocationCtx) throws Exception { if (invocationCtx.getTarget() instanceof DataFacadeBean) { setSessionUser(); } return invocationCtx.proceed(); } Benefits Using Oracle Proxy Authentification has a number of additional benefits appart from implementing the role model of your application: Fine grained access control for temporary users of the account, without compromising the original password. Enabling database auditing and logging. Better identification of performance bottlenecks. References Effective Oracle Database 10g Security by Design, David Knox TopLink Developer's Guide, Chapter 98

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • How to Visualize your Audit Data with BI Publisher?

    - by kanichiro.nishida
      Do you know how many reports on your BI Publisher server are accessed yesterday ? Or, how many users accessed to the reports yesterday, or what are the average number of the users accessed to the reports during the week vs. weekend or morning vs. afternoon ? With BI Publisher 11G, now you can audit your user’s reports access and understand the state of the reporting environment at your server, each user, or each report level. At the previous post I’ve talked about what the BI Publisher’s auditing functionality and how to enable it so that BI Publisher can start collecting such data. (How to Audit and Monitor BI Publisher Reports Access?)Now, how can you visualize such auditing data to have a better understanding and gain more insights? With Fusion Middleware Audit Framework you have an option to store the auditing data into a database instead of a log file, which is the default option. Once you enable the database storage option, that means you have your auditing data (or, user report access data) in your database tables, now no brainer, you can start visualize the data, create reports, analyze, and share with BI Publisher. So, first, let’s take a look on how to enable the database storage option for the auditing data. How to Feed the Auditing Data into Database First you need to create a database schema for Fusion Middleware Audit Framework with RCU (Repository Creation Utility). If you have already installed BI Publisher 11G you should be familiar with this RCU. It creates any database schema necessary to run any Fusion Middleware products including BI stuff. And you can use the same RCU that you used for your BI or BI Publisher installation to create this Audit schema. Create Audit Schema with RCU Here are the steps: Go to $RCU_HOME/bin and execute the ‘rcu’ command Choose Create at the starting screen and click Next. Enter your database details and click Next. Choose the option to create a new prefix, for example ‘BIP’, ‘KAN’, etc. Select 'Audit Services' from the list of schemas. Click Next and accept the tablespace creation. Click Finish to start the process. After this, there should be following three Audit related schema created in your database. <prefix>_IAU (e.g. KAN_IAU) <prefix>_IAU_APPEND (e.g. KAN_IAU_APPEND) <prefix>_IAU_VIEWER (e.g. KAN_IAU_VIEWER) Setup Datasource at WebLogic After you create a database schema for your auditing data, now you need to create a JDBC connection on your WebLogic Server so the Audit Framework can access to the database schema that was created with the RCU with the previous step. Connect to the Oracle WebLogic Server administration console: http://hostname:port/console (e.g. http://report.oracle.com:7001/console) Under Services, click the Data Sources link. Click ‘Lock & Edit’ so that you can make changes Click New –> ‘Generic Datasource’ to create a new data source. Enter the following details for the new data source:  Name: Enter a name such as Audit Data Source-0.  JNDI Name: jdbc/AuditDB  Database Type: Oracle  Click Next and select ‘Oracle's Driver (Thin XA) Versions: 9.0.1 or later’ as Database Driver (if you’re using Oracle database), and click Next. The Connection Properties page appears. Enter the following information: Database Name: Enter the name of the database (SID) to which you will connect. Host Name: Enter the hostname of the database.  Port: Enter the database port.  Database User Name: This is the name of the audit schema that you created in RCU. The suffix is always IAU for the audit schema. For example, if you gave the prefix as ‘BIP’, then the schema name would be ‘KAN_IAU’.  Password: This is the password for the audit schema that you created in RCU.   Click Next. Accept the defaults, and click Test Configuration to verify the connection. Click Next Check listed servers where you want to make this JDBC connection available. Click ‘Finish’ ! After that, make sure you click ‘Activate Changes’ at the left hand side top to take the new JDBC connection in effect. Register your Audit Data Storing Database to your Domain Finally, you can register the JNDI/JDBC datasource as your Auditing data storage with Fusion Middleware Control (EM). Here are the steps: 1. Login to Fusion Middleware Control 2. Navigate to Weblogic Domain, right click on ‘bifoundation…..’, select Security, then Audit Store. 3. Click the searchlight icon next to the Datasource JNDI Name field. 4.Select the Audit JNDI/JDBC datasource you created in the previous step in the pop-up window and click OK. 5. Click Apply to continue. 