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  • Data Source Security Part 1

    - by Steve Felts
    I’ve written a couple of articles on how to store data source security credentials using the Oracle wallet.  I plan to write a few articles on the various types of security available to WebLogic Server (WLS) data sources.  There are more options than you might think! There have been several enhancements in this area in WLS 10.3.6.  There are a couple of more enhancements planned for release WLS 12.1.2 that I will include here for completeness.  This isn’t intended as a teaser.  If you call your Oracle support person, you can get them now as minor patches to WLS 10.3.6.   The current security documentation is scattered in a few places, has a few incorrect statements, and is missing a few topics.  It also seems that the knowledge of how to apply some of these features isn’t written down.  The goal of these articles is to talk about WLS data source security in a unified way and to introduce some approaches to using the available features.  Introduction to WebLogic Data Source Security Options By default, you define a single database user and password for a data source.  You can store it in the data source descriptor or make use of the Oracle wallet.  This is a very simple and efficient approach to security.  All of the connections in the connection pool are owned by this user and there is no special processing when a connection is given out.  That is, it’s a homogeneous connection pool and any request can get any connection from a security perspective (there are other aspects like affinity).  Regardless of the end user of the application, all connections in the pool use the same security credentials to access the DBMS.   No additional information is needed when you get a connection because it’s all available from the data source descriptor (or wallet). java.sql.Connection conn =  mydatasource.getConnection(); Note: You can enter the password as a name-value pair in the Properties field (this not permitted for production environments) or you can enter it in the Password field of the data source descriptor. The value in the Password field overrides any password value defined in the Properties passed to the JDBC Driver when creating physical database connections. It is recommended that you use the Password attribute in place of the password property in the properties string because the Password value is encrypted in the configuration file (stored as the password-encrypted attribute in the jdbc-driver-params tag in the module file) and is hidden in the administration console.  The Properties and Password fields are located on the administration console Data Source creation wizard or Data Source Configuration tab. The JDBC API can also be used to programmatically specify a database user name and password as in the following.  java.sql.Connection conn = mydatasource.getConnection(“user”, “password”); According to the JDBC specification, it’s supposed to take a database user and associated password but different vendors implement this differently.  WLS, by default, treats this as an application server user and password.  The pair is authenticated to see if it’s a valid user and that user is used for WLS security permission checks.  By default, the user is then mapped to a database user and password using the data source credential mapper, so this API sort of follows the specification but database credentials are one-step removed from the application code.  More details and the rationale are described later. While the default approach is simple, it does mean that only one database user is doing all of the work.  You can’t figure out who actually did the update and you can’t restrict SQL operations by who is running the operation, at least at the database level.   Any type of per-user logic will need to be in the application code instead of having the database do it.  There are various WLS data source features that can be configured to provide some per-user information about the operations to the database. WebLogic Data Source Security Options This table describes the features available for WebLogic data sources to configure database security credentials and a brief description.  It also captures information about the compatibility of these features with one another. Feature Description Can be used with Can’t be used with User authentication (default) Default getConnection(user, password) behavior – validate the input and use the user/password in the descriptor. Set client identifier Proxy Session, Identity pooling, Use database credentials Use database credentials Instead of using the credential mapper, use the supplied user and password directly. Set client identifier, Proxy session, Identity pooling User authentication, Multi Data Source Set Client Identifier Set a client identifier property associated with the connection (Oracle and DB2 only). Everything Proxy Session Set a light-weight proxy user associated with the connection (Oracle-only). Set client identifier, Use database credentials Identity pooling, User authentication Identity pooling Heterogeneous pool of connections owned by specified users. Set client identifier, Use database credentials Proxy session, User authentication, Labeling, Multi-datasource, Active GridLink Note that all of these features are available with both XA and non-XA drivers. Currently, the Proxy Session and Use Database Credentials options are on the Oracle tab of the Data Source Configuration tab of the administration console (even though the Use Database Credentials feature is not just for Oracle databases – oops).  The rest of the features are on the Identity tab of the Data Source Configuration tab in the administration console (plan on seeing them all in one place in the future). The subsequent articles will describe these features in more detail.  Keep referring back to this table to see the big picture.