6. Restart the whole WebLogic Servers in the domain. After this, now the BI Publisher should start feeding all the auditing data into the database table called ‘IAU_BASE’. Try login to BI Publisher and open a couple of reports, you should see the activity audited in the ‘IAU_BASE’ table. If not working, you might want to check the log file, which is located at $BI_HOME/user_projects/domains/bifoundation_domain/servers/AdminServer/logs/AdminServer-diagnostic.log to see if there is any error. Once you have the data in the database table, now, it’s time to visualize with BI Publisher reports! Create a First BI Publisher Auditing Report Register Auditing Datasource as JNDI datasource First thing you need to do is to register the audit datasource (JNDI/JDBC connection) you created in the previous step as JNDI data source at BI Publisher. It is a JDBC connection registered as JNDI, that means you don’t need to create a new JDBC connection by typing the connection URL, username/password, etc. You can just register it using the JNDI name. (e.g. jdbc/AuditDB) Login to BI Publisher as Administrator (e.g. weblogic) Go to Administration Page Click ‘JNDI Connection’ under Data Sources and Click ‘New’ Type Data Source Name and JNDI Name. The JNDI Name is the one you created in the WebLogic Console as the auditing datasource. (e.g. jdbc/AuditDB) Click ‘Test Connection’ to make sure the datasource connection works. Provide appropriate roles so that the report developers or viewers can share this data source to view reports. Click ‘Apply’ to save. Create Data Model Select Data Model from the tool bar menu ‘New’ Set ‘Default Data Source’ to the audit JNDI data source you have created in the previous step. Select ‘SQL Query’ for your data set Use Query Builder to build a query or just type a sql query. Either way, the table you want to report against is ‘IAU_BASE’. This IAU_BASE table contains all the auditing data for other products running on the WebLogic Server such as JPS, OID, etc. So, if you care only specific to BI Publisher then you want to filter by using  ‘IAU_COMPONENTTYPE’ column which contains the product name (e.g. ’xmlpserver’ for BI Publisher). Here is my sample sql query. select     "IAU_BASE"."IAU_COMPONENTTYPE" as "IAU_COMPONENTTYPE",      "IAU_BASE"."IAU_EVENTTYPE" as "IAU_EVENTTYPE",      "IAU_BASE"."IAU_EVENTCATEGORY" as "IAU_EVENTCATEGORY",      "IAU_BASE"."IAU_TSTZORIGINATING" as "IAU_TSTZORIGINATING",    to_char("IAU_TSTZORIGINATING", 'YYYY-MM-DD') IAU_DATE,    to_char("IAU_TSTZORIGINATING", 'DAY') as IAU_DAY,    to_char("IAU_TSTZORIGINATING", 'HH24') as IAU_HH24,    to_char("IAU_TSTZORIGINATING", 'WW') as IAU_WEEK_OF_YEAR,      "IAU_BASE"."IAU_INITIATOR" as "IAU_INITIATOR",      "IAU_BASE"."IAU_RESOURCE" as "IAU_RESOURCE",      "IAU_BASE"."IAU_TARGET" as "IAU_TARGET",      "IAU_BASE"."IAU_MESSAGETEXT" as "IAU_MESSAGETEXT",      "IAU_BASE"."IAU_FAILURECODE" as "IAU_FAILURECODE",      "IAU_BASE"."IAU_REMOTEIP" as "IAU_REMOTEIP" from    "KAN3_IAU"."IAU_BASE" "IAU_BASE" where "IAU_BASE"."IAU_COMPONENTTYPE" = 'xmlpserver' Once you saved a sample XML for this data model, now you can create a report with this data model. Create Report Now you can use one of the BI Publisher’s layout options to design the report layout and visualize the auditing data. I’m a big fan of Online Layout Editor, it’s just so easy and simple to create reports, and on top of that, all the reports created with Online Layout Editor has the Interactive View with automatic data linking and filtering feature without any setting or coding. If you haven’t checked the Interactive View or Online Layout Editor you might want to check these previous blog posts. (Interactive Reporting with BI Publisher 11G, Interactive Master Detail Report Just A Few Clicks Away!) But of course, you can use other layout design option such as RTF template. Here are some sample screenshots of my report design with Online Layout Editor.     Visualize and Gain More Insights about your Customers (Users) ! Now you can visualize your auditing data to have better understanding and gain more insights about your reporting environment you manage. It’s been actually helping me personally to answer the  questios like below.  How many reports are accessed or opened yesterday, today, last week ? Who is accessing which report at what time ? What are the time windows when the most of the reports access happening ? What are the most viewed reports ? Who are the active users ? What are the # of reports access or user access trend for the last month, last 6 months, last 12 months, etc ? I was talking with one of the best concierge in the world at this hotel the other day, and he was telling me that the best concierge knows about their customers inside-out therefore they can provide a very private service that is customized to each customer to meet each customer’s specific needs. Well, this is true when it comes to how to administrate and manage your reporting environment, right ? The best way to serve your customers (report users, including both viewers and developers) is to understand how they use, what they use, when they use. Auditing is not just about compliance, but it’s the way to improve the customer service. The BI Publisher 11G Auditing feature enables just that to help you understand your customers better. Happy customer service, be the best reporting concierge! p.s. please share with us on what other information would be helpful for you for the auditing! Always, any feedback is a great value and inspiration for us!  

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  • How can I grant read-only access to my SQL Server 2008 database?

    - by Adrian Grigore
    Hi, I'm trying to grant read-only access (in other words: select queries only) to a user account on my SQL Server 2008 R2 database. Which rights do I have to grant to the user to make this work? I've tried several kinds of combinations of permissions on the server and the database itself, but in all cases the user could still run update queries or he could not run any queries (not even select) at all. The error message I always got was The server principal "foo" is not able to access the database "bar" under the current security context. Thanks for your help, Adrian

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  • Apple met à jour son Mac Mini : un nouveau design, et un démontage plus aisé, mais un prix salé

    Apple vient de dévoilé son nouveau MacMini : Citation: Apple Unveils All New Mac mini CUPERTINO, California?June 15, 2010?Apple® today unveiled a completely redesigned Mac® mini, featuring up to twice the graphics performance, a new HDMI port and a new SD card slot, all in an amazingly compact aluminum enclosure. Mac mini is the world's most energy efficient desktop and starting at $699, is the most affordable way to enjoy Mac OS® X, iLife® or Mac OS X Snow Leopard® Server. ?The sleek, aluminum Mac mini packs gre...

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  • Best practice for storing HTML coming from text fields to a database?

    - by user1767270
    I have an application that allows users to edit certain parts of text and then email that out. My question is what is the best way to store this in a Microsoft SQL Server database. Right now I have two tables, one holding the HTML data and one holding the plain text data. When the user saves the info, it replaces newlines with br's and puts it in the HTML-conntaining table and then puts the regular text in the other table. This way the text box has the newlines when they go to edit, but the table that contains the HTML data, has the BR's. This seems like a silly way to do things. What would be the best practice? Thanks.

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  • Getting started with Access Services —Part1

    - by ybbest
    In SharePoint2010, we can publish the access database to SharePoint and make the access database accessible to users using SharePoint site. Today, I’d like to show you how to publish the access database to SharePoint. 1. Open the access2010 and click New>>Sample templates 2. And then select Issues Web Database (you can select any web database here, I choose the Issues Web Database here) 3. The next step is to publish this access database to SharePoint, you can do so by going to File>>  Save & Publish>> Publish to Access Services 4. Finally, fill in the details of the SharePoint site and site name and publish the database to SharePoint2010.If you need to publish the access database to https SharePoint site, check my previous blog here. 5. You will see the “publish succeeded” 6. Navigate to the site you will see now your Access Database is available online.

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  • SQL 2008 Mirroring, how to failover from the mirror database?

    - by Luis
    I have configured a database mirroring setup in SQL 2008 using the High-safety, Synchronous mode, without automatic failover. I don't have a Witness instance. Regarding high availability, I understand Mirroring is a better strategy than Log Shipping (faster and smoother failover), and cheaper than Clustering (because of license and hardware costs). According to the MS docs, to do the failover you need to access to the Principal database and in the "Mirror" options click the "Failover" button. But I want to do this from the Mirror database, because what would be the benefit as all this setup is being done in case the Principal server knocks down? Evidently I am missing something. If Mirroring is not a solution for server downtime (as would be Clustering, if I understand correctly), then which practical (i.e. real world examples) cases would benefit from Mirroring for high-availability purposes? Thank you very much for your response! I really need some enlightment.