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  • OSB, Service Callouts and OQL - Part 3

    - by Sabha
    In the previous sections of the "OSB, Service Callouts and OQL" series, we analyzed the threading model used by OSB for Service Callouts and analysis of OSB Server threads hung in Service callouts and identifying  the Proxies and Remote services involved in the hang using OQL. This final section of the series will focus on the corrective action to avoid Service Callout related OSB Server hangs. Please refer to the blog post for more details.

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  • Commands in Task-It - Part 1

    Download Source Code NOTE: To run the source code provided your will need to update to the RC (release candidate) versions of Silverlight 4 and VisualStudio 2010. In recent blog posts, like my MVVM post, I used Commands to invoke actions, like Saving a record. In this rather simplistic sample I will talk about the basics of Commands, and in my next post will get deeper into it. What is a Command? I remember the first time a UI designer used the word "command" I wasn't really sure what she was referring to. I later realized that it is just a term that is used to represent some UI control that can invoke an action, like a Button, HyperlinkButton, RadMenuItem, RadRadioButton, etc. Why should we use Commands? I'm sure you're familiar with the code behind approach of handling events. For example, if you had a Button and a RadMenuItem that ...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Advanced Charts Part I

    - by Tim Dexter
    Yeeeep! Another series looms ... this one could stretch out a bit and more options become available. Ever needed to generate something similar to these? Beyond what BIP can provide today but there are a few options; one from Oracle and R, now out in the wild and another out there from JFreeChart, open source and therefore almost free. Of course Google is ever present and they have been extending their chart support. I blogged the How for Google charts a while back here. Different ways to integrate but they can all help to close the charting gap for you.

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  • Developing Schema Compare for Oracle (Part 4): Script Configuration

    - by Simon Cooper
    If you've had a chance to play around with the Schema Compare for Oracle beta, you may have come across this screen in the synchronization wizard: This screen is one of the few screens that, along with the project configuration form, doesn't come from SQL Compare. This screen was designed to solve a couple of issues that, although aren't specific to Oracle, are much more of a problem than on SQL Server: Datatype conversions and NOT NULL columns. 1. Datatype conversions SQL Server is generally quite forgiving when it comes to datatype conversions using ALTER TABLE. For example, you can convert from a VARCHAR to INT using ALTER TABLE as long as all the character values are parsable as integers. Oracle, on the other hand, only allows ALTER TABLE conversions that don't change the internal data format. Essentially, every change that requires an actual datatype conversion has to be done using a rebuild with a conversion function. That's OK, as we can simply hard-code the various conversion functions for the valid datatype conversions and insert those into the rebuild SELECT list. However, as there always is with Oracle, there's a catch. Have a look at the NUMTODSINTERVAL function. As well as specifying the value (or column) to convert, you have to specify an interval_unit, which tells oracle how to interpret the input number. We can't hardcode a default for this parameter, as it is entirely dependent on the user's data context! So, in order to convert NUMBER to INTERVAL DAY TO SECOND/INTERVAL YEAR TO MONTH, we need to have feedback from the user as to what to put in this parameter while we're generating the sync script - this requires a new step in the engine action/script generation to insert these values into the script, as well as new UI to allow the user to specify these values in a sensible fashion. In implementing the engine and UI infrastructure to allow this it made much more sense to implement it for any rebuild datatype conversion, not just NUMBER to INTERVALs. For conversions which we can do, we pre-fill the 'value' box with the appropriate function from the documentation. The user can also type in arbitary SQL expressions, which allows the user to specify optional format parameters for the relevant conversion functions, or indeed call their own functions to convert between values that don't have a built-in conversion defined. As the value gets inserted as-is into the rebuild SELECT list, any expression that is valid in that context can be specified as the conversion value. 2. NOT NULL columns Another problem that is solved by the new step in the sync wizard is adding a NOT NULL column to a table. If the table contains data (as most database tables do), you can't just add a NOT NULL column, as Oracle doesn't know what value to put in the new column for existing rows - the DDL statement will fail. There are actually 3 separate scenarios for this problem that have separate solutions within the engine: Adding a NOT NULL column to a table without a rebuild Here, the workaround is to add a column default with an appropriate value to the column you're adding: ALTER TABLE tbl1 ADD newcol NUMBER DEFAULT <value> NOT NULL; Note, however, there is something to bear in mind about this solution; once specified on a column, a default cannot be removed. To 'remove' a default from a column you change it to have a default of NULL, hence there's code in the engine to treat a NULL default the same as no default at all. Adding a NOT NULL column to a table, where a separate change forced a table rebuild Fortunately, in this case, a column default is not required - we can simply insert the default value into the rebuild SELECT clause. Changing an existing NULL to a NOT NULL column To implement this, we run an UPDATE command before the ALTER TABLE to change all the NULLs in the column to the required default value. For all three, we need some way of allowing the user to specify a default value to use instead of NULL; as this is essentially the same problem as datatype conversion (inserting values into the sync script), we can re-use the UI and engine implementation of datatype conversion values. We also provide the option to alter the new column to allow NULLs, or to ignore the problem completely. Note that there is the same (long-running) problem in SQL Compare, but it is much more of an issue in Oracle as you cannot easily roll back executed DDL statements if the script fails at some point during execution. Furthermore, the engine of SQL Compare is far less conducive to inserting user-supplied values into the generated script. As we're writing the Schema Compare engine from scratch, we used what we learnt from the SQL Compare engine and designed it to be far more modular, which makes inserting procedures like this much easier.