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  • How To Build An Enterprise Application - Introduction

    - by Tuan Nguyen
    An enterprise application is a software which fulfills 4 core quality attributes: Reliability Flexibility Reusability Maintainability Reliability is the ability of a system or component to perform its required functions under stated conditions for a specific period of time. Because there are no ways more than testing to make sure a system is reliability, we can exchange the term reliability with the term testability. Flexibility is the ability of changing a system's core features without violating unrelated features or components. Although flexibility can helps us to achieve interoperability easily but the opposite is not true. For example, a program might run on multiple platforms, contains logic for many scenarios but that wouldn't mean it was flexibility if it forces us rewrite code in all components when we just want to change some aspects of a feature it had. Reusability is the ability of sharing one or more system's components for another system. We should just open a component's reusability in the context in which it is used. For example, we write classes that implement UI logic and deliver them to only classes which implementing UI. Maintainability is the ability of adding or removing features to a system after it was released. Maintainability consists of many factors such as readability, analyzability, extensibility therein extensibility is critical. Maintainability requires us to write code that is longer and complexer than normal but it doesn't mean we introduce unneccessarily complex code. We always try to make our code clear and transparent to everyone. An application enterprise is built on an enterprise design which consists of two parts: low-level design and high-level design. At low-level design, it focuses on building loose-coupled classes or components. Particularly, it recommends: Each class or component undertakes only single responsibility (design based on unit test) Classes or components implement and work through interfaces (design based on contract) Dependency relationship between classes and components could be injected at run-time (design based on dependency) At high-level design, it focuses on architecting system into tiers and layers. Particularly, it recommends: Divide system into subsystems for deployment. Each subsytem is called a tier. Typical, an enterprise application would have 3 tiers as illustrated in the following figure: Arrange classes and components to logical containers called layers. Typical, an enterprise application would have 5 layers as illustrated in the following figure

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  • How to build MVC Views that work with polymorphic domain model design?

    - by Johann de Swardt
    This is more of a "how would you do it" type of question. The application I'm working on is an ASP.NET MVC4 app using Razor syntax. I've got a nice domain model which has a few polymorphic classes, awesome to work with in the code, but I have a few questions regarding the MVC front-end. Views are easy to build for normal classes, but when it comes to the polymorphic ones I'm stuck on deciding how to implement them. The one (ugly) option is to build a page which handles the base type (eg. IContract) and has a bunch of if statements to check if we passed in a IServiceContract or ISupplyContract instance. Not pretty and very nasty to maintain. The other option is to build a view for each of these IContract child classes, breaking DRY principles completely. Don't like doing this for obvious reasons. Another option (also not great) is to split the view into chunks with partials and build partial views for each of the child types that are loaded into the main view for the base type, then deciding to show or hide the partial in a single if statement in the partial. Also messy. I've also been thinking about building a master page with sections for the fields that only occur in subclasses and to build views for each subclass referencing the master page. This looks like the least problematic solution? It will allow for fairly simple maintenance and it doesn't involve code duplication. What are your thoughts? Am I missing something obvious that will make our lives easier? Suggestions?

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  • Automating deployments with the SQL Compare command line

    - by Jonathan Hickford
    In my previous article, “Five Tips to Get Your Organisation Releasing Software Frequently” I looked at how teams can automate processes to speed up release frequency. In this post, I’m looking specifically at automating deployments using the SQL Compare command line. SQL Compare compares SQL Server schemas and deploys the differences. It works very effectively in scenarios where only one deployment target is required – source and target databases are specified, compared, and a change script is automatically generated and applied. But if multiple targets exist, and pressure to increase the frequency of releases builds, this solution quickly becomes unwieldy.   This is where SQL Compare’s command line comes into its own. I’ve put together a PowerShell script that loops through the Servers table and pulls out the server and database, these are then passed to sqlcompare.exe to be used as target parameters. In the example the source database is a scripts folder, a folder structure of scripted-out database objects used by both SQL Source Control and SQL Compare. The script can easily be adapted to use schema snapshots.     -- Create a DeploymentTargets database and a Servers table CREATE DATABASE DeploymentTargets GO USE DeploymentTargets GO CREATE TABLE [dbo].[Servers]( [id] [int] IDENTITY(1,1) NOT NULL, [serverName] [nvarchar](50) NULL, [environment] [nvarchar](50) NULL, [databaseName] [nvarchar](50) NULL, CONSTRAINT [PK_Servers] PRIMARY KEY CLUSTERED ([id] ASC) ) GO -- Now insert your target server and database details INSERT INTO dbo.Servers ( serverName , environment , databaseName) VALUES ( N'myserverinstance' , N'myenvironment1' , N'mydb1') INSERT INTO dbo.Servers ( serverName , environment , databaseName) VALUES ( N'myserverinstance' , N'myenvironment2' , N'mydb2') Here’s the PowerShell script you can adapt for yourself as well. # We're holding the server names and database names that we want to deploy to in a database table. # We need to connect to that server to read these details $serverName = "" $databaseName = "DeploymentTargets" $authentication = "Integrated Security=SSPI" #$authentication = "User Id=xxx;PWD=xxx" # If you are using database authentication instead of Windows authentication. # Path to the scripts folder we want to deploy to the databases $scriptsPath = "SimpleTalk" # Path to SQLCompare.exe $SQLComparePath = "C:\Program Files (x86)\Red Gate\SQL Compare 10\sqlcompare.exe" # Create SQL connection string, and connection $ServerConnectionString = "Data Source=$serverName;Initial Catalog=$databaseName;$authentication" $ServerConnection = new-object system.data.SqlClient.SqlConnection($ServerConnectionString); # Create a Dataset to hold the DataTable $dataSet = new-object "System.Data.DataSet" "ServerList" # Create a query $query = "SET NOCOUNT ON;" $query += "SELECT serverName, environment, databaseName " $query += "FROM dbo.Servers; " # Create a DataAdapter to populate the DataSet with the results $dataAdapter = new-object "System.Data.SqlClient.SqlDataAdapter" ($query, $ServerConnection) $dataAdapter.Fill($dataSet) | Out-Null # Close the connection $ServerConnection.Close() # Populate the DataTable $dataTable = new-object "System.Data.DataTable" "Servers" $dataTable = $dataSet.Tables[0] #For every row in the DataTable $dataTable | FOREACH-OBJECT { "Server Name: $($_.serverName)" "Database Name: $($_.databaseName)" "Environment: $($_.environment)" # Compare the scripts folder to the database and synchronize the database to match # NB. Have set SQL Compare to abort on medium level warnings. $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/AbortOnWarnings:Medium") # + @("/sync" ) # Commented out the 'sync' parameter for safety, write-host $arguments & $SQLComparePath $arguments "Exit Code: $LASTEXITCODE" # Some interesting variations # Check that every database matches a folder. # For example this might be a pre-deployment step to validate everything is at the same baseline state. # Or a post deployment script to validate the deployment worked. # An exit code of 0 means the databases are identical. # # $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/Assertidentical") # Generate a report of the difference between the folder and each database. Generate a SQL update script for each database. # For example use this after the above to generate upgrade scripts for each database # Examine the warnings and the HTML diff report to understand how the script will change objects # #$arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/ScriptFile:update_$($_.environment+"_"+$_.databaseName).sql", "/report:update_$($_.environment+"_"+$_.databaseName).html" , "/reportType:Interactive", "/showWarnings", "/include:Identical") } It’s worth noting that the above example generates the deployment scripts dynamically. This approach should be problem-free for the vast majority of changes, but it is still good practice to review and test a pre-generated deployment script prior to deployment. An alternative approach would be to pre-generate a single deployment script using SQL Compare, and run this en masse to multiple targets programmatically using sqlcmd, or using a tool like SQL Multi Script.  You can use the /ScriptFile, /report, and /showWarnings flags to generate change scripts, difference reports and any warnings.  See the commented out example in the PowerShell: #$arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/ScriptFile:update_$($_.environment+"_"+$_.databaseName).sql", "/report:update_$($_.environment+"_"+$_.databaseName).html" , "/reportType:Interactive", "/showWarnings", "/include:Identical") There is a drawback of running a pre-generated deployment script; it assumes that a given database target hasn’t drifted from its expected state. Often there are (rightly or wrongly) many individuals within an organization who have permissions to alter the production database, and changes can therefore be made outside of the prescribed development processes. The consequence is that at deployment time, the applied script has been validated against a target that no longer represents reality. The solution here would be to add a check for drift prior to running the deployment script. This is achieved by using sqlcompare.exe to compare the target against the expected schema snapshot using the /Assertidentical flag. Should this return any differences (sqlcompare.exe Exit Code 79), a drift report is outputted instead of executing the deployment script.  See the commented out example. # $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/Assertidentical") Any checks and processes that should be undertaken prior to a manual deployment, should also be happen during an automated deployment. You might think about triggering backups prior to deployment – even better, automate the verification of the backup too.   You can use SQL Compare’s command line interface along with PowerShell to automate multiple actions and checks that you need in your deployment process. Automation is a practical solution where multiple targets and a higher release cadence come into play. As we know, with great power comes great responsibility – responsibility to ensure that the necessary checks are made so deployments remain trouble-free.  (The code sample supplied in this post automates the simple dynamic deployment case – if you are considering more advanced automation, e.g. the drift checks, script generation, deploying to large numbers of targets and backup/verification, please email me at [email protected] for further script samples or if you have further questions)

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  • Does Azure only support ASP.NET MVC applications and if so how should I adapt my design?