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  • Independent Research on 1500 Companies Reveals Challenges in Performance Visibility – Part 1

    - by ndwyouell
    At the end of May I was joined by Professor Andy Neely of Cambridge University on a webinar, with an audience of over 700, to discuss the results of this extensive study which covered 13 countries and nearly every commercial and industrial sector.  What stunned both of us was not so much the number listening but the 100 questions they asked in just 1 hour.  This certainly represents a record in my experience and for those that organized the webinar. So what was all the fuss about?  Well, to begin with this was a pretty big sample and it represented organizations with over $100m sales across the USA, Europe, Africa and the Middle East. It also delivered some pretty interesting results across a wide range of EPM subjects such as profitability, planning and reporting.  Let’s look at some of those findings. We kicked off with profitability, one of the key factors in driving performance, or that is what you would think, but in fact 82% of our respondents said they did not have complete visibility into the profitability of their organization. 91% of these went further to say that, not surprisingly, this lack of knowledge into the profitability has implications with over half citing 3 or more implications.  Implications cited included misallocated resources, revenue opportunities not maximized, erroneous decisions made and impaired financial performance.  Quite a list of implications, especially given the difficult economic circumstances many organizations are operating in at this time. So why is this?  Well other results in the study point to some of the potential reasons.  Firstly 59% of respondents that use spreadsheets use them for monitoring profitability and 93% of all managers responding to the study use spreadsheets to gather and analyze information.  This is an enormous proportion given the problems with using spreadsheets based performance management systems that have been widely talked about for many years.  For profitability analysis this is particularly important when you consider the typical requirement will be to allocate cost and revenue across 6+ dimensions based on many different allocation methods.  Not something that can be done easily in spreadsheets plus it gets to be a nightmare once you want to change allocations, run different scenarios and then change the basis of your planning and budgeting! It is no wonder so many organizations have challenges in performance visibility. My next blog will look at the fragmented nature of many organizations’ planning.  In the meantime if you want to read the complete report on the research go to: http://www.oracle.com/webapps/dialogue/ns/dlgwelcome.jsp?p_ext=Y&p_dlg_id=10077790&src=7038701&Act=29

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  • Series On Embedded Development (Part 3) - Runtime Optionality

    - by Darryl Mocek
    What is runtime optionality? Runtime optionality means writing and packaging your code in such a way that all of the features are available at runtime, but aren't loaded and used if the feature isn't used. The code is separate, and you can even remove the code to save persistent storage if you know the feature will not be used. In native programming terms, it's splitting your application into separate shared libraries so you only have to load what you're using, which means it only impacts volatile memory when enabled at runtime. All the functionality is there, but if it's not used at runtime, it's not loaded. A good example of this in Java is JVMTI, Java's Virtual Machine Tool Interface. On smaller, embedded platforms, these libraries may not be there. If the libraries are not there, there's no effect on the runtime as long as you don't try to use the JVMTI features. There is a trade-off between size/performance and flexibility here. Putting code in separate libraries means loading that code will take longer and it will typically take up more persistent space. However, if the code is rarely used, you can save volatile memory by including it in a separate library. You can also use this method in Java by putting rarely-used code into one or more separate JAR's. Loading a JAR and parsing it takes CPU cycles and volatile memory. Putting all of your application's code into a single JAR means more processing for that JAR. Consider putting rarely-used code in a separate library/JAR.