    - by RPK
    I am writing a small ASP.NET Web Application. My worries are that I want to keep the architecture same giving me the option to install it on an Intranet or on a Cloud Platform. I am not using MVC but lately learned that Azure only supports ASP.NET MVC applications. I want to know whether ASP.NET Web Forms application work on Azure/AppHarbor or not. Do I need to convert this application to MVC if Web Forms is not supported? Will the same application run on Intranet as well?

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  • Is it wise to ask about design decisions made on a product during an interview?

    - by Desolate Planet
    I've been thinking about interview questions lately and I've been reflecting on bad interview experiences I've had in the past. One of particular note is where I had asked the interviewer why the team chose to use Spring over EJB3 in their product. The interviewer pretty much tore my face off, yelling "Because Spring is not the be all and end all of Java software development, do you want this job or not?". In response to this, I told him that this probably wasn't the job for me and I walked out the interview. He told me at the start of the interview that they had high stuff turnover, the product had gone from Modula 3 to Perl to Java then after asking him a technical question, he went in flames. It seemed obvious to me that he was toxic to the company with that kind of attitude. Question: Is it a good idea to probe on architectural choices taken in an interview? If not, why? From my own point of view, an interview is a two-way process. If the interviewers are testing me on my technical skills, I've got every right to ask them the same questions to 1) Figure out what their mindset and attitudes towards developing software solutions are and 2) To figure out if there are in line with how I would approach problems of that kind. It's very possible that the interviewer who got angry was a bad interviewer and forgot that an interview is a two-way process. If I was asked this, I would have simply said something along the lines of wanting to leverage the container more, but I certainly wouldn't have tried to put him in a state of meek capitulation. The interviewer in question was the lead developer in the team.

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  • Which open source PHP project has the 'perfect' OOP design I can learn from?

    - by aditya menon
    I am a newbie to OOP, and I learn best by example. You could say this question is similar to Which Scala open source projects should I study to learn best coding practices - but in PHP. I have heard-tell that Symfony has the best 'architecture' (I will not pretend I know what that exactly means), as well as Doctrine ORM. Is it worth it to spend many months reading the source code of these projects, trying to deduce the patterns used and learning new tricks? I have seen equal number of web pages dissing and liking Zend's codebase (will provide links if deemed necessary). Do you know of any other project that would make any veteran OOP developer shed tears of joy? Please let me add that practicality and scope of use is not a concern at all here - I just want to do: Pick a project that has a codebase deemed awesome by devs way better and greater than me. Write code that achieves what the project does. Compare results and try to learn what I don't know. Basically, an academic interest codebase. Any recommendations please?

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  • Where would my different development rhythm be suitable for the work?

    - by DarenW
    Over the years I have worked on many projects, with some successful and a great benefit to the company, and some total failures with me getting fired or otherwise leaving. What is the difference? Naturally I prefer the former and wish to avoid the latter, so I'm pondering this issue. The key seems to be that my personal approach differs from the norm. I write code first, letting it be all spaghetti and chaos, using whatever tools "fit my hand" that I'm fluent in. I try to organize it, then give up and start over with a better design. I go through cycles, from thinking-design to coding-testing. This may seem to be the same as any other development process, Agile or whatever, cycling between design and coding, but there does seem to be a subtle difference: The methods (ideally) followed by most teams goes design, code; design, code; ... while I'm going code, design; code, design; (if that makes any sense.) Music analogy: some types of music have a strong downbeat while others have prominent syncopation. In practice, I just can't think in terms of UML, specifications and so on, but grok things only by attempting to code and debug and refactor ad-hoc. I need the grounding provided by coding in order to think constructively, then to offer any opinions, advice or solutions to the team and get real work done. In positions where I can initially hack up cowboy code without constraints of tool or language choices, I easily gain a "feel" for the data, requirements etc and eventually do good work. In formalized positions where paperwork and pure "design" comes first and only later any coding (even for small proof-of-concept projects), I am lost at sea and drown. Therefore, I'd like to know how to either 1) change my rhythm to match the more formalized methodology-oriented team ways of doing things, or 2) find positions at organizations where my sense of development rhythm is perfect for the work. It's probably unrealistic for a person to change their fundamental approach to things. So option 2) is preferred. So where I can I find such positions? How common is my approach and where is it seen as viable but different, and not dismissed as undisciplined or cowboy coder ways?

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  • Are there any good html 5 mmo design tutorials?

    - by Dwight Spencer
    Hey all. I got a rather inspired after playing gaia online's zOMG and wanted to revive an old project idea I've had laying around for a few years now. I'm looking to work with html5 (ie canvas, svg based sprites, & WebGL) to build a graphical web based MUD/MMO. Obviously, this is a new take on an old idea and after searching google I haven't really turned up many good resources. But does anyone have any tutorials or other resources to point me in the right direction?

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  • inforsacom ist Oracle EMEA Database Partner of the Year – wir gratulieren!

    - by A&C Redaktion
    Der Jubel war groß auf der Oracle Open World 2012 in San Francisco: inforsacom ist EMEA Specialized Database Partner of the Year! Bei der Verleihung betonte David Callaghan, Senior Vice President EMEA A&C, die Auszeichnung gehe an die spezialisierten Partner, „die höchste Level an Innovation und Leistungsfähigkeit in ihren Spezialgebieten erzielt haben.“ Die inforsacom Informationssysteme GmbH mit Sitz in Deutschland entwickelt und liefert seit 1997 integrierte IT-Lösungen im Data-Center. Die Auszeichnung des Platinum Partners ist die Krönung einer langjährigen erfolgreichen Zusammenarbeit mit Oracle. Kunden schätzen das Unternehmen als Experten für Infrastruktur-Lösungen und -Services im Bereich Rechenzentren. Neben dem Fokus auf Oracle Datenbank-Technologien ist inforsacom auch auf das Hardware- und Engineered Systems Portofolio spezialisiert. inforsacom hat als „trusted advisor“ immer den größtmöglichen Kundennutzen im Blick – das zahlt sich aus. Herzlichen Glückwunsch! Hier ist die Pressemeldung zur Award-Verleihung und das sind die Gewinner in den sechs weiteren Kategorien: Middleware: egabi Solutions (Ägypten) Applications: Accenture (Niederlande) Industry: Mannai Trading Corporation (Katar) Oracle Accelerate for Midsize Companies: Inoapps Ltd (United Kingdom) Oracle on Oracle: Capgemini Espania, S.L. (Spanien) Server and Storage Systems: Mannai Trading Corporation (Katar)

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  • inforsacom ist Oracle EMEA Database Partner of the Year – wir gratulieren!

    - by A&C Redaktion
    Der Jubel war groß auf der Oracle Open World 2012 in San Francisco: inforsacom ist EMEA Specialized Database Partner of the Year! Bei der Verleihung betonte David Callaghan, Senior Vice President EMEA A&C, die Auszeichnung gehe an die spezialisierten Partner, „die höchste Level an Innovation und Leistungsfähigkeit in ihren Spezialgebieten erzielt haben.“ Die inforsacom Informationssysteme GmbH mit Sitz in Deutschland entwickelt und liefert seit 1997 integrierte IT-Lösungen im Data-Center. Die Auszeichnung des Platinum Partners ist die Krönung einer langjährigen erfolgreichen Zusammenarbeit mit Oracle. Kunden schätzen das Unternehmen als Experten für Infrastruktur-Lösungen und -Services im Bereich Rechenzentren. Neben dem Fokus auf Oracle Datenbank-Technologien ist inforsacom auch auf das Hardware- und Engineered Systems Portofolio spezialisiert. inforsacom hat als „trusted advisor“ immer den größtmöglichen Kundennutzen im Blick – das zahlt sich aus. Herzlichen Glückwunsch! Hier ist die Pressemeldung zur Award-Verleihung und das sind die Gewinner in den sechs weiteren Kategorien: Middleware: egabi Solutions (Ägypten) Applications: Accenture (Niederlande) Industry: Mannai Trading Corporation (Katar) Oracle Accelerate for Midsize Companies: Inoapps Ltd (United Kingdom) Oracle on Oracle: Capgemini Espania, S.L. (Spanien) Server and Storage Systems: Mannai Trading Corporation (Katar)

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  • SQL SERVER – QUOTED_IDENTIFIER ON/OFF Explanation and Example – Question on Real World Usage