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  • New Best-in-Class Solutions in Supply Chain Planning - Part 1

    Hear Nadeem Syed, Oracle Group Vice President, Advanced Planning Products discusst Oracle's recently announced best-in-class Supply Chain Planning solutions: Advanced Planning Command Center, Demand Signal Repository, Spare Parts Planning and Manufacturing Operations Center. Gain an understanding of the capabilities of these ground-breaking planning solutions and what types of enterprises can benefit from them.

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  • OSB unit testing, part 1 by Qualogy

    - by JuergenKress
    First you need to implement the simple bpel process like this : In my current project, I inherited a lot of OSB components that have been developed by (former) team members, but they all lack unit tests. This is a situation I really dislike, since this makes it much harder to refactor or bug-fix the existing code base. So, for all newly created components (and components I have to bug-fix) I strive to add unit tests. Of course, the unit tests will be created using my favourite testing tool: soapUI ! Unit of test The unit test should be created for the service composition, which in OSB terms should be the proxy service combination with its business service. Now, since you do not want to rely on any other services, you should provide mock services for all services invoked from your Component-Under-Test. In a previous article, I wrote about mocking your services in soapUI. While this approach would also be valid here, creating a mock service (and certainly deploying it on a separate WebServer) does violate one of the core principles of unit testing: to make your unit tests as self-contained as possible, i.e. not depending on any external components. In this article, I will show you how to achieve this by simply providing a mock response inside your unit test. Scenario The scenario I implement for testing is a simple currency converter; the external request consists of a from and a to currency, and an amount (in currency from). The service will perform an exchange rate lookup using the WebServiceX CurrencyConverter and return a response to the caller consisting of both the source and target currencies and amounts. For the purpose of unit testing, I will implement a mock response for the exchange rate lookup. Read the complete article here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Technorati Tags: Qualogy,OSB,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Consumer Oriented Search In Oracle Endeca Information Discovery - Part 2

    - by Bob Zurek
    As discussed in my last blog posting on this topic, Information Discovery, a core capability of the Oracle Endeca Information Discovery solution enables businesses to search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. With search as a core advanced capabilities of our product it is important to understand some of the key differences and capabilities in the underlying data store of Oracle Endeca Information Discovery and that is our Endeca Server. In the last post on this subject, we talked about Exploratory Search capabilities along with support for cascading relevance. Additional search capabilities in the Endeca Server, which differentiate from simple keyword based "search boxes" in other Information Discovery products also include: The Endeca Server Supports Set Search.  The Endeca Server is organized around set retrieval, which means that it looks at groups of results (all the documents that match a search), as well as the relationship of each individual result to the set. Other approaches only compute the relevance of a document by comparing the document to the search query – not by comparing the document to all the others. For example, a search for “U.S.” in another approach might match to the title of a document and get a high ranking. But what if it were a collection of government documents in which “U.S.” appeared in many titles, making that clue less meaningful? A set analysis would reveal this and be used to adjust relevance accordingly. The Endeca Server Supports Second-Order Relvance. Unlike simple search interfaces in traditional BI tools, which provide limited relevance ranking, such as a list of results based on key word matching, Endeca enables users to determine the most salient terms to divide up the result. Determining this second-order relevance is the key to providing effective guidance. Support for Queries and Filters. Search is the most common query type, but hardly complete, and users need to express a wide range of queries. Oracle Endeca Information Discovery also includes navigation, interactive visualizations, analytics, range filters, geospatial filters, and other query types that are more commonly associated with BI tools. Unlike other approaches, these queries operate across structured, semi-structured and unstructured content stored in the Endeca Server. Furthermore, this set is easily extensible because the core engine allows for pluggable features to be added. Like a search engine, queries are answered with a results list, ranked to put the most likely matches first. Unlike “black box” relevance solutions, which generalize one strategy for everyone, we believe that optimal relevance strategies vary across domains. Therefore, it provides line-of-business owners with a set of relevance modules that let them tune the best results based on their content. The Endeca Server query result sets are summarized, which gives users guidance on how to refine and explore further. Summaries include Guided Navigation® (a form of faceted search), maps, charts, graphs, tag clouds, concept clusters, and clarification dialogs. Users don’t explicitly ask for these summaries; Oracle Endeca Information Discovery analytic applications provide the right ones, based on configurable controls and rules. For example, the analytic application might guide a procurement agent filtering for in-stock parts by visualizing the results on a map and calculating their average fulfillment time. Furthermore, the user can interact with summaries and filters without resorting to writing complex SQL queries. The user can simply just click to add filters. Within Oracle Endeca Information Discovery, all parts of the summaries are clickable and searchable. We are living in a search driven society where business users really seem to enjoy entering information into a search box. We do this everyday as consumers and therefore, we have gotten used to looking for that box. However, the key to getting the right results is to guide that user in a way that provides additional Discovery, beyond what they may have anticipated. This is why these important and advanced features of search inside the Endeca Server have been so important. They have helped to guide our great customers to success. 