    - by Pinal Dave
    This is a follow up blog post of SQL SERVER – QUOTED_IDENTIFIER ON/OFF and ANSI_NULL ON/OFF Explanation. I wrote that blog six years ago and I had plans that I will write a follow up blog post of the same. Today, when I was going over my to-do list and I was surprised that I had an item there which was six years old and I never got to do that. In the earlier blog post I wrote about exploitation of the Quoted Identifier and ANSI Null. In this blog post we will see a quick example of Quoted Identifier. However, before we continue this blog post, let us see a refresh what both of Quoted Identifider do. QUOTED IDENTIFIER ON/OFF This option specifies the setting for use of double quotes. When this is on, double quotation mark is used as part of the SQL Server identifier (object name). This can be useful in situations in which identifiers are also SQL Server reserved words. In simple words when we have QUOTED IDENTIFIER ON, anything which is wrapped in double quotes becomes an object. E.g. -- The following will work SET QUOTED_IDENTIFIER ON GO CREATE DATABASE "Test1" GO -- The following will throw an error about Incorrect syntax near 'Test2'. SET QUOTED_IDENTIFIER OFF GO CREATE DATABASE "Test2" GO This feature is particularly helpful when we are working with reserved keywords in SQL Server. For example if you have to create a database with the name VARCHAR or INT or DATABASE you may want to put double quotes around your database name and turn on quoted identifiers to create a database with the such name. Personally, I do not think so anybody will ever create a database with the reserve keywords intentionally, as it will just lead to confusion. Here is another example to give you further clarity about how Quoted Idenifier setting works with SELECT statement. -- The following will throw an error about Invalid column name 'Column'. SET QUOTED_IDENTIFIER ON GO SELECT "Column" GO -- The following will work SET QUOTED_IDENTIFIER OFF GO SELECT "Column" GO Personally, I always use the following method to create database as it works irrespective of what is the quoted identifier’s status. It always creates objects with my desire name whenever I would like to create. CREATE DATABASE [Test3] I believe the future of the quoted identifier on or off is useful in the real world when we have script generated from another database where this setting was ON and we have to now execute the same script again in our environment again. Question to you - I personally have never used this feature as I mentioned earlier. I believe this feature is there to support the scripts which are generated in another SQL Database or generate the script for other database. Do you have a real world scenario where we need to turn on or off Quoted Identifiers. Click to Download Scripts Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Happy New Year! Upcoming Events in January 2011

    - by mandy.ho
    Oracle Database kicks off the New Year at the following events during the month of January. Hope to see you there and please send in your pictures and feedback! Jan 20, 2011 - San Francisco, CA LinkShare Symposium West 2011 Oracle is a proud Gold Sponsor at the LinkShare Symposium West 2011 January 20 in San Francisco, California. Year after year LinkShare has been bringing their network the opportunity to come to life. At the LinkShare Symposium online performance marketing leaders meet to optimize face-to-face during a full day of networking. Learn more by attending Oracle Breakout Session, "Omni - Channel Retailing, What is possible now?" on Thursday, January 20, 11:15 a.m. - 12:00 noon, Grand Ballroom. http://eventreg.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=128306&src=6954634&src=6954634&Act=397 Jan 24, 2011 - Cincinnati, OH Greater Cincinnati Oracle User Group Meeting "Tom Kyte Day" - Featuring a day of sessions presented by Senior Technical Architect, Tom Kyte. Sessions include "Top 10, no 11, new features of Oracle Database 11g Release 2" and "What do I really need to know when upgrading", plus more. http://www.gcoug.org/ Jan 25, 2011 - Vancouver, British Columbia Oracle Security Solutions Forum Featuring a Special Keynote Presentation from Tom Kyte - Complete Database Security Join us at this half-day event; Oracle Database Security Solutions: Complete Information Security. Learn how Oracle Database Security solutions help you: • Prevent external threats like SQL injection attacks from reaching your databases • Transparently encrypt application data without application changes • Prevent privileged database users and administrators from accessing data • Use native database auditing to monitor and report on database activity • Mask production data for safe use in nonproduction environments http://eventreg.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=126974&src=6958351&src=6958351&Act=97 Jan 26, 2011 - Halifax, Nova Scotia Oracle Database Security Technology Day Exclusive Seminar on Complete Information Security with Oracle Database 11g The amount of digital data within organizations is growing at unprecedented rates, as is the value of that data and the challenges of safeguarding it. Yet most IT security programs fail to address database security--specifically, insecure applications and privileged users. So how can you protect your mission-critical information? Avoid risky third-party solutions? Defend against security breaches and compliance violations? And resist costly new infrastructure investments? Join us at this half-day seminar, Oracle Database Security Solutions: Complete Information Security, to find out http://eventreg.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=126269&src=6958351&src=6958351&Act=93

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  • Who are the outspoken critics of Object-Oriented design?

    - by Xepoch
    Sure, object-oriented techniques are great and have stuck around for a while. I know only less than a handful of critics of the OO principles. It seems as though most non-OO designs and architectures are shunned, yet we continue to write a lot of good software in C and solve a lot of data changes via awk/sed and countless other examples. Correct tool for the correct job, yes? I'm having a hard time finding articles, presentations, or published criticisms of OO (even Fred Brooks has blessed information hiding). Are there any well-known, published and/or outspoken critics of OO?

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