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  • Landing Page Design is Not Formulaic - Part 5

    You must have heard a lot about the fact that if anything does not lead to call-to-action, then it will not benefit you but if you want to get maximum results from your search engine marketing, then you need to look out for various SEO technique to design your landing page. If you are planning to include a 'buy now' button in your landing page, then it will surely use the eye-tracking technology but it will not guarantee you the conversion of your search engine marketing plan.

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  • How to profile LINQ to Entities queries in your asp.net applications - part 2

    - by nikolaosk
    In this post I will continue exploring ways on how to profile database activity when using the Entity Framework as the data access layer in our applications. I will use a simple asp.net web site and EF to demonstrate this. If you want to read the first post of the series click here . In this post I will use the Tracing Provider Wrappers which extend the Entity framework. You can download the whole solutions/samples project from here .The providers were developed from Jaroslaw Kowalski . 1) Unzip...(read more)

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  • Creating an Underwater Scene in Blender- Part 3

    <b>Packt:</b> "From the point we started our scene, we haven't tried any test renders yet to see how our underwater environment looks and I know you're all so eager to try and press that RENDER button (so am I), but let's make sure that we don't waste a second of our time by rendering something that's not worth the button press at all."

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  • Traits of a DBA - Part One – The Technical Side

    What does it take to become a database administrator, or what kinds of traits should I be looking for when I am hiring a DBA. Those traits can be summarized it two categories: Technical and Personal. In this article, Greg Larsen discusses the technical traits a DBA should have. Free eBook - Performance Tuning with DMVsThis free eBook provides you with the core techniques and scripts to monitor your query execution, index usage, session and transaction activity, disk IO, and more. Download the free eBook.

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  • From Editor-in-Chief to Reader (part two)

    - by alexismp
    It's time for me (Alexis) to move to new challenges and this 773rd post of mine on TheAquarium will be my last one. For all these years since TheAquarium was started by others, this place has seen the community come to life, grow and thrive. It has been an effective way for the GlassFish team to share our progress and for you the community to provide feedback, both good and not so good. Thank you for your continued readership, support and feedback, all of which contributed to keep TheAquarium the #1 technical blog at Oracle and helped us improve Java EE and GlassFish in a significant way. Oracle has exciting and ambitious plans for GlassFish 4.0 and Java EE 7 and I trust TheAquarium will remain an important link in the chain as both of these are being delivered. I leave you in the hands of savvy and sharp contributors. Long live The Aquarium! - AlexisMP

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  • OSB, Service Callouts and OQL - Part 2

    - by Sabha
    This section of the "OSB, Service Callouts and OQL" blog posting will delve into thread dump analysis of OSB server and detecting threading issues relating to Service Callout using ThreadLogic. We would also use Heap Dump and OQL to identify the related Proxies and Business services. The previous section dealt with threading model used by OSB to handle Route and Service Callouts. Please refer to the blog post for more details.

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